Dipartimento S.En.Fi.Mi.Zo.-Sezione Produzioni Animali, Università degli Studi di Palermo, Palermo, Italy.
Genet Sel Evol. 2010 Jul 26;42(1):30. doi: 10.1186/1297-9686-42-30.
Somatic cell score (SCS) has been promoted as a selection criterion to improve mastitis resistance. However, SCS from healthy and infected animals may be considered as separate traits. Moreover, imperfect sensitivity and specificity could influence animals' classification and impact on estimated variance components. This study was aimed at: (1) estimating the heritability of bacteria negative SCS, bacteria positive SCS, and infection status, (2) estimating phenotypic and genetic correlations between bacteria negative and bacteria positive SCS, and the genetic correlation between bacteria negative SCS and infection status, and (3) evaluating the impact of imperfect diagnosis of infection on variance component estimates.
Data on SCS and udder infection status for 1,120 ewes were collected from four Valle del Belice flocks. The pedigree file included 1,603 animals. The SCS dataset was split according to whether animals were infected or not at the time of sampling. A repeatability test-day animal model was used to estimate genetic parameters for SCS traits and the heritability of infection status. The genetic correlation between bacteria negative SCS and infection status was estimated using an MCMC threshold model, implemented by Gibbs Sampling.
The heritability was 0.10 for bacteria negative SCS, 0.03 for bacteria positive SCS, and 0.09 for infection status, on the liability scale. The genetic correlation between bacteria negative and bacteria positive SCS was 0.62, suggesting that they may be genetically different traits. The genetic correlation between bacteria negative SCS and infection status was 0.51. We demonstrate that imperfect diagnosis of infection leads to underestimation of differences between bacteria negative and bacteria positive SCS, and we derive formulae to predict impacts on estimated genetic parameters.
The results suggest that bacteria negative and bacteria positive SCS are genetically different traits. A positive genetic correlation between bacteria negative SCS and liability to infection was found, suggesting that the approach of selecting animals for decreased SCS should help to reduce mastitis prevalence. However, the results show that imperfect diagnosis of infection has an impact on estimated genetic parameters, which may reduce the efficiency of selection strategies aiming at distinguishing between bacteria negative and bacteria positive SCS.
体细胞评分(SCS)已被推广为提高乳腺炎抗性的选择标准。然而,健康动物和感染动物的 SCS 可能被视为两个不同的性状。此外,不完善的敏感性和特异性可能会影响动物的分类和对估计方差分量的影响。本研究旨在:(1)估计细菌阴性 SCS、细菌阳性 SCS 和感染状态的遗传力;(2)估计细菌阴性和细菌阳性 SCS 之间的表型和遗传相关性,以及细菌阴性 SCS 和感染状态之间的遗传相关性;(3)评估感染诊断不完善对方差分量估计的影响。
从四个 Valle del Belice 羊群中收集了 1120 只母羊的 SCS 和乳房感染状态数据。系谱文件包括 1603 只动物。根据采样时动物是否感染,将 SCS 数据集分为感染和未感染两类。采用重复测试日动物模型估计 SCS 性状的遗传参数和感染状态的遗传力。使用 MCMC 阈值模型(通过 Gibbs 抽样实现)估计细菌阴性 SCS 和感染状态之间的遗传相关性。
在以潜在率为单位时,细菌阴性 SCS 的遗传力为 0.10,细菌阳性 SCS 的遗传力为 0.03,感染状态的遗传力为 0.09。细菌阴性和细菌阳性 SCS 之间的遗传相关性为 0.62,表明它们可能是遗传上不同的性状。细菌阴性 SCS 和感染状态之间的遗传相关性为 0.51。我们证明了感染诊断不完善会导致细菌阴性和细菌阳性 SCS 之间差异的低估,并推导出预测对估计遗传参数影响的公式。
结果表明,细菌阴性和细菌阳性 SCS 是遗传上不同的性状。发现细菌阴性 SCS 与感染易感性之间存在正遗传相关性,这表明选择 SCS 降低的动物的方法应该有助于降低乳腺炎的患病率。然而,结果表明感染诊断不完善会对估计遗传参数产生影响,这可能会降低区分细菌阴性和细菌阳性 SCS 的选择策略的效率。