Retallick K J, Bormann J M, Weaber R L, MacNeil M D, Bradford H L, Freetly H C, Hales K E, Moser D W, Snelling W M, Thallman R M, Kuehn L A
J Anim Sci. 2017 Apr;95(4):1444-1450. doi: 10.2527/jas.2016.1260.
Feed costs are a major economic expense in finishing and developing cattle; however, collection of feed intake data is costly. Examining relationships among measures of growth and intake, including breed differences, could facilitate selection for efficient cattle. Objectives of this study were to estimate genetic parameters for growth and intake traits and compare indices for feed efficiency to accelerate selection response. On-test ADFI and on-test ADG (TESTADG) and postweaning ADG (PWADG) records for 5,606 finishing steers and growing heifers were collected at the U.S. Meat Animal Research Center in Clay Center, NE. On-test ADFI and ADG data were recorded over testing periods that ranged from 62 to 148 d. Individual quadratic regressions were fitted for BW on time, and TESTADG was predicted from the resulting equations. We included PWADG in the model to improve estimates of growth and intake parameters; PWADG was derived by dividing gain from weaning weight to yearling weight by the number of days between the weights. Genetic parameters were estimated using multiple-trait REML animal models with TESTADG, ADFI, and PWADG for both sexes as dependent variables. Fixed contemporary groups were cohorts of calves simultaneously tested, and covariates included age on test, age of dam, direct and maternal heterosis, and breed composition. Genetic correlations (SE) between steer TESTADG and ADFI, PWADG and ADFI, and TESTADG and PWADG were 0.33 (0.10), 0.59 (0.06), and 0.50 (0.09), respectively, and corresponding estimates for heifers were 0.66 (0.073), 0.77 (0.05), and 0.88 (0.05), respectively. Indices combining EBV for ADFI with EBV for ADG were developed and evaluated. Greater improvement in feed efficiency can be expected using an unrestricted index versus a restricted index. Heterosis significantly affected each trait contributing to greater ADFI and TESTADG. Breed additive effects were estimated for ADFI, TESTADG, and the efficiency indices.
饲料成本是育肥牛和生长牛的一项主要经济支出;然而,收集采食量数据成本高昂。研究生长指标与采食量之间的关系,包括品种差异,有助于高效牛的选育。本研究的目的是估计生长和采食量性状的遗传参数,并比较饲料效率指数以加快选择反应。在美国内布拉斯加州克莱中心的肉类动物研究中心,收集了5606头育肥牛和生长母牛的试验期间平均日采食量(ADFI)、试验期间平均日增重(TESTADG)和断奶后平均日增重(PWADG)记录。试验期间平均日采食量和平均日增重数据记录的试验期为62至148天。对体重随时间进行个体二次回归拟合,并根据所得方程预测TESTADG。我们将PWADG纳入模型以改进生长和采食量参数的估计;PWADG是通过将断奶体重到周岁体重的增重除以两次体重之间的天数得出的。使用多性状REML动物模型估计遗传参数,以TESTADG、ADFI和PWADG作为两个性别的因变量。固定同期组为同时进行测试的犊牛群组,协变量包括测试时的年龄、母牛年龄、直接和母体杂种优势以及品种组成。阉公牛TESTADG与ADFI、PWADG与ADFI以及TESTADG与PWADG之间的遗传相关性(标准误)分别为0.33(0.10)、0.59(0.06)和0.50(0.09),母牛的相应估计值分别为0.66(0.073)、0.77(0.05)和0.88(0.05)。开发并评估了将ADFI的估计育种值(EBV)与ADG的EBV相结合的指数。与限制指数相比,使用无限制指数有望在饲料效率方面取得更大的改进。杂种优势显著影响了对ADFI和TESTADG有贡献的每个性状。估计了ADFI、TESTADG和效率指数的品种加性效应。