2018
DOI: 10.1016/j.meatsci.2018.05.012
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Predictability of lean product, bone, and fat trim in beef carcasses from Costa Rica

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Cited by 3 publications
(6 citation statements)
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“…Likewise, Tarouco et al (2007) and Silva et al (2012) among others all support the primary importance of body weight in the prediction of weights of HQRTP. Similarly, Huerta-Leidenz et al (2018) found that HCW was the first variable in importance in regression models to explain HQRTP. Other traits that entered the models accounted for relatively little additional variation but improved goodness-of-fit.…”
Section: Resultsmentioning
confidence: 87%
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“…Likewise, Tarouco et al (2007) and Silva et al (2012) among others all support the primary importance of body weight in the prediction of weights of HQRTP. Similarly, Huerta-Leidenz et al (2018) found that HCW was the first variable in importance in regression models to explain HQRTP. Other traits that entered the models accounted for relatively little additional variation but improved goodness-of-fit.…”
Section: Resultsmentioning
confidence: 87%
“…Generally, carcass and ultrasound data show a similarly coefficient of determination with weight of edible cuts, however, when data were presented as a percentage basis the relationship become weaker (Dinkel et al, 1965;Tarouco et al, 2007;Silva et al, 2012;Sakamoto et al, 2014;Huerta-Leidenz et al, 2018). The authors consider unnecessary the estimate the sample size of HQRTP % because the low model fit to this trait (data not showed).…”
Section: Resultsmentioning
confidence: 97%
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