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缩短采食量和增重数据的收集时间,以提高肉牛饲料效率选择的反应速度。

Reducing the period of data collection for intake and gain to improve response to selection for feed efficiency in beef cattle.

机构信息

USDA, ARS, USMARC, Genetics, Breeding, and Animal Health Research Unit, Clay Center, NE.

Department of Animal Science, Kansas State University, Manhattan, KS.

出版信息

J Anim Sci. 2018 Apr 3;96(3):854-866. doi: 10.1093/jas/skx077.

Abstract

Shortening the period of recording individual feed intake may improve selection response for feed efficiency by increasing the number of cattle that can be recorded given facilities of fixed capacity. Individual DMI and ADG records of 3,462 steers and 2,869 heifers over the entire intake recording period (range 62 to 154 d; mean 83 d; DMI83 and ADG83, respectively), DMI and ADG for the first 42 d of the recording period (DMI42 and ADG42, respectively), and postweaning ADG based on the difference between weaning and yearling weights (PADG) were analyzed. Genetic correlations among DMI42 and DMI83, ADG42 and ADG83, ADG42 and PADG, and ADG83 and PADG were 0.995, 0.962, 0.852, and 0.822, respectively. Four objective functions [feed:gain ratio in steers (FGS) and heifers (FGH); residual gain (RG); and residual feed intake (RFI)] based on DMI83 and ADG83 were considered. Indices using DMI42 and ADG42 (I42); DMI42 and PADG (IPW); and DMI42, ADG42, and PADG (IALL) were developed. Accuracy of the 5 EBV, 4 objectives, and 12 objective × index combinations were computed for all 12,033 animals in the pedigree. Accuracies of indices (IA) were summarized for animals with accuracies for objectives (OA) of 0.25, 0.5, 0.75, and 1. For the RG objective and animals with OA of 0.75, indices I42, IPW, and IALL had IA of 0.63, 0.55, and 0.67, respectively. Differences in IA increased with increased emphasis on ADG83 in the objective. Differences in IA between I42 and IPW usually increased with OA. Relative efficiency (RE) of selection on 42-d tests compared with 83 d was computed based on differences in IA and selection intensities of 5%, 25%, 50%, and 75% under the 83-d scenario, assuming 65% more animals could be tested for 42 d. For 25% selected for the RG objective, and animals with OA of 0.75, indices I42, IPW, and IALL had RE of 1.02, 0.90, and 1.10, respectively. As % selected, OA, and emphasis on DMI increased, RE increased. Relative efficiency varied considerably according to assumptions. One-half of the scenarios considered had RE > 1.15 with a maximum of 2.02 and 77% RE > 1.0. A shorter period of recording DMI can improve selection response for feed efficiency. Selection for the efficiency objectives would not affect PADG. It will be most effective if ADG over the period coinciding with intake recording and ADG over a much longer period of time are simultaneously included in a multiple-trait genetic evaluation with DMI and used in a selection index for efficiency.

摘要

缩短个体采食量记录的时间可能会增加可记录的牛的数量,从而提高饲料效率的选择反应,因为设施的固定容量。在整个采食量记录期间(范围 62 至 154 天;平均 83 天;分别为 DMI83 和 ADG83),对 3462 头公牛和 2869 头母牛的个体 DMI 和 ADG 记录,对记录期前 42 天的 DMI 和 ADG(分别为 DMI42 和 ADG42),以及断奶至育肥体重差异的断奶后 ADG(PADG)进行了分析。DMI42 和 DMI83、ADG42 和 ADG83、ADG42 和 PADG、ADG83 和 PADG 之间的遗传相关性分别为 0.995、0.962、0.852 和 0.822。考虑了基于 DMI83 和 ADG83 的四个目标函数[牛(FGS)和牛(FGH)的饲料:增益比;残差增益(RG);和残留采食量(RFI)]。开发了基于 DMI42 和 ADG42 的指数(I42);DMI42 和 PADG(IPW);和 DMI42、ADG42 和 PADG(IALL)。为系谱中的所有 12033 只动物计算了 5 个 EBV、4 个目标和 12 个目标×指数组合的准确性。为准确性为 0.25、0.5、0.75 和 1 的目标的动物总结了指数(IA)的准确性。对于 RG 目标和准确性为 0.75 的动物,I42、IPW 和 IALL 的 IA 分别为 0.63、0.55 和 0.67。随着目标中对 ADG83 的重视程度的增加,IA 的差异也会增加。I42 和 IPW 之间的 IA 差异通常会随着 OA 的增加而增加。基于 IA 和在 83 天方案下 5%、25%、50%和 75%的选择强度的差异,计算了与 83 天相比 42 天测试的相对效率(RE),假设可以为 42 天测试更多的动物。对于 RG 目标的 25%选择,以及准确性为 0.75 的动物,I42、IPW 和 IALL 的 RE 分别为 1.02、0.90 和 1.10。随着选择的百分比、OA 和对 DMI 的重视程度的增加,RE 也会增加。根据假设,RE 变化很大。考虑到的一半情况的 RE>1.15,最大值为 2.02,77%的 RE>1.0。缩短 DMI 记录时间可以提高饲料效率的选择反应。对效率目标的选择不会影响 PADG。如果在与采食量记录同时进行的时间段内同时包含 ADG 和 ADG 更长时间的多个性状遗传评估,并在效率选择指数中使用 DMI,则效果最佳。

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