2017
DOI: 10.5433/1679-0359.2017v38n1p391
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Allometric growth of body components in crossbred ewe lambs fed increasing dietary concentrate levels

Abstract: This study aimed to evaluate the growth of body components in crossbred ewe lambs fed increasing levels of dietary concentrate and to determine the optimum level of supplementation for finishing ewe production. Thirty crossbred (½ Pantaneira × ½ Texel) wool ewe lambs fed Tifton 85 hay (Cynodon spp.) and different dietary concentrate levels (20, 40, 60, and 80% DM basis) were selected for study. At the beginning of the study, six animals were slaughtered for determination of initial body composition. The remain… Show more

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Cited by 4 publications
(8 citation statements)
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“…These results might be attributed to the fact that liver growth is dependent on the dietary energy level, which is higher in artificial milk products. Supporting the current results, a rapid growth rate of liver in artificially reared lambs had been reported by Santos 26 and Oliviera et al 5 . Although not statistically significant, in this study, it was determined that the allometric growth coefficients for most of the non-carcass components decreased partially with increasing slaughter age.…”
Section: Allometric Growthsupporting
confidence: 92%
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“…These results might be attributed to the fact that liver growth is dependent on the dietary energy level, which is higher in artificial milk products. Supporting the current results, a rapid growth rate of liver in artificially reared lambs had been reported by Santos 26 and Oliviera et al 5 . Although not statistically significant, in this study, it was determined that the allometric growth coefficients for most of the non-carcass components decreased partially with increasing slaughter age.…”
Section: Allometric Growthsupporting
confidence: 92%
“…b>1 indicates a faster growth rate of investigated non-carcass components and hind limb tissues to empty body or hind limb, while b<1 indicates a lower growth rate of the investigated dependent variable. 5,16 Both GLM and nonlinear regression analyses were performed using SPSS 21.0 Programme (SPSS Inc., IBM, NY, USA).…”
Section: Statistical Analysesmentioning
confidence: 99%
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