THE DEVELOPMENT OF GRADSNG {N FLORICULTURE: A STUDY OF QUALITY MEASUREMENTS FOR '{WO GREENHOUSE ROSE CULFWARS Thesis for the Emma of M S. MKHEGAN STATE UNIVERSWY M. Jams Coleman T955 11-45515 LIBRARY L Michigan Scan University ABSTRACT THE DEVELOPMENT‘OF GRADING IN FLORICULTURE; A STUDY OF QUALITY MEASUREMENTS FOR TWO GREENHOUSE ROSE CULTIVARS by M. Jane Coleman In a decentralized system of marketing agricul- tural products, grading and communications become important factors enabling purchasers to buy specific goods from points remote from the market—place. The purposes and effects of grading are reviewed, with particular respect to the United States Florists' Industry. ‘ Early methods and the developments in cut flower grading are traced. Emphasis is given to the investigations of the North Central Region group of Experiment Stations who are working together to determine meaningful methods of classifying cut flowers and potted plants. One of the participating stations, at Michigan State University, has been studying a possible system of grading for hybrid tea roses, oultivars Better Times and Yuletide. About 2,000 commercially graded roses have been measured for stem length, bud length and diameter, top and base stem diameters, maturity and the presence of hooks, and total weight. The results were compared with those obtained in a previous study at the University of Illinois, from which the proposed grades had been determined. It was found that Better Times roses do not vary beyond those limits set by the tentative standard grading system, in those factors found to be important in determining sales quality, namely bud length and stem length. Yuletide roses fit well into the proposed system, although the shorter buds seemingly will never make possible top grade designations for the variety. This fact should be recognized if the present minima are adopted. It is suggested that, since bud length is but weakly correlated with stem length, the grades should refer only to bud length regardless of stem length. The latter should however be stated on the package or box. ii THE DEVELOPMENT OF GRADING IN FLORICULTURE: A STUDY OF QUALITY MEASUREMENTS FOR TWO GREENHOUSE ROSE CULTIVARS by . q, [5A “ \ M3 Jane Coleman A THESIS submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Horticulture 1965 ACKNOWLEDGEMENTS The author acknowledges with gratitude the help and guidance given by Doctor R. S. Lindstrom in formulating this study; Doctor R. F. Stinson who en- couraged and assisted in presenting it; and Doctor J. D. Downes, for his advice in methods of data analysis. Appreciation is expressed to Doctor J. R. Culbert of the University of Illinois, who made available results from his previous study in rose grading. Financial support for the project was obtained from the Federal Government (through North Central Region projects), the University of Illinois, and from Michigan State University. iv TABLE OF CONTENTS PART I INTRODUCTION 1. The decentralization of agricultural markets Competition in the decentralized marketing system 2. Grading in Agriculture Historical Objectives of grading Some economic results of grading 3. Standard grades are needed in the florist industry 4. The determination of grades Opposition to grading PART II THE DEVELOPMENT OF GRADES WITHIN THE FLOWER INDUSTRY 1. Some early grades 2. North Central Region Projects 3. SAF Developments 4. Some matters and problems which have arisen during the grading programs Summary of grading accomplishments to date PART III ROSE GRADING l. Developments to date NOR tentative grades for roses 2. Testing program at MSU Page CD-QON U1 bu ll 15 16 22 28 36 42 47 52 54 59 TABLE OF CONTENTS Presentation of data: Retailer viewpoint Collection of data Results and discussion Summary Conclusions APPENDIX: Tables 13-22 LITERATURE CITED and BIBLIOGRAPHY vi PART II Table 1. PART III Table l. 10. ll. 12. APPENDIX Table l3. 14. LIST OF TABLES Summary of NOR and SAP grade standards Bunches received, November 1964 to June 1965 BETTER TIMES: Correlation coefficient May '61 - May '62 BETTER TIMES: Correlation coefficient Nov. '64 - June '65 YULETIDE: Correlation coefficient Nov. '64 - June '65 Average stem lengths Average stem weights Average top stem diameter Average base stem diameter Average flower bud diameter Average flower bud length Average number of hooks per bunch Average number of bullheads per bunch Betterflimes: Monthly data showing the distriEution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads Yuletide: Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads vii 4O 68 84 85 86 90 91 92 93 94 95 96 97 101 109 Table 15. 16. l7. l8. 19. 20. 21. 22. LIST OF TABLES (Cont.) BETTER TIMES. Summary of 8 months data (Nov—June) showing the distribution of hooks and unsatisfactory stems in the different stem length groups YULETIDE. Summary of 8 months data (Nov—June) showing the distribution of hooks and unsatisfactory stems in the different stem length groups BETTER TIMES. Summary of 8 months data (Nov—June) showing the distribution of hooks and unsatisfactory stems in each month YULETIDE. Summary of 8 months data (Nov—June) showing the distribution of hooks and unsatisfactory stems in each month Better Times. November-June data showing the distribution of hooks and unsatisfac- tory stems in 3 maturity groups, with and without bullheads Yuletide. November-June data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads Better Times. November-June data showing the distribution of hooks and unsatisfac- tory stems in 3 maturity classes with and without bullheads, in the different stem length groups Yuletide. November-June data showing the distribution of hooks and unsatisfactory stems in 3 maturity classes, with and without bullheads, in the different stem length groups viii Page 117 118 120 121 122 124 126 128 Figure LIST OF FIGURES BETTER TIMES. Satisfactory and unsatisfac— tory stems, with and without hooks, in all stem length groups for the months November '64 to June '65. YULETIDE. Satisfactory and unsatisfactory stems, with and without hooks, in all stem length groups for the months November '64 to June '65. BETTER TIMES. 8 months data showing satis- factory stems, unsatisfactory stems and hooks, by percentage in each stem length group. Page 70 71 72 YULETIDE. 8 months data showing satisfactory stems, unsatisfactory stems and hooks, by percentage in each stem length group BETTER TIMES. 8 months data showing satis- factory stems, unsatisfactory stems and hooks, by percentage in each month YULETIDE. 8 months data showing satisfactory stems and unsatisfactory stems and hooks, by percentage in each month Correlation of stem length and base diameter Correlation of stem length and total weight 73 74 76 79 80 Correlation of base diameter and total weight 81 ix ILLUSTRATIONS Page Photographs to illustrate arbitrary standards for bud maturity a) BETTER TIMES 65 b) YULETIDE 66 Photographs illustrating two other maturity designations 67 PART I INTRODUCTION 1. THE DECENTRALIZATION OF AGRICULTURAL MARKETS The marketing of agricultural produce has been moving away from large central markets for a number of years (89). l/ The rate of decentralization varies from product to product, with dependent factors including the willingness of firms to cooperate in vertically coordi— nating activities (47), and the adaptability of the products to the methods used in direct and forward sales. On the whole progress has been slow in agricul- ture; Mehren (44) indicates that the lack of development in agricultural marketing, relative to that of marketing industrial products, is due to the heterogeneity of producers, methods of processing, distribution, and handling, scale of operations, and technologies. Harold Breimyer (8) sees that there are two possible directions which the present non-uniform agricultural structure (including marketing) could take; aggregation of the heterogeneous parts into multiple units or "superfarms", or integration of farms and markets. While the first development is fraught with problems, movement towards the second has already progressed some way. In many product areas there are, in some form or other, the prerequisites for coordination — a network of ¥ 1/ Numbers in parentheses refer to 'Literature Cited'. -2- -3... physical communications linking the units of operations, a communicating language, accurately characterizing "the relevant economic variables", and a willingness to use the system (15). Others, however, are lagging in one or more of these requirements for efficient marketing today. Competition In The Decentralized Marketing System The effect that decentralized marketing has upon the competitive structure in agriculture is debated by many agricultural economists. Breimyer (7) poses the dilemma ”to what extent to preserve and service a competitive system, and to what degree and in what ways to protect the interests of producers (and other less advantageous groups) in an imperfectly competitive system." The removal of some produce from the open markets reduces the number of both sellers and buyers, and the effect is said to be nil (89); the assumption would have to be made, however, that buyers and sellers are removed in equivalent numbers. Competition between vertically coordinated marketing systems is hopefully maintained by federal action in restricting the amount of horizontal integration that can take place, thus limiting the size of any stage in the coordinated chain (47). No matter what the system is, all participants in marketing strive to attain efficiency of operations and pricing - to maximize profits (23). For the successful -4- operation of a decentralized marketing system, with its inherent contracting and forward selling (81) p. 354 usable grades and standards for the commodities bought and sold together, with adequate communication, are vital. "A program of action to deal with de- centralization in the marketing of farm products, therefore, calls for steps to bring market grades to the highest possible level of detail and accuracy, and disseminate market news on a decentralized basis comparable with the decentralization of the marketing of the physical product." 1/ The following discussion and study will deal with the development of grades, particularly in the one area of agriculture that has not yet come under extensive federal or state legislation - floriculture. 1/ Ref. (89) pt 59. 2. GRADING I The nature 0 cmuwt, even produced to manufacture. such stania oflhr agric normal cum f0? aCCura‘ Spection, : agree '1 ani x...- l/ The pul mutual] Charac. or all to Bra Variou 2/ RSf. ( 3/ The Q5 Spec11 Cohtrc CQuld which rathe] -5- 2. GRADING IN AGRICULTURE 1/ "The development of grading systems is closely associated with the growth of specialization in agriculture." 2/ The nature of most agricultural products is such that they cannot, even with the latest technology and varieties, be produced to order in the way that industrial goods are manufactured. Although egg production can now approach such standardization, the spread in size and quality of other agricultural goods (which can be depicted by a broad normal curve), including flowers, is such that in order for accurate information to be transmitted without in- spection, a crop must be graded according to some mutually agreed and known specifications. 3/ l/ The purpose of gradigg is ”to sort products into mutually exclusive groups of approximately the same characteristics of type or size or quality or of two or all of these characteristics. The purpose of standardization is "to give permanence to grades, so that the same grades can be used in various markets and from year to year." The purpose of inspection is "to determine the condition of products and to ascertain to what standards given lots conform." d3) 2/ Ref. (44) p. 276 3/ The development of mutually agreeable and meaningful specifications of product quality is the cause of much controversy in any agricultural industry. "Quality" could be defined as that characteristic of the product which induces a potential buyer to purchase that one rather than another sample of the same product. Historical Such standards evolved with the first com- mercialization of agriculture, and were initiated primarily by trade groups. Grades for livestock first became used in the 1850's, with early systems based upon the animals' girth. In 1871 Illinois established the first govern- mental grading and inspection service, for grain in Chicago markets 013; grain standard grades became manda- tory for the entire country in 1916. The only other wholly mandatory grading scheme is for cotton, which was established in 1914 when Congress passed the Cotton Futures Act (40). All other systems which have been instigated by trade groups or researchers, and subsequently adopted by the federal government, are permissive or tentative, with the exception of certain products for export such as apples and pears; for these, they are compulsory (mandatory). State grades for certain products may also be mandatory, as, for example, in California where fruits shipped regularly out-of-state must fulfill the grade standards. Not all graded agricultural produce, however, is marketed with U.S. or state grades: many cooperatives, packers, and processors have developed their own system, which may be based on the federal standards. These groups or firms may have built up a brand name around their individual standards. -7- To prevent or eliminate market abuses, standard grades have often had to be introduced (or adopted) by federal or state law. Produce graded by a recognised system can be inspected by federal or state inspectors on the request of any buyer or seller during marketing. Much of the following discussion will be con- cerned with evidence drawn from non-floricultural agricultural commodities. The reason for this is that little research as to the economic results of flower grading has come to light, primarily because so little standard grading has been done in this area. The impli- cations of findings from other studies could well apply to the floricultural market, though without evidence this is speculation only. 88)(95)(96) Many writers have stated objectives of grading, Objectives of grading (6)(12)(l3)(40)(42)(45)(48)(63)(81) and these are summarized by the following list: 1) Buyer satisfaction can be gained because quality is consistent within each pack, and certain standards can be requested for repeat purchases. 2) Grades and standards facilitate forward sales and contracting. 3) Grades are essential for meaningful market news. 4) Often the price differentials achieved by grading pro-. duce will enhance returns at least in the short run (little experience recorded in long-run returns with grades). --8-- 5) A more accurate indication of consumer preferences will be reflected back to the producer, by the presence and magnitude of the price differential. 6) Poor quality will be eliminated from the market - if the market is already saturated. Where there is a shortage, poor quality grades will show economical returns as well as the good grades. 7) Goods will be classified according to overall quality and/or usefulness for different purposes. ~ 8) Procurement costs will be decreased by eliminating the necessity for purchase based on inspection. 9) Consignments from different producers, when graded by the same standards, can be consolidated; this will re- duce both selling and procurement costs. 10) Grades will facilitate the collection of claims against damages incurred at any stage in the marketing process; an impartial inspector can ascertain the extent of the damage and give an unbiased report. 11) Financing will become easier if the potential value of a particular product can be estimated by comparing with prices presently received for similar grades. In other words, with grades, the risk in marketing is lessened. Some Economic Results of Grading Mehren (45) hypothesizes that grades extend the competitive devices in the market beyond price competition. _9.. "Conceivably, grade and brand specifications and combinations may themselves alter preferences, demands, and perhaps production techniques over time; and, perhaps most important, demands themselves may be functions over time of the introduction of new grades, brands, qualities - in short, of new product development." 1/ In the same article, Mehren justifies the use of specialized grading according to the many possible uses for produce, and the prices people are willing to pay for quality, with the statement that an affluent society contains the various alternative uses, require— ments, and monies to pay for such a multiplicity of grades. While he holds that grades would be of no economic purpose in a non-affluent society, Southworth (90) points out that they could; insofar as grading leads to more informative market news and reduced procurement costs, it would be feasible that a non—sophisticated system of grading would have economic value. If, for example, corn were graded into two parts, with only the better part being shipped out of the area, reduced relative transpor- tation costs would result since more of the consignment would be useable on arrival at the distant market. The relation between uniform grades and standards.and 1/ Ref. (45) 12.3186. -10- product differentiation 1/ is illustrated by Farris (25). He suggests that product differentiation, while creating imperfection in market competition and hence being opposite in action to product grading and standardization, can be used to the advantage of individual firms, ani may increase the variety of products offered - in other words, it en- courages new product investigation. Thus product differen— tiation and grading 2/ may well be complementary. 'Product differentiation': Kohls defines it as "that condition under which a firm gets some particular recog— nition from consumers because of some special attribute that its product has which is not shared by the products or services of other firms." Ref. (40). There is often some confusion between the terms "Grade," "Grade" means to classify by distinct steps or stages, according to visible attributes such as shape, size and color. It is hoped that visible measures of quality can be found so that a grade indicates produce quality "Quality" has come to mean the characteristics of a product that affect the price a buyer is willing to pay. The characteristics may be physical or psychological." la/ In any grading scheme for perishable commodities, minimum standards for quality characteristics of maturity, clean— liness, and damage which is visible at the time of grading, should be required. Other factors affecting quality are the unseen ones; for example, taste in food products and potential vase life for flowers, also at the time of "Condition": The condition of produce at any given time during its marketing is the quality resulting from handling practices, type of container, means of transport, temperature, and the time which has elapsed since grading. U. S. Dept. of Agriculture Yearbook 1954 "Marketing." 1/ 2/ Grade, Quality and Condition "Quality," and "Condition." as well as appearance. grading. lb/. 13/ p. 221. 2a/ "Tips on selecting fruits and vegetables". U. S. Dept. of Agriculture Marketing Bulletin No. 13, April, 1961. -11.. 3. STANDARD GRADES ARE NEEDED IN THE FLORISTS' INDUSTRY This need is based on several facts:- 1) Comparisons between markets are impossible without grades, and growers are unable to take advantage of the best of several markets at a given time 01). 2) While growers may grade well by their own standards there is a distinct lack of common language between sellers and buyers (9). 3) Growers need to know the returns on their various grades to get a more accurate view of market preferences; this is impractical and too costly to operate without universal grades. 4) Time is wasted in determining prices for ungraded flowers. 5) More than one-half of the wholesaler-retailer trade is carried out by telephone, and an adequate well-known language is necessary for accurate information to be gpassed on. The reasons for the high proportion of telephone business are given as:- a. the parking problem in any market area, b. the frequency of purchase of highly perishable commodities, c. most small towns (population less than 100,000) do not have any wholesale florist to serve the retail flower stores, d. wholesalers find it profitable to call their retailer customers and inform them of current consignments, to boost their sales. 6) By reducing the quantity on the market as a result of grading out the low quality stock, prices may be enhanced. -12... 7) The development of flower sales through mass media necessitates the use of standard grades. 8) Sellers may well exaggerate the relative quality of the flowers they handle, if they are not labelled with a known grade. (96). 9) Many retail florists have standing orders with their wholesalers, and contracting involves the use of some specification as to quality. (54). "At the present time, the floricultural industry is the only segment of United States agriculture that does not market its products according to a fixed system of grades and standards. A nationally recognised system of grades and standards would make the marketing of floricultural crops more orderly and would provide all segments of the industry with a common language that would be understood across the country in all marketing channels. A universal system of grades and standards would strengthen the economic position of this industry." 1/ "Grading is the retailers‘ problem and at the same time the growers' opportunity." 2/ Brookins restated the necessity for standard grades, and commented on the savings that can be made with them. "The lack of uniform standard graded cut flowers continues to add to the retailers' cost of Operation. The retailers can materially im- prove their upgrading positions by requiring their suppliers,to furnish them with cut flowers graded to uniform standards." 3/ 1/ Ref. (56) p.1. 2/ Ref. 0,0)p.1. 3/ Ref. io)p.31. -13- Improved Production With the great improvement in production volume that has been made possible by biological research, the major area for discovering further outlets for flowers is to be found in marketing research (78). However, marketing research results would be difficult if not im- possible to apply in the industry without meaningful standard grades and terminology (28). Furthermore, neither marketing research nor price studies can be carried out without some means of measuring flower quality (21) (94). The standpoint of the federal government was made clear to wholesale florists by Mr. J. Dimond of the U. S. Department of Agriculture, in July 1964 (22 ). The Produce Agency Act sanctions examination of wholesalers' records, and the penalization of non-recording of ship— ments and returns to growers and shippers. It "prohibits destroying, abandoning, discarding or dumping any produce received on consignment without good and sufficient cause" l/, deliberate false reporting regarding quality, condition, quantity, and handling of any consignment, and deliberate false recording likewise, with intent to defraud. The use of grades and standards will greatly facilitate recording, and the determination of minimum standards for acceptance. I7—FEfT'K22 )p.2-3. -14- In summary of the stated needs for grades in floriculture, a statement from one of the North Central Regional reports:— ‘ l/ "The application of grades and standards will facilitate trade among industry groups. A common terminology will be available to all segments of the trade, that has previously not been in exis- tence. Flowers for specific uses in the trade can be identified and graded accordingly for market and consumer satisfaction." 1/ Ref. (53) P02’30 _15_ 4. THE DETERMINATION OF GRADES "The best grading system will be such that it will move the greatest total amount into consumption and secure the greatest total price for that amount." 1/ One of the problems encountered in determining grading specifications for a given product is in developing standards which reflect economically significant differences between grades. The criteria should be those the users consider important, and those they are willing to pay for. Criteria should also be easily recognizable, for accurate and quick objective measurement. There are no clear—cut breaks at the extremes of each stated grade for agricultural produce. Not only do grade standards have to be determined, but a system <3f tolerance must be established. This allows for those Ixroducts which are marginal in quality according to the egrading system; in other words, a certain proportion will Elsually have to be arbitrarily placed in one or other of the possible grades. Failure to meet one or some of the grade specifications is allowed in a small percentage of 1ihe total quantity in that grade; the amount is usually 5 <3r 10 percent. For food products, tolerance is generally greater in the wholesale trade than it is for retail Products. (24) . ¥ 1/ Ref (40) p.205. -l6- Just where the grade boundaries will be placed depends upon the "degree to which the various users will pay premiums for certain qualities rather than substitute adjacent qualities within the ranges available." 1/ It can be demonstrated that a variation in the quality at which boundaries are placed can increase total returns, and an optimum proportion of produce falling in each grade could be hypothesized (24) (40). However, the problem is not so simple as this, for variation within a season, and from season to season, in the crop average and mean quality affect the quantity in each grade; and the changing elasticities of demand (reflecting preference and income alterations), affect the net returns. Consumer loyalty will tend to be nil if grade qualities are constantly changing in an attempt to adjust to these dynamic factors. "The best that can be done is to approximate the best average dis— tributions between grades over a number of years." 2/ There is some controversy over the most suitable vwxy of identifying grades. Historically, there has been 6: confusing multitude of names, often based on subjective aund comparative measures such as "good", "fair", ”ordinary" (4()). The simplification.of objective specifications for 1/ Ref (99) p.307. 2/ Ref (99) p.308. -17- grades seems to be impossible if a complete or even semi-complete description is to be expected. waugh states that "if everyone were thoroughly familiar with all details of all grade specifications, the names by which the different grades are called should not matter." 1/ This is true for the majority of buyers and known products 2/; but when a new buyer or new product enters the market, some quick measure of quality, indicated by the grade name, is to be expected. However, labels which imply quality or lack of it without facts to guide the consumer as to the use to which the product might be put, are misleading. To compromise the conflict that labels should carry adequate description and still be easily remembered and identified, grading systems have to rely on short, simple names and the ability of purchasers to learn through experience send by reading descriptive bulletins. Systems of non-descriptive identification that kiave been used are the A—B—C method, which has achieved some success in the canned foods industry (12). a numerical Ilabelling technique for cut flowers (65), and colored labels and wraps also for cut flowers. # w— 1/ Ref. (99) 13.3090 :L/ As indicated in the next paragraph, habitual buyers have had to learn by experience and written descrip- tions in bulletins, trade press, etc. -18- These systems do not indicate any more than a linear gradation in quality, and not, as may be the case, that a lower grade may well be perfectly adequate for certain uses. For example, the smaller ripe tomatoes in grade C may be better for immediate culinary purposes than harder grade A fruits: in the florists' industry, "shorts" are often graded low in the linear scale, but these may be ideal for makedup work. Clark and weld stated that consumers (or pur- chasers in markets or wholesale houses) tend to buy goods on the basis of personal inspection, the reputation of the establishment, and price 1/. This situation still exists in flower-buying where the florist is located.near enough to the wholesaler to be able to go there in person. These florists will say that they prefer to buy by in- spection, but as the proportion of direct sending increases ‘the non-economy of the former practice is emphasized, as :is the need for better grading systems. The hypothesis (Page 8, number's) that grades \Nill effect a more accurate reflection of consumer demand, ‘through prices, is discussed by Kohls (40). He notes the ILack of relationship between price and quality of graded Products such as tomatoes, potatoes, grain and soybeans. "This, of course, means that the rinciple objective of grading systems to facilitate reciprocal information ‘ 1/ Ref. (13) p.274. -19- transmissiOn between producers and purchasers) is not being fulfilled." 1/ He states that the foundations of some standards are very faulty; the wrong criteria may have been given importance by research scientists who imagined that they were measuring factors which actually affect consumer pur- chasing decisions (40). It seems pertinent here to ask whether purchasers are entirely rational in their decision- making processes, Whether they are judging products by factors which are actually not related to quality at all. That the latter is indeed the case in some instances is illustrated by Bayton (4); in purchasing oranges, consumers were wrongly relating skin thickness to juiciness. The use of purchaser education could show potential customers what are the correct cues 2/ to look for in deciding be— tween grades of a product. A further problem associated with grading and rnarketing is that of product deterioration between grading sand sales. Surveys of potatoes and eggs in retail stores sihowed that a significant percentage in the stores did rust meet the grade specifications it had when the lots Were graded (24). The fact that flowers are among the 1/ Ref. (40) p.207. 2/' 'Cue': stimulus that'guides response of an organism; in this context, the attribute(s of a product that guides the purchaser to evaluate its quality. -20- most perishable of agricultural products seems to be a major barrier to grading. The only solution to this problem is to grade as near the final user as possible, and as often as necessary along the marketing process. In the flower industry, this may possibly mean that in order to facilitate trading, grading would have to be carried out between a. producers and wholesalers, b. wholesalers and retailers, and c. retailers and consumers. Some kind of resorting generally does go on between re- tailer and consumers, but not between wholesalers and retailers in the United States. Opposition to Grading (lO)(l3)(40)(95) Much of the opposition cited has been from two groups:- a. Producers who market relatively poor quality goods and who would lose in their returns, until improved production techniques were introduced, and b. producers, processors and packers who already .have their own grades and standards and who can see their .self-made market advantage (by product differentiation) (lisappearing as universal uniform grades are introduced. PART II. THE DEVELOPIVIENT OF GRADES WITHIN THE FLOWER INDUSTRY -22- A number of writers have stated the requirements for standard grades in the floricultural industry. Trotter (96) believed that such a system should a. embody qualities for which buyers are willing to pay a premium, b. penalize those who use the system carelessly or fraudulently, and, c. be divorced from any one organization if it is to be universally accepted. Such a grading system has been discussed for many years, but little progress has yet been made towards nationally used flower grades. 1. SOME EARLY GRADES Trotter (1955) (96) reported grades in several areas in floriculture:- l) Carnations were graded into No. l and No. 2's according to absence or presence of split calyxes, in the eastern United States. In the Spokane market there were {Firsts (white label) and Seconds (red label), with criteria of stem length, split calyxes, color and condition of flower and foliage, and stem strength. (93). 2) Gladiolus: In Florida these were graded by Spikxe length and the number of florets per spike. Labeling was emgain by color and symbolic name - "Extra fancy", "Speccial", and "A", "B", and "C" (62) (93)- -23- 3) Rgggg were graded by diverse systems, all using stem length as a basic measurement (see Part 111 for more details about rose grades). 4) Federal grades have been in existence for some time, for two relatively unimportant crops: these are Asparagus plumosus (1930) and cut Peonies (1938). (62). A tentative draft prepared by the U.S. Depart- ment of Agriculture, for Florida cut gladiolus standards in 1950, was rejected through opposition by a majority of shippers. In 1951, U.S.D.A. grades for Virginia outdoor-grown daffodils were developed, but were not adopted as U.S. standards because they were not repre- sentative of nation-wide quality (96). It is reported that the wholesalers in the area where these grades were used were in favor of them (54). The search for factors to correlate with quality led Post to develop the Cornell Standard Weight (CSW) grades (1948). These are based on a stated high correla- tion between weight and quality (63) (65). Grades for ;pompon Chrysanthemums, snapdragons, carnations, iris, stocks, and roses were proposed. They were based on weight and stem length. Pompon Chrysanthemums are manketed in bunches, and in the CSW’grades, the number L hemmed aopm Ho soapsdonaoo .a assess \wgofi fin: is: Lmi Don, .Chfl .o ca 32 L p P p L Pl k . J“ " «TEE swfiwm x v $6 vessefi o , wwEuLikwjmfl q 1 may 1 .. 5.0 O. .0 \ H\ /./ | )1! M -/. 0 l ®.O / \ / o :.a*’.. . \ // d (if! . s q .11).) q l 0 .\ MQ3~6> L passe; Here» are zpmsoa Roam Mo soavmdohuoo .m enemas 9454 .92 Sr: . JR: .mmu .13 .85 32 “u. n. V‘sbwgr N \ O moire shrew x wastes/o amkbrhawflnwm Q awe as . V6 . m6 r wd V Laws)? L panoe Hopop was assessao omen mo soapsaossoo . m enemas ADDENDUM TO FIGURES 7, 8, and 9 COEFFICIENTS OF CORRELATION 1/ Figure 7. Stem length x Base diameter Better Times Yuletide Better Times/ Yuletide NOV. 0826 0705 0750 Dec. .916 .807 .829 Jan. .806 .867 .830 Feb. .859 .863 .857 Mar. .864 .845 .813 Apr. .724 .801 .764 May .818 .730 .750 June .800 .608 .598 Figure 8. Stem length x Total weight Better Times Yuletide Better Times/ Yuletide NOV. 0914- 0837 .840 Dee. 0954 0877 0915 Jan. .924 .909 .907 Feb. .894 .911 .900 Mar. .880 .892 .858 Apr. .848 .890 .869 May' .946 .880 .869 June .858 .485 .688 Figure 9. Base diameter x Total weight Better Times Yuletide Better Times/ Yuletide Nov. .884 .774 .829 Dec. .939 .840 .872 Jan. .830 .870 .855 Feb. .884 .886 .882 Mar . . 891 .911 .911 Apr} .888 0899 0903 May .864 0877 0879 June .845 .575 .724 H..— 1/ All coefficients here are significant at the 1% level. -83- 4. Comparison with Illinois correlation. The total Better Times and Yuletide correlation coefficients obtained for the eight months at Michigan State University, and those for the same variables deter- mined for Better Times at Illinois in 1962, are presented in Tables 2, 3, and 4. There is a similarity between the 'r' values for correlation between stem length and base diameter, stem length and total weight, base diameter and total weight, top diameter and bud length, and top diameter and bud diameter. Values for the other variables show more than a 0.2 dif- ference between the results from the two stations. ~84- Table 2 BETTER TIMES: CORRELATION COEFFICIENTS, MAY ‘6l-MAY '62 Q6) STEM BA SE TOT> BUD BUD STEM 8c LENGTH DIAM. DIAM. LENGTH DIAM. FLR. WT. STEM LENGTH 1.000 .928 .658 .414 .441 .973 BASE DIAM. .928 1.000 .828 .413 .432 .935 TOP , DIAM. .658 .828 1.000 .467 .475 .711 BUD LENGTH .414 .413 .467 1.000 .861 .536 BUD DIAM. .441 .432 .475 .861 1.000 .566 STEM & FLR.WT. .973 .935 .711 .536 .566 1.000 Table 3 —85- BETTER TIMES: CORRELATION COEFFICIENTS, 1/ NOV.'64-JUNE '65 STEM BASE TOP BUD BUD STEM E KEUUSTED LENGTH DIAM. DIAM. LENGTH DIAM. FLR.WT. STEM STEM BASE DIAM. .787 1.000 .083 .017 -.042 .870 .801 ns pg TOP DIAM. .105 .083 1.000 .286 .564 .108 .129 BUD LNGTH .107 .017 .286 1.000 .282 .152 .113 ns BUD DIAM. -.100 -.042 .564 .282 1.000 -.065* -.077* -BE. STEM & FLR.WT. .873 .870 .108 .152 -.065* 1.000 .871 ADJ. STEM .995 .801 .129 .113 -.077* .871 1.000 1/ All coefficients are significant at the 1% level except those marked * or ns. *— — Significant at the 5% level ns = Not significant at the 5% level. -86- Table 4 YULETIDE: CORRELATION COEFFICIENTS, l/ NOV.'64-JUNE '65 STEM BASE TOP BUD BUD STEM & ADJUSTED LENGTH DIAM. DIAM. LENGTH DIAM. FLR.WT. STEM STEM LENGTH 1.000 .724 .456 .206 -.008 .810 .997 ns BASE DIAM. 0724 10000 0529 0286 -0013 0832 0731 ns TOP DIAM. .456 .529 1.000 -.190 -.097 .546 .459 BUD LENGTH .206 .286 -.l90 1.000 .189 .339 .208 BUD DIAM. -.008 -.013 -.097 .189 1.000 -.028 -.061 __ ns ns ns ns STEM & FLR.WT. .810 .832 .546 .339 -.028 1.000 .804 ns ADJ. STEM .997 .731 .459 .208 -.061 .804 1.000 ns 1/ All coefficients are significant at the 1% level except those marked ns. ns = Not significant at the 5% level. -87- 5. Comparison with Illinois average values, and of Better Times with Yuletide average values. Tables 5-12. Average data gathered in the eight-month period November 1964 to June 1965 at MSU were transformed from centimeters and grams to inches and ounces, using conver- sion standards 1 inch = 2.54 centimeters, and 1 ounce = 28.375 grams. Although in this study fewer bunches were measured, a com— parison is made between the average figures for a comparable period to indicate the trend of agreement or otherwise. Table 5. Average stem lengths. These are clearly longer in Michigan data than that from Illinois. This could possibly be due to the fact that the participating grower knew he was being tested, but the consistency with which the stem's average value is greater than the stated bunch length throughout the period indicates that it is probably inherent in his grading techniques. Table 6. Average stem weight. While there seems to be little difference between the Better Times values in both tests, the average weight of Yuletide stems are clearly greater for all stem lengths. 'Varietal differences in stem weight and the complication of Lhaving a different system for each variety grown are clearly opposed to any kind of weight grading system. -88- Table 7. Average top stem diameter. The values for the two sets of Better Times co- incide closely, but that for Yuletide is consistently below the others. The top internode of any Yuletide stem was usually much narrower than the remainder of the stem below it, and retailers report that the variety is known well to be "weak-necked", requiring wiring. This factor would not, however, affect a standard grading system for all hybrid tea varieties, since it is known that flower stems of at least one variety tend to turn over at the top. Table 8. Average base stem diameter. Again, the average values for Yuletide are dif- ferent, being greater than those of Better Times; while the latter variety does not show any distinct regional variation. Table 9. Average flower bud diameter. The Michigan values for Better Times are slightly and consistently greater than those obtained in Illinois. This could reflect either larger buds obtained in Michigan, or more advanced maturity at the time of measuring. If buds were larger, their lengths should also be greater, but this is not the case. (Table 10). Since measurements were made as soon as possible after picking, the bunches being refrigerated until this time, it might be theorized that the roses are picked at a later stage in the MSU supplier's ,greenhouse than in Illinois Yuletide buds are much larger in diameter than those of Better Times. —89- Table 10. Average flOwer bud length. The values for Better Times agree closely, but those for Yuletide are considerably shorter. Comparing the values with the proposed grading system requirements, it is clear that not even the longer Better Times grades would make the "Extra Fancy" minimum bud length of 1 3/4 inches. However, this is not to say that there should be no 1 3/4 inch designation, for some of the monthly averages did exceed this. It is doubted whether Yuletide roses would ever be available in sufficient numbers of this length to warrant separation into an "Extra Fancy" grade. But buyers are (or should be) aware of this, and could be expected to pay top prices for Yuletide "Fancy" grades. Table 11. Average number of hooks per bunch. The trend for more hooks to be present in the longer stem length groups is seen in both sets of Better Times and the Yuletide data. It can also be seen that the Yuletide bunches measured at MSU included fewer hooks than the corresponding Better Times bunches. Table 12. Average number of bullheads per bunch. More bullheads are apparent in the longer stem length groups than in the short ones, for both Better Times eunl'Yuletide roses tested at MSU. The Illinois results do zurt show such a clear trend, so it is clear that the pro- Portion of bullheads varies from season to season, and Probably with different cultivation methods. -90- TABLE 5 AVERAGE STEM LENGTH in inches Better Times Yuletide Better Times Yuletide Ill. M175. ic . . Mich. Mich. '61-2 '64-5 '64-: '61-2 '64-2 '64-5 9" Nov 10.4 11.6 12.3 12"Nov 14.5 Dec 10.7 11.9 12.4 Dec 13.3 Jan 1003 ---‘ 1200 Jan 1109 1505 FGb 1107 ‘--‘ 1209 Feb 1400 1504 Mar 11.5 12.1 12.2 Mar 13.9 Apr ---- 12.8 12.3 Apr 13.5 May 11.3 12.3 12.6 May 13.5 Jun' 10.8 11.8 11.7 Jun 13.4 15.1 Average 10.9 12.1 12.3 Average 13.5 15.45 ---— 15"Nov 15.9 18.0 18.2 18"Nov 19.7 Dec 15.5 17.9 18,0 Dec 19.5 Jan 16.6 18.2 17.9 Jan 19.3 Feb 16.3 17.8 18.2 Feb 19.7 Mar 15.7 18.2 17.8 Mar 19.5 Apr 16.5 16.8 18.6 Apr 20.4 May 15.9 17.9 18.3 May 19.0 Jun 16.5 17.9 17.8 Jun 18.9 21.0 20.2 Average 16.1 17.8 18.1 Average 19.5 --~- ---- 21"NOV 2203 ““ 2309 24"NOV 2600 260‘ Dec 21.6 23.9 23.3 Dec 24.0 Jan 22.1 24.1 24.3 Jan 24.3 Feb 22.7 23.9 24.4 Feb 24.3 Mar 22.6 23.9 23.8 Mar 24.2 27.0 27.0 Apr 22.1 23.6 23.5 Apr 25.5 26.6 26.7 May 21.5 23.9 24.0 May 24.4 Jun 2203 2305 --—‘ Jun 2406 Average 22.2 23.8 23.9 Average 24.7 26.7 26.9 27"Nov 27.3 29.8 29.8 30"Nov 30.8 32.4 ---- Dec 27.8 29.9 30.0 Dec 30.7 33.0 32.7 Jan 28.3 29.9 30.3 Jan 30.9 32.8 32.8 Feb 27.2 29.8 29.5 Feb 29.6 ---- 32.7 Mar 27.4 ---- 30.9 Mar 29.5 --- --—- Apr 28.1 ---- 29.9 Apr 30.3 ---— ---- May 27.6 29.3 29.7 May 30.7 32.7 32.5 Jun 27.1 —--- -—-- Jun 30.2 ---- ---- Average 27.6 29.7 30.0 Average 30.3 32.7 32.7 *June 1961 for the Illinois data, in all stem lengths, Tables 5 to 12 -91- TABLE 6 AVERAGE STEM WEIGHT (02.) Better Times Yuletide Better Times Yuletide Ill. Mich. Mich. 111. Mich. Mich. '61-2 '64-5 '64-5 '61-2 '64-5 '64-5 9" Nov .35 .42 .53 12"Nov .51 Dec .38 .42 .44 Dec '.45 Jan .37 -.. 040 Jan 0‘9 051 Feb 0‘5 ""’" 047 Feb 051 048 Mar .41 .36 .54 Mar .50 Apr --- .47 .54 Apr .47 May 035 034* 0‘9 May .40 Jun .43 .39 .57 Jun .54 .71 Average .38 .40 .50 Average .46 .495 --- 15"Nov .54 .57 .83 18"Nov .76 Dec 053 059 065 Dec .66 Jan .58 .53 .61 Jan .62 Feb .60 .56 .61 Feb .78 Mar .58 .63 .76 Mar .75 Apr .59 .68 .78 Apr .78 May .53 .53 .75 May .61 Jun .64 .67 .79 Jun .72 .74 .77 Average .57 .60 .72 Average 1 .69 --- --- 21"Nov .90 -" .94 24"Nov 1.03 .92 Dec .75 .76 .83 Dec .87 Jan .75 .67 .72 Jan .86 Feb .88 .78 .77 Feb .94 Mar .87 .82 .93 Mar .98 .94 1.11 Apr .81 .88 .98 Apr .99 1.02 1.16 May e70 075 097 May .85 June .88 .92 -—- Jun 1.00 Average .79 .80 .88 Average .92 .96 1.14 27"Nov 1.11 1.00 1.20 30"Nov 1.30 1.11 1.31 Dec 1.03 1.00 1.00 Dec 1.13 1.07 1.04 Jan 1.08 .85 .96 Jan. 1.18 .98 1.00 Feb 1.14 .99 .92 Feb 1.20 1.09 Mar 1.13 ---- 1.22 Mar 1.23 Apr 1.14 ---- 1.26 Apr 1.23 May 1.04 1.01 1.26 May 1.20 1.11 1.32 Jun 1.02 --.- ---- Jun 1.16 Average 1.08 .97 1.11 Average 1.17 1.07 1.15 -92- TABLE 7 AVERAGE TOP STEM DIAMETER (in 32nds of an inch) Better Times Yuletide Better Times Yuletide Mich. ic . '64- '61-2 ’Mich. '64-5 Mich. '64- Ill. ‘64-5 '61-2 4.3 1 8 4.95 269719338 000000000 444454544 Jun Average cnnhewnivu adage “Pa DJFMAM 12"Nov 401 32263 000000000 444444444 950871.146 e e e e e 4.6 O 5 489232260 0.00 000000 444555545 Jun Average Mww DJ Feb Mar rnd “ya ARM 18"Nov 066777647 0 O O O O O O O 0 544444444 .1023181 _eoeeeeee .55555445 11 9810757 0 O C C C O . . 0 344455544 n a .J Jun Average r wmpw FMAM 15"Nov Dec 89 114 4.85 5.5 229265783 0 e e e e e e e e 554555545 4444444.4 .45442244 0 O 0 _55555555 7993521811 009000000 444555545 Jun Average rnd was Feb on sea Dru 21"Nov nZJRZU Re no 0 O O O O O .5:{4:2 4..5 071 a; 7. O O O O ’08, a; a; 635809037 0 e e e e e e e e 555565655 Jimgdflm .qllnjr -w- TABLE 8 AVERAGE BASE STEM DIAMETER (in 32nds of an inCh) Better Times Yuletide Better Times Yuletide Mich. ‘64-2 Mich. '64- Ill. Mich. '64-5 MiCh. '64- Ill. '61-2 '61-2 6.3 69 4:4 4.75 739701468 444455544 Jun Average cnbwry eae Pa DJFMAM 12"Nov 265802080 544455555 .19565 .44444 51" 44. 82875.135 34444.544 Jun Average cnb r Maeupw MJFMAM 9" Nov 7.6 5 I 6 243891936 ooooooooo 555556555 m wry MEN 18"Nov Dec Feb Average 706624572 665566666 613165422 555555545 873126712 5 960, A6 7;! 7. nu qaq, A9 0 O I O 7. fogs ,6 302459145 666666766 urv. mumm Feb nun pea ntd 24"Nov Average 9054032-9 6766777-6 .92036‘14 —00000000 .56666676 669144390 555666656 Jun Average 27"Nov nb r aeMPW JFMAM 21"Nov Dec 739 6 6 O O O O O 777 7 7 828 1 2 O O O O O 776 7 7 085552136 867778877 571199540 £367AIEZI7;07. m Dec Feb ry mum Jun .Average -94- TABLE 9 AVERAGE FLOWER BUD LENGTH (in inches) Better Times Yuletide Better Times Yuletide lll. Mich. Mich. Ill. Mich. Mich. '61—2 '61-§ '64-§ '61-2 '64-: '64-§ 9" Nov 1.54 1.6 1.5 12"Nov 1.54 Dec 1.67 1.6 1.4 Dec 1.70 Jan 1081 -’“ 104 Jan 1079 107 Feb 1062 --- 105 Feb 1063 107 Mar 1.75 . 1.6 1.5 Mar 1.74 May 1.37 1.7 1.5 May 1.39 Jun 1.60 1.5 1.5 Jun 1.75 1.5 Average 1.62 1.6 1.5 Average 1.65 1.7 --- 15"Nov 1.65 1.6 1.6 18"Nov 1.70 Dec 1.71 1.7 1.5 Dec 1.71 Jan 1.82 1.8 1.8 Jan 1.77 Feb 1.72 1.8 1.5 Feb 1.72 Mar 1.74 1.7 1.5 Mar 1.81 Apr 1.71 1.8 1.6 Apr 1.74 May 1.43 1.6 1.6 May 1.47 Jun 1.69 1.4 1.5 Jun 1.78 1.5 1.5 Average 1.68 1.7 1.6 Average 1.71 --- --- 21"NOV 1.75 --- 105 24"NOV 1073 106 Dec 1075 107 105 Dec 1078 Jan 1.80 1.7 1.8 Jan 1.82 Feb 1.73 1.8 1.5 Feb 1.74 Mar 1.74 1.8 1.5 Mar 1.78 1.8 1.5 Apr 1.70 1.8 1.6 Apr 1.71 1.8 1.7 May 1.47 1.6 1.6 May 1.56 Jun 1076 105 --- Jun 1077 .Average 1.71 1.7 1.6 Average 1.74 1.75 1.6 27"Nov 1.77 1.6 1.6 30"Nov 1.77 1.6 Dec 1.80 1.7 1.5 Dec 1.60 1.7 1.4 Jan 1.88 1.8 1.5 Jan 1.86 1.1 1.5 Feb 1.76 1.8 1.6 Feb 1.75 1.6 Mar 1.80 "‘ 105 Mar 1076 Apr 1.80 --- 1.6 Apr 1.72 IMay 1.60 1.7 1.7 May 1.53 1.6 1.6 Average 1.77 1.7 1.6 Average 1.72 1.65 1.53 -95- TABLE 10 AVERAGE FLOWER BUD DIAMETER (in inches) Better Times Yuletide Better Times Yuletide 111. Mich. Mich. . 'c . Mich. '61-2 '64-2 '64-2 '61-2 '64-§ '64-§ 9" Nov .85 --— --- 12"Nov .80 Dec .83 -- --~ Dec .91 Jan .96 -‘- 101 Jan .91 101 Feb 085 --- 102 FBb 081 101 Mar .92 1.0 1.2 Mar .88 Apr ." 100 103 Apr 086 May .68 1.2 1.2 May .77 Jun .83 1.0 1.3 Jun .93 1.2 Average .85 1.1 1.2 Average .86 1.1 --- 15"Nov .90 —-- --- 18"Nov .85 Dec .93 --- ~-- Dec .90 Jan .98 1.2 1.2 Jan .93 Feb .88 1.2 1.2 Feb .93 Mar .87 1.1 1.2 Mar .96 Apr .83 1.1 1.2 Apr .83 May .79 0.9 1.3 May .79 Jun .91 0.9 1.1 Jun .95 0.9 1.2 Average .89 1.1 1.2 Average .89 --— --- 21"Nov .98 -- --- 24"Nov 1.05 Dec .92 -- --— Dec .93 Jan .91 1.0 1.1 Jan .92 Feb .92 1.0 1.2 Feb .96 Mar .86 1.2 1.1 Mar .92 1.1 1.3 Apr .86 1.0 1.3 Apr .85 1.1 1.4 May .80 0.9 1.2 May .82 Jun. 097 100 --- Jun 096 Average .90 1.0 1.1 Average .93 1.1 1.35 27"Nov 1.02 30"Nov 1.04 Dec 099 ... “" Dec 089 Jan. .99 1.1 1.3 Jan .97 1.1 1.1 Feb .97 1.1 1.2 Feb .97 1.2 Mar .96 -- 1.3 Mar .96 Apr .92 --- 1.3 Apr .94 IMay .84 0.9 1.2 May .80 0.9 1.2 Jun .96 -- --- Jun 1.00 Average .96 1.0 1.2” Average .95 1.0 1.2 -95- NUMBER OF HOOKS PER BUNCH Better Times Yuletide ic .——MTEET— '61-2 '64-: '65-5 TABLE 11 Better Times Yuletide III. Mich. MicK. '61-2 '64-5 '64-§ 9" NOV 0 O O 12"Nov 4 Dec 0 O 0 Dec 1 Jan 0 - 0 Jan 0 0 Feb 1 - 0 Feb 1 Mar 0 O 0 Mar 0 Apr - O 0 Apr 0 May 0 O 0 May 0 Jun 0 O 0 Jun 2 Average 0.2 O 0 Average 1.0 15"Nov 6 O 1 18"Nov 16 Dec 1 1 1 Dec 10 Jan 1 O 0 Jan 4 Feb 3 O 0 Feb 12 Mar 1 O 0 Mar 3 Apr 0 0 0 Apr 4 May 0 0 0 May 3 Jun 3 O 0 Jun 5 0 Average 1.9 0.1 0.2 Average 7.1 21"Nov 16 - 5 24"Nov 17 9 Dec 15 2 0 Dec 19 Jan 8 O 0 Jan 14 Feb 10 2 0 Feb 9 Mar 3 0 0 Mar 8 8 Apr 5 3 0 Apr 8 6 May 6 2 0 May 9 Jun 12 O — Jun 14 Average 9.4 1.3 0.7 Average 12.3 7.7 O 27"Nbv 23 19 5 30"Nov 1O 18 - Dec 14 13 5 Dec 19 2O 6 Jan 13 1O 4 Jan 11 19 7 Feb 16 2 0 Feb 19 -- 2 Mar 15 - 0 Mar 7 - - Apr 7 - 4 Apr 6 -- - May 8 6 5 May 13 9 14 Jun 10 — - Jun 20 - -- .Average 10 4.7 Average 13.1 14 gain, I‘lldaa .- . ....JEWDII r .. w s. -97- TABLE 12 NUMBER OF BULLHEADS PER BUNCH Better Times Yuletide Better Times Yuletide . 10 . c . . c . c . '61-2 '64-2 '64-5 '61-2 '65-5 '64-5 9" Nov 0 2 0 12"Nov 0 Dec 0 1 0 Dec 1 Jan 1 - 3 Jan 0 Feb 2 - 5 Feb 1 1 Mar 2 0 2 Mar 1 Apr - 3 0 Apr 1 lay 2 0 0 May 1 Jun 0 0 0 Jun 0 0 Average 1.0 0.8 1.2 Average 0.6 — - 15"Nov 0 3 0 18"Nov 0 Dec 1 0 0 Dec 0 Jan 1 1 7 Jan 0 Feb 1 0 12 Feb 3 Mar 1 O 5 Mar 1 Apr 1 0 0 Apr 1 May 1 0 0 May 1 Jun 1 O 1 Jun 0 4 1 Average 0.9 0.5 3.1 Average 0.8 - -— 21"Nov 2 - 0 24"Nov 3 10 Dec 0 O 14 Dec 1 Jan 0 0 3 Jan 0 Feb 0 5 12 Feb 1 Mar 1 0 2 Mar 2 1 6 Apr 1 1 0 Apr 1 1 0 May 1 1 1 May 1 Jun 2 3 - Jun 3 Average 0.9 2.8 4.6 Average 1.5 27”Nov 3 8 0 30"ch 1 11 0 Dec 0 3 7 Dec 3 1 4 Jan 0 O 2 Jan 0 0 3 Feb 1 8 0 Feb 2 7 Mar 0 - 7 Mar 0 Apr 0 - 0 Apr 0 May 0 0 2 May 3 2 5 Jun 3 - - Jun 1 Average 0.9 3.8 2.6 Average 1.3 3.5 5.8 -95_ The purposes and effects of grading agricultural produce have been reviewed, particularly those pertaining to the florists‘ industry. The work of the North Central group of Experimental Stations was examined, and one aSpect, that of cut rose grading, was the subject of the present study. As part of a testing program for the grades for Better Times roses which were developed in Illinois, re- search was planned to determine the applicability of these grades to Better Times roses grown elsewhere, in Michigan. It was also hoped to discover how nearly the Better Times rraie criteria may be used for a similar variety, Yuletide. The method of grading roses which is at present in widespread use is by total length and general appearance. The North Central Region proposed system includes measures of both stem (total) and bud length. Bud length and freshness of roses are of value to the retail florist, more so than stem strength or even condition of foliage; the reason for this lies in the nature of the United States' Florists‘ business, which is mainly in flower arrangements ordered by telephone, rather than cash-ani-carry sales of out hybrid tea roses. Commercially graded hybrid tea roses, cultivars Better Times and Yuletide, were measured for those factors previously found to be pertinent in quality determinations. These are stem length, bud length and diameter, top and ..CO- ." .1 1 (3 y. base of stem diameters, maturity and the presence of . and total weight. Samples were measured each month from November 1964 through June 1965, and totalled approximately 2,000 individual roses. CONCLUSIONS do appreciable difference was found between the physical characteristics presently in use for grading of Better Times roses grown in two states, Illinois and Michigan, nor between those of Better Times and Yuletide. This shows that the proposed grading system will probably be useable interregionally, and for at least one cultivar other than Better Times, i.e. Yuletide. The one factor of bud length indicates that under the proposed system, Yuletide will never be offered for sale under the grade "Extra Fancy." The required minimum bud length for this grade is 1 3/4 inches, with stem at least 30" long, but the data which was obtained gave few Yuletide bud length values this high. However, it is clear that while buds do not exceed the stated minimum, Yuletide stem lengths do, and this point leads to a suggestion for a modification of the proposed grading scheme. It would insure grade desig— nation for such roses without necessitating their inclusion 111 shorter stem - shorter bud grades. This involves naming roses gply by bud length and appearance, and stating the Ininimum stem length to be found in each bunch on the v1 wrapper. In other words, there could be an oxtra Fancy Urade in several lengths, say 15", 21", 27" and 50". This is not so complicated as it first seems, with the possibility of 25 different labelings, as any one grower generally produces roses which grade into a few of these only, from th same p uning, cutting, and cultivation schedule. Ldrth evidence that bud length should not be (D e tied to given stem lengths is the low correlation that t MSU, between bud length and in was found, in the study stem length (see Tables 3 and 4, Pages 85 and 86). If the grading system were to account for different bud lengths in any stem length group, the unde— sirable characteristic of hooks (which are included to incre so the apparent ster length) might be eliminated, and this problem would be overcome. A shorter bunch of top quality (as measured by long buds) would make as high a price if not higher than a long-stemmed bunch of short buds (mediocre quality). The value of maintaining stem length and, supposedly, price, by including hooks would be lowered if not lost entirely, since retail florists prefer never to handle roses with hooks. APPENDIX Tables 13—22 -lOl- TABLE 13 (BETTER TIMES Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads Tight/ Fairly Faif7 Open/ NOVEMBER Tight Bull tight Bull 0p§n Bull Total 9" Satis.,no hook l 2 9 0 9 0 21' " ,with hook O 0 0 O 0 0 0 Unsat.,no hook O 0 2 0 2 0 4 " ,with hook 0 O 0 0 0 0 0 Total 1 2 ll 0 ll 0 25 Satis.,no hook 2 0 9 2 10 l 24 " ,with hook 0 0 0 0 0 0 0 Unsat.,no hook l 0 0 0 0 0 l " ,with hook 0 0 0 0 O 0 0 Total 3 0 9 2 10 l 25 -24" Satis.,no hook 0 0 7 5 l 3 l6 " ,with hook 0 l 3 0 3 l 8 Unsat.,no hook 0 0 0 0 0 0 0 " ,with hook 0 0 0 0 1 0 1 Total 0 1 10 5 5 4 25 Satis.,no hook 0 0 l 3 l l 6 " ,with hook 2 0 8 3 5 1 l9 'Unsat.,no hook 0 0 0 0 0 0 0 " ,with hook 0 0 0 0 0 0 0 Total 2 0 9 6 6 2 25 "mt Satis.,no hook l l 4 0 1 0 7 " ,with book 1 4 6 4 l 2 l8 Unsat.,no hook 0 0 0 0 0 0 0 " ,with hook 0 0 0 0 0 0 0 Total 2 5 10 4 2 2 25 ~102- Table 13 BETTER TIMES Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads Tight/FairlyfiFair7' 0pen7 DECEMBER Tight Bull tight Bull Qpen Bull Total 9" Satis.,no hook 0 l 3 0 l9 0 23 " ,with hook 0 0 0 0 0 0 0 Unsat.,no hook 0 0 0 0 2 0 2 " ,with book 0 0 0 : 0 0 0 0 Total 0 l 3 0 21 0 25 15" Satis.,no hook 0 0 4 0 15 l 20 " ,with hook 0 0 0 0 l O l Unsat.,no hook 0 0 0 0 4 O 4 " ,with hook O 0 0 0 0 0 0 Total 0 0 4 0 20 l 25 21" Satis.,no hook O 0 6 0 l6 0 22 " ,with hook 0 0 0 0 2 0 2 Unsat.,no hook 0 0 0 0 l 0 l " ,with hook 0 O 0 0 0 0 0 Total 0 0 6 0 l9 0 25 27" Satis.,no hook 0 0 3 l 7 l 12 " ,with hook 0 0 5 O 7 l 13 Unsat.,no hook 0 0 0 0 0 0 0 " ,with hook 0 O 0 0 0 0 0 Total 0 0 8 l 14 2 25 30" Satis.,no hook O 0 4 0 l 0 5 " ,with hook 0 0 8 1 ll 0 2O Unsat.,no hook 0 O 0 0 0 0 0 " ,with hook 0 0 0 0 0 0 0 Total 0 0 l2 1 l2 0 25 -103- Table 13 BETTER TIMES Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups with and without bullheads (gontinued Tight/ Fairly Fair/5* Open/ JANUARY Tight Bull tight Bull Qpen Bull Total 12" Satis.,no hook 0 0 3 0 l4 0 l7 " ,with hook 0 0 0 0 0 0 0 Unsat.,no hook 0 0 l 0 7 0 8 " ,with hook 0 0 0 0 0 0 0 Total 0 0 4 0 2l 0 25 15" Satis.,no hook 0 0 l 0 14 l 16 " ,with hook 0 0 0 0 0 0 0 Unsat.,no hook O 0 l 0 8 0 9 " ,with hook 0 0 0 O O O 0 Total 0 0 2 0 22 l 25 21" Satis.,no hook 2 0 9 l 10 l 23 " ,with hook 0 0 0 0 0 0 0 Unsat.,no hook 0 0 l 0 l 0 2 " ,with hook 0 0 0 0 O 0 0 Total 2 0 10 1 ll 1 25 27" Satis.,no hook O 0 4 0 9 0 l3 " ,with hook 0 0 l 0 8 0 9 'Unsat.,no hook 0 0 l 0 l 0 2 " ,with hook 0 O 0 0 l 0 l Total 0 0 6 0 l9 0 25 30" Satis.,no hook 0 0 2 0 4 0 6 " ,with hook 1 0 5 0 10 0 l6 lJnsat.,no hook 0 0 0 O 0 0 0 " ,with hook 0 0 l O 2 0 3 Total 1 0 8 0 l6 0 25 ~104- Table 13 ' BETTER TIMES Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity grou s, with and without bullheads (continued? Tight/Fairly Fair/' Open/ FEBRUARY Tight Bull tiggt Bull Open Bull Total 12" Satis.,no hook 0 0 8 1 l6 0 25 " ,with hook 0 0 0 0 0 0 0 Unsat.,no hook 0 0 0 0 0 0 O " ,with book 0 0 0 0 0 0 0 Total 0 0 8 l 16 0 25 15" ' Satis.,no hook I O 10 0 l4 0 25 " ,with hook 0 O 0 0 0 0 O Unsat.,no hook 0 0 0 0 0 0 O " ,with hook O 0 0 0 0 0 0 Total 1 0 10 0 l4 0 25 21" - Satis.,no hook 3 l 12 3 4 0 23 " ,with hook O 0 0 l l 0 2 Unsat.,no hook 0 O 0 O O 0 0 " ,with hook O 0 O 0 0 0 0 Total 3 l 12 4 5 0 25 27" (2 bunches) Satis.,no hook " ,with hook I]nsat.,no hook " ,with hook Total U1 OO OU‘I O OO 00 O U! 00 CW O w 00 Ow O -lO5- Table 13 ' BETTER TIMES Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity grou s, with and without bullheads (continued Tight/ Fairly Fair/ Cpen/ MARCH nght Bull tight Bull Qpen Bull Total 911 Satis.,no hook 0 0 ll 0 8 0 l9 " ,with hook 0 0 0 0 0 O 0 Unsat.,no hook 0 0 4 0 2 0 6 " ,with hook 0 0 O 0 0 0 0 Total 0 0 l5 0 10 0 25 15" Satis.,no hook 0 0 9 0 9 0 l8 " ,with hook 0 0 0 0 0 0 0 Unsat.,no hook 0 0 3 0 4 0 7 " ,with hook 0 0 0 0 0 0 0 Total 0 0 l2 0 l3 0 25 21" Satis.,no hook 0 0 8 0 l4 0 22 " ,with hook 0 O O 0 0 0 0 Unsat.,no hook 0 0 2 O l 0 3 " ,with hook O 0 0 0 0 0 0 Total 0 0 10 0 15 0 25 *- 24H Satis.,no hook 3 0 18 l 20 0 42 " ,with hook 0 O 4 0 4 0 8 Unsat.,no hook 0 0 0 O 0 O 0 " ,with hook 0 O 0 0 0 O 0 Total 3 0 22 l 24 0 5O *2 bunches ~106- Table 13 ‘ BETTER TIMES Monthly data snowing the distribution of hooks and unsatisfactory stems in 3 maturity groups with and without buliheadsgLCQntinued) Tight/ Bairly Fair/5 Cpen/v APRIL ____._ VTightp_Bpllv_tight 7 Bull_0pen Bull-jpjgl 9" ‘ Satisfact.,no hook 0 0 9 2 6 l 18 " ,with hook 0 0 0 0 0 0 0 Unsatis., no hook I 0 A 0 2 0 7 “ , with hook 0 0 0 0 0 0 0 Total 3 C 13 2 8 l 25 15" Satisfact.,no book 3 0 ll 0 ll 0 25 " ,with hook C O 0 0 O 0 O Unsatis., no hook 0 0 O 0 0 0 O “ , with hook 0 0 0 0 0 0 0 Total 3 0 ll 0 ll 0 25 2111* Satisfaot.,no book 6 0 20 0 18 l 45 " ,with hook l 0 l 0 0 0 2 Unsatis., no hook 0 0 l 0 l O 2 " ,with hook O 0 3 0 O 0 l * Total 7 0 23 0 19 l 50 2 bunches _ 24H Satisfact.,no hook I 0 9 0 8 1 l9 " ,with hook 0 0 2 0 2 O 4 Unsatis.,no hook O 0 0 0 0 0 0 " with hook 0 O l 0 l 0 2 Total 1 0 l2 0 ll 1 25 -lO7- Table 13 'BETTER TIMES Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and withoutgbullheads (continued)g TIght7rFairly Fair7' 0pen/—' MAY Tight Bull tight Bull_gpen Bull Total 9" Satis., no hooks O 0 5 0 l6 0 21 " , with hooks 0 O 0 0 0 0 0 Unsat., no hooks l 0 1 0 2 0 4 " , with hooks 0 0 O O 0 0 0 Total 1 0 6 0 l8 0 25 15" Satis., no hooks 4 0 l2 0 5 0 21 " , with hooks 0 0 0 0 0 0 0 Unsat., no hooks 2 0 1 0 l 0 4 " , with hooks 0 O 0 0 0 0 0 Total 6 0 13 0 6 0 25 21" Satis., no hooks 5 0 ll 0 4 l 21 " , with hooks 0 0 l C 0 0 l Unsat., no hooks 0 0 2 0 0 0 2 Unsat., with hooks 0 O l 0 0 0 1 Total 5 0 15 0 4 l 25 27" Satis., no hooks 3 0 . 12 0 4 O 19 " , with hooks 2 0 l 0 2 O 5 Unsat., no hooks O 0 0 0 0 0 0 " , with hooks 0 0 0 0 1 0 1 Total 5 0 13 0 7 0 25 30" Satis., no hooks 3 C) 9 2 2 0 16 " , with hooks 3 0 5 0 l 0 9 I?nsat., no hooks 0 0 0 0 0 0 O " , with hooks 0 0 0 0 0 0 0 Total 6 0 14 2 3 0 25 -108- Table 13 3 BETTER TIMES Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with_and without bullheads (continued) Tight/IFairly Fair/' Cpen/ JUNE 7' Tight Bull tight Bull Open Bull Total 9" Satis., no hooks 5 0 7 0 10 0 22 " , with hooks 0 0 0 0 0 0 0 Unsat., no hooks l O 0 0 2 O 3 " , with hooks 0 0 0 0 0 0 0 Total 6 0 7 0 l2 0 25 15" Satis., no hooks 6 3 3 0 ll 0 23 " , with hooks 0 0 0 0 0 0 0 Unsat., no hooks 0 0 1 C l 0 2 " , with hooks 0 0 0 0 0 0 0 Total 6 3 4 0 l2 0 25 18" Satis., no hooks 4 2 7 2 9 0 24 " , with hooks 0 0 0 0 0 0 0 Unsat., no hooks O 0 1 C C 0 l " , with hooks 0 0 0 0 0 0 0 Total 4 2 8 2 9 O 25 2111* Satis., no hooks 5 4 9 6 22 3 49 " , with hooks 0 0 l 0 0 0 l Unsat., no hooks 0 0 0 O O 0 0 " , with hooks 0 0 0 0 0 0 0 *(2 bunches) Total 5 4 10 6 22 3 50 135594303}. :3. _. ;. l. . -109- Table 14 YULETIDE Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads Tight/5Fairly Fairly/ Open/7 NOVEMBER Tight Bull tight Bull Open Bull Total 9" Satis., no hooks 2 O 3 0 ll 0 l6 " , with hooks O O O O O O O Unsat., no hooks l O O O 8 O 9 " , with hooks O O O O O O 0 Total 3 O 3 0 19 O 25 15" Satis., no hooks 5 O 8 O 10 O 23 " , with hooks O O O O O O O Unsat., no hooks O O O O l O l " , with hooks O O O O l O 1 Total 5 O 8 O 12 O 25 21" Satis., no hooks 6 O 5 O 5 0 l6 " , with hooks 2 O O O 2 O 4 Unsat., no hooks O O l O 3 O 4 " , with hooks O O O O l O 1 Total 8 O 6 0 ll 0 25 27" Satis., no hooks 2 O l O 3 O 6 " , with hooks 3 O 6 O 4 O 13 Unsat., no hooks O O l O 3 O 4 " , with hooks O O l O l O 2 Total 5 O 9 0 ll 0 25 33" Satis., no hooks O O. l O 4 O 5 " , with hooks 2 0 7 O 8 O 17 Unsat., no hooks O O O O O O O " , with hooks l O O O l O 2 Total 3 O 8 O 13 O 24 -llO- Table 14 YULETIDE Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads (continued) _¥ Tight/Fairly‘Fairly/fi' Cpen/ DECEMBER ‘_Tight Bull tight Bull Open Bull Total 9" Satis., no hooks 2 l 3 1 ll 2 2O " , with hooks O O O O O O O Unsat., no hooks l O O O 4 O 5 " , with hooks O O O O O O 0 Total 3 l 3 1 l5 2 25 15" Satis., no hooks 2 . O 4 2 8 7 23 " , with hooks O O l O O O l Unsat., no hooks O O l O O O l " , with hooks O O O O O O 0 Total 2 O 6 2 8 7 25 21" Satis., no hooks 3 4 5 6 3 4 25 " , with hooks O O O O O O O Unsat., no hooks O O O O O O O " , with hooks O O O O O O 0 Total 3 4 5 6 3 4 25 27" Satis., no hooks 4 3 7 3 2 l 20 " , with hooks O O 2 O 2 O 4 IInsat., no hooks O O O O O O O " , with hooks O O l O O O 1 Total 4 3 10 3 4 l 25 3O" Satis., no hooks 7 3 O 7 2 O 19 " , with hooks l l O 3 l O 6 [Unsat., no hooks O O O O O O O " , with hooks O O O O O O 0 Total 8 4 O 10 3 O 25 —lll- Table 14 YULETIDE Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads Lcontinuedl Tight/’Fairly‘Fairly/— Open/ QAyUARY Tight Bull tight Bull Open Bull Total 9" Satis., no hooks O O l 2 ll 0 l4 " , with hooks O O O O O O O Unsat., no hooks O O 2 l 8 0 ll " , with hooks O O O O O O 0 Total 0 O 3 3 19 O 25 15" Satis., no hooks O l O 3 l3 3 2O " ,with hooks O O O O O O O Unsat., no hooks O O O O 5 O 5 " , with hooks O O O O O O 0 Total 0 l O 3 18 3 25 21" Satis., no hooks 2 l 7 l 12 O 23 " , with hooks O O O O O O O Unsat., no hooks O O O O l l 2 " , with hooks O O O O O O 0 Total 2 l 7 l 13 l 25 2'?" Satis., no hooks O O 2 0 l7 1 20 " , with hooks O O l O 2 O 3 Unsat., no hooks O O O O O l l " , with hooks O O O O l O 1 Total 0 o 3‘ o 20 2 25 30" Satis., no hooks O O 3 l 12 l 17 " , with hooks O O 2 O 4 l 7 Unsat., no hooks O O O O l O l " , with hooks O O O O O O 0 Total 0 O 5 1 l7 2 25 -ll2- Table 14 ' YULETIDE Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads (continued) '7 Tight/ Fairly Fairly/7 Open/' FEBRUARY Tight Bull tight Bull Open Bull Total 9" Satis., no hooks l l 2 3 ll 0 l8 " , with hooks O O O O O O O Unsat., no hooks O O l l 4 O 6 " , with hooks O O O O O O 0 Total 1 l 3 4 l5 0 24 15" Satis., no hooks l 3 4 6 7 2 23 " , with hooks O O O O O O O Unsat., no hooks O O O l l O 2 " , with hooks O O O O O O 0 Total 1 3 4 7 8 2 25 21" Satis., no hooks O 3 3 5 7 4 22 " , with hooks O O O O O O O Unsat., no hooks O O O O 3 O 3 " , with hooks O O O O O O 0 Total 0 3 3 5 10 4 25 27" Satis., no hooks O 2 4 6 8 3 23 " , with hooks O O O O O O O Unsat., no hooks l O O O l O 2 " , with hooks O O O O O O 0 Total 1 2 4 6 9 3 25 30" Satis., no hooks 4 l 7 5 5 l 23 " , with hooks 2 O O O O O 2 Unsat., no hooks O O O O O O O " , with hooks O 0 O O O O 0 Total 6 l 7 5 5 l 25 Table 14 -ll3- YULETIDE Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads (pontinued) Tight/Fairly Fairly7' FOpen/ MARCH Tight Bull .tight Bull Open Bull Total 9" Satis., no hooks l O 6 2 l2 0 21 " , with hooks O O O O O O O Unsat., no hooks O O O O 4 O 4 " , with hooks O O O O O 0 0 Total 1 O 6 2 l6 0 25 15" Satis., no hooks 2 3 7 2 10 O 24 " , with hooks O O O O O O O Unsat., no hooks O O O O l O l " , with hooks O O O O O O 0 Total 2 3 7 2 ll 0 25 21" Satis., no hooks 2 l 13 l 8 O 25 " , with hooks O O O O O O O Unsat., no hooks O ' O O O O O O " , with hooks O O O O O O 0 Total 2 l 13 l 8 O 25 24" Satis., no hooks O 2 7 3 12 l 25 " , with hooks O O O O O O O Unsat., no hooks O O O O O O O " , with hooks O O O O O O 0 Total 0 2 7 3 12 l 25 27" Satis., no hooks O l 9 6 9 O 25 " , with hooks O O O O O O O ‘Unsat., no hooks O O O O O O O " , with hooks O O O O O O 0 Total 0 l 9 6 9 O 25 -114- Table 14 ' YULETIDE Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads(continueg) Tight7Fair1y Fairly7 Cpen7' APRIL Tight Bull tight ‘_Rull Open Bull Total 9" Satis., no hooks O O 5 O 12 O 17 " , with hooks O O O O O O O Unsat., no hooks O O O O 8 O 8 " , with hooks O O O O O O 0 Total 0 O 5 0 2O 0 25 15" — Satis., no hooks 2 0 ll 0 8 O 21 " with hooks O O O O O O O Unsat., no hooks 2 O l O l O 4 " , with hooks O O O O O O 0 Total 4 O 12 O 9 O 25 21" Satis., no hooks 4 0 ll 0 8 O 23 " , with hooks O O O O O O O Unsat., no hooks O O l O l O 2 " , with hooks O O O O O O 0 Total 4 O 12 O 9 O 25 24" Satis., no hooks 4 O 11 O 10 O 25 " , with hooks O O O O O O O ‘Unsat., no hooks O O O O O O O " , with hooks O O O O O O 0 Total 4 0 ll O 10 O 25 27" Satis., no hooks 6 O 9 O 6 O 21 " , with hooks 2 O 2 O O O 4 [Insat., no hooks O O O O O O O " , with hooks O O O O O O 0 Total 8 O 11 O 6 O 25 -ll5- Table 14 YULETIDE Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads (continued) Tight/7Fairly Fairly/ Open/5 MAY Tight Bull tight Bull Open Bull Total 9" Satis., no hooks l O 3 0 l3 0 l7 " , with hooks O O O O O O O Unsat., no hooks 1 O 2 O 5 O 8 " , with hooks O O O O O O 0 Total 2 O 5 O 18 O 25 15" Satis., no hooks 2 O 8 O 11 O 21 " , with hooks O O O O O O O Unsat., no hooks O O 2 O 2 O 4 ” , with hooks O O O O O O 0 Total 2 O 10 O 13 O 25 21" Satis., no hooks 3 l 8 O 9 O 21 " , with hooks O O O O O O O Unsat., no hooks 1 O l O 2 O 4 " , with hooks O O O O O O 0 Total 4 l 9 0 ll 0 25 27" Satis., no hooks 3 O 7 O 9 1 2O " , with hooks 2 l O O 2 O 5 Unsat., no hooks O O O O O O O " , with hooks O O O O O O 0 Total 5 l 7 O 11 l 25 30" Satis., no hooks 2 O 2 O 6 O 10 " , with hooks O 2 7 3 2 O 14 Unsat., no hooks O O O O 1 O 1 " , with hooks O O O O O O 0 Total 2 2 9 3 9 O 25 -ll6- Table 14 YULETIDE Monthly data showing the distribution of hooks and unsatisfactory stems in 3 maturity groups, with and without bullheads (continued) Tight7 Fairly Fairly7w VOpen/—i JUNE Tight Bull tight Bull Open Bull Tgtal 9" Satis., no hooks O O 3 O 20 O 23 " , with hooks O O O O O O O Unsat., no hooks O O O O 2 O 2 " , with hooks O O O O O O 0 Total 0 O 3 O 22 O 25 12" (2 bunches) Satis., no hooks 8 O 16 O 25 O 49 " , with hooks O O O O O O O Unsat., no hooks O O O O l O l " , with hooks O O O O O O 0 Total 8 O 16 O 26 O 50 15" Satis., no hooks 9 0 ll 0 5 O 25 " , with hooks O O O O O O O Unsat., no hooks O O O O O O O " , with hooks O O O O O O 0 Total 9 O 11 O 5 O 25 18" Satis., no hooks 1 O 3 1 2O 0 25 " , with hooks O O O O O O O Unsat., no hooks O ,O O O O O O " , with hooks O 0 O 0 O O 0 Total 1 O 3 1 2O 0 25 [,I'IIII,‘ -ll7- TABLE 15 BETTER TIMES SUMMARY OF 8 MONTHS DATA (NOV-JUNE) SHOWING THE DISTRIBUTION OF HOOKS AND UNSATISFACTORY STEMS IN THE DIFFERENT STEM LENGTH GROUPS HOOK NO H00K5 TOTAL No. A% No. No. Satisfactory 0 0.00 124 82.67 124 82.67 Unsatisfactory 0 0.00 26 17.33 26 17.33 Total 0 0.00 150 100.00 150 100.00 12" Satisfactory O 0.00 41 82.00 41 82.00 Unsatisfactory 0 0.00 9 18.00 9 18.00 Total 0 0.00 50 100.00 50 100.00 15" Satisfactory l 0.50 172 86.00 173 86.50 Unsatisfactory 0 0.00 27 13.50 27 13.50 Total 1 0.50 199 99.50 200 100.00 18" Satisfactory 2 8.00 22 88.00 24 96.00 Unsatisfactory 0 0.00 1 4.00 1 4.00 Total 2 8.00 23 92.00 25 100.00 21" Satisfactory 8 3.56 205 91.10 213 94.66 Unsatisfactory 2 0.89 10 4.45 12 5.34 Total 10 4.45 215 95.55 225 100.00 24" Satisfactory 20 20.00 77 77.00 97 97.00 Unsatisfactory 3 3.00 0 0.00 3 3.00 Total 23 23.00 77 77.00 100 100.00 27" Satisfactory 48 32.00 98 65.34 146 97.34 Unsatisfactory 2 1.33 2 1.33 4 2.66 Total 50 33.33 100 66.67 150 100.00 30" Satisfactory 63 63.00 34 34.00 97 97.00 ‘Unsatisfactory 3 3.00 0 0.00 3 3.00 Total 66 66.00 34 34.00 100 100.00 TOTAL: All Stem Lengths Groups for 8 months Satisfactory 144 14.4 771 77.1 915 91. IJnsatisfactory 10 1.0 75 7.5 85 8.5 Total 154 15.4 846 84.6 1000 100.0 —1l8— TABLE 16 YULETIDE SUMMARY OF 8 MONTHS DATA (NOV-JUNE) SHOWING THE DISTRIBUTION OF HOOKS AND UNSATISFACTORY STEMS IN THE DIFFERENT STEM LENGTH GROUPS HOOKI N0 HOOK TOTAL N0. 5% N0. ppm No. 1 Satisfactory O 0.00 146 73.37 146 73.37 Unsatisfactory 0 0.00 53 26.63 53 26.63 Total 0 0.00 199 100.00 199 100.00 12" Satisfactory 0 0.00 49 98.00 49 98.00 Unsatisfactory 0 0.00 1 2.00 l 2.00 Total 0 0.00 50 100.00 50 100.00 15" Satisfactory 4 2.00 176 88.00 180 90.00 Unsatisfactory l 0.50 19 9.50 20 10.00 Total 5 2.50 195 97.50 200 100.00 18" Satisfactory 0 0.00 25 100.00 25 100.00 Unsatisfactory 0 0.00 O 0.00 0 0.00 Total 0 0.00 25 100.00 25 100.00 21" Satisfactory 4 2.29 157 89.71 161 92.00 Unsatisfactory l 0.57 13 7.43 14 8.00 Total 5 2.86 170 97.14 175 100.00 24" Satisfactory 0 0.00 49 98.00 49 98.00 Unsatisfactory 0 0.00 1 2.00 1 2.00 Total 0 0.00 50 100.00 50 100.00 27" Satisfactory 29 16.57 135 77.14 164 93.71 ‘Unsatisfactory 4 2.29 7 4.00 11 6.29 Total 33 18.86 142 81.14 175 100.00 continued TABLE 16 (cont.) SUMMARY OF 8 MONTHS DATA (NOV-JUNE) SHOWING THE DISTRIBUTION OF HOOKS AND UNSATISFACTORY STEMS IN THE DIFFERENT STEM LENGTH GROUPS -ll9- YULETIDE HO0K_ N0 HOOK TOTAL _*, No. N0. N0. % 30" Satisfactory 29 29.00 69 69.00 98 98.00 Unsatisfactory 0 0.00 2 2.00 2 2.00 Total 29 29.00 71 71.00 100 100.00 33" _ Satisfactory 17 70.83 5 20.83 22 91.66 Unsatisfactory 2 8.34 0 0.00 2 8.34 Total 19 79.17 5 20.83 24 100.00 GRAND TOTAL 7* ‘_— (A11 Stem Length Groups. 8 Months) SATISFACTORY 83 8.32 811 81.26 894 89.58 UNSATISFACTORY 8 0.80 96 9.62 104 10.42 GRAND TOTAL 91 9.12 907 91.88 998 100.00 l 1 JJWDP-mnlfl1qulrf ii“ I Ili|il | | -120- TABLE 17 ' BETTER TIMES SUMMARY OF 8 MONTHS DATA (NOV-JUNE) SHOWING THE DISTRIBUTION OF HOOKS AND UNSATISFACTORY STEMS IN EACH MONTH —' HOOK NOIHOOK’ TOTAL No. % No. % No. NOVEMBER Satisfactory 45 36.00 74 59.2 119 Unsatisfactory 1 0.80 5 4.0 6 Total 46 36.8 79 63.2 125 1 DECEMBER Satisfactory 36 28.80 82 65.6 118 Unsatisfactory 0 0.00 7 5.6 7 Total 36 28.80 89 71.2 125 10 JANUARY Satisfactory 25 20.00 75 60.0 100 Unsatisfactory 4 3.2 21 16.8 25 . Total 29 23.2 96 76.8 125 100 0 FEBRUARY Satisfactory 4 3.2 121 96.8 125 100.0 Unsatisfactory 0 0.0 0 0.0 0 Total 4 3.2 121 96.8 125 100.0 MARCH Satisfactory 8 6.4 101 80.8 109 Unsatisfactory 0 0.0 16 12.8 16 Total 8 6.4 117 93.6 125 100.0 APRIL Satisfactory 6 4.8 107 85.6 113 'Unsatisfactory 3 2.4 9 7.2 12 Total 9 7.2 116 92.8 125 100.0 MAY Satisfactory 15 12.0 98 78.4 113 Unsatisfactory 2 1.6 10 8.0 12 Total 17 13.6 108 86.4 125 100.0 JUNE Satisfactory 1 0.8 118 94.4 119 IJnsatisfactory 0 0.0 6 4.8 6 Total 1 0.8 124 99.2 125 10 11:55“; .1 y! Sufi . _ , . .. A.” —121- TABLE 18 YULETIDE SUMMARY OF 8 MONTHS DATA (NOV-JUNE) SHOWING THE DISTRIBUTION OF HOOKS AND UNSATISFACTORY STEMS IN EACH MONTH HOOK ONO HOOK, TOTAI ’- NO. % NO. W j N00 % NOVEMBER Satisfactory 34 27.42 66 53.22 100 80.64 Unsatisfactory 6 4.84 18 14.52 24 19.36 Total 40 32.26 84 67.74 124 100.00 DECEMBER Satisfactory 11 8.80 107 85.6 118 94.4 Unsatisfactory 1 0.80 6 4.8 7 5.6 Total 12 9.60 113 90.4 125 100.0 JANUARY Satisfactory 10 8.00 95 76.0 105 84.0 Unsatisfactory 1 0.80 19 15.2 20 16.0 Total 11 8.80 114 91.2 125 100.0 FEBRUARY Satisfactory 2 1.61 109 87.91 111 89.52 Unsatisfactory O 0.00 13 10.48 13 10.48 Total 2 1.61 122 98.39 124 100.00 MARCH Satisfactory 0 0.00 120 96.0 120 96.00 Unsatisfactory O 0.00 5 4.0 5 4.00 Total 0 0.00 125 100.0 125 100.00 APRIL Satisfactory 4 3.20 107 85.6 111 88.8 ‘Unsatisfactory O 0.00 14 11.2 14 11.2 Total 4 3.20 121 96.8 125 100.0 MAY Satisfactory 19 5.2 89 71.2 108 86.4 'Unsatisfactory 0 0.0 17 13.6 17 13.6 Total 19 5.2 106 84.8 125 100.0 JUNE Satisfactory 0 0.00 122 97.6 122 97.6 Unsatisfactory O 0.00 3 2.4 3 2.4 Total 0 0.00 125 100.0 125 100.0 Jinan—.8 Janufllqarflium ,. ImNHI mNH o H» H mm 0 3H Hmpoe o o o o o o o mxooa spH; . = m o m o o o o mxoo: o: ..pommmemmsD o o o o o o o mace: ang . = mmH o o> H mm 0 na mxoon on .mpopoMMmesm mass mmH H mm m 04 a mH Hopes o o o o o 0 Ho mace: spa; . = AH o OH 0 m o m mace: 0: ..pommmemmc: 0H 0 a m A m m mace: ng; . = mm H as 0 mm H HH mace: 0: .Huopommmeam - ~42 mmH 0 am 0 Hm o om Hmpoa o o o o o o o mace: an; . = sH 0 OH 0 m o m mxoon 0: ..poommemmup 4 o o o m o m mace: ans . . = POH o as 0 vs 0 ma mxoon o: .AHOpomHmewm Ir HHmmM mmH H mm sH ms a m Hopes o o o o o o o mace: spH; . z m o m o o o o mxoon 0: ..pomMmemmcp o o o o o o o msooz :pH; . = omH H Hm 4H Na A m mHoon on .suopomeHpom 7 :17 ‘7 11711 .11 momoz mQHBMQDM pHudpse m cH msopm hpopommmapwmsd cam ON mdnma lmNHI mm o m m w m H Hopes o o o o o o o mxoos 39H; . H o o o H o o mxoon o: .hhopommmewmcD m o m o o o o mace: HHH; . mm o N m N N H mxoo: o: .hpopommmewm :mH oom m QOH N mm m 0H Hopoa o o o o o o o mxoo: 59H; . wm o nH o m o m mxoon on .huopoommemmcb H o H o o o o msoon gHH: . me m on N mm m mH mxoos o: .hpopomHmeom 1 ‘FmH 0m 0 NM H NH 0 o Hopoa o o o o o o o mxoon HHH; . m o n o H o o mxoon on .hHOHOHMmHHMmcb o o o o o o o mxoon SHH; . HH 0 mm H- HH 0 o mxoon on .aHOPomeHHMm =mm .OmH H on m mm m m Hmpoe o o o o o o o mxoo: 29H; . mm o NH 0 HH 0 m mHoon 0: .HcoposHmeamcs o o o o o o o mxoog HHH; . «NH H mm m HQ m m mxoon o: .hmopomMmemmm proe HHsm ammo HHsm HAMHp HHsm pana {mmmmo HthHHmm HHHHmm prgmHH mmiopm‘npmme sopm pampmmmHo ozp sH masozHHSQ pdoan; can an3 mommMHo thHdpma m nH mampm muopommepmmCS was mxooz mo COHpannpch on» mcHgogm mpmu mcdhlpm28o>oz mmEHa mmeemm Hm mHmHB HNH OH NH HN HN OH m Hmpoe o o o o o o o mHoon HHH; . z HH 0 m N H o H mHoog 0: ..HomHmHHmmcs N o o o o o N mxoog HHH; . = moH OH Hm mN ON 0H m mxoon on .HHOHomNmHHmm .p 1: - 1 \mesmmmm mNH N NE a NH N N Hmpoe H o H o o o o msoog :HH; . = mH N HH 0 N o o mxoon on ..HomHmHHmmcc OH H H o H o o msoon HHH; . = mm m mm a HH N N mxooz on .HHopomHmHHmm '1- u, 1 77wm4bzmh mNH HH Hm NN HN NH 0N Hmpoe H o o o H o o mHoon HHHa . = o o H o H o H msoog on ..HommmHHmmq: HH 0 H H H H H mxoon HHH; . = NOH HH mN mH mH HH DH mxoon on .mpopomNmHHmm r; v-1:attt-:v..c.. 1¢711 7 1 ‘1 l1 7:: swmsmomm «NH 0 mm 0 HH 0 HN Hapoe a o H o H o H mxoon HHH; . = HH 0 HH 0 N o H mHooH on ..HomHmHHmmsn HH 0 HH o HH 0 H msoon HHH; . = mm 0 mm o NH o mH mxoon 0: .HpopoHHmHHmm I5: 111‘ :Eiw11 11 1i1 HHEESZ ape HHsm cums HHsm HHNHH HHsm HHHHH :1 u\:mmo kamHHHmh, mHnHma .anme msNNCHHzo pdoapHa was CPH; momdeo HpHpfipmS m CH mampm zpopomHmemmc: was mxooz mo COHpanHpme on» mconnm spas madmlpmosm>oz mQHHMQDM om mnmde IONHI mxoo: mo COHHSQHHHmHO map mcHzosm Quad mcswlpmpEm>oz mmEHa mmaamm OOH N mm O HO O O HOHOH H O N O H O O mHoon HHH; . = o o o o o o o mxoon o: ..pOOMmHummcD HO N HN O ON H O mxoon OHH; . = HO O O N OH H H mHOOs on .HHOHOmHmHHOOH Lflw =0 OOH O OO NH .HO o NH Hmpoy m o m o o o o mxoon SHH; . = w o H o H o o mxoo: on ..pommOHPOOCD OH N HN H OH O H mHoon OHH; . = HO O Hm m OH 0 n mxoon o: .OHOHOOMmemm 7 ‘Etw OOH m CH O OH H v Hdpoe m o m o H o o mxoon 39H; . = o o o o o o 0 me02 on ..pomMmHPMmcD ON H O O O H O mHoon OHH; . = NH O ON O HO O H mxooz 0: .HHOHOHHOHHOO «7 1 Ohm mmm O mm HH mm m mm proe N O O O N O O msoon OHH; . = OH o O o O o o mxoon o: ..aommmemmcD O O H H H O H mHOO: :HH; . = OON O OO OH OH O HN mHooO o: .HHOHoOHmHHOm =Hm Hmpoe HHsm comm. HHsm HSMHH HHsm HQMHH [\OOOO NHHHHWO HHHHHO HHHOHH HOodCHHcddq mmHOHM1mpmde Empm HQOHOMMHO on» cH It mammnHHsp HSOQHH; Ocm 39H; mommmHo HpHnspme m CH mampm OHOHOOMmemmss Osm Hm prwa ImNHl ON O ON H O O H HOHOH O O O O O O O mHoon OHH; . = o o o o o o o mxoo: o: ..pomMmemmcb O O O O O O O mxoon OOH; . = mm 0 ON H m o H mxoon o: .hho»oOMmemm xwwmw OON NH OO OH NO N ON HOHOH H O H O O O O mace: HHH; . : OH O OH H H O N mHoon on ..HomHmHHOmcs H O H O H O O mHoos HHH; . = OOH NH OO OH HO O HN mHoo: on .HHOHomHmHHOO F 1 E OO O ON O OH O O HOHOH O O O O O O O mHOO: :HH; . = H O H O O O O Oxoon Oc:..HomHmHHOm:O O O O O O O O mHoon HHH; . = OH 0 ON 0 mH o w mxoon o: .hhowommmemm wwtww OOH N OOH OH HO N OH HOHOH .O O O O O O O mHoos OHH; . = HO o HO N O o m mxooz Os ..HomeHpmmso O O O O O O O OHOOO OOH; . = OOH N HOH w ON N O mxoon oc .OHOHommmemm =O HOHOH HHsm ammo HHsm HHOHH HHsm HOOHH \cmgO \HHHHOO HHNHOO \HHOHH .mmwo m EPMGOH Seam pcouomuHO on» GH admonHHsn psoan; Odd 39H; mommmHo thHdpwa m sH mampm hHouowmmemmn: can mxoon no :OHHHQHHHOHO on» msHsosm mpmd madmlnopao>oz maHHMHDM NN mnm¢a ImNHI OOH O OO O HO O OH HOOOO O O O O O O O mOoon OOH; . = m o m o o o o mxooz o: ..pommePOOCD ON H O O NH O O mxooO OOH; . z OO N ON O OH O OH mOoon 0: .OOOOOOOOHPOO =OO OOH O OO OH OO O ON HOOOO O O N O N O O Oxoos OOH; . = O H O o H o H mxoon oc ..poOMmeOmcD ON O OH O HH H O mmoon OOH; . = mMH o Om mH mm o mH OM00: o: .hhopoOMmemm II :N OO H NN O OH N O HOOOO O O O O O O O mmoon OOH; . = H O H O O O O mxooz 0: ..poOOmeOOOO O O O O O O O mxoon OOH; . = OO H HN O - OH N O mxoon on .OOOOOOOOHOOO OON OOH O OO OH OO OH ON Hmpoa H O H O O O O Oxoon OOH; . = OH H OH o O o H mxoon on ..pommmemmcm O O N O O O N mxoo: OOH; . = OOH O NO OH NO OH ON mxoog on .OOOOOOOOHPOO kHW Hmpoe HHsm HHsm OOOHO HHOO OOOHO \OOOO OOOO‘IxOHpHOO OHOHOO \OOOHO Admschcoou mmfiopm SRMde Empm unmpmmmHO mm» :H OOOOQHHSQ pdoan; dam anz mmmmmHo Othspma m :H mampm hpopomMmemmcd Ocm mxoo: mo COdeanpde m2» mquosm Opmv mcdwihm98m>oz mQHemqu mm meme IOMHI ON O OH O O O O Hmpoe N O H O O O H mxoon OOH; . = O O O O O O O mxoog 0: ..poOOmHPOOOO OH O O O O O N mxoon OOH; . = O O O O H O O mOooO on .OOOOOOOOHOOO ..MM Hmpoe HHOO ammo HHOO OOOHO HHOO OOOHO Ixammo .OOHOHOO OHOHOO \OOOHO 1HOm5cHPCOOQ mmdopm npchleOpm‘McmmOMMHO ms» uH OOOOSHHOQ pdosza Oca mpH; mmmmmHo mpHnSpma m :H mampm OHOpommepmmcs dam Oxooc mo :OHPSQHupmHO ms» mcHzonm OPOO mcsmlpmnSm>oz MQHHMHDN mm mHDwB 10. ll. 12. l3. 14. 15. 16. -l3l- LITERATURE CITED AND BIBLIOGRAPHY BakerLMerritt W. 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Annual report; committee on grades and standards covering the period July 1, 1957-June 30, 1958- Sheraton-Park Hotel, Washington, D. 0., June 30, 1958. SAF. Report on survey on labeling and grading of floral crops. Sheraton-Park Hotel, Washington, D.C. SAF. Report of the grades and standards committee meeting; Sheraton-Park Hotel, Washington, D. C- March 19, 1963. Minutes. 4311,51} .. i .— 85. 86. 87. 88. 89. 90. 91. 92. 93. 94. ~137- SAF. All Industry Floricultural Congress, held at Palmer House, Chicago, Oct. 22, 23, 24, 1963. SAF. Report of the meeting of the committee on grades and standards. Sheraton Park Hotel, Washington, SAF. July 27, 1964. Report of breakfast conference discussion of Grades and Standards. Sheraton- Park Hotel, Washington, D. C. and "Trial Grade Standards for Standard Chyrsanthe- mums." - a press release. Society of American Florists Publications:- Standard Grades for Carnations (approved June 2, 1953) IP- Standard Grades for Flowers. 1953 2p. Standard Grades for Sanpdragons (approved June 2, 1953) 1p. . Standard Grades for Iris (approved July 26, 1954) 1p. Standard Grades for Stocks (approved July 26, 1954) 1p. Report of the Committee on Grades and Standards. 1956 4p. ShepherdLgG. S. Changes in Structure. U.S.D.A. Year— book, "Marketing" 1954. p.52-59. Southworthj Herman M. Discussion on "The function of grades...." Journal Farm Economics 43 1383 — Dec. 1961. . Historical evolution of impor- tant marketing problems. Journal Farm Economics .12 1243-53 Dec. 1963. Spokane Flower Growers' Association. 1956. SAF Stan— dard Grades on the Spokane Market. Spokane. 1p. Stevenson, JordanL and Harrison. (Management Engineers) wI939. Report of;fiationa1 survey of the florists‘ industry for the SAF and Ornamental Horticulturists. New York. 24p. Thompson, G. 1949. Wholesale Prices. New York State Flower Growers' Bul. 48 9-10. 95. Thomsen Frederick Lund . Agricultural Marketing. McGraw—Hill Book Co., Inc. 1951. 960 970 98. 99. -138- Trotter, W. K.' 1955. Problems in Marketing Florists' Crops. Cornell Univ. xgeriment Station, Dept. Agr. Econ. A. E. 9% 65- 3, 101. U. S. D. A., War Food Admin. 1949. Regulations (other than rules of practice) of the War Food Adminis- trator tor the enforcement of the Perishable Agricultural Commodities Act, 19 50, as amended: Text of the Act. Serv. & Reg. Ann. 12; 10-23. Manual of Procedures for cooperative regional research. U. 3. Dept. of Agriculture., Coop. State Expt. Sta. Service, Washington, D. C. CSBSS-OD-1082. Nov. 1963. Waugh, F. V. (Ed.). Readings on agricultural marketing. glowa State College Press, Ames, Iowa. 1954. 456p. CUJJECTlULS to "The Development of Grading in Floriculture: a study of duality neasurements for two Greenhouse Rose Cultivars" as ihesis, h. Jane Coleman 1965 1. page V, line 14: for 'Upposition to grading 16' read I II H H 20 2. page 9, last line: add 'and' after 'standards' 3. page #8, line 1: for 'Sbnufiny OF Gnabds....(86)' read I H H H ....(56)| L». page 46, under '4) 140.1 1‘.31.i‘..1'1’v1:s 6.11.0.5 .903 CDT RossS', the hinimum Flower bud Length for the Extra Fancy Grade (plus) should read 1 3/H, not 13 3/9. 4. page 62, line 10: add the word 'range' to read 'stem length range available at the time.‘ . . ..mfitimsfiga A. ,. |w {Imaging flp'j_. MICHIGAN STATE U I IIII 31293 Y 1111111111! 03046 6 LIBRARIES 209