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将采食量和效率纳入多性状综合选择的方法及后果。

Methods and consequences of including feed intake and efficiency in genetic selection for multiple-trait merit.

机构信息

Animal Genetics and Breeding Unit (A joint venture of NSW Department of Primary Industries and the University of New England), University of New England, Armidale, NSW Australia.

出版信息

J Anim Sci. 2018 May 4;96(5):1600-1616. doi: 10.1093/jas/sky049.

Abstract

Methods are presented for including feed intake and efficiency in genetic selection for multiple-trait merit when commercial production is from any combination of pasture or concentrates. Consequences for the production system and for individual animals are illustrated with a beef cattle example. Residual feed intake at pasture (RFI-p), residual feed intake in the feedlot (RFI-f), and cow condition score are additional traits of the breeding objective. Feed requirement change is costed in the economic values of other objective traits. Selection responses are examined when feed costs are ignored, partially or fully included in the breeding objective, and when net feed intake (NFI) EBVs are added to the index. When all feed cost was included and NFI EBVs were in the index, selection (with selection intensity, i = 1) increased production system $ net return by 6.0%, $ per unit of product by 5.2%, $ per unit of feed by 6.6%, total product by 0.7% and product per unit of feed by 1.3%. There was little change in production system total feed. When feed cost was ignored, selection decreased production system $ net return, $ per unit of product, and $ per unit of feed. At the individual trait level, when feed was fully included there were increases in weaning weight-direct (0.8 kg), feedlot entry weight (1.4 kg), dressing % (0.04%), carcass meat % (0.36%), carcase fat depth (0.12 mm), carcass marbling score (0.02 score), cow condition score (0.01 score), calving ease-direct (0.97%), calving ease-maternal (0.22%) and cow weaning rate (1.3%), and decreases in weaning weight-maternal (-0.9 kg), RFI-p (-0.09 kg DM/d), RFI-f (-0.11 kg DM/d), sale weight (-1.6 kg) and cow weight (-8.7 kg). Gains were evident over a range of feed price. Selection for $ net return also increased $ net return per unit of feed, suggesting that $ net return per unit area would increase in grazing industries. Feed cost for trait change was the source of a major genotype × environment interaction affecting animal rankings. Where industry production environments vary, and feed cost for trait change varies with the environment, we recommend that industry indexes be derived for more than one level of feed cost. Cow condition score did not decline while biological and economic efficiency of the production system and individual animal were improving, suggesting that efficiency can be improved under multiple-trait selection without compromising breeding cow welfare.

摘要

方法介绍了在商业生产中从牧场或浓缩物的任何组合中进行多性状综合选择时,如何将饲料摄入量和效率纳入其中。用肉牛实例说明了对生产系统和个体动物的影响。牧场剩余采食量(RFI-p)、育肥场剩余采食量(RFI-f)和奶牛体况评分是选育目标的附加性状。饲料需求变化在其他目标性状的经济价值中进行成本核算。当忽略饲料成本、部分或全部纳入选育目标以及添加净饲料摄入量(NFI)EBV 时,检查了选择响应。当所有饲料成本都包括在内,并且 NFI EBV 都在指数中时,选择(选择强度 i=1)使生产系统的$净回报增加了 6.0%,$单位产品增加了 5.2%,$单位饲料增加了 6.6%,总产品增加了 0.7%,单位饲料产品增加了 1.3%。生产系统总饲料几乎没有变化。当忽略饲料成本时,选择会降低生产系统的$净回报、$单位产品和$单位饲料。在个体性状水平上,当完全包含饲料时,断奶重直接(0.8 公斤)、育肥场进场重(1.4 公斤)、出肉率(0.04%)、胴体肉%(0.36%)、胴体脂肪深度(0.12 毫米)、胴体大理石纹评分(0.02 分)、奶牛体况评分(0.01 分)、分娩容易度直接(0.97%)、分娩容易度母本(0.22%)和奶牛断奶率(1.3%)增加,而断奶重母本(-0.9 公斤)、RFI-p(-0.09 公斤 DM/d)、RFI-f(-0.11 公斤 DM/d)、销售体重(-1.6 公斤)和奶牛体重(-8.7 公斤)减少。在一系列饲料价格范围内都有明显的收益。对$净回报的选择也增加了$单位饲料的净回报,这表明在放牧行业中,单位面积的$净回报将会增加。性状变化的饲料成本是影响动物排名的主要基因型×环境互作的来源。在行业生产环境不同,性状变化的饲料成本随环境变化的情况下,我们建议为多个饲料成本水平制定行业指数。在提高生产系统和个体动物的生物学和经济效率的同时,奶牛体况评分并没有下降,这表明在多性状选择下可以提高效率,而不会损害繁殖奶牛的福利。

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