\— MSAYS FOR UDDER. IRRETATION fiASED UPON DEOXYRWG-NUCLEIC AGED CONTEN? OF MILK SOMATEC CELLS That: for flu Degree 0% M 5‘ MEW§MN SfATE UNNERSETY Max 1. Papa W63 LIBRARY Michigan State University ‘ ABSTRACT ASSAYS FOR UDDER IRRITATION BASED UPON DEOXYRIBONUCLEIC ACID CONTENT OF MILK SOMATIC CELLS by.Max J. Paape A Michigan Mastitis Test (MMT) for udder irrita- tion was developed which produced results equivalent to the California Mastitis Test (CMT) and the Milk Quality Test (MOT). The MMT is an Open formula gelation test and the ingredients can be purchased and the reagent prepared with the aid of a pan balance. In the course of a study of milk leucocytes, the commonly used stains were found to be unsatisfactory be- cause background staining masked the leucocytes, or be- cause of a lack of nuclear-cytoplasmic resolution within the leucocytes. A pyronin Y - methyl green staining procedure was develOped which greatly improved the micro- scopic resolution of milk somatic cells. Furthermore, the pyronin Y - methyl green stain resulted in an approximate 25% reduction in smear variance and in an approximate 50% reduction in count variance when compared with Wright's stain. In View of the evidence that deoxyribonucleic acid (DNA) was the material reSponsible for the gelation in the CMT, MOT, and EMT reactions, the DNA-Specific Feulgen Max J. Paape reaction was modified, and was shown to be less variable than the MOT and more closely related to leucocyte numbers than the MOT. ASSAYS FOR UDDER IRRITATION BASED UPON DEOXYRIBONUCLEIC ACID CONTENT OF MILK SOMATIC CELLS BY Max J. Paape A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Dairy 1963 BIOGRAPHICAL SKETCH Max J. Paape was born at Port Chester, New York, on December 26, 1936. He received his elementary educa- tion in Our Lady of Mercy Parochial School, and was graduated from Port Chester Senior High School in June, 1954. In September, 1954, he enrolled at the Long Island Agricultural and Technical Institute, Farmingdale, New York, majoring in Animal Husbandry. He was graduated in June, 1956, with the degree of Applied Arts and Science. From September, 1956 to June 1959, he completed his undergraduate requirements leading to a Bachelor of Science in Agriculture Extension at Michigan State Univer- sity. In September, 1960, he enrolled in the graduate school of Michigan State University, Department of Dairy. He received the Master of Science degree in March, 1963. ii ACKN 03-91. ‘2‘ DG EMBIK'ST S The author wishes to express his gratitude and thanks to Prof. W. W. Snyder and Dr. H. D. Hafs for guidance and help in conducting this study. Their gene- rous assistance with the manuscript is greatly appreciated. The interest and assistance of Dr. H. Allen Tucker is also acknowledged. Most sincere appreciation is extended to Dr. M. J. Gordon for his very helpful direction and assistance in the formative part of this study. The author is grateful for the financial support provided by his parents, and by Michigan State Univer- sity through a Graduate Research Assistantship. Gratitude is extended to Dr. C. A. Lassiter, Chairman of the Department of Dairy, for making available the facilities and animals. The interest and encouragement shown by Sue Paape is appreciated. iii TABLE OF CONTENTS Page BIOGRAPHICAL SKETCH . . . . . . . . . . . . . . . . ii ACKNOWLEDGEMENTS . . . . . . . . . . . . . . . . . iii INTRODUCTION . . . . . . . . . . . . . . . . . . . 1 EXPERIMENT I. THE MICHIGAN MASTITIS TEST Review of Literature . . . . . . . . . . 2 Materials and Methods . . . . . . . . . . 4 Results and Discussion . . . . . . . . . . 6 EXPERIMENT II. THE EFFECTS OF DEOXYRIBONUCLEASE ON THE MILK GELATION TESTS Materials and Methods . . . . . . . . . . 10 Results and Discussion . . . . . . . . . . ll EXPERIMENT III. VARIATION OF ESTIMATED NUMBERS OF MILK SOMATIC CELLS STAINED WITH WRIGHT'S STAIN OR PYRONIN Y - METHYL GREEN STAIN Review of Literature . . . . . . . . . . . 12 Materials and Methods . . . . . . . . . . 14 Results and Discussion . . . . . . . . . . l6 EXPERIMENT IV. FEULGEN-DNA IN MILK AS A JEASURE OF UDDER IRRITATION Review of Literature . . . . . . . . . . . 22 Materials and Methods . . . . . . . . . . 23 Results and Discussion . . . . . . . . . . 26 SUMMARY . . . . . . . . . . . . . . . . . . . . . . 33 LITERATURE CITED . . . . . . . . o . . . . . . . . 37 APPQIDIX . O O O O O O O O O O C O O O 0 O O O C O O 41 LIST OF TABLES Page TABLE 1. Average CMT, MOT, and MMT gelation test scores and within sample standard deviations and co- efficients of variation . . . . . . . . . . . . 7 2. Average CMT and LMT gelation test scores and within sample standard deviations and coeffic- ients of variation . . . . . . . . . . . . . . 8 3. Averages and coefficients of variation for each milk cell classification with Wright's stain or pyronin Y - methyl green . . . . . . . l7 4. Level of significance (PI) for each measurable source of variation for each milk cell class— ification analysis . . . . . . . . . . . . . . 18 2 2 ) ham) and count (s czbm 5. Estimated smear (s variances for granulocytes and total cells in each stain . . . . . . . . . . . . . . . . . . l9 6. Expected 95% confidence intervals for a mean number of milk cells obtained from differing numbers of smears per milk sample and counts per smear . . . . . . . . . . . . . . . . . . . 21 7. Averages, coefficients of variation, and estimated smear (Szbsm) and count (Szcxbm) variances for each milk cell classification . . 27 8. Correlation coefficients between somatic cell numbers and Feulgen-DNA or MQT scores . . 28 LIST OF FIGURES FIGURE 1. Standard color chart for Feulgen-DNA test . 2. Relationship of concentration of total somatic cells to Feulgen-DNA score and to MOT score . . . . . . . . . . . . . . . . . 3. Regression of logarithm of average number of somatic cells (Y) on the logarithm of the coded Feulgen-DNA score (X) . . . . . . . . vi Page . 25 . 30 . 31 LIST OF APPENDICES Page APPENDIX Procedure I. Staining with Wright's stain . . . . 41 Procedure II. Method used in finding the area of a microsc0pic field . . . . 41 vii INTRODUCTION The term mastitis is defined as an inflammation of the tissues in the cow's udder or teats. Many methods have been suggested for the detection of udder inflammation based on Changes in the milk composition (lactose, chlorides, solids),pH, cell count, while other methods are based on the organisms involved. From the standpoint of reliability leucocyte counts are con- sidered the most accurate method of detecting mastitis (2, 36). Certain management practices such as the im- proper use of the milking machine will increase the leucocyte count of milk. If corrected in time mastitis could be prevented. One objection to most tests for mastitis is that they do not detect the condition in the early stages. The leucocyte count detects the condition mudh sooner than some of the other tests (2). The purpose of the researdh reported in this thesis was to develop several new methods for detecting udder irritation based upon the leucocyte numbers of milk. These methods are presented as four experiments with each experiment designed to study a Specific possib— ility of improving tests for mastitis. EXPERIMENT I. THE MICHIGAN MASTITIS TEST A review of the literature dealing with general mastitis tests and the gelation tests will be presented in this section of the thesis while the literature dealing specifically with the other tests for mastitis will be reviewed in the apprOpriate sections. Review of Literature Cole and Easterbrooks (13) observed a leukOpenia in dairy cows with acute mastitis. Similarly, Schalm (40) and Theilen gg_gl. (45) reported that a leucocytic res- ponse to mastitis is characterized by a rapid reduction of leucocytes in the blood as they move into the area of in- jury in the udder. Pattison g£_21. (35) found a predom- inance of leucocytes in the udders of goats infected with Streptococcus agalactiae: Hughes (19) showed that a high cell count was associated with inflammed quarters. McFarlane g2_gl. (28) and Chu (12) concluded that high cell counts were an indication of mastitis. Furthermore, it has been shown by many workers, Barnum and Newbould (4), Jensen (21), Leidl and Schalm (24), Leidl et a1. (25), and Schalm (41), that the California Mastitis Test (GMT) (42) and the Milk Quality Test (MOT) (34) reactions, used so widely by dairymen and by veterinarians, are indirect measures of the concentration of leucocytes in the milk. Both the CMT and MQT have received widespread acceptance for field diagnosis of mastitis. Albright (1) describes the use of the GMT as an effective tool in a herd management mastitis control program. In California (38, 39) the GMT is currently being applied to about 80,000 cows each month. Reports by Jackson (20), McKay (30), and Steere (43) indicate favorable results by using the GMT in mastitis control programs. Marshall and Edmondson (29) suggested that the GMT can be of great value to the practitioner in his evaluation of the herd mastitis situation. Barnum (3) sug- gested that when the CMT is applied at monthly intervals it is possible to determine the infection status of each quarter. He also presented evidence to indicate that quarters infected with Streptococcus agalactiae, Staphylococcus aureus, or other organisms that produce a chronic infection, consistently show a positive GMT re- action. Furthermore, he suggested that the GMT be employ- ed as a screening test when introducing new cows into a herd, and that a negative GMT on all quarters of a milk cow is a reasonable criterion for the animal's introduc- tion into the milking herd. The GMT has also been used as a quality test for milk samples collected from bulk tanks. Temple and Haller (44) have shown that GMT scores were lower on bulk milk for those herds enrolled in the New York mastitis control program. Leidl and Schalm (24) suggested using the GMT 4 on bulk tank samples to detect the majority of the herds which produce abnormal milk. Gray and Schalm (15) report that a reduction of bulk milk scores to negative values could lead to an increase of 14 to 20% in milk production, as well as a significant improvement in the quality of milk. Holt (18) reported that one might eXpect an in- crease in butterfat production through the prOper use of the GMT. This evidence indicates that the GMT and MQT have an important place in a mastitis control program. However, the cost of the GMT and the MQT reagents may be a deter- rent to their more extensive use. A less expensive re- agent may encourage a more effective mastitis control program because more dairymen would participate. The purpose of this experiment was to develOp an Open formula gelation test for mastitis similar in reaction to the closed formula GMT and MQT, and to present statistical evidence to determine if there was any difference in the results obtained when using these three reagents. Materials and Methods The Open formula gelation test, hereafter called the Michigan Mastitis Test (MMT), was prepared.by diluting 19.0 g of sodium alkylarylsulfonatel, 13.5 g of sodium hydroxide1 (analytical reagent), and 1.5 g of methylene 1 Available from Fisher Scientific Co., 1458 N. Lamon Ave., Chicago 51, Illinois. 5 blue Chloride to one gallon (3,785 ml) in softened tap water. These reagents were mixed to obtain complete dis- solution. Ninety—one milk samples, each consisting of about 30 m1 of foremilk, were obtained daily over a period of two weeks from.Holstein cows in various stages of lact- ation. The samples were immediately tested in duplicate using the CMT,.MQT, and MMT within 30 minutes after the milk was obtained. The GMT and NOT procedures were per- formed by adding 3.50 ml of reagent to 3.00 ml of milk in a paddle and scoring the degree of gelation according to the manufacturer's recommendation, except that gelation scores of 0, 1, 2, 3, and 4 were substituted for 0, T, l, 2, and 3, respectively, to facilitate statistical analysis. The procedure employed for the MMT was identical except that the MMT solution was used in place of the GMT or MST test reagents. In a second trial, which was designed to determine whether or not more readily available reagents could be substituted for those in the MMT solution, 52 foremilk samples were tested in duplicate with GMT and with a Lye Mastitis Test solution, hereafter called LMT. This LMT solution was prepared by diluting 2.5 level teaspoons (13.5 g) of lye2 and four level teaSpoons (19 g) of liquid 2 Red Seal, high test Lyons New Flake Lye. Active ingredients: 96% NaOH, 2% Sodium Carbonate, and 2% inert ingredients. detergent1 in one gallon of soft tap water. After gentle mixing to dissolve the lye, the solution was allowed to stand for 24 hours to permit clearing. The clear portion was then decanted into another container with care to avoid remixing the settled out impurities, which were discarded. One level teaspoon (6 g) of navy blue dye2 was added to the clear test solution to produce the de- sired color. Results and Discussion The average scores for 91 milk samples in the initial experiment are shown in Table l with the within sample standard deviations and coefficients of variation. The average scores for the GMT, MQT, and MMT do not differ significantly (P7>.50). Although the use of the MMT resulted in lower total and relative variables, the differences among the standard deviations and among the coefficients of variation for the three tests are small relative to the average variabilities. The correlation of the average scores of GMT with MQT was 0.975: of GMT with MMT, 0.962: and of MQT with MMT 0.969. Each of these correlation coefficients were highly significant (P (.001). 1 Swan liquid detergent. 2 Rit tints and dyes, navy blue 30. 7 TABLE 1 Average GMT, MOT, and MMT gelation test scores and with- in sample standard deviations and coefficients of variation -k .___. we .. Within Sam 1e TeSt Average Standard Coeffic- . gelation deviation ient of scores variation California Mastitis Test (GMT) 1.68 0.33 20% Milk Quality Test (MOT) 1.76 0.38 21% Michigan Mastitis Test MMT) 1.81 0.32 18% Average 1.75 0.34 20% This statistical evidence demonstrates that little difference exists among the test scores obtained from the three tests employed, and that a choice among them may be made based upon other factors such as personal preference, availability of reagents, or cost. The MMT solution may be made with a substantial reduction in cost. On the other hand, prepared MOT and GMT solutions may be more practical for those with no facilities for accurate weighing. Since the Methylene Blue Chloride simply serves to make the milk gel more visible, other coal tar dyes may be used in its place at the discretion of the user. In fact, when the test procedure was performed in black bakelite jar lids, no color additive was necessary because the milk itself provided adequate contrast with the dark background. 8 In the second trial, the average test score for 1T was 1.72 which was not significantly different (P > .50) from the 1.77 score for LMT. The within sample standardxhviations were 0.22 and 0.36, and the coefficients of variation were 13% and 20%, reSpectively, for the GMT and the LMT. Although these measures showed greater vari- ability between duplicate LMT determinations, the differ- ences were relatively small for most practical purposes. The correlation between GMT and LMT score was 0.951 (P < .001) . The data from the second trial demonstrate that one has considerable flexibility in the grade and source of reagents used in preparing the milk gelation test solu- tions. Undoubtedly, many other readily available brands of lye and detergents could perform equally well, al- though they were not included in this experiment. In any event, the test solution for the LMT was prepared at a TABLE 2 Average GMT and LMT gelation test scores and within sample standard deviations and coefficients of variation Within sample Test AZIriign Standard Coeffic- geoges deviation ients of variation California Mastitis Test (GMT) 1.72 0.22 13% Lye Mastitis Test (LM'I‘) 1.77 0.36 20% 9 small fraction of the cost of the GMT and MOT test solu- tions. Furthermore, the procedure for preparing the LMT solution is simple, the ingredients are readily available, and the equipment used in preparing the test solution is present in most households. EXPERIMENT II. THE EFFECTS OF DEOXYRIBONUCLEASE ON THE MILK GELATION TESTS FOR MASTITIS The gelation of the GMT, MOT, and MM were remin- iscent of the behavior of deoxyribonucleic acid (DYA) in solution. The present experiment was designed to test the hypothesis that DNA of milk somatic cells was the material reSponsible for the gels. Materials and Methods A deoxyribonuclease (DNAse)1 solution was prepared by dissolving 2 mg of DNAse in 2 ml of 0.008 molar ace- tate buffer and 0.025 molar MgCl2 (pH 4.6). The gels to be tested were obtained by adding the GMT, MOT, or MMT reagents to a known mastitic milk sample and then centrifuging for 15 minutes at 26,000 gravities. After centrifugation, the gels were removed and each divid- ed into approximately two equal portions and placed in individual glass petri dishes. The pH of the gels was 11.5 and was adjusted to 5.3 by the addition of 6 N HCl. One-hundredth ml of the DNAse solution was then added to one portion of each sample and 0.01 ml of distilled water to the other portion (control). According to the Worthington Biochemical Corp., from whom the enzyme was 1 Worthington DNAse II. 10 ll purchased, the DNAse shows optimum activity at this lower pH. The pH was then adjusted to the original pH of 11.5 by the addition of one drop of 6 N NaOH. The trial was repeated for six different mastitic milk samples. Results and Discussion No gelation recurred in the DNAse treated sample, but a heavy gel recurred in the control sample after elevation of the H to 11.5. The same results were ob- served for each of the six different mastitic milk samples. The addition of trypsinl, pepsinz, proteinase3, papain4, and DNAse5 had no effect on the viscosity of the gels as measured by viscometers. These findings and the enzymatic specificity of DNAse for DNA indicated that DNA of milk somatic cells was reSponsible for the gel in the gelation tests. Since this work has been completed similar find- ings have been reported by Caroll and Schalm (10) for the CMT . Worthington Biochemical Corp. General Biochemicals Corp. Nutritional Biochemicals Corp. Fisher Scientific Co. Worthington Biochemical Corp. EXPERIMENT III. VARIATION OF ESTIMATED NUMBERS OF MILK SOMATIC CELLS STAINED WITH WRIGHT'S STAIN OR PYRONIN Y - METHYL GREEN STAIN Review of Literature Several researchers Guallini & Leali (16), Guallini & Vallis (l7), and Varrier-Jones (46) have at- tempted to make differential counts of the leucocytes in milk as an indication of mastitis. Macadam (27) concluded that the pr0portion of granulocytes usually exceeded 70% of the total cells from acutely infected quarters, where- as it was usually less than 40% during mammary involution. Blackburn gg_gl. (5) indicated that milk samples with a low total cell count generally contain less than 45% granulocytes and claimed that the differential cell count is a valuable criterion to confirm the conclusions drawn from the results of a total cell count, eSpecially Where doubts arise owing to the presence of bacteria in the milk. Because of the opacity of milk, it is necessary to stain the leucocytes before microscopic observation. In the course of a study of milk leucocytes in the authorS' laboratory, the commonly used stains such as Wright's (48), Newman's (33), Newman Modification (26), Broadhurst-Paley (9) and its modification (11) were used and found to be unsatisfactory because background staining masked the leucocytes, or because of a lack of nuclear-cytoplasmic 12 13 resolution within the leucocytes. The results of the previous experiment showed that the GMT, MOT, and MMT gelation reactions were due to the DNA in the milk somatic cells. This fact indicated that a staining procedure Specific for nucleic acid would be preferable to the previously used stains because the background would not be eXpected to take appreciable quantities of stain. Brachet (6, 7, 8) has shown that the stain methyl green is specific for DNA and that pyronin Y is specific for ribonucleic acid (RNA). Kaufmann (23), using a staining mixture composed of methyl green and pyronin Y, found that Chromosomes stain blue-lavender, whereas nucleoli and RNA-containing cytOplasmic particles stain red. Preliminary investigations in the author's labor- atory indicated that the pyronin Y - methyl green stain resulted in considerably improved microscopic resolution of milk somatic cells. The backgrounds of smears stained with pyronin Y - methyl green were clear with a light lavender mottling. The cytOplasm of epithelial cells con- tained large quantities of pyronin Y-positive material, whereas agranulocytes contained small quantities and granulocytes contained none. The purpose of this experiment was to compare the variation of estimated numbers of somatic cells in milk stained with pyronin Y - methyl green with that of cells stained with Wright's stain. 14 Materials and Methods A milk sample was obtained from each of 27 Holstein cows in various stages of lactation. Fourteen of these cows were considered to have mastitis, based upon GMT observations. Within 30 minutes after obtaining the samples, four smears were prepared from each milk sample by the direct-smear method of Prescott and Breed (37), which consisted of transferring 0.01 ml of milk in a stan- dard platinum loop to a microscope slide and distributing the milk over one square centimeter. The smears were stained with Wright's stain according to the procedure out- lined by Schalm (41) (Appendix, Procedure I). The remain- ing two smears were stained with pyronin Y - methyl green stain according to the following procedures: a) Fix in Carnoy's for ten minutes. b) Hydrate for two minutes each in 50% ethyl alcohol, 30% ethyl alcohol, and distilled water. c) Stain for six minutes in a freshly prepared solution of 0.50% pyronin Y (National Analine) and 0.30% methyl green (National Analine) in distilled water. d) Immerse for three minutes in eaCh of two changes of N-butyl alcohol. e) Clear for three minutes in each of two changes of xylol. 15 f) Mount in 50% piccolyte dissolved in xylol. After preparation, the smears were microsc0pically examined, using immersion oil, by a person who was un- aware of the identity of the smear. The diameter of a microsc0pe field was 0.178 mm, resulting in about 4,000 fields per smear (Appendix, Procedure II). The number of somatic cells per ml of each milk sample was estimated from the number in 25 fields randomly chosen from a smear and multiplied by 16,000. This constituted a count. The number of agranulocytes, granulocytes, leucocytes (the sum of agranulocytes and granulocytes), epithelial cells, and total somatic cells (the sum of leucocytes and epi- thelial cells) was determined in duplicate for each smear. Five identical analyses of variance, one for each of the cell classifications, considered the following sources of variation: milk samples, stains, smears, counts, and an interaction between samples and stains. Samples were considered to be random and factorial, and stains to be fixed and factorial. Smears were considered to be random and nested within samples and stains, and counts to be random and nested within smears. To compare the variation of determinations of cell numbers within each of the two staining procedures, the variance of duplicate smears and of duplicate counts were estimated for each stain for the number of total cells and the number of granulocytes. These variances were used to estimate the standard errors of determinations of 16 mean cell numbers for future milk samples with varying numbers of smears per sample and counts per smear, as shown in the following formula: 2 2 S bsm + S cxbm 521‘s— @552) where 32b:m is the smear variance, 32 czbm is the count variance, nb is the number of smears per sample, and nC is the number of counts per smear. The standard errors were then used to predict the 95% confidence intervals for determinations of mean cell numbers as follows: 95% confidence interval = (2) (t.05) (sx), where t.05 has nbnc-l degrees of freedom. Similar calcu- lations were not made for the other three cell classifica- tions because they have not been extensively used in mastitis research. Results and Discussion The average number of cells for each of the five cell classifications as determined after staining with Wright's stain or with pyronin Y - methyl green are list- ed in Table 3 with their correSponding coefficients of variation. The coefficients of variation were determined by taking the square root of the sum of the estimated smear and count variances and dividing by the mean. The milk sample variance was excluded from these estimates because the samples included in the present experiment 17 would not necessarily be representative of those chosen for a future eXperiment where, for example, one may begin with either infected cows or cows with no history of mastitis. Consequently, the coefficients of variation in Table 3 are minimal estimates. A summary of the prob- abilities (pI's) obtained in the analysis of variance for eaCh of the five cell classifications is presented in Tafle4. TABLE 3 Averages and coefficients of variation for each milk cell classification with Wright's stain or pyronin Y - methyl green Cell classification Wright's stain Pyronin Y - methyl green E C.V. i C.V. (x 104) (96) (x 104) (as) Agranulocytes 8 62 15 100 Granulocytes 306 58 344 41 Leucocytes 314 57 359 41 Epithelial cells 64 33 63 30 Total cells 378 49 422 36 The number of cells determined in smears stained with pyronin Y - methyl green was considerably larger than that determined in smears stained with Wright's stain for agranulocytes (P’5 .13), granulocytes (P’5 .07), leucocytes (Pg .03), and total cells (P‘3 .03), but not for epi- thelial cells (P'g'.50). Apparently, the epithelial cells' 18 are equally recognizable in the two stains, a conclusion which is supported by the similarity of the coefficients of variation of epithelial cell counts. In contrast, these data suggest that a considerable portion of the leucocytes was masked by the background of those smears prepared with Wright's stain. Since the interaction be- tween samples and stains did not approach significance for granulocytes, leucocytes, or total cells, we may con- clude that where these cells are of primary importance one may expect to obtain larger cell numbers in most milk samples when the cells are stained with pyronin Y - methyl green. TABLE 4 Level of significance (P ) for each measurable source of variation for each mil cell classification analysis. Cell classification Source Degrees of of Agranul- Granul- Leuco- Epithe- Total variation freedom ocytes ocytes cytes lial cells cells Milk sample 26 .01 .01 .01 .01 .01 Stain 1 g .13 ”X .07 91.03 .50 ’=" .03 Interaction 26 .01 .50 .50 :1: .16 .50 Breed smears 54 .01 .01 .01 .01 .01 g'Approximately equal to As expected, milk samples differed significantly for each of the five cell classifications. However, duplicate smears also differed significantly (P‘(.01) in 19 each analysis, a result that was not anticipated in view of the Opinions of Blackburn §E_al. (5), McKenzie (31), Meigs gg_gl. (32), and Waite & Blackburn (47) that the "Breed“ smear method gave very consistent results. Estimated smear and count variances for both stains are shown in Table 5 for granulocytes and for total cells. Although, asshown above, significantly more cells were counted in the pyronin Y - methyl green stain, this stain resulted in an approximately 25% reduction in the variance between duplicate smears and in an approx- imate 50% reduction in the variance between duplicate counts when compared with Wright's stain. Also, the fact that the smear variance is at least two to four times larger than the count variance suggests that some major errors are inherent in the smear technique used. For in- stance, the use of a platinum wire lOOp to deliver 0.01 ml of milk could be a major source of variation contributing to the large smear variance. Tmmss Estimated smear ($2. ) and count (52 ) variances for oxm csbm granulocytes and total cells in milk stained with Wright's stain or pyronin Y - Methyl Green .__._.- _, __ _. -_____._ ». -_._._. ————._ _ .- - _ -___.__ -,__ _,. 1.“... ___{_3__ a... 2 _-1_, - _- _- __ , Variance Wri9ht s stain Pyronin Y Methyl Green Component Granulocytes Total cells Granulocytes Total cells (x 108) szb‘m 22,702 25,191 16,152 19,580 32c:bm 9,241 9,883 4,003 3,975 20 Expected 9 % confidence intervals for mean numbers of milk somatic cells which are obtained from varying numbers of smears and counts are tabulated in Table 6. If one count on the total cells is made on each of two smears from a milk sample, the eXpected 95% confidence interval is 3,354 x 104. In other words, in about 95 out of 100 such observations,/4 will be within the range R : 1,677 x 104. This range is far too large, because most researChers agree that milk with 50 x 104 to 100 x 104 cells per ml is mastitis positive (22, 36). Although inspection of Table 6 reveals somewhat smaller values for the pyronin Y - methyl green stain, the differences between the stains are small relative to the magnitude of the confidence intervals. Furthermore, these data show that the number of smears has more influ- ence on the magnitudes of the confidence intervals than does the number of counts. If one were to make an infin— ate number of counts of total cells on only one smear with Wright's stain, the 95% confidence interval would be about 623 x 104, indicating that elimination of the count variance does not bring the interval close to the import- ant value of 50 x 104 cells. Consequently, it may be generalized that one should make upwards of 200 smears from a milk sample in order to obtain a 95% confidence interval of about 50 x 104. In view of this evidence, it appears that the magnitude of the error variance must be reduced before 21 TABLE 6 Expected 95% confidence intervals for a mean number of milk cells obtained from differing numbers of smears per milk sample and counts per smear -— ..._._. _ ,-, -7 Wm— _ ‘._.~ -,__1..._“ —-——-.——-—’ ._.__.—. .— Numbers of Number of wright's stain Pyronin Y ' Methyl counts smears per Granul- Total Granul-Greegotal per smear milk sample ocytes cells ocytes cell§__ (x 104) l 2 3,202 3,354 2,542 2,770 5 444 466 356 384 20 168 176 134 142 200 52 52 40 44 10 2 456 478 380 418 5 278 290 230 254 20 134 142 114 126 200 44 44 36 40 estimations of milk cell numbers can be considered to be a practical indicator of the inflammatory state of the udder. One possible method of reducing the magnitude of the error variance would be to deliver the 0.01 ml volume of milk with a ten-lambda pipette, which would be eXpected to result in a reduced smear variance. EXPERIMENT IV. FEULGEN-DNA IN MILK AS A MEASURE OF UDDER IRRITATION Review of Literature Babel (2) and Plastridge (36) state that leucocyte counts are generally regarded as being superior to other laboratory tests for diagnosing inflammation of the mammary gland. However, the previous experiment demonstrated that present methods for direct microsc0pic estimations of leucocyte numbers have serious limitations. Also, in View of the evidence presented in experiment II showing that DNA was the material reSponsible for the GMT reaction, it seemed likely that one of the standard DNA tests would also be useful for the detection of udder irritation. The Feulgen nuclear reaction is commonly used as a histochemical test for DNA. The reaction was introduced by Feulgen and Rossenbeck (14) as a Specific test for DNA and is dependent on the release of aldehyde groups from the deoxypentose sugar of DNA by acid hydrolysis with l N HGl at 60°C. The exposed aldehyde groups then re- act with the Schiff's reagent to produce a color reaction at the site of any DNA present. Such a reaction could be easily standardized and would therefore be more objective than the GMT. The purpose of this experiment was to adapt the Feulgen-DNA test to milk and to determine its relation- ship to the concentration of somatic cells in milk. 22 23 Materials and Methods Seventy-five milk samples were obtained from Holstein cows in various stages of lactation. Duplicate Feulgen-DNA and duplicate MQT determinations were perform- ed as an indication of the milk somatic cell concentra- tion within 30 minutes after obtaining the milk sample. The MOT was used as previously described. Milk samples were selected at random until 15 were obtained for each MOT score. Feulgen-DNA determinations were performed according to the following procedure: a) Each milk sample (2 ml) was hydrolyzed with an equal amount of 1 N BCl at 600 for 24 minutes. b) Schiff's reagent was then added in an amount equal to twice the volume of milk. Schiff's reagent was prepared by dissolving 1.00 g of basic Fuchsinl in 200 ml boiling distilled water, cooling to 50° 0. adding 20 ml of 1 N HCl, colling to 240 C, and dissolving 2.00 g of sodium metabisulfite. This solution was stor- ed in the dark for 10-15 hrs and then 0.5 g activated charcoal was added, the mixture stir- red for one minute, and rapidly filtered 1 National Aniline 0.1. No. 42500. 24 through Whatman No. 1 paper. The filtrate should be stored in a full, well-stOppered, dark bottle at 50 C. The solution should be colorless; deveIOpment of a pink color indi- cates that it must be discarded. c) Thirty minutes was allowed for color develop- ment. d) The degree of inflammation was scored by comparing the color intensity of the treated milk sample with a standard color chart similar to the one shown in Fig. 1.1 Two smears were prepared from each of the 75 milk samples by the direct smear method of Prescott and Breed (37). The previous experiment on the direct microscopic estimation of number of somatic cells in milk, using a standard platinum loop in conjunction with the "Breed" smear, showed that duplicate smears were highly variable. In an attempt to reduce this error in the present experi- ment, a lO-lambda pipette was used in place of the plati- num 100p to transfer the milk to the microsc0pe slides. Between samples the pipette was washed in detergent, rinsed with water, acetone, then dried with forced air. The smears were air-dried on a level surface for 24 hours and then stained with pyronin Y - methyl green by the pro- cedure described in experiment III. The concentration 1 request. A standard color chart is available upon COLOR STANDARD FOR FEULGEN-DNA IN MILK Department of Dairy MICHIGAN STATE UNIVERSITY East Lansing, Michigan '0 "1 - i}:\'\/Il a --.’° :6 :g’" I.‘ 3:", Jul Jigfitfafi " r‘V-T u}, — 7, Uri: ‘ , I‘ 4 sxrfi" ’ ' “’, . ’ .'“ ‘.9tt“’$q‘yfi 7‘ ' ‘0 L7 *4 '41 I *4. .' r14 ' ’In " . .J:.);..:.. 4.._ an n 1.45"“. 3 l l I Directions for Use Cut one half-inch hole in each color black. Mount chart in clear plastic folder. (I) (2) Move sample behind color blocks to match color. To score (3) Standard color chart for Feulgen-DNA test Figure 1. 26 of somatic cells per milliliter of each milk sample was estimated from the number in 25 microsc0pic fields. The number of agranulocytes, granulocytes, leucocytes (the sum of agranulocytes and granulocytes), epithelial cells, and total somatic cells (the sum of leucocytes and epi- thelial cells) were determined on two smears from each milk sample by each of two persons who were unaware of the identity of the smears. Results and Discussion The correlation of Feulgen—DNA score with MOT score was 0.907 (P<(.Ol). The standard deviation of duplicate Feulgen-DNA scores was 0.114, considerably less than the 0.230 for duplicate MQT scores. The coefficients of variation were 7 and 12% for Feulgen-DNA and MQT scores, reapectively. The average numbers of cells for each of the five cell classifications are listed in Table 7 with their corresponding coefficients of variation. The coefficients of variation were determined by taking the square root of the sum of the smear and count variances and dividing by the mean, for the reasons outlined in experiment III. These values were generally lower than those in Table 3 from slides prepared by means of a platinum loop, but were much'higher than the value of 0.114 for duplicate Feulgen- DNA scores. 27 Each of the estimated variances for duplicate smears (szb‘m) was negative, and since negative variances are not possible these values are considered to be esti- mates of parameters which are very close to or equal to zero. These results were in direct contrast to the re- sults of experiment III in which the smear variance accounted for at least two-thirds of the total within sample error. The reduced smear variation in the present experiment was probably due to the use of a lO-lambda pipette to transfer milk to microsc0pe slides. The esti- mated variances for duplicate counts (52 ) in the csbm present experiment were two to three times larger than those in experiment III, probably because one person made TABLE 7 Averages, coefficients of variation, and estimated smear (Szbzm) and count (s2 ) variances for each milk cell clgngfication Cell classification - CV s2 2 brm cxbm (x 104) (as) (x 108) Agranulocytes 24 83 -266 666 Granulocytes 254 34 -544 7,882 Leucocytes 278 33 -l,866 10,434 Epithelial cells 72 40 -79 942 Total cells 350 32 -l,667 13,829 28 the duplicate counts in the earlier eXperiment, whereas in the present experiment, a count was made on each smear by each of two persons. In other words, count variance included person to person variance in the present experi- ment. The correlations of the estimated number of each cell type with Feulgen-DNA score and with MOT score are tabulated in Table 8. Each of these correlations was sig- nificant (P<(.01) and those for the relationship of Feulgen-DNA with cell numbers were consistently higher than those for MOT and cell numbers. However, the high- est correlation of 0.876 between Feulgen score and total cells accounts for only 77% of the total variation, indi- cating that these relationships are low for prediction purposes. Correlation coefficients between somatic cell numbers and Feulgen—DNA or MOT scores —.——_- "1.. _ -,,_ _ _ _ -______ __ __ __ —— —. . _, —. ‘__.‘. ,___'_ __. — - — —— -- ——— ¢ell classification Feulgen-DNA score MOT score Agranulocytes .805 .769 Granulocytes .814 .730 Leucocytes .834 .751 Epithelial cells .816 .790 Total cells .876 .799 29 Feulgen-DNA and MOT scores were plotted against the estimated number of total somatic cells per milliliter of milk, resulting in the curves shown in Figure 2. Since these relationships were not linear, an attempt was made to create a linear relationship by logarithmic transform- ation of Feulgen-DNA scores and total somatic cell numbers. It was necessary to code the Feulgen scores by adding the number one to each score to eliminate the score of zero. The curve resulting from a double logarithmic transforma- tion of the codeddata is illustrated in Figure 3. The relationship between MOT scores and cell numbers was not transformed because of the subjectivity of the MOT scores. Although MOT scores are quite repeat- able within a single person at any given time, they are much more variable between people because there is no standard for eadh score. This lack of objectivity limits the value of MOT in the prediction of cell numbers. The correlation between logarithms of coded Feulgen-DNA scores and logarithms of estimated numbers of total somatic cells was 0.909 (P*<.Ol), a value which, although higher than that for the non-transformed data, accounts for only 83% of the total variation. Neverthe- less, the regression equation shown in Figure 3 should be useful for estimating total somatic cell numbers from Feulgen-DNA score. In view of the high variation (C.V.= 32%) associated with microsc0pic estimations of total 30 38008 NBS-IDEA whoom BOX 09 odd ouoow «zmusomfismm op wHHoo ofipmsow Haven mo cowpmnpcoocoo no afinmsowpwamm .m onswwm 3.2 can fo. xv 330 2:28 00m. 000. com a a i in a _ LII IA L Li a q a 4i 4 — Yln N T m” T. zwomnwm ' v has. n I 38008 10w _ . . . .-~ q L‘u“°.‘.fl 1 .. -Q " ‘v 31 38008 N39303:! Cs onoon addressee soaoo one .3 55,212 9.3 so C; mmaoo empress mo songs: owmpog mo .Efiwnmloa mo comanmpmox .n whims. A: 1:2 mud foo. xv mujmo Orr/“Sow do .02 mo< 5.: “.0 00.. O.m ON 0.. 9. \\.. had + XOOM new Nd Md 0.0 0.0 Nd md (X) 38003 N39103:.I 03000 3H130 90‘l 32 cell numbers, this regression equation may be at least as accurate in estimating milk cell numbers as micrOSCOpic estimations in the manner routinely performed in most laboratories. The colors in Figure 1 were selected from a large number of possibilities which ranged from white to the most dense color shown in Figure l. The selection of the colors was arbitrary since it was based upon the ability to distinguish small differences in the intensity of this color. A preferable procedure, which would eliminate all subjectivity, would.be to measure the intensity of the color of the Feulgen-treated milk samples by reflectance Spectrophotometry. Although such a procedure would be ex- pected to be more reliable, it would be more costly than the Feulgen scoring procedure used to obtain the Feulgen- DNA data in this experiment. SUMMARY An Open formula gelation test for mastitis, the Michigan Mastitis Test (MMT), was develOped which produced results equivalent to the GMT and MOT. In addition, the MMT ingredients can be purchased, and the reagent prep- ared with the aid of a pan balance. The average test scores for 91 samples of milk tested in duplicate with GMT, MOT, and MMT were 1.68, 1.76, and 1.81, respectively. The comparable within sample standard deviations were 0.33, 0.38, and 0.32, respectively. These data indicated that the results of the three tests are essentially equiv- alent and that one may choose among them on a basis of cost, availability, or personal preference. In an effort to make the EMT open formula test solution more practical to prepare, a test solution was prepared using ingredients that are readily available. This test solution may be prepared with the equipment available in most households. Although the results of the use of this test were someWhat more variable than those for GMT, they demonstrate that one has considerable flexibility regarding the source and quality or purity of the ingredients of the test solutions employed in the mastitis gelation tests. Since the gelation of the GMT, MOT, and EMT was reminiscent of the behavior of DEA, DfiAse was added to 33 34 the gels with the result that the gels disappeared, indi- cating DNA was reSponsible for the gels.' In the course of a study of milk leucocytes, the commonly used stains were found to be unsatisfactory be- cause background staining masked the leucocytes, or because of a lack of nuclear-cytOplasmic resolution within the leucocytes. In view of the evidence that DEA was the material responsible for the gelation in the GMT, MOT, and MMT, and since leucocytes are the primary source of nucleic acids in milk, he nucleic acid-specific stain pyronin Y - methyl green resulted in considerably improved microsc0pic resolution of milk somatic cells. To compare the variation of estimated numbers of somatic cells in milk, four "Breed" smears were made from each of 27 milk samples, including 14 mastitic samples. Two smears were stained with Wright's stain and two with pyronin Y - methyl green stain. The average (x 104) obtained from duplicate determinations of agranulocytes, granulocytes, leucocytes, epithelial cells, and total somatic cells were 8,306, 314, 64, and 378, respectively, for Wright's stain: and 15, 344, 359, 63, and 422, res- pectively, for pyronin Y - methyl green stain. Although the epithelial cells were equally recognizable in the two stains, a considerable portion of the leucocytes were masked by the background of the smears prepared with Ziiright' s stain. 35 The pyronin Y - methyl green stain resulted in an approximate 25% reduction in smear variance and in an approximate 50% reduction in count variance when compared with Wright's stain. Expected 95% confidence intervals for determinations of mean cell numbers were computed from the estimated variance components with varying numbers of smears and counts. These values generally in- dicated that one should make upwards of 200 smears from a milk sample to obtain a 95% confidence interval of approx- imately 50 x 104 cells per ml of milk, a result leading to the conclusion that the magnitude of the error variance must be reduced before estimations of milk cell numbers can be considered to be a practical indicator of the in- flammatory state of the udder. In view of the evidence that DNA was the material responsible for the gelations in the GMT, MOT, and MMT reactions the Feulgen-DNA test was modified as follows: A milk sample was hydrolyzed with an equal amount of l N HGl at 600 G for 24 minutes. Schiff's reagent was then added in an amount equal to twice the volume of milk. Maximum color deve10pment occurred within 30 minutes after the addition of Schiff's reagent. The developed color was compared with a color chart Which contained seven colors, corresponding to seven possible scores for udder inflammation. To determine the reliability of the Feulgen-DEA test in estimation of the concentration of milk somatic cells, duplicate MOT's were made for each of 75 milk samples. Milk somatic cell concentrations were determined in duplicate from "Breed“ smears after transferring milk to each of two micrOSCOpe slides with a lO-lambda pip- ette and staining the smears with pyronin Y - methyl green stain. The correlation of the number of each cell type with Feulgen-DNA score was consistently higher than with MOT score, but the highest correlation of 0.876 between Feulgen-DNA score and total somatic cell numbers account- ed for only 77% of the total variation. Plotting the ob- served values revealed a curvilinear relationship, Which became linear when both variables were transformed to logarithms. The correlation of the logarithm of the coded Feulgen-DNA scores with numbers of total somatic cells was 0.909, including that Feulgen-DNA has practical value in the estimation of somatic cell numbers in milk. The coefficient of variation for Feulgen-DNA scores was 7%, mudh less than the 32% for the microscopic estimations of somatic cell concentration, indicating that the Feulgen-DNA socres may be at least as accurate in estimating milk cell numbers as microscopic estimations. (l) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) LITERATURE CITED Albright, J. L. Herd Management in Los Angeles County Commercial Dairies. J. Dairy Sci., 43:1696. 1960. Babel, F. J. Problems of the Dairy Bacteriologist Resulting from Mastitis. J. Am. Vet. Med. Assoc. 133:161. 1958. Barnum, D. A. A Method for the Control of Staphlycoccal and Streptococcal Mastitis in Ontario. Can. Vet. J. 3:161. 1962. Barnum, D. A., and Newbould, F. H. s. The Use of the California Mastitis Test for the Detection of Bovine Mastitis. Can. Vet. J., 2:83. 1961. Blackburn, P. 8., Laing, G. M., and Malcolm, D. F. A Comparison of the Diagnostic Value of the Total and Differential Cell Counts of Bovine Milk. J. Dairy Researdh, 22:37. 1955. Brachet, J. c. R. Soc. Biol., Paris, 133:88. 1940. (Cited by Pearse, A. G. E., Histochemistry Theo- retical and Applied, 2nd ed., p. 205, 1960. Little, Brown & Co., Boston, 1961). Brachet, J. La Localisation des Acides Pentosenucl- eiques dans les Tissus Animaux et les Oeufs d'Amphib- iens en Voie de Developpement. Arch. 8101., 53:207. 1942. Brachet, J. Chemical Embryology, 2nd ed., Inter- science Publishers, Inc., New York, 1950. Broadhurst, J., and Paley C. A Single-Dip Stain for the Direct Examination of Milk. J. Am. Vet. Med. Assoc., 94:525. 1939. Carroll, E. J., and Schalm, O. W. Effect of Deoxy- ribonuclease on the California Test for Mastitis, J. Dairy Sci., 45:1094. 1962. Charlett, S. M. An Improved Staining Method for the Direct Microsc0pical Counting of Bacteria in Milk. Dairy Industry, 19:652. 1954. Chu, S. J. Bovine Mastitis: A Comparison of the Value of Diagnostic Methods. J. Comp. Pathol. Therap., 59:81. 1949. 37 (l3) (14) (15) (l6) (17) (18) (19) (20) (21) (22) (23) (24) Cole, E. J., and Easterbrooks, H. L. LeukOpenia Associated with Acute Bovine Mastitis. J. Am. Vet. Med. Assoc., 133:163. 1958. Feulgen, R., and Rossenbeck. H. MikroskOpish- Chemischer Nachweis einer Nucleinsaure vom Typus der Thymonucleinsaure und die darauf beruhrende elektive Farbung von Zellkernen in mikroskopischen Praparaten, HOppe-Seyler's Ztschr. f. Physiol. Chemie., 135:203. 1924. Gray, D. M., and Schalm, O. W. Interpretation of the California Mastitis Test Results on Milk from Indi- vidual Mammary Quarters, Bucket Milk and Bulk Herd Milk. J. Am. Vet. Med. Assoc., 136:195. 1960. Guallini, L., and Leali, L. Differential Cell Pic- ture of Milk from Cows with Mastitis. Part II. Arch. Vet. Italiano, 10:1. 1959. Guallini, L., and Vallis, P. Differential Cell Picture of Milk from Cows with Mastitis. Part I. Arch. Vet. Italiano, 8:575. 1959. Holt, D. Mastitis Can Be Licked Now. Hoards Dairy- man. March 10, p. 231. 1959. Hughes, D. L. Some Reflections on the Mastitis Problem. Vet. Record, 66:235. 1954. Jackson, R. A. A Practical Mastitis Control Program. Vet. Med., 56:143. 1961. Jensen, P. T. Investigations into the Whiteside- Test and the C.M.T.-Test for the Detection of Patho- logical Secretions in Herd Milk samples. Nord. Vet. Med., 9:590. 1957. Johns, C. K. Applications and Limitations of Quality Tests for Milk and Milk Products. A Review. J. Dairy Sci., 42:1625. 1959. Kaufmann, B. P., McDonald, M., and Gay'H. Enzymatic Degradation of Ribonucleoproteins of Chromosomes, Nucleoli and CytOplasm. Nature, 162:814. 1948. Leidl, W., und Schalm, O. W. Die Anwendung des SchalmeMastitis-Testes (SMT) bei Sammelmilch zur Bestimmung minderwertiger Milch, bedingt durch hohen Zellgehalt. Tierarztl. Umschau., 16:219. 1961. (25) (26) (27) (28) (29) (30) (31) (32) (33) (34) (35) (36) 39 Leidl, W., Schalm, O. W., Krieger, A., und Lagemann, H. Vergleich des Schalm-Mastitis-Testes mit dem Zellgehalt, det Katalase-Thybromol-Probe und dem Chloregehalt in der Milch. Tierarztl. Wochen- schrift, 19:382. 1961. Levowitz, tion" D., Weber, M. An Effective "Single Solu- Stain. J. Milk and Food Tech., 19:121. 1956. Macadam, I. The Pathology and Bacteriology of Bovine Mastitis in Relation to Cell Counts. J. Comp. Pathol. Therap. 68:106., 1958. McFarlane, D., Blackburn, P. 8., Malcolm, J. F., and Wilson, A. L. A Comparison of AnteeMortem and Post- Mortem Findings in Bovine Mastitis. Vet. Record, 61:807. 1949. Marshall, R. T., and Edmondson, J. E. Value of- California Mastitis Test Records to the Practitioner. J. Am. Vet. Med. Assoc.,,l40:45. 1962. McKay, K. G. The California Mastitis Testing (CMT) Program. J. Dairy Sci., 43:896. 1960. McKenzie, D. A. A review of Cell Count and Solids- Not-Fat Content of Milk. Dairy Industries, 26:184. 1961. Meigs, E. B., Burkey, L. A., Sanders, G. P., Rogosa, M., and Converse, H. T. The Relationship of Machine Milking to the Incidence and Severity of Mastitis. USDA, Tech. Bull. 992. 1949. Newman, R. W. Calif. Dept. of Agr. Monthly Bu11., Nov. 16, 1927. (Cited by Little and Plastridge. Bovine Mastitis, lst ed., p. 515. McGrawéHill Book Co., New York. 1946. Noorlander, D. 0. Compton Press, Inc. Milking Machines and Mastitis. Chino, California. 1960. Pattison, I. H., Taylor, J. 1., and Holman, H. H. Studies on EXperimental Streptococcal Mastitis. I. Innoculation of Large Numbers of Streptococcus agarlatiae into the Teat Canal of Goats. J. Comp. Pathol. Therap., 60:71. 1950. Plastridge, W. N. Bovine Mastitis: A Review. J. Dairy Sci., 41:1141. 1958. (37) (38) (39) (40) (41) (42) (43) (44) (45) (46) (47) (48) 4O Prescott, S. C., and Breed, R. S. The Determination of the Number of Body Cells in Milk by a Direct Method. J. Infect. Diseases, 7:632. 1910. Schalm, O. W. Udder Health Gain in Mastitis Control Held 'Spectacular'. As quoted by Veterinary Dis- patdh., 3:1. 1961-62. Schalm, 0. W. Bovine Mastitis and a Program for Its Control in California. Can. Vet. Jour., 3:90. 1962. Schalm, 0. W. Leukocyte ReSponses to Diseases in Various Domestic Animals. J. Am. Vet. Med. Assoc., 140:557. 1962. Schalm, O. W. A Syllabus on the Mammary Glands in Health and Disease. University of Calif. Student Book Store. Davis, California. 1959. Schalm, 0. W., and Noorlander, D. 0. Experiments and Observations Leading to Development of the California Mastitis Test. J. Am. Vet. Med. Assoc., 130:199. 1957. Steere, J. H. Mastitis Control in Denmark. Mod. Vet. Practice, No. 5, 41:30. 1960. Temple, H. C., and Haller, C. J. Quality Tests on Bulk Milk to Determine Presence of Mastitis Secretion. Milk Sanitarians Annual Report. 1960. Theilen, G. H., SChalm, 0. W., Straub, O. C., and Hughes, J. P. Bovine Hematology. I. Leukocyte ReSponse to Acute Bovine Mastitis. J. Am. Vet. Med. Assoc., 135:481. 1959. Varrier-Jones, P. C. The Cellular Content of Milk: Variations Met with under Physiological and Patho- logical Conditions. Lancet, 207:537. 1924. Waite, R., and Blackburn, P. S. The Chemical Comp- osition and the Cell Count of Milk. J. Dairy Research, 24:328. 1957. Wright, J. H. A Rapid Method for Differential Staining of Blood Films and Malarial Parasites. J. Med. Research, 7:138. 1902. APPENDIX Procedure I: Staining with Wright's stain. a) Defat and mix the milk smear in acetone-free methyl alcohol for 2-3 minutes. b) Place in Wright's stain for 3-5 minutes. c) Slides are removed from the stain directly into phOSphate buffer to which has been added 1 part of Wright's stain solute to 10 parts of buffer. After 3-4 minutes in the buffer the slides are briefly rinsed in clear water and allowed to dry without blotting, at room temperature. The phOSphate buffer is prepared by diluting 3.8 g NaZHPO P0 and 5.4 g of KH to 1,000 m1 of dis- 4' 4 tilled water. 2 Procedure II: Method Used in Finding the Area of a Microsc0pic Field. By using a stage micrometer the diameter of a field was found to be 17.8 mm (0.0178 cm). Area equals 3.1416 x (0.0089)2 = 0.00025 sq. cm or 1/4000 sq. cm. The milk volume represented by each field equals 1/4000 x 1/100 = 1/400,000 m1. Each cell seen in a field taken at random equals 400,000 cells/m1 of milk. In examining 25 fields, each cell would then represent 16,000 cells. 41 Hllilllllllll ' I I l I ll! '- 1" Ill! 0‘ l l