Literature DB >> 19897625

Covariance functions for body weight from birth to maturity in Nellore cows.

A A Boligon1, M E Z Mercadante, S Forni, R B Lôbo, L G Albuquerque.   

Abstract

The objective of this study was to estimate (co)variance functions using random regression models on Legendre polynomials for the analysis of repeated measures of BW from birth to adult age. A total of 82,064 records from 8,145 females were analyzed. Different models were compared. The models included additive direct and maternal effects, and animal and maternal permanent environmental effects as random terms. Contemporary group and dam age at calving (linear and quadratic effect) were included as fixed effects, and orthogonal Legendre polynomials of animal age (cubic regression) were considered as random covariables. Eight models with polynomials of third to sixth order were used to describe additive direct and maternal effects, and animal and maternal permanent environmental effects. Residual effects were modeled using 1 (i.e., assuming homogeneity of variances across all ages) or 5 age classes. The model with 5 classes was the best to describe the trajectory of residuals along the growth curve. The model including fourth- and sixth-order polynomials for additive direct and animal permanent environmental effects, respectively, and third-order polynomials for maternal genetic and maternal permanent environmental effects were the best. Estimates of (co)variance obtained with the multi-trait and random regression models were similar. Direct heritability estimates obtained with the random regression models followed a trend similar to that obtained with the multi-trait model. The largest estimates of maternal heritability were those of BW taken close to 240 d of age. In general, estimates of correlation between BW from birth to 8 yr of age decreased with increasing distance between ages.

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Year:  2009        PMID: 19897625     DOI: 10.2527/jas.2008-1511

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


  7 in total

1.  MUC1 gene polymorphism in three Nelore lines selected for growth and its association with growth and carcass traits.

Authors:  Fabio Ricardo Pablos de Souza; Sandra Maione; Stefano Sartore; Dominga Soglia; Veronica Spalenza; Elsa Cauvin; Lucia Regina Martelli; Maria Eugênia Zerlotti Mercadante; Paola Sacchi; Lucia Galvão de Albuquerque; Roberto Rasero
Journal:  Mol Biol Rep       Date:  2011-06-03       Impact factor: 2.316

2.  Milk production potential and reproductive performance of Egyptian buffalo cows.

Authors:  Mohammed Hamed Eldawy; Mohamed El-Saeed Lashen; Hussein Mohamed Badr; Mohammed Hamdy Farouk
Journal:  Trop Anim Health Prod       Date:  2021-04-22       Impact factor: 1.559

3.  Possibility of modifying the growth trajectory in Raeini Cashmere goat.

Authors:  Heydar Ghiasi; M S Mokhtari
Journal:  Trop Anim Health Prod       Date:  2018-03-27       Impact factor: 1.559

4.  Genetic trends and trade-offs between growth and reproductive traits in a Nellore herd.

Authors:  Luiza Rodrigues Alves Abreu; Virgínia Mara Pereira Ribeiro; Gabriela Canabrava Gouveia; Eduardo Penteado Cardoso; Fabio Luiz Buranelo Toral
Journal:  PLoS One       Date:  2018-08-16       Impact factor: 3.240

5.  Analysis of longitudinal data of Nellore cattle from performance test at pasture using random regression model.

Authors:  Fernando Brito Lopes; Cláudio Ulhôa Magnabosco; Fernanda Paulini; Marcelo Corrêa da Silva; Eliane Sayuri Miyagi; Raysildo Barbosa Lôbo
Journal:  Springerplus       Date:  2012-11-20

6.  The influence of animals from embryo transfer on the genetic evaluation of growth in Simmental beef cattle by using multi-trait models.

Authors:  Rodrigo Reis Mota; Paulo Sávio Lopes; Luiz Fernando Aarão Marques; Luciano Pinheiro da Silva; Marcos Deon Vilela de Resende; Robledo de Almeida Torres
Journal:  Genet Mol Biol       Date:  2013-03-04       Impact factor: 1.771

7.  Genetic analysis of growth traits in Polled Nellore cattle raised on pasture in tropical region using Bayesian approaches.

Authors:  Fernando Brito Lopes; Cláudio Ulhôa Magnabosco; Fernanda Paulini; Marcelo Corrêa da Silva; Eliane Sayuri Miyagi; Raysildo Barbosa Lôbo
Journal:  PLoS One       Date:  2013-09-10       Impact factor: 3.240

  7 in total

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