Suppr超能文献

简报:牛奶、脂肪和蛋白质产量基因型与牛群饲养特性的相互作用。

Short communication: Interactions of milk, fat, and protein yield genotypes with herd feeding characteristics.

机构信息

Department of Dairy and Animal Science, The Pennsylvania State University, University Park 16802, Duluth, GA 30096, USA.

出版信息

J Dairy Sci. 2012 Mar;95(3):1559-64. doi: 10.3168/jds.2011-4758.

Abstract

Data from 879 Holstein cows from 11 tie-stall herds in Pennsylvania were analyzed to determine the effects of nutritional management practices on the level of genetic expression for milk, fat, and protein yields. Environments were defined according to the amount of dry matter refusals at the end of 24h for the average cow (DMR), diet crude protein percentage (CP), and diet NE(L) concentration. Sire predicted transmitting ability (PTA) was available for all cows, whereas 775 cows were genotyped and received a molecular breeding value (MBV) for milk, fat, and protein yields. Milk, fat, and protein yields were regressed on sire PTA and cow MBV independently in addition to combined breeding values (CBV) of sire PTA and cow MBV. Four-trait animal models with fat-corrected milk yield in high and low environments plus either body weight or body condition score in high and low environments treated as separate traits were also evaluated. Regressions on sire PTA (0.31 for fat yield to 0.54 for milk yield) were significantly lower in the 5 herds that had the lowest average DMR than in the 6 herds with highest average DMR (0.82 for fat yield to 1.11 for protein yield). The regressions of milk and protein yield on CBV were also significantly lower in the 5 herds with low NE(L) concentration in the ration than in herds that had high NE(L) concentration. Genetic correlations from animal models showed that large cows were more affected by low DMR, CP, and NE(L) concentration than smaller cows. Efforts to minimize feed wastage must ensure that cows receive adequate nutrient intake to avoid suppression of genetic potential for yield, particularly for larger cows.

摘要

对来自宾夕法尼亚州 11 个栓系牛舍的 879 头荷斯坦奶牛的数据进行了分析,以确定营养管理实践对牛奶、脂肪和蛋白质产量的遗传表达水平的影响。环境根据每头奶牛在 24 小时结束时的干物质拒绝量(DMR)、日粮粗蛋白百分比(CP)和日粮有效能(NE(L)浓度来定义。所有奶牛都有 sire 预测传递能力(PTA),而 775 头奶牛进行了基因型检测,并获得了牛奶、脂肪和蛋白质产量的分子育种值(MBV)。除了 sire PTA 和 cow MBV 的综合育种值(CBV)外,还分别对牛奶、脂肪和蛋白质产量进行 sire PTA 和 cow MBV 的独立回归以及 sire PTA 和 cow MBV 的联合回归。还评估了具有高环境和低环境下校正脂肪的牛奶产量以及高环境和低环境下的体重或身体状况评分的四性状动物模型,分别作为单独性状。在 DMR 平均值最低的 5 个牛群中, sire PTA(脂肪产量为 0.31,牛奶产量为 0.54)的回归值明显低于 DMR 平均值最高的 6 个牛群(脂肪产量为 0.82,蛋白质产量为 1.11)。在日粮中 NE(L)浓度较低的 5 个牛群中,牛奶和蛋白质产量对 CBV 的回归也明显低于 NE(L)浓度较高的牛群。动物模型的遗传相关表明,大奶牛比小奶牛更容易受到低 DMR、CP 和 NE(L)浓度的影响。减少饲料浪费的努力必须确保奶牛获得足够的营养摄入,以避免对产量的遗传潜力产生抑制,特别是对较大的奶牛。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验