Use of orthogonal functions in random regression models in describing genetic variance in Nellore cattle

Silva, Thiago Bruno Ribeiro da; Araújo, Cláudio Vieira de; Bittencourt, Thereza Cristina Borio dos Santos Calmon de; Araújo, Simone Inoe; Lôbo, Raysildo Barbosa; Bezerra, Luiz Antônio Framartino; Silva, Delvan Alves da; Silva, Alessandra Alves da

doi:10.1590/s1516-35982013000400004

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…However, Loaiza-Echeverri et al (2013) investigated Guzerat cattle and reported higher values for W450, ranging from 0·52 to 0·60. Slightly higher heritability estimates for W450 (0·56) were observed by Silva et al (2013) for Nellore. Guidolin et al (2012) reported heritability estimates ranging from 0·2 ± 0·07 to 0·7 ± 0·05 for Nellore in a genotype × environment interaction study.…”

Section: Discussionmentioning

confidence: 61%

Genetic analysis of visual assessment and body weight traits and their relationships with reproductive traits in Nellore cattle

Paterno

Buzanskas

Filho³

et al. 2017

J. Agric. Sci.

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SUMMARYGenetic parameters for visual assessment traits measured at 487 days of age (body structure (BS), finishing precocity (FP) and muscling (MS)), body weight at 450 days of age (W450), age at first calving (AFC), heifer pregnancy (HP) and stayability (STAY, i.e. the probability of a cow to produce at least three calves before reaching 76 months of age) were estimated in Nellore cattle, seeking to include these traits in the selection criteria for dams. The statistical models included additive genetic and residual random effects using single- and two-trait Bayesian analyses. The average heritability estimates were equal to 0·37 for BS, 0·42 for FP, 0·37 for MS and 0·48 for W450. Age at first calving had a low average heritability estimate (0·13), while HP and STAY estimates were higher (0·36 and 0·24, respectively). The genetic correlations between AFC, HP and STAY with visual assessment traits and body weight were favourable, indicating that selecting animals with higher BS, FP, MS and W450 values will result in the indirect selection of animals with lower AFC and successful scores for HP and STAY. The selection of heifers that present an early pregnancy should anticipate AFC and improve HP in the current herd. Except for AFC, the heritability and genetic correlation estimates between the studied traits justify their inclusion in the selection criteria of the Nellore breeding programme.

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Section: Discussionmentioning

confidence: 61%

Genetic analysis of visual assessment and body weight traits and their relationships with reproductive traits in Nellore cattle

Paterno

Buzanskas

Filho³

et al. 2017

J. Agric. Sci.

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“…High genetic correlations among bodyweight traits were observed by Vargas et al (2014), Neser et al (2012), andVan Niekerk andNeser (2006) for Brahman, Brangus, and Limousin breeds. Silva et al (2013b) estimated genetic correlations for Nellore cattle from birth to 550 days of age, which varied from 0.25 to 0.98. Selection of any of these traits would increase bodyweight gains at later ages.…”

Section: Resultsmentioning

confidence: 99%

Genetic analyses on bodyweight, reproductive, and carcass traits in composite beef cattle

et al. 2017

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In beef cattle, growth, reproductive, and carcass traits have been studied for improving productivity and quality of meat products. The aim of this study was to estimate genetic parameters for birth (BW), weaning (WW) and yearling (YW) weights, scrotal circumferences at weaning (SCW) and yearling (SCY), age at first calving (AFC), ribeye area (REA) and back fat thickness (BFT) in order to provide support for the evaluation program of the composite Canchim breed. Data on 12 967 (BW), 7481 (WW), 5131 (YW), 1447 (SCW), 1224 (SCY), 1400 (AFC), and 2082 (REA and BFT) animals were analysed using the Average Information Restricted Maximum Likelihood method under an animal model (single and multi-trait analyses). A substantial proportion of the variation in the bodyweights, scrotal circumferences and carcass traits was associated with the additive genetic term indicating that these traits may respond to the selection process. For AFC, a low heritability estimate was observed. Genetic correlations among bodyweights varied from 0.41 to 0.93. The genetic correlation among scrotal circumferences was 0.91. Important genetic correlations among YW, SCW, and SCY with AFC were observed (–0.48, –0.61, and –0.71, respectively), indicating that indirect responses to selection for these traits would be expected in the age of which the heifers calve. Furthermore, BFT presented an interesting result with calving performance due to the genetic correlation (–0.69) with AFC. Post-weaning weights showed moderate genetic correlations with REA. Many of the traits considered in the genetic evaluation of this breed are genetically correlated in a favourable manner. Genetic improvement through selection is expected for production, reproduction, and carcass traits in Canchim beef cattle.

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Estimates of Genetic Parameters for Body Weight in Turkish Holstein Bulls using Random Regression Model

Galiç¹,

Takma²

2019

Tarım Bilimleri Dergisi

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The objective of this study was to estimate genetic parameters for the body weights of Turkish Holstein bulls using the random regression model. The data set consists of 1475 body weight records from 395 Holstein bulls raised in the same herd. Body weight records of bulls aged between 32 and 725 days old were collected at approximately two-month intervals from December 2013 to October 2014. In the study body weight measurements made on the same day were accepted as a group and the bulls were grouped into 10 different groups according to their age. The additive genetic and permanent environmental effects were estimated using DFREML algorithm by third order Legendre polynomials. The additive genetic variance estimates ranged from 10.73 to 4867.07, the phenotypic variance estimates ranged from 382.84 to 5514.86 and permanent environmental variance estimates ranged from 0.33 to 63.27. The heritability values were estimated between 0.03 to 0.90. The phenotypic and additive genetic correlations between body weights were positively estimated between 0.085 to 0.89 and 0.53 to 0.94, respectively. It was concluded that use of body weight at an earlier age will give advantage in breeding studies for body weight at slaughter.

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Use of orthogonal functions in random regression models in describing genetic variance in Nellore cattle

Cited by 4 publications

References 9 publications

Genetic analysis of visual assessment and body weight traits and their relationships with reproductive traits in Nellore cattle

Genetic analysis of visual assessment and body weight traits and their relationships with reproductive traits in Nellore cattle

Genetic analyses on bodyweight, reproductive, and carcass traits in composite beef cattle

Estimates of Genetic Parameters for Body Weight in Turkish Holstein Bulls using Random Regression Model

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