用随机回归模型估计未成年乳山羊每周体重的变异成分和遗传参数
Chrilukovian B Wasike1, Ruth Wambui Waineina2, Kiplangat Ngeno3
1Livestock Efficiency Enhancement Group (LEEG), Department of Animal and Fisheries Sciences, Maseno University, Maseno, Kenya.
概括
改善奶山的生长是未来生产率的关键. 这项研究估计了幼山羊生长的遗传参数,显示了基于早期体重测量的选择性繁殖的潜力.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 畜牧科学 畜牧科学 畜牧科学
背景情况:
- 奶羊改进计划优先考虑牛奶和生育能力,而不是生长特征.
- 青少年生长表现显著影响到成熟的生殖成功.
- 了解生长的遗传参数对于育种计划至关重要.
研究的目的:
- 估计幼乳山羊生长的变异成分和遗传参数.
- 提供数据,以便纳入国家乳山羊改进计划.
- 根据生长特征评估选择性繁殖的潜力.
主要方法:
- 收集了453只山羊的4072个每周体重记录 (萨安纳,托根堡,阿尔卑斯山,杂交).
- 应用单变量随机回归分析,包括直接添加剂,母性遗传和永久性环境影响.
- 整个生长轨迹 (1-16周) 的估计变异成分和遗传参数.
主要成果:
- 现型,附加遗传,母系遗传和永久性环境变异随着年龄的增长而增加.
- 差异比率表明了显著的附加遗传 (0.015-0.469),母系遗传 (0.097-0.204) 和永久的环境 (0.407-0.641) 影响.
- 在每周重量测试中观察到添加基因和母体遗传效应的高正相关性.
结论:
- 在每周的重量中存在足够的遗传变异,以便在奶山羊中进行有效的选择性繁殖.
- 早期的每周重量可以用于选择,以改善以后的生长性能,因为高附加性遗传相关性.
- 将生长特征数据纳入育种计划可以提高奶山羊的整体生产力.
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