Literature DB >> 17371792

Study of stayability in Nellore cows using a threshold model.

M H Van Melis1, J P Eler, H N Oliveira, G J M Rosa, J A V Silva, J B S Ferraz, E Pereira.   

Abstract

The objectives of the current study were to assess the feasibility of using stayability traits to improve fertility of Nellore cows and to examine the genetic relationship among the stayabilities at different ages. Stayability was defined as whether a cow calved every year up to the age of 5 (Stay5), 6 (Stay6), or 7 (Stay7) yr of age or more, given that she was provided the opportunity to breed. Data were analyzed based on a maximum a posteriori probit threshold model to predict breeding values on the liability scale, whereas the Gibbs sampler was used to estimate variance components. The EBV were obtained using all animals included in the pedigree or bulls with at least 10 daughters with stayability observations, and average genetic trends were obtained in the liability and transformed to the probability scale. Additional analyses were performed to study the genetic relationship among stayability traits, which were compared by contrasting results in terms of EBV and the average genetic superiority as a function of the selected proportion of sires. Heritability estimates and SD were 0.25 +/- 0.02, 0.22 +/- 0.03, and 0.28 +/- 0.03 for Stay5, Stay6, and Stay7, respectively. Average genetic trends, by year, were 0.51, 0.34, and 0.38% for Stay5, Stay6, and Stay7, respectively. Estimates of EBV SD, in the probability scale, for all animals included in the pedigree and for bulls with at least 10 daughters with stayability observations were 7.98 and 12.95, 6.93 and 11.38, and 8.24 and 14.30% for Stay5, Stay6, and Stay7, respectively. A reduction in the average genetic superiorities in Stay7 would be expected if the selection were based on Stay5 or Stay6. Nonetheless, the reduction in EPD, depending on selection intensity, is on average 0.74 and 1.55%, respectively. Regressions of the sires' EBV for Stay5 and Stay6 on the sires' EBV for Stay7 confirmed these results. The heritability and genetic trend estimates for all stayability traits indicate that it is possible to improve fertility with selection based on a threshold analysis of stayability. The SD of EBV for stayability traits show that there is adequate genetic variability among animals to justify inclusion of stayability as a selection criterion. The potential linear relationship among stayability traits indicates that selection for improved female traits would be more effective by having predictions on the Stay5 trait.

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Year:  2007        PMID: 17371792     DOI: 10.2527/jas.2005-608

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  6 in total

1.  Evolutionary demography and quantitative genetics: age-specific survival as a threshold trait.

Authors:  Jacob A Moorad; Daniel E L Promislow
Journal:  Proc Biol Sci       Date:  2010-07-21       Impact factor: 5.349

2.  Genome-wide association study for stayability measures in Nellore-Angus crossbred cows.

Authors:  Bailey N Engle; Andy D Herring; Jason E Sawyer; David G Riley; James O Sanders; Clare A Gill
Journal:  J Anim Sci       Date:  2018-04-14       Impact factor: 3.159

3.  Estimation of genetic parameters for longevity considering the cow's age at last calving.

Authors:  Sabrina L Caetano; Guilherme J M Rosa; Rodrigo P Savegnago; Salvador B Ramos; Priscila A Bernardes; Luiz A F Bezerra; Raysildo B Lôbo; Claudia C P de Paz; Danísio Prado Munari
Journal:  J Appl Genet       Date:  2016-06-04       Impact factor: 3.240

4.  Genotype by environment interaction for stayability of Red Angus in the United States.

Authors:  Dennis J Fennewald; Robert L Weaber; William R Lamberson
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

5.  Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared to a traditional pedigree-based model in rainbow trout aquaculture.

Authors:  Roger L Vallejo; Timothy D Leeds; Guangtu Gao; James E Parsons; Kyle E Martin; Jason P Evenhuis; Breno O Fragomeni; Gregory D Wiens; Yniv Palti
Journal:  Genet Sel Evol       Date:  2017-02-01       Impact factor: 4.297

6.  Genomic analysis of stayability in Nellore cattle.

Authors:  Daniela Barreto Amaral Teixeira; Gerardo Alves Fernandes Júnior; Danielly Beraldo Dos Santos Silva; Raphael Bermal Costa; Luciana Takada; Daniel Gustavo Mansan Gordo; Tiago Bresolin; Roberto Carvalheiro; Fernando Baldi; Lucia Galvão de Albuquerque
Journal:  PLoS One       Date:  2017-06-07       Impact factor: 3.240

  6 in total

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