2017
DOI: 10.1590/0103-8478cr20151505
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Genetic analysis of residual feed intake adjusted for fat and carcass and performance traits in a Nellore herd

Abstract: ABSTRACT:The study of the genetic evaluation of residual feed intake adjusted for fat (RFIFat)

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Cited by 17 publications
(8 citation statements)
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“…The genetic correlations with CIMF and CMS, while of reduced magnitude, were not statistically different from zero on the basis of their standard errors. This is consistent with Moraes et al (2017) who redefined RFI to account for back fat thickness and observed a reduction in magnitude of the genetic correlation between RFI and back fat thickness (0.42-0.23).…”
Section: Genetic Correlationssupporting
confidence: 90%
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“…The genetic correlations with CIMF and CMS, while of reduced magnitude, were not statistically different from zero on the basis of their standard errors. This is consistent with Moraes et al (2017) who redefined RFI to account for back fat thickness and observed a reduction in magnitude of the genetic correlation between RFI and back fat thickness (0.42-0.23).…”
Section: Genetic Correlationssupporting
confidence: 90%
“…While the common definition for RFI includes adjustments for maintenance of liveweight and growth rate, adjustments can also be included for other traits. Several studies have modified the definition of RFI, for example, Kelly et al (2019) who included carcass weight and carcass fat score, Basarab et al (2011) who included heifer backfat thickness and feeding frequency and Moraes et al (2017) who included bull rump fat thickness. As explained by Kelly et al (2019), the main reason for including adjustments for fat is to ensure that differences in RFI are not primarily the result of differences in body or carcass fat.…”
Section: Introductionmentioning
confidence: 99%
“…DMI, ADG, RFI and MW averaged 10.3  1.2 kg, 1.6  0.3 kg, -0.003  0.7 kg and 90.6  8.7 kg, respectively. These traits have been described manly in other zebu breeds, such as Nellore, in which DMI, ADG, RFI and MW averaged 7.59  1.46 kg, 1.03  0.25 kg, 0.00009  0.53 kg and 80.1  8.8 kg, respectively (Moraes et al, 2016). DMI and ADG are two important traits that give an idea of how each animal is taking advantage of food and turning it into body mass, i.e., feed conversion (FC = DMI/ADG).…”
Section: Resultsmentioning
confidence: 65%
“…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: 74%
“…The study of variations in feed efficiency unveils differences in responses of efficient and inefficient animals. Previous work has shown that efficient animals display different BW gain patterns, including reduced fat thickness during finishing, smaller visceral fat depots, and reduced non-carcass weight (Gomes et al, 2012;Redden et al, 2013;Nascimento et al, 2016;Moraes et al, 2017).…”
Section: Introductionmentioning
confidence: 99%