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中红外光谱预测乳腺炎表型和相关特征的遗传参数
Lisa Rienesl1, Birgit Fuerst-Waltl1, Gábor Mészáros1
1Institute of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna, Austria.
概括
乳牛乳腺健康的遗传选择至关重要. 虽然新的中红外光谱 (MIR) 数据显示出潜力,但它们对乳腺炎的遗传改善的附加值,超出传统的体细胞计数 (SCC) 评分,似乎有限.
科学领域:
- 动物遗传学和动物繁殖
- 乳制品科学 乳制品科学
- 兽医流行病学 兽医流行病学
背景情况:
- 乳腺炎是一种流行乳牛疾病,但其遗传率低,直接数据有限,需要遗传评估的辅助特征.
- 通常使用的是体细胞计数 (SCC) 和衍生得分 (SCS),而中红外 (MIR) 光谱数据为预测乳腺炎概率和估计乳酸 (LF) 提供了潜力.
研究的目的:
- 估计临床乳腺炎诊断 (CM),SCS,MIR预测乳腺炎概率 (MIRprob),MIR+SCS预测乳腺炎概率 (MIRSCSprob) 的遗传性 (h2) 和遗传相关性 (ra).
- 评估MIR衍生的特征作为辅助特征对Fleckvieh奶牛乳腺健康的遗传改善的有用性.
主要方法:
- 利用了来自约54,000头奥地利Fleckvieh奶牛 (2014-2021) 的例行牛奶记录和健康数据.
- 应用了两种变异的线性动物模型来估计连续特征的遗传参数 (SCS,MIRprob,MIRSCSprob,LF) 和二进制CM的哺乳模型.
- 将固定效应 (年季,平价年龄) 和随机效应 (动物遗传,永久环境,群年/群测试日) 纳入模型.
主要成果:
- 对CM的遗传性低 (h2=0.02),而SCS和MIRSCSprob显示中等遗传性 (0.23-0.25),MIRprob和LF的遗传性较低 (0.15-0.17).
- 在CM和SCS/MIRSCSprob (ra=0.85-0.88) 之间发现了高度的遗传相关性.
- 在CM和MIRprob (ra=0.26-0.37) 之间观察到中度的遗传相关性,以及与LF的低相关性 (ra=0.10-0.11).
结论:
- 根据MIR预测的乳腺炎概率和乳酸铁素显示中度到低的遗传性和与临床乳腺炎的遗传相关性.
- 尽管有潜力,但当前的MIR衍生的表型在与SCS.等既定特征相比,对乳头健康的遗传评估提供了有限的附加值.
- 进一步的研究可能会探索精细的MIR数据应用或组合的选择策略,以提高乳腺健康的遗传改善.
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