Literature DB >> 22147483

Prediction of physical and chemical body compositions of purebred and crossbred Nellore cattle using the composition of a rib section.

M I Marcondes1, L O Tedeschi, S C Valadares Filho, M L Chizzotti.   

Abstract

The goal of this research was to develop empirical equations to predict chemical and physical compositions of the carcass and the body using the composition of the 9th- to 11th-rib section (rib(9-11)) and other measurements. A database (n = 246) from 6 studies was developed and comprised 37 bulls (BU), 115 steers (STR), and 94 heifers (HF), of which 132 were Nellore (NEL), 76 were NEL × Angus crossbreds (NA), and 38 were NEL × Simmental crossbreds (NS). The right half carcass and the rib(9-11) from the left half carcass were analyzed for ether extract (EE), CP, and water. The remaining components were chemically analyzed to determine the composition of the body. A stepwise procedure was used to determine the variable inclusion in the regression models. The variables included were EE in the rib(9-11) (EER; %), CP in the rib(9-11) (CPR; %), water in the rib(9-11) (WR; %), visceral fat (VF; %; KPH and mesenteric fats), organs plus viscera (OV; %), carcass dressing percentage (CD; %), cold carcass weight (kg), and empty BW (EBW; kg). No sex or breed effects were found on EE and CP compositions of the carcass (C(EE) and C(CP), respectively; %); the equations were as follows: C(EE) = 4.31 + 0.31 × EER + 1.37 × VF [n = 241; R(2) = 0.83; mean square error (MSE) = 4.53] and C(CP) = 17.92 + 0.60 × CPR - 0.17 × CD (n = 238; R(2) = 0.50; MSE = 1.58). Breed affected water content in the carcass (C(W), %); the equations were as follows: C(W) = 48.74 + 0.28 × WR - 0.017 × EBW for NEL; C(W) = 46.69 + 0.32 × WR - 0.017 × EBW for NA; and C(W) = 38.06 + 0.48 × WR - 0.017 × EBW for NS (n = 243; R(2) = 0.67; MSE = 5.17). A sex effect was found on body chemical EE composition (BW(EE)); the equations were as follows: BW(EE) = 2.75 + 0.33 × EER + 1.80 × VF for BU; BW(EE) = 1.84 + 0.33 × EER + 1.91 × VF for STR; and BW(EE) = 4.77 + 0.33 × EER + 1.28 × VF for HF (n = 243; R(2) = 0.89; MSE = 3.88). No sex or breed effects were found on CP composition in the body (BW(CP)); the equation was as follows: BW(CP) = 14.38 + 0.24 × CPR (n = 240; R(2) = 0.59; MSE = 1.06). A sex effect was found for body water content (BW(W)); the equations were as follows: BW(W) = 38.31 + 0.33 × WR - 1.09 × VF + 0.50 × OV for BU; BW(W) = 45.67 + 0.25 × WR - 1.89 × VF + 0.50 × OV for STR; and BW(W) = 31.61 + 0.47 × WR - 1.06 × VF + 0.50 × OV for HF (n = 241; R(2) = 0.81; MSE = 3.84). The physical carcass composition indicated a breed effect on all components and a sex effect for fat in the carcass. We conclude that body and carcass compositions can be estimated with rib(9-11) for purebred and crossbred NEL animals, but specific equations have to be developed for different groups of animals.

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Year:  2011        PMID: 22147483     DOI: 10.2527/jas.2011-3839

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  3 in total

1.  In vivo ultrasound and biometric measurements predict the empty body chemical composition in Nellore cattle.

Authors:  A M Castilhos; C L Francisco; R H Branco; S F M Bonilha; M E Z Mercadante; P R L Meirelles; C M Pariz; A M Jorge
Journal:  J Anim Sci       Date:  2018-05-04       Impact factor: 3.159

2.  Can the body composition of crossbred dairy cattle be predicted by equations for beef cattle?

Authors:  Maria Luciana Menezes Wanderley Neves; Evaristo Jorge Oliveira de Souza; Robson Magno Liberal Véras; Sebastião de Campos Valadares Filho; Marcos Inácio Marcondes; Gabriel Santana da Silva; Lígia Maria Gomes Barreto; Marcelo de Andrade Ferreira; Antonia Sherlânea Chaves Véras
Journal:  Asian-Australas J Anim Sci       Date:  2018-04-12       Impact factor: 2.509

3.  Nutrient requirements and evaluation of equations to predict chemical body composition of dairy crossbred steers.

Authors:  Flavia Adriane de Sales Silva; Sebastião de Campos Valadares Filho; Luiz Fernando Costa E Silva; Jaqueline Gonçalves Fernandes; Bruno Corrêa Lage; Mario Luiz Chizzotti; Tara Louise Felix
Journal:  Anim Biosci       Date:  2020-06-24
  3 in total

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