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基于牛的数字图像预测全胴体切块的遗传变异。

Genetic variation in wholesale carcass cuts predicted from digital images in cattle.

机构信息

The Irish Cattle Breeding Federation, Highfield House, Bandon, Co. Cork, Ireland.

出版信息

Animal. 2011 Sep;5(11):1720-7. doi: 10.1017/S1751731111000917.

Abstract

The objective of this study was to quantify the genetic variation in carcass cuts predicted using digital image analysis in commercial cross-bred cattle. The data set comprised 38,404 steers and 14,318 heifers from commercial Irish herds. The traits investigated included the weights of lower value cuts (LVC), medium value cuts (MVC), high value cuts (HVC), very high value cuts (VHVC) and total meat weight. In addition, the weights of total fat and total bones were available on the steers. Heritability of carcass cut weights, within gender, was estimated using an animal linear model, whereas genetic and phenotypic correlations among cuts were estimated using a sire linear model. Carcass weight was included as a covariate in all models. In the steers, heritability ranged from 0.13 (s.e. = 0.02) for VHVC to 0.49 (s.e. = 0.03) for total bone weight, and in the heifers heritability ranged from 0.15 (s.e. = 0.04) for MVC to 0.72 (s.e. = 0.06) for total meat weight. The coefficient of genetic variation for the different cuts varied from 1.4% to 3.6%. Genetic correlations between the different cut weights were all positive and ranged from 0.45 (s.e. = 0.08) to 0.89 (s.e. = 0.03) in the steers, and from 0.47 (s.e. = 0.14) to 0.82 (s.e. = 0.06) in the heifers. Genetic correlations between the wholesale cut weights and carcass conformation ranged from 0.32 (s.e. = 0.06) to 0.45 (s.e. = 0.07) in the steers, and from 0.10 (s.e. = 0.12) to 0.38 (s.e. = 0.09) in the heifers. Genetic correlations between the same wholesale cut traits in steers and heifers ranged from 0.54 (s.e. = 0.14) for MVC to 0.79 (s.e. = 0.06) for total meat weight; genetic correlations between carcass weight and carcass classification for conformation and fat score in both genders varied from 0.80 to 0.87. The existence of genetic variation in carcass cut traits, coupled with the routine availability of predicted cut weights from digital image analysis, clearly shows the potential to genetically improve carcass value.

摘要

本研究旨在量化使用数字图像分析预测的胴体切割的遗传变异,该研究使用了来自商业爱尔兰牛群的 38404 头阉牛和 14318 头小母牛的数据。所研究的性状包括低价值切割(LVC)、中价值切割(MVC)、高价值切割(HVC)、超高价值切割(VHVC)和总肉重。此外,还获得了阉牛的总脂肪和总骨骼重量。使用动物线性模型估计了性别内胴体切割重量的遗传力,而使用 sire 线性模型估计了切割之间的遗传和表型相关性。所有模型均将胴体重作为协变量。在阉牛中,遗传力从 VHVC 的 0.13(s.e. = 0.02)到总骨骼重量的 0.49(s.e. = 0.03)不等,而在小母牛中,遗传力从 MVC 的 0.15(s.e. = 0.04)到总肉重的 0.72(s.e. = 0.06)不等。不同切割的遗传变异系数从 1.4%到 3.6%不等。不同切割重量之间的遗传相关性均为正相关,在阉牛中从 0.45(s.e. = 0.08)到 0.89(s.e. = 0.03)不等,在小母牛中从 0.47(s.e. = 0.14)到 0.82(s.e. = 0.06)不等。在阉牛中,批发切割重量和胴体结构之间的遗传相关性从 0.32(s.e. = 0.06)到 0.45(s.e. = 0.07)不等,在小母牛中从 0.10(s.e. = 0.12)到 0.38(s.e. = 0.09)不等。在阉牛和小母牛中,同一批发切割性状之间的遗传相关性从 MVC 的 0.54(s.e. = 0.14)到总肉重的 0.79(s.e. = 0.06)不等;在两性中,胴体重与胴体分类的遗传相关性和脂肪评分从 0.80 到 0.87 不等。胴体切割性状存在遗传变异,再加上数字图像分析预测切割重量的常规可用性,这清楚地表明了通过遗传改良胴体价值的潜力。

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