School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.
J Anim Sci. 2018 Nov 21;96(11):4521-4531. doi: 10.1093/jas/sky325.
Genetic and phenotypic parameters for feed efficiency, growth, and carcass traits for Australian Angus beef cattle were estimated. Growth traits included birth weight (BWT), 200-d weight (200dWT), 400-d weight (400dWT), and 600-d weight (600dWT). Traits associated with feed efficiency were average daily weight gain (ADG), metabolic midweight, average of daily feed intake (FI), feed conversion ratio (FCR), residual feed intake (RFI), and residual gain (RG). Carcass traits involved were carcass eye muscle area (CEMA), carcass intramuscular fat (IMF), subcutaneous fat depths at the 12th/13th rib (CRIB), rump P8 fat depth (P8FAT), and carcass weight (CWT). For growth traits, heritability estimates ranged from 0.14 ± 0.03 for 200dWT to 0.48 ± 0.06 for 600dWT. For feed efficiency traits, direct heritability estimates for FI, FCR, RFI, and RG were 0.55 ± 0.08, 0.20 ± 0.06, 0.40 ± 0.07, and 0.19 ± 0.06, respectively. High heritability estimates were observed for CEMA, IMF, P8FAT, and CWT of 0.52 ± 0.09, 0.61 ± 0.09, 0.55 ± 0.09, and 0.66 ± 0.09, respectively. Strong positive genetic correlations were found for FI with 200dWT, 400dWT, and 600dWT of 0.68 ± 0.09, 0.42 ± 0.11, and 0.61 ± 0.07, respectively. Weak genetic correlations were observed between RFI and growth traits. For carcass traits, genetic correlations between RFI and CEMA, IMF, CRIB, P8FAT, CWT were -0.19 ± 0.14, 0.31 ± 0.14, 0.18 ± 0.16, 0.24 ± 0.13, and 0.40 ± 0.12, respectively. There was a tendency for low to moderate unfavorable genetic associations between feed efficiency traits, evaluated as RFI and RG, with growth and carcass traits. This implies that selection for RFI would have slight negative impacts on growth and reduce carcass quality. To avoid this, it would be necessary to build selection indices to select feed efficient animals without compromising growth and meat quality.
对澳大利亚安格斯肉牛的饲料效率、生长和胴体性状进行了遗传和表型参数估计。生长性状包括初生重(BWT)、200 日龄体重(200dWT)、400 日龄体重(400dWT)和 600 日龄体重(600dWT)。与饲料效率相关的性状包括平均日增重(ADG)、代谢中重、平均日采食量(FI)、饲料转化率(FCR)、剩余饲料摄入量(RFI)和剩余增重(RG)。胴体性状包括胴体眼肌面积(CEMA)、胴体肌内脂肪(IMF)、第 12/13 肋骨处的皮下脂肪深度(CRIB)、臀部 P8 脂肪深度(P8FAT)和胴体重(CWT)。对于生长性状,200dWT 的遗传力估计值为 0.14 ± 0.03,600dWT 的遗传力估计值为 0.48 ± 0.06。对于饲料效率性状,FI、FCR、RFI 和 RG 的直接遗传力估计值分别为 0.55 ± 0.08、0.20 ± 0.06、0.40 ± 0.07 和 0.19 ± 0.06。CEMA、IMF、P8FAT 和 CWT 的遗传力估计值较高,分别为 0.52 ± 0.09、0.61 ± 0.09、0.55 ± 0.09 和 0.66 ± 0.09。FI 与 200dWT、400dWT 和 600dWT 的遗传相关性很强,分别为 0.68 ± 0.09、0.42 ± 0.11 和 0.61 ± 0.07。RFI 与生长性状之间存在弱遗传相关性。对于胴体性状,RFI 与 CEMA、IMF、CRIB、P8FAT 和 CWT 的遗传相关性分别为-0.19 ± 0.14、0.31 ± 0.14、0.18 ± 0.16、0.24 ± 0.13 和 0.40 ± 0.12。RFI 与生长和胴体性状之间存在低到中等不利的遗传关联,被评估为 RFI 和 RG。这意味着选择 RFI 会对生长产生轻微的负面影响,并降低胴体质量。为避免这种情况,有必要建立选择指数,在不影响生长和肉质的情况下选择饲料效率高的动物。