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首页> 外文期刊>Animal >Genetic relationships between carcass cut weights predicted from video image analysis and other performance traits in cattle.
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Genetic relationships between carcass cut weights predicted from video image analysis and other performance traits in cattle.

机译:通过视频图像分析预测的car体重量与牛的其他生产性状之间的遗传关系。

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The objective of this study was to quantify the genetic associations between a range of carcass-related traits including wholesale cut weights predicted from video image analysis (VIA) technology, and a range of pre-slaughter performance traits in commercial Irish cattle. Predicted carcass cut weights comprised of cut weights based on retail value: lower value cuts (LVC), medium value cuts (MVC), high value cuts (HVC) and very high value cuts (VHVC), as well as total meat, fat and bone weights. Four main sources of data were used in the genetic analyses: price data of live animals collected from livestock auctions, live-weight data and linear type collected from both commercial and pedigree farms as well as from livestock auctions and weanling quality recorded on-farm. Heritability of carcass cut weights ranged from 0.21 to 0.39. Genetic correlations between the cut traits and the other performance traits were estimated using a series of bivariate sire linear mixed models where carcass cut weights were phenotypically adjusted to a constant carcass weight. Strongest positive genetic correlations were obtained between predicted carcass cut weights and carcass value (min rg(MVC)=0.35; max rg(VHVC)=0.69), and animal price at both weaning (min rg(MVC)=0.37; max rg(VHVC)=0.66) and post weaning (min rg(MVC)=0.50; max rg(VHVC)=0.67). Moderate genetic correlations were obtained between carcass cut weights and calf price (min rg(HVC)=0.34; max rg(LVC)=0.45), weanling quality (min rg(MVC)=0.12; max rg(VHVC)=0.49), linear scores for muscularity at both weaning (hindquarter development: min rg(MVC)=-0.06; max rg(VHVC)=0.46), post weaning (hindquarter development: min rg(MVC)=0.23; max rg(VHVC)=0.44). The genetic correlations between total meat weight were consistent with those observed with the predicted wholesale cut weights. Total fat and total bone weights were generally negatively correlated with carcass value, auction prices and weanling quality. Total bone weight was, however, positively correlated with skeletal scores at weaning and post weaning. These results indicate that some traits collected early in life are moderate-to-strongly correlated with carcass cut weights predicted from VIA technology. This information can be used to improve the accuracy of selection for carcass cut weights in national genetic evaluations.
机译:这项研究的目的是量化一系列of体相关性状之间的遗传关联,这些性状包括通过视频图像分析(VIA)技术预测的批发体重,以及商业爱尔兰牛的一系列屠宰前性状。预测的cas体重量包括基于零售价值的重量:低价值线(LVC),中价值线(MVC),高价值线(HVC)和极高价值线(VHVC),以及肉,脂肪和骨重。遗传分析使用了四个主要数据来源:从牲畜拍卖中收集的活畜价格数据,从商业和家谱农场以及牲畜拍卖中收集的活体重量数据和线性类型,以及农场记录的断奶质量。 cut体切块重量的遗传力范围为0.21至0.39。使用一系列双变量父亲线性混合模型估计estimated割性状与其他表现性状之间的遗传相关性,其中car体割重经表型调整为恒定car体重量。 predicted体预测体重与car体值之间的最强正相关性(最小r g(MVC) = 0.35;最大r g(VHVC) = 0.69)与动物之间断奶时的价格(最低r g(MVC) = 0.37;最高r g(VHVC) = 0.66)和断奶后价格(最低r g(MVC) = 0.50;最大r g(VHVC) = 0.67)。 cut体体重与犊牛价格之间具有中等遗传相关性(最小r g(HVC) = 0.34;最大r g(LVC) = 0.45),断奶品质(最小r g(MVC) = 0.12;最大r g(VHVC) = 0.49),断奶时肌肉的线性评分(后肢发育:最小r g( MVC) =-0.06;最大r g(VHVC) = 0.46),断奶后(后期发育:最小r g(MVC) = 0.23;最大r g(VHVC) = 0.44)。肉的总重量之间的遗传相关性与通过预测的批发切割重量所观察到的一致。总脂肪和总骨重通常与car体价值,拍卖价格和断奶质量呈负相关。然而,总骨重与断奶时和断奶后骨骼分数呈正相关。这些结果表明,在生命早期收集的某些特征与通过VIA技术预测的cut体减重具有中等至强相关性。在国家遗传评估中,该信息可用于提高cut体体重选择的准确性。

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