. .' . a‘ - . v '3 o . . I v . u . I . ‘ V - o ,o a o ‘ ‘ _ . _ o . . ‘ ." ,. ‘ s v SOM ' ‘féTfl‘ISiil‘: Ex \“ s; an Tmmmor ‘Nn ‘ NS?! \ k . . § ‘ '\.“,‘ X...“- 9 .~ '- K s‘ '0- 1H1 . s . \‘S l " .4 “‘9. -.'.' to. ' . '..' ‘- .‘ .-. .O ’1. . ‘u . h 0 . - V WA ‘ , wag; nvotdd. Yo. pawn” afar puma". 1’. ~( - ’4, ’3‘!" I ‘no. . saw... m....%wi.... £501.33 FACTORS INELUELCCIRG TIES YILLD CF SOLE VARIETIZSS OF 1:3.— ‘ Yvfi‘ "-‘|‘.~~ I‘lll‘ffl i“ 1 :1. B... IIQI I N LII C RI GLYN o ‘13 r1137: “fi~ mm “7.4-.“ QO‘A—J OF 1.4.4.4 fizxLLOlLrJ CF Respectfully for the Hichigan I“;J. int-u J: ‘ 1? -~.1'-‘-1—f- w,‘ IKFLUlKCILG T33 YIELD CE J L3 ‘nn allgb mm “a“ 313153 IN moi-1mm @3315 submitted in partial fulfillment degree of Kaster of Science at State College of Agriculture and Applied Science Judson A. Thompson M 1930 '1 HF‘NS :1)1‘.* 1" ~71 3* -r:rw‘.".i1 1 .1.-.”le (,4! CCU» 1-41.19. I. STRODU‘TION. ----------------------------------------- A. Importance of bean production in Richigun -------- Bo Hethods of harvest used by fgrhers ——————————————— C. Problem ------------------------------------------ I I o LLTJRIAL. --------------------------------------------- A. Source ------------------------------------------- 3. Variety abbreviations ---------------------------- III. LBIEODJ UJLD TC Ellyn: SJ; Egg;upg, ------------------ A. LSthOds used in the field --------- ______________ l. Terminolooy --------------------------- _-__ 2. Planting ................................... 5 . c; t and ------------------------------- 4. Harvest ----------------------------------- 5. Shelling ----------- - ______________________ 6. Weight of vine --------------------------- 7. Threshing and cleaning ------ - -------------- 8. Yield --------- ' - ------------------------- 9. Pick ---------- - ---------- - ---------------- B. Methods used in handling data ------------------ 1. 1.:ean --------------- --- --------------- ---- 2. Probable errors --------------------------- 5. Correlations --- -------------------------- e. Liugonal method ------------------- b. Super-irposing-the-meuns-method --'- c. Corrections ------------------------ 10395:} H (.1 f‘ U C.) L; 1 (.0 10 11 13 13 14 14 15 15 15 16 17 17 18 18 d. Coefficient of yield. ....................... IV. Obstacles encountered. ........................... ----- A. Veather. ------------- - ........................... B. Soil fertility and available moisture. ----------- C. Baldhead. ........................ - ............... D. Soil. ............................................ E. Other limiting factors. ...................... ---- V. RESULTS. ---------------------------------------------- A. Factors influencing yield. ----------------- - ..... 1. Variety yield. .............................. 2. Weight of vine. ............................ 3. Stand. --------------------------- - .......... 4. Shelling. ---------------- - .................. 5. Pick. ....................................... B. Relationships. ........................... -------- 1. General observations. ...... - ......... - ...... 2. Discussion of relationships. ................ a. Shelling -------- to - weight of vine. -- b. Height of vine -- to - yield. ----------- 0. Stand ----------- to - yield. ........... d. Pick ------------ to - weight of vine. -- VI. CONCLUSIONS. ------ - ................................. --- ACKNONLRDGEKEHT. ---- - ........... - ...... --------------- LIEERATURE CITVD. --------- I ............................. 20 20 2O 22 23 23 24 34 24 24 29 29 37 41 41 45 45 51 56 65 75 76 T7"I"|‘_‘: \' .1 "(V 171T h‘: T I. .L.\J.-LCL’L2\J.L.LUJH. A. Importance of been production in Lichigan. Since Lichigan is the leading pea bean state in the United States, producing beans of high quality and flavor for use as dried beans, it is very important that a study of the factors influencing yield in this state be made. Iichigan grows over 600,000 acres of pea beans annually and produces nearly 5,000,000 bushels of shelled beans each year. (Agri- cultural Year Book 1927). New York state is second in the production of pea beans and only produces about one tenth as many as Michigan, which ranks first in the production and acreage of all beans, including kidney beans, followed close- ‘ 1y by California with her n ge yields of lima beans. B. Methods of harvesting used by farmers. The early method of harvest used by farmers was to pull the mature bean plants by hand, cure in stack or pile in the field, and thresh with a flail. At present the bean harvester is used, which great- ly lessens the labor of bean pulling. This implement carries two knives or blades, which slip along under-ground Just be- neath the surface, pulling and throwing together two rows of beans at a time. The harvesting should be done when the plants are mature, and not delayed until the pods are too ripe, as shattering results. After pulling, the beans are forked into piles, or, if the field is free from straw and trash, a side- delivery rake may be used for windrowing. After several hours' drying, the crop is forked into small cocks, built high and of narrow diameter at the bottom so as to allow rapid drying. When the beans are dry they are threshed or hauled from the field and stored in a dry place. Growers with a large acreage of beans, increase the risk from weather damage by pulling the entire crop at once. It is a much safer practice, to pull units of four to five acres at a time, cure on the ground, and then store under roof or in stack. Beans on the standing plants are injured less by periods of wet weather than when the crop is rained on after pulling. When beans in the cock are rained on, they should be opened up and turned to stimulate the drying. (Cox and Pettigrove 1924). Bad weather conditions during the harvest period materially influence the quality and quantity of beans thresh- ed. Even with the greatest care the percentage of discolored beans increases rapidly with continued rains. The bean pos- aesses a dehiscent pod and the handling increases the percent- age of shelling thus decreasing the threshable amount. Recently a method of harvesting designed and used by hr. 0. J. Kcflaughton of Mulliken, Lichigan, to overcome some of the evils of the old system has been advanced by members of the Farm Crops Department. While the "KcNaughton Flats No. A well made bean stack. System.of Curing Beans.” H. R. Pettigrove 1v37). I. "The McNaughton (Courtesy of Mr. System" should eventually prove of great success and value to the bean grower, only a few of the more progressive farmers are using it at the present time. (Plate No.1)(Pett grove 1927). C. Problem. While the discussion so far has emphasized the im- portance of the method of harvesting, many other factors are also important. Several varieties of beans are grown in the state and usually two to three of them are grown in the same locality because of individual preference. A grower may be- lieve his variety yieldsmore, looks better, has a larger vine which holds its pods off the ground thereby reducing pick, shells less at harvest, or stands bad weather condi- tions with less discoloration hen the other varieties in his locality. All of these points are vital to the ultimate re- turns that a gr wer receives from his crop, especially during a wet season. There is practically no literature available on va- rietal factors influencing yield of white pea beans. To supply this need, the pre ant experiment was outlined in 1026 by mem- bers of the Farm CrOps Section of the Hichigan Experiment Sta- tion, which aimed to study the question of yield, as influenc- ed by size of vine, stand, quality (pick), and shelling from a variety standpoint. The problem was carried on by Ir. R. B. Carr for the two-year period preceeding 1928, but he has not submit- ted a report of his resul (1' s as yet. Th problem was contin- ued by the author. The material used was II T'-I’1‘1‘{‘.' .1» Q laJ..L-La.4n\ JL—L‘. Department of hichigan “tate College. Thirteen varieties were chosen as typical of those grown in the state. A. Source. The original sources of the varieties used in this experiment were as follows: 1. 4. 1000-1. Sel. ho. oBSSoS, no 197. Received in 1913 and entered the nursery that year. It is not known where the seed was secured. hexican Tree. Sel. Io. 850205, no 210. Received of George Wise of Hart, hich., in 1913. Eight plants were received and the seed planted in the nursery in 1:13. hexican Tree. Sel. No. 850206, no 210. Received of George Wise of Hart, Hich., in 1818. flight plants were received and the sezd planted in the nursery in 1919. Robust Selection. Sel. No. 850506, no 213. Received as Early wonder (reclassified and called Robust Selection) from Sebastian Greene of Hart, Kich., in 1913. Kine plants were received and 5. 7. 8. 10. the seed planted in the nursery in 1919. Greiner. Sel. he. 85060s, no 21%. Received of Sebastian Greene of Hart, Iich., as a commercial navy bean in 1918. Tive plants were received and the seed planted in 1319. Canter. Sel. No. 851502, Ac 221. Received of O. E. Canter, Shelby, Kich., as a commercial navy bean in 1918. Thirty-six plants were received and the seed planted in the nursery in 1919. Early Wonder. Sel. No. 851505, Ac 225. Received of Uatson Billings of Davison, hich., in 1918. Five plants were received and the seed planted in the nursery in 1919. Pliter. Ac 254. Received as a commercial navy bean from U. C. Pliter of Clio, Kich., and planted in variety series of 1921. 1200-1. Sel. No. 518001, Ac 265. Received of J. C. Waleott of St. Johns, Kich., and was planted in the nursery of 1922. Alaska Parish. Ac 575. Received of Frank Parish of East Lansing, Hich., in 1926, as Alaska Giant. Kr Parish received his seed from William stock of Standish, Kich., two years before. 11. Early Wonder. Ac 585. Received of John Simms, County Agent of Tuscola County, may, 1925. 12. Vermont. Ac 585. Received of H. R. Pettigrove of the Farm Crops Department Kichigan State College in 1925. 15. Robust. Sel. No. 40520, Ac 15. Selected in 1908 by Professor F. A. Spragg. The strain 40520 is a reselection made in 1914. This is the strain known as Improved Robust today. It was used as the check in these studies. B. Variety abbreviations. An abbreviation is given to each variety as shown in Table 1. in order to simplify reference to it and to econ- omize in table space. Table 1. Table 10 gives the variety name, and the simplified abbreviation. 10. 11. 12. 13. 14. 15. Variety. 1000-1 Mexican Tree Mexican Tree Robust Selection Greiner Canter Early Wonder Pliter 1200-1 Alaska Parish Early Wonder Vermont Robust (Check) Total population Correlations with means superimposed 525805 850205 850206 850506 850604 851502 851505 Ac 254 518001 A0 575 Ac 585 110 385 40520 selection or accession number, Abbreviations. 10 Cr E2 P1 12 E5 Vt Ck Plate N0. II. a .P. ' ‘ '17 "» , _ I- I " --.‘;‘ ' - 2 ,' '- P . . _‘ . ‘O .‘——.1 - ‘L: kw-1 \- _ General view of the plant breeding pea bean area, 1929. A. Methods used in the field. 1. Terminology. In order to have a mutual understanding of the terms used, they are interpreted as follows: a. First stand - the number of healthy plants per plot in the second leaf stage, about three weeks after plant- ing. b. Second stand - the number of plants producing pods per plot. The count was made when the pods were ripe a few days before harvest. 0. Yield - the weight in grams of threshed and fan- ned beans obtained from each plot. d. Weight of vine - the weight in grams of the entire plot less the weight of the threshed beans grown on the same area. e. Shelling - the actual number of beans that are shelled out and left on the ground in the field. Special pains were taken to carefully count all of the shelled beans, as this was one of the main objects of the experiment. f. Pick - the p r cent of discolored, moldy, unmar- ketable beans, not including split beans. This percentage was obtained by averaging the weight of discolored, moldy, unmar* ketable beans found in each of two lOO-gram samples taken from the fanned beans of each plot. Split beans were not included because they resulted from the type of small thresher used. 2. Planting. The beans for planting were graded by discarding all beans that would not go through a 5/4 x 15/64 of an inch mesh sieve, and all that would go through a 5/4 x 15/84 of an inch mesh sieve. This did away with all under-sized and over-sized beans, and made a more uniform lot. It also made the number of beans planted in each replication about equal. All cracked and diseased beans were picked out. Equal amounts by weight (55 grams) of each variety were planted. The soil was prepared in the usual way and nine 50 foot series of the varieties planted end to end in rows (28 inches apart), running north and south, with a check every fourth plot, as shown in the planting plan. This planting was repeated three times which caused each variety and the check to appear four and 17 times to a series or 56 and 155 times in all, respectively. Border effect was taken care of by either planting three rows of edge (Robust) or planting other variety experimental plots adjacent to the first and last checks of each series. The plantings were made on June 2, 1928, and June 5, 1929. The beans were planted on different fields each year, but followed a crop of corn both years. Fertility was added the first year to the extent of 500 pounds of acid phosphate per acre and the second year there was added an application of 500 pounds of a complete fertilizer (4-16-4) per acre. -10.. J. as 52...? 8338383 no c0383... . J . . .5 .mmflnom nomapmp mafia .pm .J .IIIIIIJ .llllll. IIIIIIJ .nm 03» hasnhmaad .ppwmw .:H mm .mson . . .J . . .md 393m a3 mag A; on EOE . . I . IIIIJ IIIIJ as .hmm . . . . .ma . . . . . .Hm Illlllla . . . . . . . H .mm J . i . . . . . . as Illllll. . . . . . . . . .Ho IIIIIIIJ 4 w . . . J a a .90 lllIJ . . . . . . u . .mm . . . . . . . . IIIIIIIJ .Mo . 1. 'IIIIII. :llllllu . . . . a .02 lint... . . . . . lullJ . 1. .ma . J. . . . . . . . .3 H . m . o . a . m . a . o . m . . 38 .muoam no pcmaomuwnh< .hpmanw> .«nsonm pom mmnfipamam ownnp nmgpo anal .mmflnom some :H moSHp Hmom omnwmmmw .qsonm mm .mxomno hnwmmmomn map dew weapofinwp no pom engage may .4 a“ axon» .3 .3 .3 .3 .3 .fl .3 .a .m .s .o .m J .n .m .H .o no meanom node dd nacho mean 0:» 3H moHpOHHo> .moahom mafia on» I H 0» 4 "noam wmapndflm -11- 5. Stand. In 1923, only one stand count was taken which con- sisted of counting the number of healthy plants when about three weeks old. The purpose of this count was to find the relationship between stand and yield. In 1928, it was noticed that many of the mature plants did not produce pods, so in 1929 a count was made of the pod producing plants, referred to as "second stand", to determine Just how much of a factor this was. The second stand did not include plants that had been damaged by bald- head or bean maggots, or other non-productive plants as those attacked with mosaic or blight, therefore the second count was more representative of the plot than the first. 4. Harvesting. The nine series were divided into five different treatments as follows: Treatment. Series. I A II B-C III D-E IV F-G V H-I The treatments aimed to study the response of the varieties to different conditions of harvest. The first series was unweathered while the harvest of the remaining -12— series was delayed. A description of each treatment follows: When the bean plots:nre ready for harvest each fall sufficient help was provided so that the first seven series (A'G) could be pulled the same day. This part of the harvest was done September 6th. in 1928, and September 16, in 1929. The remaining two series (H-I) were pulled and taken in three weeks later. Burlap bags were provided both years for each plot of beans. Treatment I (A) was sacked and taken into the barn immediately in order to have a comparison betweenall the va- :rrties in regard to pick and shelling uninfluenced by delayed harvest. The sacked beans were hung overhead in the field barn to dry. Treatment II (B-C) remained in the field for a veek before being taken to the barn and stored as treatment I. To prevent accidental mixing a systematic method of piling the varieties was used as shown in Plate No. III. These bunches were turned with a fork after each rain or every other day when it did not rain to prevent mold and discoloration. An- other object of this procedure was to determine how many beans would be shelled out by this method. Treatment III (D-Z) was treated the same as treat- ment II, except that it remained in the field one week longer. Treatment IV (F-G) was treated the same as treat- ment III, except that it remained in the field one week longer. Treatment V (H-I) was ripe the same time as the Plate No. III. The diagonal method of arranging beans to avoid mixture. With this system, if the wind blows a bunch off the row, it can be told at once which pile has been moved. other beans, but it was .leru standing for three weeks and then treated exactly as treatment I (A) had been treated three weeks before. The primary purpose of letting treatment ‘V (H-I) stand was to study the influence of weathering upon the different varieties by delaying the harvest and to see whether it was more practical for the average bea: grower to pull the beans and handle them as in treatments II-IV (3-3) or to let them stand until the weather and other conditions would permit their harvest. 5. Shelling. Immediately after each series Was sacked up a shell- ing count was made for each plot. To obtain the shelling count each bean that had shelled out and fallen to the ground was counted, also any pods left behind were shelled out and counted. This made the shelling count in actual number of shelled beans per plot. The counting was a long and laborious process but shelling the shelling data were of great value, as . is'a factor direct~ 1y influencing yield. During harvest, special care was taken, when turning the bunches or placing them in their container, not to spread the beans onto an adjacent row. Care was taken not to walk near where the bunches had been located, because once the beans were tramped into the ground it was hard to make an accurate count. 6. Weight of vine. This factor was obtained by subtracting the weight -14— of the threshed cleaned, beans from the weight of the unthresh- ed V1183 grown on each plot. To reduce the amount of calcula- tion all naterial was removed from its respective container for weighing. 7. Threshing and cleaning. The beans were dried thoroughly in the field barn and were then ready for threshing. The bean thresher used was hand made, without any arrangement for wind cleaning. The machine breaks up the pods and vines. The beans with all dockage fall through a 1/2 inch screen and are then cleaned with a fanning mill. The thresher cylinder was rotated at the rate of about 900 R.P.M. Unfortunately the machine crack- ed quite a number of beans. When the beans were cleaned care was taken to use a top screen large enough so that all beans would go through and a lower screen so small that only the dirt and very small pieces of cracked beans could escape. The wind was increased so that all pieces of chaff and broken pods were blown over. 8. Yield. The yield was obtained in grams by the use of a Toledo no-springs gram balance. The beans were weighed as they were cleaned, before they were resacked. There was a great variation in yield throughout the field and between varieties both years. Plate No. IV. shows the very produc- tive area (Series H-I), 929. The yield was much above the Plate No. IV. The very productive area (Series H-I), 1929. Notice how thickly the pods are set. average in this area. 9. Pick. This factor could only be obtained in 1928. The abnormally dry fall of 1929 was so favorable for harvest that no mold or discoloration appeared that year. Pick was obtained by averaging the weight of discolored, moldy, un- marketable beans, not including split beans, found in each of two lOO-gram samples taken from the fanned beans from each plot. B. hethods used in handling data. 1. mean. The arithmetic mean is used throughout the thesis, because it is the most usual mathematical constant obtained. All means were computed to three places beyond the decimal point and the last two places were disregarded, if less than .050. If equal to or greater than .050, it was considered as .100 and added to the mean. In the different field treatments the varietal mean was obtained from four plots in treatment I and from eight plots in treatments II, III, IV, and V. The check mean in treatment I was obtained from 1? plots, while in the other treatments it was from 54 plots. When the mean was computed on the basis of all the replications in the field it was taken from the correlation -1 0- surface, and computed from classes, (Hayes and Garber I927) (Babcock and Clausen 1927) rather than from actual summation. In 1928, due to the extr me soil variation in the northeast corner of the area, it was necessary to eliminate one entire replication for a part of the work. With one reps lication out of the first series it left only three plantings of each variety and 15 checks on which to base the mean in treatment I. 2. Probable errors. All probable errors were computed in the usual man- ner, and these formulae may be found in any good book on ele- mentary statistics. When N was less than 30 then N~l was used in obtaining the standard deviations from which the probable errors were computed. All probable errors were computed three places beyond the decimal point and the last two places omit- ted when less han .050, but when equal to or greater than .050 it was considered as .100 and added. The probable error of the difference was used to determine whether or not the difference between any two means was signifiCant. When there is no correlation between a and o O A. b, P.E.dif.3i(a“+b“)“, and it was considered that there was no correlation between varietal means. If the difference is greater than 5.2 times its probable error, the difference is considered significant. (The odds are then over thirty to one that the difference is not due to chance. This limit is used very frequently and is quite reliable). -17- 5. Correlations. When dealing with those characters which are not perfectly correlated, it is necessary to know the degree of correlation which is actually shown. When there is a high degree of association, it Can usually be estimated by inspec- tion, but judgement is often faulty, and an exact statistical calculation of the amount of correlation is the only sure means by which we Can definitely determine the amount of re- lationship. pIt' may be interpreted as follows: 1. If "r" is less than the probable error there is no evidence of correlation. 2. In those cas:s in which "r" is less than 0.5 the correlation cannot be said to be at all marked. 5. If "r" is more than six times the probable error the correlation is a practical certain y. b 4. I' "r" is greater than 0.5 and greater than six *— times the probable error there is a decided correlation. all correlation coefficients were computed to five places but only three are given for clearness and brevity. a. The diagonal method. The diagonal method of computing correlation coef- ficients as outlined by Crum and Patton (1925, p. 258) and modified by the plant breeding staff of the Farm Crops Depart- ment of Michigan State College Was used for the correlation computations. In addition to the ordinary way of combining the varieties into one population, method b was used to ob- -18- ain the correlation surface, and the coefficient computed as in a. b. Super-imposing-the-means-method. The average Value of relationship of the twelve varieties and the check Was also determined by the super- imposing-the-means-method. This method was recently worked out by the plant breeding staff of the Farm Crops Department of Michigan state College, and in its application requires: 1. That the tables to be combined must involve the same characters and must give a logically homogeneous popu- lation. 2. That the mid‘class values of the dependent var- iable in all of the populations combined must be equal or pertain to the same series, with a similar condition holding for the independent variable. ‘ This method consists of combining two or more groups of data by transferfing the frequencies from the different tables onto a single table by putting the classes containing the means at the same point and from the combined table comput- ing the value of "r" in the usual manner. 0. Corrections. Due to soil heterogeneity and other environmental factors some plots were not representative of the field. It was necessary to use some method to throw out any plots far erent from the average. This was acconglished by throwing .4." '\ 4‘ a“ ,r ' .‘Q .\ VA ‘.—. ,‘ ‘. ~ 4. - «. -,- out all the plots icon he Correlati.; (’ F L 3.... H t b t O (u d .4” f d C; H p. :3 0 :1- fall in the limits set by adding or subtractinr from the mean ".2 times the standard deviation. That is, any frequency that did not fall within the classes containing these limits would be disefirded or omitted from the calculations. In the correlation surface wher a number is faund in rarenthesis as (1) it indicates that it is thrown out by the method Just described. If a number is found, such as (3)1, it indicates that in two barieties a frequency this far from the mean was thrown out but in ona case it was not this was I 3 due to differences in size of means and standard deviations. 4. Coefficient of Yield. This is known as the "P over C" method of comparing 9 v y elds, when P equals the actual yield of the plot and C is the interpolated yield of the plot between the two nearest checks. "The coefficient of yield is the quotient obtained by dividing the yield of a variety by the calculated yield of the standard or check variety, growing on the same plat the same year. This is a ratio that becomes unity when the yield of the variety it represents equals that of the standard. It is greater or less than unity when the yield of the variety it represents is greater or less than the yield of the stand- ard." Spragg 1920, p. 168. Iv. ossricnss EHCCUITEIZY. A. Weather. One of the greatest obstacles encountered in this work was the variation in the weather conditions from year to year. The rainfall for the growing and harvest period of 1923 and 1929 (June let. to last harvest) may be found in .Table 2. Rain during this period in 1923 made it possible to obtain a small pick. A large pick under :ichigan conditions is not uncommon, but due to another extremely dry year in 1929 no pick could e obtained. This was very unfortunate be- cause pick is a very important factor with Kichigan producers. B. Soil fertility and available moisture. The natural fertility of he two areas where the beans were planted was about the same. Three hundred pounds per acre of acid phosphate were added in 1928 and 500 pounds of a 4-16-4 fertilizer in 1929. Because of weather conditions the results obtained were quite different. A comparison of the field average on yield and weight of vine gives some idea of the influence of soil fer~ tility and available moisture: 1928. 1929. Yield of beans in grams 505.214.8 é15.9té.0 Weight of vine in grams 333.6:3.5 420.512.8 It is interesting to note that in 1928 there was a Table 2. Daily precipitation during the sumner months of 1923 and 1929. Data from States Department of 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. Total June (32 ()3 O3 O 0430*]OCHC‘COOCOOC?OSCDQW'OC‘FJFfi N UN {71 local Weather Bureau Office, United Agriculture. Precipitation. July Aug. Sept. {'1 .L .06 o 54 .13 .02 0 T 0 0 \3 OCCJ—‘NOOOCCOCC‘OHHIO Ht?» 0 .03 T o 0 NH C30) 0 .0 .06 m .40 y. .44 o C) OCCUOC' (J10 OCOP—‘l—‘O-BOO .50 .84 0 1.89 2.79 9.94 0 1.12 .04 0000000 0 4 .Ba .02 .21 T .05 .01 0 Q .02 .05 .15 .18 .10 .01 C) Q '2214 00000 .\n .00 .42 .24 .03 HOC'HO o {‘0 F5 0 CMJf3CWC q .19 . :35 r o . 37 2.17 Total for season. July Aug. Sept. T 0 O 0 0 O .01 .06 0 .09 0 0 0 .08 O .09 0 .10 .10 0 T 0 0 O .01 0 .03 0 0 .03 T 0 .02 .12 0 0 .59 T .11 0 T T 0 T .07 0 0 O O 0 .04 .63 O .47 0 0 C 0 O o 0 0 o 0 .15 O .17 T o 0 L14 0 O T 0 T 0 0 O T 0 o O O .ce 0 T .BC 0 0 o 0 0 1.90 .27 1.27 5.61 .04 marked increase in yield over weight of vine, while in 1929 the weight of vine exceeded the yield. The greater yield of beans in 192“ was probably due to the greater supply of mois- ture during the month of August. The application of 500 pounds per acre of a 4-10-4 fertilizer was added hoping to increase the size of vine and net weight of beans. With this increased nitrogen in the soil and plenty of available moisture in the early part of the season a large vine was produced. This vine was so large that it apparently took most of the limited amount of moisture in the late growing season to maintain its growth, and only a moderate number of partially filled pods were pro- duced. C. Baldhead. Baldhead of beans, sometimes called snakehead, for a number of years has attracted the attention of the seed growers and farmers. It shows up early in the season and as the other beans close in over the baldheads the farmer thinks the injured plants have recovered, but they only die or merely produce few or no normal pods. Experiments (Barter 1950) Show that baldhead may be caused by insects, by thresher in- jury or by the crusting over of the soil just before the bean seedlings come through the ground. In 1929, the bean maggot (Hylemyia cilicrura) was a very serious pest. This type of injury may be seen from plate No. V. (Pettit 1929). The Weather was cold and damp after planting and the beans were slow to push above the surface of Plate No. V. The work of the bean maggot (Hvlemyia oilicrura). This injury was such a serious factor in 1339 that six series, (D-I), had to be replanted. (Courtesy of Ir. R.H.Iettit, 1929). -26- the ground. The south side of the area was so seriously dam- ". aged that it was necessary to replant six seri 3 (0-1). Three CD series (a-C) were ripe several days before that part of the field where replanting was necessary (L-I), hence there was a greater shelling n hese over-ripe beans than in the other series. Uith this condition in mind one should not place too much emphasis on the large shelling Counts taken on treatment II in 1929. D. Soil. The general classification of the soil in both areas is a fine sandy loam. Kithin these sections are small areas of heavier soils. Part of (A) series in 1928 and part of ( I ) series in 1929 are good examples of the heavier soils, and are noticeably different from the general area. (Figures 20.1 and HO.II.) These extremely different areas made vast differ- ences in yield and weight of vine. Since either yield or weight of vine was used in nearly all of the correlations '4—4— V computed extreme variations were omi b l as described under (0 corrections. 3. Other limiting factors. Diseased and noneproducing plants (Plate No. VI a, b) appeared in all the varieties and reduced the yield. IIIIIII'II. 1 III ‘ -111 a 311.1 31,111, 1a 11.1“ 1.1111 . _?_.1. vwv—y—v—v. ‘—.I:’—.“. ‘ 000‘ -:.I I I, .01-*1 I 19.; .fi MICHIGAN STATE COL LEGE .. 'Oooo'-» b-‘von I“: O 'I.., 0.... 'lli‘l il.‘i I1.l.l ‘ll'l & .m. . 1H. ,1. . ..II .1 ./ .. 1.1,»...1.-__.1t. 3 113.1. in -....as a1 sea. 1.1111111... an .1- M. .__ . _ ._ .H - 1 . . ..u... 3..-... ...,1 .....1.._u., .1.. ..1 ... .1I_ .1. .H." 1.1.. .. _1...1.....L.......1...,9fl.1.,;..111 . .1 . -1 . flags" .1. .11 .H an“, 1 \11 -0“ I ‘ . Iv >by9 m- etc. o" )H .4. ’. ‘I.I \\ ‘1 ‘11 I O > 1 . I111 .. - 1w _ .......m1.-...:...31.:u.moe . . .6... .1. 9.0 < .39. l' m: I . -9. . O I I I I I ,I I.. t v I o I I _ . 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I 1 I . _ I . _ 11 1 I . 1 I . _ 1. _ _ O . . . . . .V 1 _. _ p _ 1 . 11 I .II.I J I . . . V - . . 3 he mammomag V 1 _ _ _ I _ _ ._ 1 1 I. Iii. _ ..l. I. I 1. r _ c.I 1 o _ _ _ .— 1 . . . _ . 1.1. I 1.. .1. _ 1 .I.. 1 .1 _ I I ..1 V. .. . 1 1 . 1 _ .. IIr 1. .. .II__._ ... I III.I. LIIII. I) I 1 .II I II I 1.0] [III .1I .II.I II. .I. 1 h I ,l . . I . _ I. . I ....II.. .I . I . I. III11..¢ I .11. 1III I I_I.II_[.H\.IH . . [H1 1. 1 . .1 I1 I.” 1 .I. . .1. 1 . I . .. I I 1 .I. . v . .I I I I . . .1 1 1 1 _ 1 1. _ 1 II I 1 A 1 I 1 . .. I... I I ..I I v. . I I .1 1 . . 1 I . . | . . .1 I. _ ._. _ .1 1 . 1... .I _ .. . 1 1 . 1. : 1 _ I 1 I II 1. r I.I . 1. .I 1 O 1 I I I — Yrs. 1 I 1 I I. .. I I . ._ .1 I.“ v I I I 1” I I r? I I I _ I I III I ..._I I11w5I I 1 O o I. . I I I I r. 1 _ _ _ __ 5. I I VI I IQ+I I .1 I I I .1 I. 1. II1I I _ I I I'll I I I 1 I I I -I.. I* I II 1.. .1 I — I. 1 1 I 1. 1 1 _. _ _ _ 1. I... . _ 141.1... . . _ .1 1 _ 1 I L. I I... 1 1.. IV! I I u YluoL. .IIIII. I ... .1 nu III ..I1n..r_ . I . . _ . . . I 1 1 1.l1 1 I Y...... I . 1 L I . _ 1 _ I, . . 1 1 1 . — 1 1 I 1 I _ _ l wYI. I I1 . . ,1 I I 1. . .L 1 1 .I _ . . 1 I n 1 _ I . 1 1 I 1 1 1 .I. . 1 _ 1 _ 11 _ 1 _ 11.. . __ _ . 1 . 1111 _ 1. . 1 ...1.-_ ..-. _ 1.1 -1 .1. - . 1 1. . . 1 -I .1 .1 1 -1; _ . . . . . . 1. 1 _ 1. 1.. 1 . 1 . I o I A I o I 1 I 1 I .1 1 .1 . I .1 a . on. 1 _ _ . 1 _ ..r 1 I I I F — l'tl I II I I III I o I. I . I I I I' I I II I .| I I I' I I II IIIII II II I I I I l I I 1 1. 1 . i 1... .II 1 1 I II I .III ._ 1- . 1 I h _ 1 .. I 1 I. . _ 1 _I _ 'I I . 'I . _ 1 _ 1 1 1 _ .11 .I.- : 1 . Ix: 1, ,I 1—1I L I a»; I 5. m- l ’ .I. \ ma- I | .L 5Féwfii Plate NO. VIC. a. Diseased and non-productive area (H-II 1929. b. Late maturity may be due to disease. The dark areas are the unripe vines. Gr " 1 TTT ‘ . . -LHJL'NJ :13. mw A. factors influencing yield. 1. Variety yield. :he yield results are given in Tables 5 and a. Table 3 gives the results as calculated by the coe ficient of yield method. Table 4 gives the nean yield of each variety as calculated from the correlation surface. Robust Selection and Early Wonder (32) are the only varieties that exceeu: the check in yield both years. The significance of the year- ly differences (calculated from the means and their nrobable errors) is shown in Table 5. Here we find the 1923 results of these two varieties (33 and 22) significantly different from the check but this is not true in 192 9. This is easily seen in Table 5. Three varieties; lOCO-l, Pliter, and 1200-1 averaged less than the check both years. The significance of their inferiority may be seen in Table 5. 2. Weight of Vine. The Wei ht of vine results are also shown in Table 4. This table shows that hexican Tree (:6) had the heaviest vine in 1928 and was only exceeded by: JG :ican Tree (LS) in 1929. Early Wonder (E2) and Robust Selection were much high- er in 1928, comparatively, than in 1929. Greiner was lower both years than any other variety. The si-g nificance of the differences may be seen in Table 6. Plate No. VII. Varietal differences are noticed here in the size of vine, and in the number of adhering leaves. Variety 1. 3. 4. 5. 6. 7. 8. 9. 10. ll. 12. 15. 14. 10 Table 3. Average coefficients of yield. 1929 .913 Two-year average .902 ...26- boo.u¢ow. nao.hmmn. neo.umma. smo.uaem. amo.«aan. aao.umam. meo.eaem. Hmo.waem. aao.uamw. Mao.unmm. mHo.Honm. nmo.Hsam. sHo.HHon. mmo.uaom. 2.mm new: mmaa roam m.m Mm.om¢ N.o no.0nv N.Hth.mH¢ N.OHHm.me H.m MH.wmn H.0HHh.¢m¢ o.HaMH.omn O.NHhm.Hn¢ m.oaho.oww N.m Mm.¢mw o.3H«H.mmw 9.0H%m.wm¢ n.0HHm.mm¢ 0.0HH®.NQ¢ 2 .mm mam: mNoH ’ n.n 40.nmn «.0 um.omn s.oaun.emm HoHHHNobmfl m.oaue.mmn m.manm.een m.w H¢.Hsn momHHH.bw¢ s.m He.amn m.aaum.amn H.mahs.mna m.nauo.mmw m.mauo.oee a.eawa.snn 2.nm new: mmmH mew» mo pnmam: o.e «m.mae 0.5 wo.¢¢¢ m.maua.wmn N.OHMH.mmm m.&a«¢.¢mm m.waflm.am¢ m.nHHo.nbw m.mamn.mm¢ N.HHHN.an m.HHuo.omn H.mdfim.mmw O.HH«o.va H.meb.on m.maum.me .4. s.mm new: mNmH .mmma Mafia ems .mmaa one wmma 0.6 «N.nom e.s «0.0me n.ea«m.mmm m.maan.eom m.men.¢Hm m.HHuo.om¢ e.oaho.ooe o.maua.smm a.maue.mme m.HHwe.Hme a.oans.mao o.mahs.mem H.mHu¢.Hmm m.maum.mee m.mm new: mmma dHan so as we .wa .na .ma .HH .oa .m .m .s .a .m .e .m .m .H hpmflpm> maH> Ho pnmfima was camflh you mpoppm manwnonm use mamas one “a mange Table 5: The significance between varieties on the basis of yield in grams, 1923 results above diagonal, 1929 below. “ Vt 33 AP 12 Pl (‘0 Cr Gr RS H6 KS 10 H C) 3 significant by more than five times the P.E;. s - sig- nificant by 5.2 to five times the P.E. . - n0 SignifiCance. -s or -3 indicate that the variety indicated in the left hand margin is significantly inferior to the corresponding variety above. Example K5 is significantly inferior to 32, or 32 is significantly superior to K5. M6 is significantly superior to 12 but inferior to R3. -28... Table 6. The significance between varieties on the basis of weight of vine in grams. The results above the line are for 1928, and below for 1929. Ck Vt ES AP 12 Pl T2 Ca Gr RS H6 £5 10 E3 Vt Ck See notes for interpretation Table 5 p. 27. f, a. Stand. The data on stand may be seen in Table 7. This table gives the average stand for each variety in 1928 and 1929, and the average number of productive plants (second stand) in 1929. Figure Kc. III gives a good comparative pic- ture of the average stand of each variety. This figure shows that Early Wonder (32) and Robust Selection had the best stand in 1928 and were near the top in 1929. Table 4 and Figure No. III also show that while elaska Parish, Greiner, and Pliter were quite low on the average of both years, 1000-1 was very low in 1928. The significance of differences between varieties may be seen in Table 8. This table shows that in 1928, Early Wonder (32) was significantly higher than all varieties but Robust Selection,and the latter'wzafsignificantly higher than all but Early Wonder (E2). The same year all varieties were signif- icantly better than 1000-1. In 1929 Greiner was significantly poorer than all varieties except Pliter. 4. Shelling. Table 7 also gives the average shelling of each va- riety for 1928 and 1929. This table for the 1928 results in- cludes a little different average than the 1929 results because of a different outlook on Treatment V in 1928. Due to a wet fall some second growth occured on the fifth treatment (H-I), and at harvest time there were several all green plants with a a. mo.aoa m. Hm.naa a. «m.moa m.aum.ma m. w¢.mn as .ea m. “a.moa m. us.maa s..HH.m0H o.dum.om o.fluo.an so .na m.aun.ooa m.H«m.AHH m.HnH.so m.e«e.em m.m«s.mn p> .ma m.Hwe.Hoa s.ame.baa o.a«s.eoa e.e«o.om e.e«o.ae mm .HH m.auo.nm s.Hflm.soa m.a«o.moa m.wuo.mm H.awm.ma m4 .oa m.a«n.moa m.awa.saa e.Hwb.moa b.e«e.mm m.mwa.an NH .0 m.d«s.mm e.Hum.Hoa ¢.Hwn.am a.ewe.es m.m«m.en .Hm .m H.Huo.moa o.Hmm.eHH a.a+n.mma a.naa.ae m.nwa.mm mm .s m.Hum.om H.mwm.naa s.Hwe.mHH m.mun.me o.mum.mn no .o o.H«m.om n.m«m.ma o.aye.eoa m.sum.nma o.nuo.ae no .m m.aum.eoa o.mwa.maa e.amm.ama o.num.ae n.mus.ew mm .e a.H«H.mm m.Hun.aoa m.HHo.HHH m.n«m.mm m.mno.en as .m m.Huo.ma s.Hum.oHH o.HuH.mHH o.awm.mea a.¢«>.>e mu .m m.HwH.noa s.Hum.eHH s.amo.mm H.awe.em n.nwm.en OH .H m.am neon a.mm new: 3.mm mama :.mm new: a.mm swan apmfipap mama mama mama mmma mmmu eases .eam eeapm maHHHmam ..mmma eaapm eaoomm one .mmma use mama caspm was waaaaonm Hon whonho manmnonm can magma one .boanca M'CHIGAN STATE COLLEGE .w r1 T' ' v f - I— Ivy-cw h ‘ vrw ,. 1 fl , I ‘;-_ I . 1: . . I. _ . 1. -FE- . . v1, ... , V. . ' j_ , F ,5! , ..Ivrv-t ‘¢“ ‘ I -‘ Icon ..... 3" ,. I .. , .- l . . ... _,. .y r ‘ ' I I I 0' - i C' O p- u - ti.‘ : 3.2 iE.Tandér 851595 Thebuat159 . 5331269101’1' J E. dander . 1.539 385 1200~l " '.‘ 512001 5. Robu_st' . 'ChQQKS’ 3 ‘ a. if. '8. (*flis. :3131§.:1 ‘—. —.iI—' — I- a - u I ”1090*11 *328893‘ can...” .351392: 'Yfifimont» ”110‘? 355 ‘1... was. ' ‘350805~ ‘ 2‘62. Tree ,WBSQBUB ‘7htsstept fPafiiShu‘ spartan‘**' 18599945 I QPliter .nc 859 oval W Phpulation .L._... . -... .::3..33_.3333 3; 333. 33334.33333333 vAA AL . r v‘ “w“uWW-vfi wwv—vr-Vw rw;~,'.w 1 ir' 9 ' l l‘ —- 3 '4'. 0—4-‘AJ—A:A ." 1 .1-4 47 111111 AAAAA $1,? 4 4 4 014 o 9 . 4 b .' ~ *7” . v T‘ .,_, _._ . ., , '0 I .L- y .- {1mm a... 1.3 ; (Tf~jti§?31'fstamd 1aae. (555797' f1-~rrbauat1véur1aats- .i~1329. |-n@n:pronuativeifilants 1929. _II—‘I'd- ‘- Ii- I ——I -I I ._.“ .I I ‘I- .- “ — l- I I I ‘ l“- I I Figure No. III. I .l\.—I 'I'i’.‘ "' “I: I-‘A' ‘ 33" a I, - ' unhi- . _ : < , _" ‘ . ‘. ‘ . , ,. l ‘ ' - , '- _- ~ - _, 4 ~ ,, .I- " — - Q'I .- | . no. I-I.—-I--_-u- ...-.....I nan-._. ...-Jr‘s- .fi-I I.- L ,,. 1 : t .0 . ... I I Hutu—J... III—._....u‘ .l-I ...- L.;._ .. ._.. .__;- .1 -. . Table 8. The significance between varieties on the basis of stand, 1923 results above diagonal, 1929 below. lo M H m 0 m G H :U (u hi 6 Ck Vt 33 AP 2 10 M5 M6 Gr Cr E2 P1 12 ES Vt Ck See Table 5 (p.27) for interpretation. few green pods on most plots. These plants were not harvested with the mature plants but the beans were shelled out by hand, counted, and added to the shelling counts. The first column of Table 7, and all of the shelling ate for correlation coeffici- ents for 1928 were comeuted on this basis. All data on the weathering (Tables 10, 11, and 12) are computed on the actual number of shelled beans. The difference is very small except that it made non-comparable values for Treatment V. Table 7 shows that Xexican,Tree (M5) shelled more both years than any other variety. It was not so much above the average in 1928, but in 1929 it and Greiner shelled very heavily. Table 9 gives the significance of differences between varieties. In 1929, fiexican Tree (K5) and Greiner are signifi- cantly different from all other varieties, but are not significant- ly different from each other. Tables 10 and 11 show the effect of different field treatments on the amount of shelling. In Treatment I all the varieties shelled very little both years in com‘arison to the other plots, while in III and Iv shelling counts were especi- ally high. Table 12 gives the significance of differences be- tween treatments. With some of the varieties Treatment I gave results that were quite signifiCantly different from those ob- tained with the other treatments in 1323, but in 1929 it was significantly different from all the other treatnents, except Treatment II with Robust Selection. The fourth treatnent was not significantly superior to any other. of shelling, Table 9. The significance between varieties on the basis 1929 results are given. \ Cr Ch Vt RS 10 Pl EB Gr 2 E M5 There was no significance between varieties in 1928 on account of the low shelling counts. See Table 5 (p. 27) for interpretation. o.awm.om o.dwe.nm o.awm.nm m. we.nm m.a wH.mH ma .ea s.a«m.mm H.mwm.mm m.mme.mm n.mvn.om e.m we.ma so .na e.an.Hm H.0we.en o.maa.ae m.n«m.sa m.H an.e p> .ma H.ewe.em m.mue.ee e.nuo.bn s.m«o.mm e.H Hm.n mm .HH H.5um.mm m.owm.me H.ewe.om H.ewm.on m.m mm.e m4 .oa o.mum.em o.mwa.me m.euo.sn o.mmm.ma e.oaam.aa ma .m e.me.nm 0.0«n.om e.mfin.em n.nwn.ma m.aaflo.nn Hm .m b.mwo.em e.oaam.ao n.eua.en o.eam.on o.maun.mm mm .m m.mfia.mn m.ewa.ee m.awo.em n.mflo.sa a.» «n.HH mo .0 m.mum.mm e.ohn.se o.eao.ae o.mwo.mm n.o an.ma no .m o.ewo.mm m.ehm.@m o.mem.mm n.mae.em n.n um.o me .e H.nua.mm m.eva.ee m.mme.an H.efiH.mH e.m «n.ea as .n o.oafl.mn m.eum.sm e.mmo.me m.H+m.nH e.o «m.mm ms .m H.nae.mm n.mwn.sn e.HflH.Hm m.n«o.nm m.e am.am OH .H :.mm neon a.am new: a.am came e.mm mama a.mm neon apmane> .Hnm .eum .aao .o-m .2 mmfinmm .> .>H .HHH .HH .H paoepeona .mmmH .mpmoapwopp UHQHH pcoaoMHHu pound hpoapop mono Mo mafiaaonm doom .QH oanmfi rd 70 e.H Ho.me e.m we.ae (O ue.ooa m. m.m +m.eb m.m “H.nm m.m we.em e.s “0.02 H.m Hm.oe H.o nm.me H.maeo.oma H.e um.mn o.a um.em m.eauo.ema o.m ao.mm 04.4.. hr o a? H.N Mn.©oa o.n “n.5e 0.2 um.oma m.HHuo.mmH H.2Hhe.maa m.> he.mma m.mHHm.HHH H.e Hm.mo m.eHm.me H.0Hnm.mmm a.» Ho.ee o.e um.ee o.mamm.ema w.e ao.eHH .x.mm same .e-a .PH m.H we.ms H.n Hm.am o.maum.em m.m “H.ms e.mauo.moa .H.m He.oe 0.5 Hm.me o.> um.me m.m Hm.ee e.m wa.mma m.s He.mm a.m ua.me m.m He.oea b.m Mm.®® . «.4 :.mm meme 0 m'a I. .HHH .HH sagas o.H Mm.ee o.m “H.me a.saum.nm e.oahn.oe m.mauo.sa e.s um.mm m.e an.ae m.e “m.Hm e.m ue.mo a.mahe.mma o.m He.en n.e um.mm «.0Hun.oom m.e an.eoa .-.4 L.mm mama .HH e.H He.mn a.m Ho.mm e.m wo.em m.H am.om m.n um.en o.H Ho.ea o. «m.em e. no.0a m.m Mm.ma H.m wo.me o.a H .mm m.a Ho.wa e.mmum.em m.e vo.mn ‘41fi r.mm seen .4 r .H paoapmone OH .m .H hpmapo> moanmm .mmmH .mpaoapmonp daoam paoaommfio Amend humane» none mo mqflaaonm comm V. II-Io III.- D-Ti‘o II. 3-0. A. Table 12. Shelling count significance between each field treatment. I. Treatment. Series. ‘4 1933 no : 4 no no , 4 n 4 n 4 1'1 0 O ‘1‘ 'J‘ C. t sh 1928 1'10 9! H l 4 I10 0. O. O. .0 0. O. .0 O. O. O. O. O. O. O. O. O. C. O. O. .0 O. I. O. O. O. O. O. J I10 n n n n n n n n n n n n Cr) C} O t s :1 t t : t : z z t = = = O. O. .0 O. O. 0. O. 0. no .0 O. O. O. 0. O. O. O. O. O. O. O. O. C. O. O. O. O. ' :5 123 no :1 1 no i 4 ‘t o g z n i no 4 J88 o 10 O O m :' t t -$ 5: : <fl a 5) fi' -e 12k EO no 0 O S: 'J‘ V." ‘d‘ C V" ‘i‘ '9 H 4 3” EC 4 4 4 4 4 no 4 C. O. O. O. .0 O. O. I. O. O. O. O. O. .0 .0 O. O. O. O. O. on O“ 0“ 0. 0. 0. 0. rm [0 m r4 ~ r4 '9 r4 2 : ~$ r4 = t : : : = : = r1 3 a d EC 1928 O E : ’11 n 4 all 0 e G a a) Y! 4 1 . 3,4,5 t» p o 0) <3 <0 (0 L« h 01 .4 01 N) -P A: -H r4 2: i: .‘ z :3 n1 {A r1 ‘3 :1 :> L) :3 I o 0 o I O 0 a3 a; 5 F; (6 N3 *> an N) a) co D~ , L ’ '4 e r1 r4 .4 r‘ 2,5,4 page. no next table see 118 I i ‘ or exnlanation of t "“l I t ‘ . all mP J- 14. Description of symbols used in Tables 12 and 15. The treatments represented by the numbers at the heads of the columns are considered to be superior (1.6., shelled less beans per plot) to the treatments whose numbers appear in the body of the table. Thus:under I in l928 for variety H5 is found a "4" (arabic numbers used for simplicity) and it is interpreted to mean that I shelled significantly less beans than IV but the differenceswith the other treatments were not significant. In 1929, under I for KS is found "all" and it indicates that I shelled significantly less beans than all the other treat- ments. A "no" indicates that the treatment at the head of the column is not significantly superior (shelled less beans) to the other treatments. Shelling counts may be interpreted in pounds per acre by considering hat ten beans per plot is approximately 3.25 pounds per acre, or 100 beans per plot is approximately 32.5 pounds per acre. Then, the average (TP) loss under Treatment I is 1323 (Table 10) was 4.2 lbs. per acre, while in 929, (fable 11) it was 10.5 lbs. Hexican Tree (x5) and Greiner lost 7.6 and d.O lbs.,respectively, in 1923, and 31.8 and 22.3 lbs., respectively, in 1929, with the same treatment. The losses occuring in these two varieties under Treatments II, III, IV, V in 1929 were very high, while in Robust Selection, Kexican Tree (M5) and Early Uonder (32) they were not very large. These differences are in all probability due to in- herited varietal characteristics. 5. Pick. Table 4 also shows the average pick of each variety for 1928. No pick was obtained in 1323 because of reasons al- ready mentioned. This table shows that Greiner, Pliter, and Vermont picked much heavier than the other varieties. The significance of differences between varieties, on the percent- age pick, may be seen 'n Table 13. Greiner, Pliter, and Ver- mont are significantly different from all other varieties, but are not significantly d ffcrent from each other. Table 14 gives the mean pick of each field treatment. The first three treatments picked much lower than the first two. Table 15 shows that the significance of differences between treatments. ho variety in Treatment IV or V is significantly better than in any of the other treatments. -\J‘;)- Table 13. The significance betueen varieties on the basis or pick, 1923 results above diagonal, 1929 below. - Ck Vt 33 hp 12 Fl 22 Cr Er as he 33 T; t Ck See Table 5 (p. 27) for interpretation. ..5 55 10 NH 0H3.“ mno.uoam. NbO.HQQo. moo .+oon. mwo.hmow. 030.+omm. LII. mso.womo. omo.wamm mmo.uoon. oeo.momm. mso.uoow. .mp awe: .Hum .> E wso.uonm. mmo.wwam. 03 .33. poa.wonm. mac. man. m i0 +o:. ®¢O.wmm [Q o eno.ummo. .mm new; .oua .>H oao.nmmm. mao.wmma. mmo.womn. mao.uemm. mm..«awm. owo.umam. bbo .+wmm omg.mon.. on .fl mm. 000. a)». a so».-ama. baa..moa. mac .+oma. omo.wmaa. mmo.umna. noo.noom. on o. +omH. soo.umam. noo.wamm. Hmo.flooa. .mg.umaa. .«moa. mac.«maa. 4:4 LpoflinH gamma .0!@ .HH .mmma mpqmapwmgp damam pcopmmmfio mound mpofips> Sumo mo Moan smog mam moo.maba. m8 .wa wmo.wmma. Mo .mH bmo.womm. P> .NH ®¢Q.Moma. omo.wbHH. m4 .OH wNQ.HQOm. NH .0 Hmo.wmba. an .m HHO.M>©H. mm .§ mwo.HmHH. H0 .0 oo.fimmfl. Hm .m LC in .«ooa. mm .a oao.ubmo. 02 .n smo.«bam. mu .m omo.unmm. OH .H H.mm coma hpmflnw> .fl weapon .H psospmmpe .«H mange -40.. Table 15. Table of significance between field trestments on tnc basis of pencentsge jick for eich variety, 1323. Treatment I. II. III. IV. V. Series A. B‘C. D'”. F-G. H-I. Variety 1928 192- IJBG 1323 1983 1. 10 4 4,5 4 no no 2. 255 no 4 no " " 5. IKE 5,4,5 ‘4,5 " " " 4. RS 4,5 4,5 4 " " 5. Gr 5,4,5 4,5 fl " ” 0. Cr 4,5 4 no ” ” 7o 32 42,5 5,5 A“: n u 3. Pl ”,4,5 4,5 4,5 " " 9. l2 4 4 no " " 10. AP 4,5 4,5 4 " " 11.3 4 4 4 " " 12. Vt 4,5 1,5,4,5 4 " ” 13. Ck 4, 5 4, 5 4, 5 no no .14. 1? 5,4,5 5,4,5 4,5 n0 4 The weather was so dry in the fall of 1929 that it 'was impossible to obtain a percentgge pick. An example for interpretation of this table may be found with Table 12.(p.58n.) 3. Relationships. l.Genera1 observations. In general, the correlation surfaces were about the srue both years. A few typical Scatter surfaces have been selected from the 1ar;e number actuallyconputed in order to give some idea of the distributions obtained, and they are given along with the diScussion of the characters concerned. The sugerinposing-the-means method (Table 16) of combining all varieties to obtain a total pogulation was used in all Cases, because it was though to be the more desirable method of obtaining combined results. It gives coefficients which are not significantly different fvon those obtained by combining the varieties by the ordinary method (Table 17), h wever as shown in Tigures Io. IV. and 30. V., when the means of each Variety are so different it may cause the reader to wonder whether such unlike groups of frequencies may be com- bined in the usual manner into a total population correlation. Both of the correlation coefficients may be found at the bot- tom of'Tables 18, 22, 26, and 55 so that any one not fully .convinced that the super-imposing method is a superior method for combining unlike populations may compare the two results and take either m thod for what it is worth. All plots of a Varie y, unless omitted for soil var- iability as mentioxed previous y, regardless of treatment, were used to obtain the varietal correlations. The correlation coefficients for the total popula- tion as obtained by the ordinary method of combining tables (TP) and by the super-injesing-the-means method (3) were not computed for the 1923 data in Tables 13, 2d, and 55. If no "r" values are found under the columns designated as "corrected, as descr’bed in text", in Tables 13, 22, 26, and 55, there was no change made in the "r" value over these coefficients found in the first column to the left of the one under consideration. Q. 11 - ‘13 w a: v3 cu m m H <9 01 0-1 0‘0 C0 C3 <14 b”) L’) C \2 H OH .mm» m omHo.« omen." Hempooanoov p mmHo.m area." a ...I " ‘3 V (“2 Hlmv H “H1 ANVHH H m b 0 NH HH on mw no HHH mHH HOH «d 0H H1 “Ha H my H H H1 H H H H a e n a m m H n no n n e o o o m H H H o 0 DH mH Hm s n a H 5 NH am mm H: OH n H a o om mm an no mH H a H 9H mm 0H m. H m n HH m m H m w n m H 3 HI MI at w: .mzsos one bznmomqupoadm Hp moHpsHjnom HspoH .va cHlo on «My ozH> mo pzmHos mooapoo moHpsHoppoo H bad? (0 r—{Nt’D'd‘LQ .OH oHnaB ‘r x) and yield (Y), 1929. J ( 1118 t of v' ‘A e A- Wei; ,- .‘ '88 Q I bet\ T1 . ‘ tio Table 17, Carrel; 131821113. 4- 1q dd‘ . Sing her-inno .. ation by not su h otal penal m 1 LO LO C3 5 75 01 LO 2 CI 175 .r 1 53:3!- >48} 02 L’) .4 LG L\ 0,] 7 3o 29 13 “1 {.4 r’? L) [D N L") 7 13 37 L0 L0 t") t’) a} (‘1 E? l A l;‘. 1 15 LC) <14 {'3 18 14 17 9 (:4 F) LO ‘4'! (‘3 [’3 L0 Li) [0 C? L") L\ ID 10 l :3 03 LC) (‘7- ,'\ CI (1) (1) L0 D- 2’.) /‘ \J r" \J 9“" \.J LO LO V4 9 2 116 94 114 L0 37 -.C153 .t vtr‘v'2'r: ‘/~.Ju a. shelling to weipht of vine. ‘ The reM tionslni33betuee1 shelling and r ht oi vine was not so strong as 't possibly Wo1"d be over a period of years. Table 18 gives hie 31111 of the "r" values “or 1993 and 13... Tywicii sarfnce" are Tables 1;, Jo, and 2 . The tendency has for a negative Cori eM tion, the creator the weight of vine the lee: the Sh‘111n3, “n 1323, but the follow- in; year the reverse w.s true. Unfortunately none of the cor- relations gave a si gni: ic -nt coefficient. It i’ interesting to note that, if the p:int3 of inters;etion of the two means of each variety are plot d for sgelling and weight of vine, there is a ,uite stronb reJative relati~nsiin in 1929. The smallness of the 1:2; counts may ~xnluin the lean of correla- thJIC1f these inrberectic;;s .Ln that ;Vair.\;i mums; 0.17, oft 1). If the four varieties (M5, M5, no,.and L2) which are “rarertly aoo e the (TF) both years are average weight 0i vine of all Var i'ties Contaie‘ for shelling, it is noticed that with the e"ee;tion of 115 he; tend to he below the avre_:_.~e (T? in shelling, especially :6 and no. ‘If the four varieties(£3, 10, Gr ‘16. '51) which are appresciably baled the average ’.'.’—‘i;;ht of vine (T2) bot1: years are con med for snelling, it is noti- eed that two of tuna; L3? in” er) shelled.rrnx3 ooth 5 are than the average (If) V-ile the other two ;o:e LLU consistent in their reactions. «V "' - - ‘3 U While h5 has a larger vine Tet it is undesirable on account of its hi;h shelling counts Io sum up the indi- vidual variety relations ins and the intsi " . ‘1’ -"“ "‘ "W’0I‘ "31' —‘ .2." ‘0" V" I "4'" '1'“,- ) "" f “ . 3" N‘ ‘ .f—f . :‘ Sill-133 bile Dent}; ell tbilhvslb‘)’ , .-1 ya]. U119 (3-10:3;th h l the larger viies to have the snaller ‘ . ,. . . ‘ r. _‘ u", H 1 - ~, I“ amount oi shelling \v 1;) smo.wmmH. mmo.w0ss. o.wm H. LC) CD L A. wHH.wbmo. [17 F ’4 F4 1'11 .H mmo.waeH. mmo.wmmo. mm3.mooH. aoH.wHam. aOH.ume. mHH.woao. moH.woom. QHH.HHeH. mHH.Mooo.u soH.ummm. maH.“eaH. moH.ummm.n aoH.Hmsm. HHH.«onH. HHH.umHH. .mm a ..Q oopHpomoe ma .eopoonnoo he use 0 aoHpaOHHan manao ego um "emaoHocH mQOHm HHa-m was 4 r! mpHodo f0 (‘0 OJ C \1 Q 2) O O «H 4 | a] m D- t D O L) O O l I L!) if? Q o + C L\ 01 J o I aOH.moam.n aHH.«omo. a.mm p .o 11 OHH.HHmH.s mHH.uamH.u aHH.«mua. HHH.aoaH. eHH.Haao.- eHH.«aso.- mHH.HaaH. mOH.HHmm.- OHH.Hsom.- aHH.amoo. HHH.haaH.- mHH.HneH.a p.mm a .m emo.ummo.n OHH.wmmH.u QHH.HewH.u mHH.Hm;o.u moH.usom. moH.wamz. QHH.wmmH. mHH.ummo. aoH.Haom.u bQH.HnHm.u mHH.Hmao. QHH.HamH.u aoH.HmmH.u .H.mm .H 0d. .pxop uH nonopon HHom mo pedoooe no woppHao .Aa.av ammH eaa Ho.m.4v mmmH pom qu> go pgmHme aha neHHHozm amospop mooHa> aoHpaHonpoo . m .mH mU.¢H pp .NH mm .HH m4 .OH mm .0 mp .w 02 .n mu” .m OH .H hpoHHnb .aH OHpae Table 19. Cofblation between shelling (X) and Weight of vine (Y), 1929. Total population by super-inposing the means. 1 -7 1 -6 2 -s 1 2 -4 2 s 2 1 ‘3 2 o 8 4 5 -2 11 2o 19 11 e -1 5 22 41 as 19 M 1 5 1e 26 :26 15 1 s 7 21 29 11 2 13 12 10 6 3 5 6 12' u 4 4 2 5 s 5 1 2 1 5 6 1 2 1 7 e 1 9 1 1 52 93 151 150 76 r =.l441.028 15 15 I‘D {O 43 4 1 (l) 5 1 3 2 (2) 9 4 1 1 5 2 2 (1) s 1 2 s 2 (l) 1 29 e 9 6 2 s r (corrected) - .123t.027 -49.. Table 200 Correlation between weight of vine (K) and Shelling (Y). in 1929, on Robust (Check). X 275 525 575 425 475 525 575 625 575 725 775 825 875 10 5 5 5 1 2 16 5O 2 8 17 16 5 l 1 1 (2) (1‘) 54 5O 1 5 6 9 2 6 5 5 55 7O 1 1 5 6 7 2 (1) (1) 24 90 5 2 5 1 2 15 110 5 1 1 (1) 6 150 1 2 5 1 1 2 150 1 7 24 4o 55 19 9 7 4 1 o 2 2 2 155 r =.1601.055 r (corrected) =.199:.055 -50- Table 21. Correlation between weight of vine (X) and shelling (Y), in 1929, on Early Wonder (23). X 225 275 525 Y 10 50 5 50 2 2 70 90 110 1 150 1 150 170 190 1 575 425 475 525 1 2 2 1 1 2 1 1 1 1 1 1 7 4 4 r ..1833.109 575 625 56 -51v b. Yeight of vine to yield. From the correlation studies on weight of vine to yield very significant relationships were observed for both years (Table 22), in spite of the differences in weather conditions. The highest "r" obtained was on Early Honder (22) in 1929 (Table 22) and was .855-.030 which is 28 times its probable error. The smallest "r" was .435-.093 On Robust Selection In 1928. Tables 23, 24, and 25 tend to show the strong relationship of weight of vine to yield. When the lleans of each variety were plotted as to weight of vine to yield there was also a noted tendency toward a positive rela- tionship.(Figure No. qujpart 2). Therefore, there is not only a strong coefficient of correlation on each separate variety, but there is also a marked relationship between varieties, that is, a variety with a small vine will be ex- ,pected to produce low yields, while a variety with a large 'vine will be expected to produce greater yields. MICHIGAN sTATE COLLFGF.’ ' ET A :t v 3 1 ~-—~.,-—,...._..._.. kt : ~neahs r1httee, I EH- éf 1&55729221‘553TEPV5'1' ~11 3‘ ”$2. :0” F3 1111 ' _1. 31111111111 to, 391nm; of vhhe 1938 am 1929 Weight Of V138 1928. l snail-1:13; 191251;?” ~.—. ‘ ' “b 115?»' 5’ ;¢?“g §»‘ on .101 Q l 1.1.. 121 '03 . I :19 .,w 5% ..53‘. :350 515 1Qa ~1111,1hp_ .11 r - I6 1‘“ 51'? :5? £3 hf‘b‘ 4* _ ‘ 9” .MI' , u" . I E; Figure No. '3 . ‘ tfl CD mam—re. mas. {..J m _ p H (:1 D II ' m‘w E. ~ 170: , _. . .. , ,1. 1 1 :‘ll ‘ ' ’ V . . .L__A . .. . . 113 z,. 9 ', I '. , - _ 7. , -< . :e I V ‘ O ht 11:! vi 425; l ’W ’ e111» o1: 11111:: to ”field 1921 aha was " ”1616 1928. coo ‘_ ,jneig 11% 1% 1V2. L" ‘ . Vvvfi 'Tfi ., Y Q o- . - bvo~-.-1i‘ I. ,. . o—-—‘ - I O EBIghi'of Vine 1929; p 5% uh-mu —.—_-‘- -"‘- - ‘1 O V . '1 ”—--I -——~———-u-..— a... a \.L_. ,; _-—“‘ .I.—- u.- Yield less. .__ "‘n, “111' .-.“-J )l- MA' "EMAIL -. U- I‘AIH'IH M! Illa eHo.Haee. mao.wmmm. Heo.+enm. eoa.«eem. who.momm. O O O + I O m JO 0 uaoo poo once mQOprHmpnoo m Meeehaoae meoan Has - o mmmd use «n.4v mmma camflh was maH> mo anHoB 2058909 cad .HmB nao.weao. Hmo.H08 om .vmnm. aeo.ymae. mmo.wmow. oeo.+ame. Heo.weae. oma.wamo. aea.wene. oao.weae. .H .HnH .H .pqomohs mae.wmaw. EH00“ WHO. omo.uoam. .m .pHmp esp QH wopfiaomou mu mae.HeHe. eao.weeo. emo.wmae. who.»omm. (D 4-: 00. moo. . mom. 2’) O b moh.weme. who.»emn. aeo.-aet. moo .wono. who.Hhme. hoo.wamo. mmo.ummm. Hmo.uoha. PH . .I- .n.» ML. 1H *1 .4 mzoflphofianma Had you @mma aw wanna .wmpommnoonxm one .wmppfiao coHpaOfiHmmn epflpuo 0:0 I 4 .An.ov mosah> coapwaopnoo p> .NH H .HH m4 .OH NH .0 am .m NH .5 .HO .0 Ha .m 5m .6 >pmaph> .mm mange Table 25. Correlation between weight of vine (X) and yield (Y), in 1929, on Early Vonder,(E2). X 275 525 575 425 475 525 575 625 675 725 775 825 525 l 5 5 375 2 3 2 425 l 2 2 475 2 l P' 5‘ to 94 525 1 575 . 1 1 525 575 1 735 ' 775 3:5 (1) HOOHONNOQCDO r ;.855+.050 r (corrected) :.8293.056 This correlation is more than twenty times its probable error and is very significant. -54- Table 24. Correlation between yield (X) and weight of vine (Y). in 1929, on Robust (Check). X I 275 525 375 425 475 525 575 625 675 725 775 825 875 225 525 42 175 275 575 1 1 5 2 8 7 7 5 01 F3 475 5 11 15 10 1 10 12 1 2 3 4 1 2 1 NMU‘ .4 P1 :5 Id 9. +4 625 725 825 925 575 675 775 875 1 (l)(2) (l) (1) (l)(1) (1) (1)(1) (l) (1) (1)(l) l 1 5 21 31 4O 27 10 6 O 4 5 O 1 2 1 2 3065610051 r (corrected) ;.554t.04l ea :5 m. an {DOOPQ NNNOI—‘IPQKO 155 Table 250 Correlation between yield (X) and weight of vine (Y), in 1929, on 1500-1 (10). 1' 225 275 525 375 425 475 ‘Y 275 325 375 425 .75 525 575 625 675 1 1 2 1 1 1 2 1 2 1 1 3 2 4 1 3 1 1 9 5 3 r ..6141.070 525 575 625 675 725 775 825 (l) r(correoted) :.37lg.098 01 11 gHOI—‘Gu 0. Stand to yield. Bus to the fact that Two years with diverse weather conditions were the basis of this work, very different results were obtained (Table 26). In 1928 the correlations were small but most of that ind- icated that the greater the stand the larger the yield. Vermont, in 1025, showed a .4lOt.CS4 correlation, which is over four times its e ror, but all of the other cor- relations in this group are small and not significant. In 1929 nest of the coefficients were negative. (Tables 2;, 27, 23, and 23). This would tend to show that the fever the olants, within limits, the Qreater the yield. Since but 0.27 of an inch of rain fell in August 1523, (Table 2), the fewer plants there were the greater was the yield because a Elant required a larger V“ea than i: 1923 to obtain enough moisture to nature beans. In 1223, lurinv‘ the sane 1.;ont11 2.7.; inches or tion fell.(Table 2). These amounts of rainfall probably account for the positive correlations in 1328 and neg- ative correlations in 1929. In 1923, it was noticed that many plants were unproductive.(Figure No. IV). The questions then arose, how much of a factor is this, and .4 low much does it effect the relationshi.s? The number of productive plants(second stand)was correlated witn yield and but little relationship w s noticed within the variety. itself. (Tables 30, 51, and 32). -57- Although little relationship exists between stand and yield in e variety, when the means were plotted for eech variety, e positive relationship is noted (Figure No. 7. part 4). This shows that those varieties with the larger number of plants per row give the highest yield. This is emphasized still further when the second stand is considered. (Figure No. v. part 4 ). -58- omo.emna.- mmo.wmao.- moo.wmoo. «mo.woma.- me.Wmoa.u moo.wooe.- moa.wnom.u HHH.umoa.- soa.nmnm. ooa.umem. aoa.umem moa.»oom.u soa.weam.- moH.HnoH.u HHH.wsmo.u maa.waos.. moo. +mnm. maa.wmao.u 52H. .mno maa.wemo. soa.wemm.u moa.wooa.u p.mm H H.Hm a U h .pxop esp ea wonfiaomou mo oopoeppoo 6.5 r.o mxpao qofiprHHmon onapcm .mmma no.9 moo.snaa.- moa.wn>o.l omo.wmmn.l moH.wsmn.a oaa.waaa. «59.25Ha.- 5.md n a”. ft moa.wmem. was.»Oso. sea.»msm.u moa.umon.- ©0H.Howm.l omo.wemn. maa.uano moo.wooe. moa. oaa.yswa.u boa.wa n .114 Ruhr .H D ago m mooodaocfi mpoan Haw 2.9.4 3 0 man” I L‘ ”I x.) 0 +4 ,4 ‘3 (3} 0 L0 CG 0 e +l L‘ r (j t") o N U) O O + .- ‘14 t”) N O «Ha.weaa. .Hnm .H 0 .He]. mo.wmaa. umO .+Nmmo mmo.woflm. mao.woae. eaa.wmwo.- eaa.meso. «Ha.wmno. naa.wmso.u mod .+DH2. moa.wman. omo.ummm. nfla.wsmo.- ooa.wmmm. moa.wmam. soa.wnam. .H 54 '7.- m n .ma my .ea meo.ymen. so .mH emo.woaw. p> .ma mHH. usmo. mm ..2 maa.ummo.u as .oa maa.wmao. ma .m maa.uamo.- an .m oaa.weea. mm .a soa.wsam. no .5 ooa.umem. no .5 soa.woam. mm .5 HHH.weoa. on .n maa.ummo. mm .m maa.eoao. OH .H 5.nm 5 apmsns> 4 5wonmpoa Haom mo pedoooo so umppaao V was «o.m.4v mmmH oaowh was endpm pmnfim somspop modam> nofipmaonpoo .m .mmmH no.mv anon» ens eqepm eeoomm omaa m magma '59- Table 2?. Correlation between yield (X) and first stand (Y). in 1989. Vermont. X 225 275 325 375 425 475 525 575 625 675 725 775 as 2 90 1 95 1 100 1 2 105 1 1 1 110 1 3. 1 1 115 120 1 125 V 130 1 135 1 1 to to ya la (0 Ik N! (D IF 0’ Oi (8 N’ F‘ (fl .5 0’ p. ‘8 pa C) .9. t0 ._. pl Ci C> pa (3 O) r 3039910095 Correlation between yield (X) and first stand (Y) in 1929. {fltP-UNH O.) Table 28. Total Population (3). '5 '4 -3 ‘2 -l H l 2 5 é 5 6 7 8 9 1 1 2 1 (1) 1 1 1 2 1 1 1 l (l) 1 1 2 3 3 1 2 3 1 3 1 1 1 1 1 4 6 2 3 6 1 2 1 1 3 5 3 5 4 5 3 1 1 2 1 9 7 9 9 4 1 1 1 1 1 6 9 12 1010 7 6 3 1 1 1 3 8 15 8 12 5 1 1 1 (1) 3 10 12 10 6 6 2 2 3 1 (1) 2 2 5 14 21 18 9 1 2 3 1 (1) 2 8 16 19 19 7 V 3 1 1 2 7 13 10 9 7 2 1 1 (2) (1; 2 3 6 ll 4 2 (l) 1 2 1 1 1 1 1 10 é4 103 115 111 85 42 28 ll 12 9 6 6 3 l r ;.2151.027 r (corrected; =.2601.UBQ NOHH <10“! -61— Table 29. Correlation between yield (X) and first stand (Y) in 1929. Robust (Check) 225 525 425 525 625 725 825 925 X 175 275 575 475 575 675 775 875 70 1 1 75 1 1 20 1 (1) 2 85 1 1 2 9o 1 1 1 3 95 1 3 4 100 1 1 1 3 105 1 1 2 1 5 110 1 2 4 3 2 2 1 1 16 115 1 1 2 2 1 (1) a 120 3 2 3 2 2 1 2 15 125 1 3 8 6 4 23 130 1 5 9 10 5 2 2 1 35 135 1 1 6 2 4 6 2 (1) 23 140 1 3 7 (1) 12 1 l 5 21 31 40 27 10 6 O 4 5 O 1 2 1 153 r -.195t.053 r (corrected) :.266t.051 Correlation between yield (X) and second stand (Y), in -52- Zablo 30. Vermont X 225 275 325 375 425 475 525 575 625 675 725 775 ‘Y 80 85 90 95 7100 1051 111) 1151 12K) 1 3 1 3 1 2 1 1 1 1 1 1 4 3 10 r u.195t.053 1 1 1 1 (1) r (corrected) 3026610051 1929. -63- Table 3].. Correlation between gield (X) and second stand IY),.1n 1929. Bobult (Check). 225 325 425 525 625 725 825 925 I 175 275 375 475 575 675 775 875 'Y 70 1 1 1 (1) 4 75 0 80 1 1 2 1 5 85 0 90 1 2 1 4 1 1 10 95 1 5 2 5 1 1 11 100 1 1 2 1 4 3 4 1 17 105 3 5 5 1 1 1 (1) 1 7 110 1 4 5 4 2 1 1 3 1 22 115 8 3 5 3 2 16 120 1 4 6 9 6 2 28 125 2 4 8 1 15 130 1 1 2 (1)(1) 5 135 1 1 2 1 132131402710604501 21153 r . -.1103.052 r (corrected) : -.1551.054 Table ~r- fl 0 0 “0 Correlation between yield (A) and second stand (Y), in 1329. X '5 '4 “5 '2 Y -a -7 -6 2 -5 2 2 -4 1 1 2 -3 2 4 '7 -2 2 3 14 -1 1 6 11 o 2 9 17 1 2 10 17 2 6 l3 :5 1 1 12 4 2 1 5 :5 6 2 7 8 1 10 44 103 13 22 18 21 16 115 r =‘109I0052 Total Population (3) O 1 1 2 4, l 3 3 5 6 8 14 15 10 11 15 7 16 8 16 12 16 5 7 5 1 2 3 111 83 r (corrected) -.l561.054 COCDKBCROJ m [0 42 1430307103!“ (A CO CR ()3 Nil-4 4 5 1 1 1 l 1 2 3 4 2 2 3 1 1 1 11 12 O) F‘ +4 (O O 95 100 1.4 0 (11 Stand 1928. H I...) c» 115 120 .40 Pick 1928. .45 .50 o (7 (,1 Keans Plotted. 3. Stand to Yield 1928 and 1929. Yield 1928. figure Io. v.' 250 500 550 600 050 375 400 425 450 .I0 100 .5, H .105 W‘ yr .9 :3 47 H 110 :MS '3 .vr C! “5 'a lo 1F 00" .E3 .11 -51 0R5 41 lPO -M6 .1 _chr 4. Other Relationships. Weight of Vine 1928. Yield 1929. 11135Q 5751 46D 425 450 375 4C0 425 450 3? 1 .35 M6 $7 J1 . :5 90 -H .33 Jr Mr _3 .me 13 F1 AF 53 35 "’° .0: .TP '2 '0' mp S ’3 100 .w mr 'd .53 .TP g .m 0 f" 9% 100 la. .51 .VT ‘ J" 110 'c“ If) I d. Pick to weight of vine. fi’) Some interesting coeiiicients of correlation were computed in 923 on pick to weight of vine. (Table BBL This relationship could only be secured in 1923 as there was no pick in 1929 due to sraall aznounts o1 prec pitation during‘harvest. On individual varieties all but two of the "r - values" were nerative and 302 e quite significant results were conputed. This indicates that with an a erage amount of rainfall during ha vest, varieties with lar e vines will have the less pick. Small vines are not so strong and the pods are more likely to be on the ground before and after pulling, whereas the large vines would tend to hold the pods up and prevent mold and discoloration. Three sig- nificant correlations all greater than four times their probable error, were obtained frog loco-1, lexican Tree(x5) and Early Wonder (33), as shown by Tables 34, 35, and 36, respectively. The r-values for tie check and total popul- ation, although not significant, tend to show that a neg- ative relationship is present. (Tables 37 and 58). When the f means of each rariet by 1or the one vear were plo ed as to weight of vine and pick (Fig. XoV'part 4) there is negative trend, which shows that a large vined variety is more cap- able of h lding its pods 01f the ground, and the beans are cured fre er of mold and discoloratiol. such Varieties, as Fliter, areiner, and Vermont, had he hi hest pick, and phey had relatively small vines; while Robust Selection and Hex- ican Tree inc) were anon; the large vined varieties and had he least pick. -67- Table 35 . Correlation values between pick and weight of vine 1928(2, B, C.) A-all plots included; B-one entire peplication onitted on adount of soil hetero;eneity; C- corrected as described in the text. A. B. C. Variety r-PE.r r-PE.r r-PE.r 1. 10 *.dl3t.070 -.630t.069 2. 25 -.153t.llO “.4421.092 -;422t.094 3. M6 -.159t.110 -.220t.109 -.222f.108 4. RS -.214f.107 -.0541.114 -.O781.113 5. Gr. *.2502.105 -.244t.107 6. Ct. ‘.115f.111 -.541f.101 -.235I.105 7. E2 -.219t.107 “.060f.114 -.0971.113 8. Pl “.05513112 -.0401.114 9. 12 “.0713.112 -.334f.101 -.299:.104 10. AB -.2861.103 “.317t.103 11. E3 -.472I.087 9.475+.O9O -.473:.OB9 12. Vt -.247f.106 -.276f.106 -.305t.105 13. OK -.1021.049 -.2cOf.033 -.188t.054 14. Tp -.280t.026 -.286:.026 15. s. -.224t.o27 -.2263.027 4‘ _68- Table 340 Correlation between weight of vine (K) and pick (Y), in 1928. 1000-1. X 50 1C0 150 2CD 250 550 350 455 450 500 550 F‘ 03 .05 O3 .15 1 CO 2 2 1 .25 1 2 1 1 I3 .55 1 F‘ ID 53 EU .45 2 .55 1 1 1 .65. 1 1 53 IV N) (R (N 03 CD H C) 9: 14 C) D. G) 19 C) 01 CR CR (51 Correlation between weight of vine(X) and pick (Y), in 1928. ..69- Table 35 o Kexican Tree (£5) 260 250 sec 350 160 460 sec 550 600 cso’voo 750 1 2 1 5 1 1 5 5 2 1 1 5 1 2 1 5 1 1 l r : -. 4421.092 r (corrected) = -.122:.094 1 2 10 8 9 5 O 5 1 55 -70- Table 56. Correlation between weight of vine (X) and Pick (Y), in 1923. Early Wonder (E3). X 150 200 250 500 550 400 450 500 550 600 Y .05 ' 2 1 3 .15 3 1 5 1 1 9 .25 2 1 1 1 5 .35 a 1 2 6 .45 1 1 2 1 1 6 .55 1 1 .65 2 1 a .75 1 1 .85 1 .95 o 1.05 o 1.15 O 1.25 (1) m 1 o 2 7 7 4 a 2 4 35 r :-.475-.090 r (corrected) = -.4781.089 -71- Table 37. Correlation between weight of vine (X) and pick (Y), in 1928 150 _ 260 550 460 __550 _ 650 760 ' Y .05 1 2 1 s 2 1 5 13 .15 2 5 1 a e 6 4 1 1 1 27 .25 1 2 1 s a 5 4 2 1 1 1 27 .35 s s 2 2 1 1 2 14 .46 2 6 6 4 4 2 1 1 26 . 55 1 4 3 5 2 2 1 16 .66 2 1 5 .75 5 1 1 1 1 7 .85 1 1 2 .95 1 1 105 1 1 1.15 o 1.25 o 1.35 (1; 1 1.46 (1) 1 1 O 6 24 22 27 25 19 12 8 2 O 4 1 149 r : -0200-0055 r (corrected) = -.183t.054 (OGJQOEUIVP‘OJNH F‘ +4 I4 2- rd 2 on to be 0 Correlation between weight of vine (X) and pick (Y), in K '6 l 2 1 4 7 1‘ -4 -6 -2 1 1 2 5 6 b 9 6 5 16 2 4 12 5 a 11 5 5 10 5 6 2 6 6 6 2 2 1 1 1 1 1 l 1 (l) (l) 26 42 -.2243.027 ..72- Total Population (3). -1 0 1 2 5 1 4 2 4 1 9 5 7 2 5 17 21 22 ll 5 26 25 16 15 5 17A 17 26 15 8 25 15 5 5 1 4 5 8 4 2 4 5 4 1 2 5 2 l 1 l 2 1 2 l 1 1 1 (l) (l) 78 110 105 86 52 29 19 2 P‘ 24 r (corrected) 3 ‘ Cl C‘. 928. 14 57 104 117 92 (33 IV) :4 H ..‘73— VII 00 ICLUSI L3 1. Since Kichigan leads in the production and acreage of white pea beans, anv information that contributes L: J. to the gen :al kn wledge of tie factors influencing yield is of i portance. q 2. An investigation was outline" to deternine r some of tie varietal factors inflaencing yield of white pea beans in xichigan. 5. Thirteen varieties were chosen as represent- ative of those 3rown in the state. 4. The factor sdealt with in this lIMfGS i3ation were variety, stand, weiJ t 01 vine, shelling, pick, disease, soil, fertility, and precipitation. 3. Such obstacles as weather, s.il icrt111.,, and bean ma33ot, made it very inconvenient to put the two year's data on an equal ‘asis. and were found to have quite an e1 feet on t.e character 3 studied. 6. Cnly 220 of these varieties Hobast Q ele ctioh and Larly Tender (351305) were better in }ield,both by F/C metgod and in avera3e nixber of grams per plat than the check, both years. The average dii “fa renee between these two 246 n t +-;"". “‘7'. " M‘. u".‘:‘)‘./ l 7‘4. mr‘ A t‘ . “ ‘1 fl '1’ ‘ ~1 .’ . “: “ SUqblbclcallw cijulllcddw. .mlree VarldtLGb tmnxa statisticallm' poorer, 1060-1, Iliter, and 1260-1. -74- CJ min / P1 ’3‘ .‘ ‘\ r3, 4 'fi 1 1"." -'\ n -| r ., “I“ - .' ‘3 1 r ‘1 (w . — .5 'dlr 0-- 7. lie D'éhu oi deans oer lot veiled Gonol'pldblgo If? , g“ L”. 1'. w. _6 . '1', 1 “" 'y -\ «'L.-".'- [y “‘ - ‘V'. ". 1 . I" Vl‘ . ‘1’ no relation 3.1 LOLRQ be.neeL stand ail ileld Wltuln a Earlet;1 .m. -‘ ‘3 I? 'v ‘ I .q" ' "0‘ “4 . _J ‘ . r“ ’l" . -L I - ‘ u I " - "~ ‘ '\‘ f‘. ,“" ‘ ‘." 1 4' “ ’v“ lLO‘dG’JeI' TaitC‘oU VallCTJICS alibi the 111338.? 1-71.3.1)le ‘ _liAnbo L-C’JI’ i 0 F1.) '3' “.fl ‘7 I“ ' ‘1“ " ‘7. a “I. r‘ plot 3a.e tne glfluUr ,1elus. C" I".~ v *‘ -“"r‘ ‘1 75' “‘1‘ --f‘ ‘-.“. ‘ ‘. r ‘3 r "a u. Ine SGCOLQ stanc.(n1neer ii LlouhCLlVe Vlants) was not a“ VmTlablB and is gore eleselr re utea to yield tLan the first stand. ” Knee it is neegssuiy to leave beans in the field U. -1. ‘ ~-.. '-~. ... -,. .. 43' --, J- .. - '1 . 1" 1 ._. ": ' , LOTS tian tto Leeks alter UneJ are ripe, ijss :10“ and Slull“ o 3 ., I N. 1 “_3 I ”4. ‘ ,- ' 3“ _ _,".JI.. ’_‘ -, "e" '1; -1 ‘ _ ,- .L 2 .2-‘ _,.’ .' '1‘ 1, ‘ ing LIJHL.1€bult, 1”. tne. are 1Ah.u st exudr3 uflbll. MAh' cl“ ae P. “-4 1 harvested. ‘| r "V . IV .../K 'v- 4 ‘ ..‘4 J" .—‘1 ‘ -.“ - 3: r 4- - '- - — -. ~ ~. 3" l o It ‘. .b IvLLnU. c-1411 Swine VLAJ. l3 ties, Gfl 8118.0 {Lia 7'-—r~' w-fi, {77115 "':‘-. ‘1": l d ""1 .-"".r .r, -n 1,\/3r_-4~.« t‘.r~~,‘ I}, 4‘I~f_,- 1‘,“- ;.‘CJLlCd.L .L.L‘v8\1..u , b1-§/.L e $.Jel. ...OLG bullb LLQll U.‘Le OUlbr V“; . "V . V‘fi ’~_ ‘4' "_ . ‘x I“ v-w -"' ins , ’ ‘ r~ 4“ . ,‘r“ -n- ' -- ieties 11 the teSt unile etners , neoust leGCUlOJ, Canter, U H I 1“" I‘l‘r ' ‘3‘ II 3“ if“) “I,“ all 3 ' ' '7‘»: ”'3 t . " 31’. “i‘ "v 'r‘. 3‘ ' 'n ’3 w— MLLQ a—JdL J in-lU.CJ. uh! ’ Al'v {du 00‘. 5;:qu 1V9 J .LeJ ‘JCdllS, l; Eds-‘4‘ Treatments I and V cf- , . p. (D ( Pd ('0 |,.’ c %- y—r ',_. (D :3 (.1. :1 03 L?) p: I ’- [._J Cl" y a ._. Q ,9 r." ective of gave the least counts. ll. It was found that varieties with lar3er wei3gts of vine rave tne greater yields. 13. Correlations snowed Lnap lar e vined varieties tended to have less pick tl‘n tge smaller Vineu sorts, and also \ K tnat witiin a variet; tne plots wit; tne larger vines na‘ the s aller 310g yer enta3es. 15. Shelling had a tendency to be less on the larger vined varieties, with the exception of Mexican Tree (850205), and on these plots with large vines. 14. In order to increase yield it is necessary,in addition to having as good environmental conditions as poéible, to obtain a variety which has a large proportion of productive plants, a large vine, a low shelling count and a low percentage pick together with the intrinsic characters for high yield. .076: - nvn'nw r “‘7‘ "-T - “n”: hUlM-‘\,-IVWU31Q.VWAJ ‘ A . The author is greatly izdebted to Professor E. E. Down and Kr. H. L. Brown for outlining th's problem and makin3 it rossiole for him to early it out. The Writer also Wishes to thank Professor E. E. Down, fir. H. K. Brown, and Er. F. H. Clark for their help and suggestions. Ap- preciation is also due these men for constructive criticism and the final review of this thesis. -77; LI-furzi-m33 CITE“ Agricultural Year Book. United states Department of Agriculture, 1254 pp., Government Printing Office, Washington. 1927. Babcock, E. B., and Clausen, R. 3., Genetics in Bel- ation to A5riculture. 675 pp., fie Graw Hill Book Co. Ind., N. Y. 1927 Cox, J. F. , and Pettigrove, E. 3., Bean Growing in michigan. Rich. Agr. Exp. Sta. Spec. Bull. 129; l~2l, 1924 Crum W. L. and Patton, A. 0., Economic Statistics. 536 pp., A. W. Shaw Co., London. 1925 Down, E. 3., and Brown, H. fi., Investigations with strains of Bea s. Kich. Agr. Sta. Spec. Bull. 156: 1-9, l926 Harter, L. L. Thresher Injury Cause of Baldhead In Beans. Jour. Agr. Res. 40: (4) 571-584, 1950. Hayes, H. K., and Garber, R. J., Breeding Crop Plants. 45: pp., Kc Grew Hill Book Co. Inc., (.1) 1:. Yo 19270 Pettigrove, H. R. "The Kchaughton System of Curing Beans." Llich. A;_-;r. Sta. guar. Bull. 9: (5) 115-116. 1927. Fettit, R. H. S:raggg I: O A. Common Tests of Field an” . ~m Th. “' I.‘ 7‘ 31—- W- tale)... A‘QL‘. h‘I:F/O Qua. .‘Q'Jeco 1'77. 1329. The Coefficient of Yield. fq. '1 _ I garden Crops. B11110 1‘38: 3' 0 ur . Ame r . Soc. Agron. Vol. 12: (5( 153- 174. 1920. ‘ .V r ' atmv . .. ' .9?“ ‘4. *‘v y" I‘\ 1 STATE UNIVERSITY LIBF‘AF L': 27 ;,1h;‘,-¢:\'3Ar. ‘ ‘ ‘ ,_ 7 H WWW ‘ M ‘\ j" ‘1‘Ihl‘. 3 1293‘ 03177 38