Genetic principal components for reproductive and productive traits in Holstein cows reared under tropical conditions
| Autor: | Alejandra Maria Toro Ospina, Josineudson Augusto Ii de Vasconcelos Silva, Pablo Dominguez-Castaño, Lenira El Faro |
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| Přispěvatelé: | Universidade Estadual Paulista (Unesp), Fdn Univ Agr Colombia, Inst Zootecnia |
| Rok vydání: | 2020 |
| Předmět: |
040301 veterinary sciences
media_common.quotation_subject Ice calving Biology 0403 veterinary science Animal science Food Animals Dairy cattle Animals Lactation Genetic variability Selection (genetic algorithm) media_common Principal Component Analysis Tropical Climate Variance components Reproduction 0402 animal and dairy science Production Bayes Theorem 04 agricultural and veterinary sciences Heritability 040201 dairy & animal science Fertility Milk Reduced-rank model Principal component analysis Trait Animal Science and Zoology Cattle Female Brazil |
| Zdroj: | Web of Science Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| ISSN: | 1573-7438 |
| Popis: | Made available in DSpace on 2021-06-25T12:39:47Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-06-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) The objective of this study was to compare the standard multi-trait model and five reduced-rank models fitted to the first principal components and genetic parameter estimates in order to determine the most appropriate method to model the covariance structure of reproductive and productive traits in Brazilian Holstein cows. Individual records of the following traits from 5217 cows were analyzed: 305-day milk yield (MY305), peak yield, milk yield per day of calving interval, days from calving to first estrus, days from calving to last service (CLS), calving interval (CI), and gestation length. Schwarz's Bayesian information criterion was used to compare the different models. The results indicated that four principal components were necessary to model the genetic (co)variance structure, reducing the number of parameters to be estimated. Analysis of genetic and phenotypic correlations showed that milk production-related traits were strongly correlated with each other (ranging from 0.74 to 0.99), while the correlation of these traits with the reproductive traits was weak (ranging from - 0.14 to 0.27). Heritability estimates for the traits ranged from 0.03 to 0.18. The reproductive traits CLS and CI and the production trait MY305 should be included as selection criteria in dairy cattle breeding programs because they are correlated with the first two principal components, retaining 91% of the genetic variability of the data. Univ Estadual Paulista, Dept Zootecnia, Fac Ciencias Agr & Vet, BR-14884900 Jaboticabal, SP, Brazil Fdn Univ Agr Colombia, Fac Med Vet, Bogota 111166, Colombia Inst Zootecnia, BR-14160900 Sertaozinho, SP, Brazil Univ Estadual Paulista, Dept Melhoramento & Nutr Anim, Fac Med Vet & Zootecnia, BR-18618000 Botucatu, SP, Brazil Univ Estadual Paulista, Dept Zootecnia, Fac Ciencias Agr & Vet, BR-14884900 Jaboticabal, SP, Brazil Univ Estadual Paulista, Dept Melhoramento & Nutr Anim, Fac Med Vet & Zootecnia, BR-18618000 Botucatu, SP, Brazil CAPES: 001 |
| Databáze: | OpenAIRE |
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