Abstract
The epidemiology and genetic variability of the most common dairy cow diseases were examined. This paper describes the data set, lactation incidence rates and culling during lactation. The data set consisted of the lactation records of 73,368 Finnish Ayrshire dairy cows. Each cow was under observation for 2 days before and 305 days after calving. Lactational incidence rates (%) for the most common diseases were: ovulatory dysfunction 7.0, ketosis 6.0, acute mastitis 5.4, an oestrus and suboestrus 5.2, retained placenta 4.5, parturient paresis 3.8 and teat injury 2.6. Multiple logistic regression was utilized to investigate the possible effects of certain factors on culling. The model predicted the log odds for culling as an additive function of the explanatory factors. Using the estimated odds and forming the odds ratios it was possible to investigate, relative risks between any combination of groups of the explanatory factors. The risk of culling increased with parity after the second parturition, and with increasing herd milk yield. Mastitis and parturient paresis had positive associations with culling, while ketosis and infertility had negative associations. Heritability estimates for culling in various parity groups were from 2 % to 9 % on the binomial scale corresponding from 5 % to 14 % on the normal scale. There was a neagtive genetic correlation between culling and previous milk production.
Keywords: health documentation, incidence, logistic regression, dairy cattle
Sammendrag
Den epidemiologiska och genetiska variationen av de mest allmänna mjölkboskapssjukdomarna har undersökts. I denna publikation beskrevs dataset, lactation incidence rate (LIR) och orsak till slakt. Materialet innehåller laktationsresultat från 73368 finska Ayrshire kor. Varje ko observerades från 2 dagar före till 305 dagar efter kalvningen. LIR (%) för de mest allmänna sjukdomarna var ovulationstörningar 7.0, ketos 6.0, akut mastit 5.4, brunsitsvaghet 5.2, kvarbliven efterhörd 5.5, paresis puerperalis 3.8 och spensjukdomar 2.6. Inverkan av möjliga faktorer på slakt undersöktes med multipel logitisk regression. Modellen prognostiserar log odds för slakt som additiv funktion av de förklarande faktorerna. Odds ratio beräknades av estimerade odds för att undersöka relaterande risken mellan olika kombinationer av förklarande faktorer. Slaktrisken ökar med ökat antal laktationsperioder efter den andra laktationen och med ökande besättningsmedelproduktion. Mastit och pares har ett positivt samband med slakt, medan ketos och infertilitet har ett negativt samband. Ärftligheten för slaktrisken i olika laktationsperioider var från 2 % till 9 % i den binomiala skalan motsvarande från 5 % till 14 % i den normala skalan. Genetisk korrelation mellan slakt och tidigare mjölkproduktion var negativ.
Full Text
The Full Text of this article is available as a PDF (1.4 MB).
Acknowledgments
The authors thank Pol. Lie. Juni Palmgren for advice on logistic regression, and the Agricultural Data Processing Centre for supplying computer facilities for statistical analysis.
References
- Blood D C, Morris R S, Williamson N B, Cannon C M, Cannon R M. A health program for commercial dairy herds. 1. Objectives and methods. Aust. vet. J. 1978;54:207–215. doi: 10.1111/j.1751-0813.1978.tb05541.x. [DOI] [PubMed] [Google Scholar]
- Burnside E B, Kowalchuk S B, Lambroughton D B, Mac Leod N M. Canadian dairy cow disposals. I. Differences between breeds, lactation numbers and seasons. Ganad. J. Anim. Sci. 1971;51:75–83. doi: 10.4141/cjas71-010. [DOI] [Google Scholar]
- Cobo-Abreau R, Martin S W, Stone J B, Willoughby R A. The rates and patterns of survivorship and disease in a university dairy herd. Canad. vet. J. 1979;20:177–183. [PMC free article] [PubMed] [Google Scholar]
- Cobo-Abreau R, Martin S W, Willoughby R A, Stone J B. The association between disease, production and culling in a university dairy herd. Canad. vet. J. 1979;20:191–195. [PMC free article] [PubMed] [Google Scholar]
- Cox D R. Analysis of Rinary Data. London: Chapman and Hall; 1970. [Google Scholar]
- Dempster E R, Lerner I M. Heritability of threshold characters. Genetics. 1950;35:212–236. doi: 10.1093/genetics/35.2.212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dohoo I R, Martin S W. Disease, production and culling in Holstein-Friesian cows. V. Survivorship. Prev. Vet. Med. 1984;2:771–784. doi: 10.1016/0167-5877(84)90032-1. [DOI] [Google Scholar]
- Erb H N, Martin S W. Relationships between production and reproductive diseases in Holstein cows. Data. J. Dairy Sci. 1980;63:1911–1917. doi: 10.3168/jds.S0022-0302(80)83158-4. [DOI] [PubMed] [Google Scholar]
- Feinberg S E. The Analysis of Cross-classified Categorical Data. 2. Cambridge, Massachusets: MIT Press; 1980. [Google Scholar]
- Fleiss J L. Statistical Methods for Rates and Proportions. 2. New York: John Wiley & Sons, Inc.; 1981. [Google Scholar]
- Freund R J, Littell R C. SAS for linear models. A guide to ANOVA and GLM procedures. Cary, N.C.: SAS Institute, Inc.; 1981. [Google Scholar]
- Hennics K. Djursjukdata (Disease recording data) Husdjur. 1985;10:11. [Google Scholar]
- Lindström U B. Genetic change in milk yield and fat percentage in artificially bred populations of Finnish dairy cattle. Acta Agr. Fenn. 1969;114:128. [Google Scholar]
- Lindström U B, Maijala K, Vilua V. Studies on A.I. dairy sire provings. II. Sire x region-interactions. Z. Tierzuchtg. Zuchtungsbiol. 1971;88:1–11. [Google Scholar]
- Lintukangas S. Erilaisten virhelähteiden ja erityisesti tuotostasion ja maantieteellisen aluean vaikutus ay-sonnien jälkeläisarvosteluun. (Effects of region and herd milk level on dairy sire progeny testing results in Finnish Ayrshire) Helsinki: Univ. of Helsinki, Dept. of Anim. Breed.; 1977. p. 114. [Google Scholar]
- Martin S W, Aziz S A, Sandals W C D, Curtis R A. The asso ciation between clinical disease, production and culling of Holstein-Friesian cows. Ganad. J. Anim. Sci. 1982;62:633–640. doi: 10.4141/cjas82-073. [DOI] [Google Scholar]
- Parker J B, Bayley N D, Fohrman M H, Plowman R D. Factors influencing dairy cattle longevity. J. Dairy Sci. 1960;43:401–409. doi: 10.3168/jds.S0022-0302(60)90175-2. [DOI] [Google Scholar]
- Ray A A. SAS User's Guide: Statistics. Cary, N.C.: SAS Institute Inc.; 1982. [Google Scholar]
- Robertson A. The sampling variance of the correlation coefficient. Biometrics. 1959;15:469–485. doi: 10.2307/2527750. [DOI] [Google Scholar]
- Saloniemi H. The 5th International Congress of Animal Hygiene. High Tatras, Czechoslovakia. 1982. Recording of health data and herd health management of dairy cattle in Finland; pp. 26–28. [Google Scholar]
- Schwabe C W. The current epidemiological revolution in veterinary medicine. Part I. Prev. Vet. Med. 1982;1:5–15. doi: 10.1016/0167-5877(82)90003-4. [DOI] [Google Scholar]
- Schwabe C W, Riemann H P, Franti C E. Epidemiology in Veterinary Practice. Philadelphia, PA: Lea & Febiger; 1977. [Google Scholar]
- Solbu H. Disease recording in Norwegian dairy cattle. I. Disease incidence and non-genetic effects on mastitis, ketosis, and milk fever. Z. Tierz. Zuchtungsbiol. 1983;100:139–156. doi: 10.1111/j.1439-0388.1983.tb00720.x. [DOI] [Google Scholar]
- Swiger L A, Harwey W R, Ewerson D O, Gregory K E. The variance on intraclass correlation involving groups with one observation. Biometrics. 1964;20:818–826. doi: 10.2307/2528131. [DOI] [Google Scholar]
- Teittinen H. Kuukausiraporttien ja terveystarkkailutietojen vertailua (The comparison of the data of health recording system and official statistitcs) Suom. Eläinlääk.-L. 1985;91:384–387. [Google Scholar]
- Van Doormaal B J, Schaeffer L R, Kennedy B W. Estimation of genetic parameters for stayability in Canadian Holsteins. J. Dairy Sci. 1985;68:1763–1769. doi: 10.3168/jds.S0022-0302(85)81025-0. [DOI] [PubMed] [Google Scholar]
- Westell R A, Burnsnde E B, Schaeffer L R. Evaluation of Canadian Holstein-Friesian dairy sires on disposal reasons for their daughters. J. Dairy Sci. 1982;65:2366–2372. doi: 10.3168/jds.S0022-0302(82)82510-1. [DOI] [PubMed] [Google Scholar]