Genetic correlations and heritability estimates for dry matter intake, weight gain and feed efficiency of Nellore cattle in feedlot

Polizel, Guilherme Henrique Gebim; Grigoletto, Laís; Carvalho, Minos Esperândio; Rossi, Paulo; Ferraz, José Bento Sterman; Santana, Miguel Henrique de Almeida

doi:10.1016/j.livsci.2018.06.013

Cited by 26 publications

(10 citation statements)

References 12 publications

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“…Genetic correlations between FI and RFI were even stronger: 0.84 for performance test bulls and 0.77 for terminal bulls, consistent with the average genetic correlation of 0.72 reported by Berry and Crowley (2013). Polizel et al (2018) reported same level of correlation between phenotype (0.65) and genotype (0.61 ± 0.11), as did Coyne et al (2018), who found 0.72 for phenotypic and 0.70 ± 0.04 for genetic correlations. Selection for a low RFI would therefore be effective in significantly reducing FI.…”

Section: Discussionsupporting

confidence: 82%

“…In addition, Zhang et al (2017) found an RFI heritability of 0.22 (0.07). And more recently, Polizel et al (2018) and Coyne et al (2018) noted that the heritability of RFI was 0.28 (0.07) and 0.50 (0.05), respectively. Our results, bolstered by findings in the literature, suggest that the trait might be sufficient heritable to enable potentially effective genetic selection in the French Charolais population.…”

Section: Discussionmentioning

confidence: 96%

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Relationship between feed efficiency and slaughter traits of French Charolais bulls

Taussat

Saintilan²,

Krauss³

et al. 2019

Journal of Animal Science

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Improving feed efficiency is of interest to French beef producers so as to increase their profitability. To enable this improvement through selection, genetic correlations with production traits need to be quantified. The objective of this study was to estimate the genetic parameters for growth, feed efficiency (FE), and slaughter performance of young beef bulls of the French Charolais breed. Three feed efficiency criteria were calculated: residual feed intake (RFI), residual gain (RG), and ratio of FE. Data on feed intake, growth, and FE were available for 4,675 Charolais bulls tested in performance test stations and fed with pelleted diet. Between 1985 and 1989, 60 among 510 of these bulls were selected to procreate one generation of 1,477 progeny bulls which received the same pelleted diet at the experimental farm in Bourges. In addition to feed intake, growth, and FE traits, these terminal bulls also had slaughter traits of carcass yield, carcass composition, and weight of visceral organs collected. Genetic parameters were estimated using linear mixed animal models. Between performance test bulls and terminal bulls, the genetic correlation of RFI was 0.80 ± 0.18; it was 0.70 ± 0.21 for RG and 0.46 ± 0.20 for FE. For carcass traits, RFI was negatively correlated with carcass yield (−0.18 ± 0.14) and muscle content (−0.47 ± 0.14) and positively with fat content (0.48 ± 0.13). Conversely, RG and FE were positively correlated with carcass yield and muscle content and negatively with fat content. For the three FE criteria, efficient animals had leaner carcass. For visceral organs (as a proportion of empty body weight), RFI was genetically correlated with the proportions of the 5th quarter (0.51 ± 0.17), internal fat (0.36 ± 0.14), abomasum (0.46 ± 0.20), intestines (0.38 ± 0.17), liver (0.36 ± 0.16), and kidneys (0.73 ± 0.11). Conversely, RG and FE were negatively associated with these traits. The high-energy expenditure associated with the high-protein turnover in visceral organs may explain this opposite relationship between FE and the proportion of visceral organs. Selection for final weight and RFI increased growth and FE in progeny, and also improved carcass yield and muscle content in the carcass. To conclude, determinations of growth and feed intake in performance test stations are effective to select bulls to improve their growth, FE, and muscle content in carcass.

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Section: Discussionsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 96%

Relationship between feed efficiency and slaughter traits of French Charolais bulls

Taussat

Saintilan²,

Krauss³

et al. 2019

Journal of Animal Science

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“…No other previous study in Guzerat included IMF as a carcass characteristic to estimate heritability in this breed; however, comparing this trait between Guzerat and Nellore cattle, results show that heritability for IMF is higher than found in Nellore (0.24 and 0.19, respectively) (Magalhães et al, 2019). DMI, ADG and RFI have an estimated heritability of 0.37, 0.50 and 0.28 respectively for Nellore (Moraes et al, 2016;Polizel et al, 2018), higher than found in our study, where estimates were 0.10, 0.21 and 0.12, respectively.…”

Section: Resultsmentioning

confidence: 72%

Research Article Estimation of variance components for carcass and production traits in Guzerat cattle

Cancino-Baier¹,

Mamani²,

Santana³

et al. 2019

Genet. Mol. Res.

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“…However, in other experiments with cattle of the same breed, high magnitude heritability estimates were obtained, ranging from 0.30 to 0.37 (Santana et al, 2014;Grion et al, 2014;Grigoletto et al, 2017;Moraes et al, 2019). In taurine breeds, moderate to high magnitude heritability estimates have also been reported, with values of 0.22, 0.28, and 0.50, respectively (Zhang et al, 2017;Polizel et al, 2018).…”

Section: Resultsmentioning

confidence: 89%

Genetic correlation between feed efficiency and carcass traits in Nellore cattle in Brazil

Gomes

Lôbo²,

Faria³

2023

Sem. Ci. Agr.

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The aim was to estimate the genetic correlations between residual feed intake (RFI) and dry matter intake (DMI) with carcass finish (CF), rib eye area (REA), and marbling (MAR) of Nellore cattle. Data from 7,808 animals were considered. In addition, data from 2,261 females included in the complete database were also considered. Estimates of variance and covariance components, as well as heritabilities and genetic correlations were obtained by means of two-character analysis under animal model. Heritability estimates were found to be moderate for the RFI (0.22) and DMI (0.29) traits. It was observed that genetic correlation was close to zero for all traits, except between RFI and REA (-0.11). However, considering the female population, there was an increase in the estimated genetic correlation between RFI and DMI, although still a favorable genetic association of low magnitude (-0.30). There was also an increase in the genetic association of REA with RFI (-0.21). It can be concluded that the direct selection for RFI and DMI will not influence the CF, MAR, or REA of Nellore cattle. However, this selection may generate some favorable responses in MAR and REA in Nellore females.

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Genetic correlations and heritability estimates for dry matter intake, weight gain and feed efficiency of Nellore cattle in feedlot

Cited by 26 publications

References 12 publications

Relationship between feed efficiency and slaughter traits of French Charolais bulls

Relationship between feed efficiency and slaughter traits of French Charolais bulls

Research Article Estimation of variance components for carcass and production traits in Guzerat cattle

Genetic correlation between feed efficiency and carcass traits in Nellore cattle in Brazil

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