揭示泰国原生公精液特征的遗传结构:使用随机回归和分支函数模型进行全面分析
Iin Mulyawati Daryatmo1, Jiraporn Juiputta1, Vibuntita Chankitisakul1,2
1Department of Animal Science, Faculty of Agriculture, Khon Kean University, Khon Kean 40002, Thailand.
Animals : an open access journal from MDPI
|October 16, 2024
概括
开发泰国本土的遗传模型可以改善精液特征. SP8模型最好地估计了选的遗传参数,从而提高了家禽生产.
科学领域:
- 动物遗传学动物遗传学
- 禽畜科学 禽畜科学 禽畜科学
- 生殖生物学 生殖生物学
背景情况:
- 优化家禽生产需要改善本土的繁殖特征.
- 当前本地繁殖的局限性需要基因进步.
- 精液质量和数量是男性生殖效率的关键指标.
研究的目的:
- 开发一种基因模型,用于估计泰国本土的遗传参数.
- 为了指导泰国原生的选择,以改善其生殖特征.
- 确定用于评估精液特征的最有效的统计模型.
主要方法:
- 在54周内利用了242只泰国原生祖父母 (年龄为1-4岁) 的3475条记录.
- 评估的精液特征:质量运动,精液体积和精子度.
- 应用了一种随机回归测试日模型,其中包含五个协差函数,包括线性斜线 (SP4,SP5,SP6,SP8) 和莱根德多项式 (LG2) 函数.
主要成果:
- SP8模型在所有精液特征中表现出卓越的性能,表现出最低的平均平方误差和最高的预测能力.
- 对质量运动,精液量和精子度的遗传概率估计在0.10-0.25之间,表明基因影响中等.
- 在精子体积和精子度之间,以及在质量运动和精子体积之间观察到高度的遗传相关性,这表明了选择潜力.
结论:
- 具有线性斜线函数的随机回归模型对于评估泰国的精液特征的遗传参数是有效的.
- SP8模型为养殖者提供了一个强大的框架,以提高泰国本土的繁殖性能.
- 提高本土的繁殖效率有助于可持续的家禽生产系统.
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