Evaluation of body weight and hip height in Nellore cows in a tropical environment

Portes, Juliana Varchaki; Cyrillo, Joslaine Noely dos Santos Gonçalves; Faro, Lenira El; Mercadante, Maria Eugênia Zerlotti; Teixeira, Rodrigo de Almeida; Dias, Laila Talarico

doi:10.1016/j.livsci.2020.103953

Cited by 6 publications

(4 citation statements)

References 27 publications

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“…For phenotypic variance (s²f), models had similar fits, showing gradual growth with age and more accentuated increases at older ages (Figure 3). This is standard behavior for beef cattle, as reported by Teixeira et al (2018) and Portes et al (2020) in Nellore cattle. These authors reported that s²f growth may be due to increases in genetic variance throughout the growth curve.…”

Section: Resultssupporting

confidence: 72%

“…again at the end of the growth curve. Most studies that include maternal effects in growth analyses have generally shown reductions after weaning, indicating their low importance (Scalez et al, 2018;Cavalcante et al, 2019;Portes et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

“…Beef cattle breeding programs are often based on body weight and weight gains at different ages (Portes et al, 2020). In this scenario, random regression models have been extensively used to assess genetic effects on these traits, as they more accurately describe phenotypic and genetic changes over time (Scalez et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Covariance functions under B-spline polynomials to model Polled Nellore cattle growth

Cavalcante¹,

Luz²,

Oliveira³

et al. 2021

Semina: Ciênc. Agrár.

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B-spline functions have been used in random regression models (RRM) to model animal weight from birth to adulthood because they are less vulnerable to common difficulties of other methods. However, its application to model growth traits of Polled Nellore cattle has been little studied. Therefore, this study aimed to evaluate polynomial functions of different orders and segment numbers to model effects associated with the Polled Nellore cattle growth curve. For this purpose, we used 15,148 weight records of 3,115 animals aged between 1 and 660 days and reared in northern Brazil and born between 1995 and 2010. Random effects were modeled using B-spline polynomials. As random effects, we considered the direct and maternal genetic additives, as well as direct and maternal permanent environments. As fixed effects were included contemporary group, cow age at calving (linear and quadratic) and fourth-order Legendre polynomials to represent average growth curve. The residue was modeled by considering seven age classes. The bestfitted model was the one that considered cubic B-spline functions with four knots for direct additive genetic effects and three knots for maternal genetic, animal permanent environment, and maternal permanent environment effects (C6555). Therefore, covariance functions under B-spline polynomials are efficient and can be used to model the growth curve of Polled Nellore cattle from birth to 660 days of age.

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Section: Resultssupporting

confidence: 72%

Section: Resultsmentioning

confidence: 99%

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Covariance functions under B-spline polynomials to model Polled Nellore cattle growth

Cavalcante¹,

Luz²,

Oliveira³

et al. 2021

Semina: Ciênc. Agrár.

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show abstract

“…Another trait linked to matrices that has been assessed as a selection objective was CW, due to the high genetic correlations between weights at different ages (0.44 to 0.95; Boligon et al, 2010;Regatieri et al, 2012;Portes et al, 2020a). This is because most beef cattle perform selection for weaning and/or yearling weight, due to the relationship between the traits and the final product, which inevitably results in changes in mature cow weight.…”

Section: Discussionmentioning

confidence: 99%

Selection indexes for Nellore production system in the Brazilian Pantanal

Portes¹,

Menezes²,

Silva³

et al. 2021

Revista Brasileira De Zootecnia

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The objective was to develop selection indexes for Nellore cattle raised in full-cycle production system in the Brazilian Pantanal. The resulting offspring are retained as replacements or sold at two years of age. Preliminary analyses explored effects of scale on economic values (EV). However, given the available data, these effects were very small. Presented herein are results from a simulated system consisting of 5,000 cows with all animals maintained on pasture as is typical in Pantanal. The EV were determined by approximating the partial derivatives of the profit function, changing one trait at a time, by one unit, while keeping the other traits constant. Traits in the breeding objective were mature cow weight, direct and maternal weaning weight, postweaning average daily gain, subcutaneous fat depth, longissimus muscle area, and stayability. Economic values were calculated on the basis of number of animals (per head), number of animal units, and arroba of carcasss weight. Regardless of the basis, maternal weaning weight and subcutaneous fat depth made negligible contributions to the breeding objective. Proportions of variation in the breeding objectives (per head, per animal unit, per arroba) explained by cow weight, direct weaning weight, postweaning average daily gain, stayability, and longissimus muscle area were:

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Effects of inbreeding on production traits and genetic evaluations in Guzerá beef cattle raised under tropical conditions

Portes,

Rodrigues,

de Vasconcellos Silva

et al. 2024

Trop Anim Health Prod

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Evaluation of body weight and hip height in Nellore cows in a tropical environment

Cited by 6 publications

References 27 publications

Covariance functions under B-spline polynomials to model Polled Nellore cattle growth

Covariance functions under B-spline polynomials to model Polled Nellore cattle growth

Selection indexes for Nellore production system in the Brazilian Pantanal

Effects of inbreeding on production traits and genetic evaluations in Guzerá beef cattle raised under tropical conditions

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