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Managing Consequences of Increasing Litter Size: A Genetic Perspective

机译:增加垃圾尺寸的后果:遗传观点

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Selection for efficient lean growth and litter size can have detrimental consequences for piglet survival. However, survival traits themselves are lowly heritable, making it possible to select for improved survival directly in breeding programs. The generally low magnitudes of unfavourable genetic correlations between traits indicate it is possible to achieve genetic gains in production, litter size and survival traits concurrently. To select for piglet survival successfully requires the implementation of extensive data recording for individual mortality, combined with best-linear unbiased prediction (BLUP) genetic evaluation methodology. Accurate genetic evaluation of piglet mortality is complicated by the categorical nature of some trait definitions, low heritability, the large scale of recording required, population specific management and cross-fostering effects, and potentially the presence of both piglet and sow related genetic and environmental components affecting outcomes. In addition, while prenatal, postnatal and late lactation phases of piglet survival are not strictly independent events, the best approach to selection might differ depending on the relative contributions of each phase to piglet deaths. It is unlikely that there is a generic approach which is universally optimal for all breeding operations. The combination of high performance computing and inexpensive data storage has increased capabilities to apply more complex genetic evaluation procedures, which continue to alter possibilities for selection in this area. However, the efficacy of the chosen strategy should be validated in commercial populations. All breeding companies agree that a balanced breeding goal will include strategies to reduce piglet losses.
机译:有效的精益增长和凋落物尺寸的选择可能对仔猪存活率产生不利影响。然而,存活特征本身是卑微的遗传性,使得可以直接在育种计划中进行改善的生存。特征之间的通常不利遗传相关性的较低大小表明可以同时实现生产,凋落物尺寸和存活特征的遗传增益。为了选择仔猪生存,成功需要实现广泛的个人死亡率数据记录,结合最佳线性的无偏的预测(BLUP)遗传评估方法。精确的瞳孔死亡率评估仔猪死亡率是一些特质定义,低遗传性,需要大规模的记录,人口特异性管理和交叉培养效果的复杂性,并且可能存在仔猪和播种相关遗传和环境组分的存在影响结果。此外,虽然仔猪存活率的产前,后期和晚期哺乳期阶段不是严格的独立事件,但选择的最佳方法可能因每种阶段与仔猪死亡的相对贡献而有所不同。不太可能存在一种通用方法,这对于所有繁殖操作普遍最佳。高性能计算和廉价数据存储的组合具有增加的能力,以应用更复杂的遗传评估程序,这继续改变该区域中选择的可能性。然而,应在商业人群中验证所选战略的功效。所有育种公司都同意平衡的育种目标将包括减少仔猪损失的策略。

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