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首页> 美国卫生研究院文献>Journal of Animal Science >96 Development of genomics-based precision management model for Hanwoo steers; response to the divergent selection for marbling tested under different dietary energy levels
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96 Development of genomics-based precision management model for Hanwoo steers; response to the divergent selection for marbling tested under different dietary energy levels

机译：96 WANWOO Steers基于基于基于基于基于基于基于基于基于Genomics的精密管理模型的开发;在不同饮食能级下测试大理石浆果的发散选择

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Focusing high marble deposition, Hanwoo feedlot system uses high-energy diet over the prolonged fattening period. However, due to the individual genetic variation, around 40% of them are graded into inferior quality grades (QG), despite they utilized the same resources. Therefore, focusing to develop a genomic-based precision management model, this study was to evaluate the response to the divergent selection on genetic merit for marbling score (MS), under different dietary TDN (total digestible nutrient) levels. Total of 112 calves were genotyped and initially grouped for estimated breeding value (high and low) for marbling score (MS-EBV). Subsequently, managed under two levels of feed TDN%, over the growing period, early, middle, and final fattening periods following 2X2 factorial arrangement (figure 1). Carcasses were evaluated for MS, Backfat thickness (BFT) and Korean beef quality grading standard. As the direct response to the selection was significant, the results confirmed the importance of initial genetic grouping of Hanwoo steers for MS-EBV. However, dietary TDN level did not show an effect (P > 0.05) on the MS. Further, no genetic-by-nutrition interaction for MS (P > 0.05) was also observed. The present results showed no correlation response on BFT (P > 0.05), indicating that the selection based on MS-EBV can be used to enhance the MS without undesirable effect on BFT. Ultimate turnover of the Hanwoo feedlot operation is primarily determined by the QGs. The present model shows that the initial grouping for MS-EBV increased the proportion of carcasses graded for higher QGs (QG1++ and QG1+) by approximately 20%. Moreover, there appears to be a potential to increase the proportion of QG 1++ animals among the high-genetic group by further increasing the dietary energy content. Overall, this precision management strategy suggests the importance of adopting an MS based initial genetic grouping system for Hanwoo steers with a subsequent divergent management based on dietary energy level.
机译：聚焦高大理石沉积，HANWOO饲养场系统采用高能量饮食在长期育肥期。然而，由于个体的遗传变异，大约40％的人被分级为低劣质量等级（QG），尽管它们使用相同的资源。因此，聚焦到开发基于基因组精度管理模式，这一研究的目的是评估响应于遗传优点为大理石花纹（MS）发散选择，在不同的膳食TDN（总可消化营养素）的水平。的112头小牛总进行基因分型，最初为分组估计育种值（高和低），用于大理石花纹（MS-EBV）。随后，下的进料TDN％两级管理，在生长期，早，中，和最后育肥期以下2X2因子排列（图1）。屠体的MS，背膘厚度（BFT）和韩语牛肉质量分级标准进行了评价。至于选择的直接反应是显著，结果证实HANWOO转向的MS-EBV的初始遗传分组的重要性。然而，膳食TDN水平没有表现出对MS的影响（P> 0.05）。此外，对于MS（P> 0.05）无遗传逐营养相互作用也进行了观察。本结果表明上BFT（P> 0.05）无相关性响应，表示基于MS-EBV的选择可以被用于增强而对BFT不期望的影响的MS。所述HANWOO饲养场操作的最终成交主要由资历组别确定。本模型表明，对于MS-EBV初始分组约20％分级更高的资历组别（QG1 ++和QG1 +）屠体的比例增加。此外，似乎存在通过进一步增加膳食能量含量增加QG 1 ++动物高遗传组之间的比例的电位。总体而言，该精度管理策略建议基于膳食能量电平为采用阉牛HANWOO一个基于MS的初始遗传分组系统与随后发散管理的重要性。

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