2017
DOI: 10.1590/s1806-92902017000200011
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Abstract: -The objective of this study was to develop accurate regression equations to predict body composition of Nellore cattle using chemical composition of the 9th, 10th, and 11th ribs and to evaluate the models proposed by analyzing mean and linear bias. Sixty-seven Nellore bulls were slaughtered and slaughter body weight (SBW), hot carcass weight (HCW), and 9th-, 10th-, and 11th-rib-cut weight (RCW) were measured. Empty body composition was obtained after grinding, homogenizing, sampling, chemical analysis, and po… Show more

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Cited by 1 publication
(23 citation statements)
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“…Water, fat, protein, and ash are body components of greatest interest for beef cattle nutrition. These components are distributed in a varied way in body tissues according to different factors and are important in dynamic models to estimate body composition (SILVA et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Water, fat, protein, and ash are body components of greatest interest for beef cattle nutrition. These components are distributed in a varied way in body tissues according to different factors and are important in dynamic models to estimate body composition (SILVA et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…The most traditional indirect method is the use of 9-10-11 th ribs, recommended by Hankins and Howes (1946). Many studies have investigated this method and some errors in the estimates were found, although the method has been validated in several circumstances (SILVA et al, 2017;NEVES et al, 2018).…”
Section: Introductionmentioning
confidence: 99%