首页> 外文期刊>Journal of dairy science >Genetic Association of Clinical Mastitis with Test-Day Somatic Cell Score and Milk Yield During First Lactation of Finnish Ayrshire Cows
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Genetic Association of Clinical Mastitis with Test-Day Somatic Cell Score and Milk Yield During First Lactation of Finnish Ayrshire Cows

机译:芬兰艾尔郡母牛初次泌乳期间临床乳腺炎与测试日体细胞评分和产奶量的遗传关联

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In this study the genetic association during lactation of 2 clinical mastitis (CM) traits: CM1 (7 d before to 30 d after calving) and CM2 (31 to 300 d after calving) with test-day somatic cell score (SCS) and milk yield (MY) was assessed using multitrait random regression sire models. The data analyzed were from 27,557 first-lactation Finnish Ayrshire cows. Random regressions on second- and third-order Legendre polynomials were used to model the daily genetic and permanent environmental variances of test-day SCS and MY, respectively, while only the intercept term was fitted for CM. Results showed that genetic correlations between CM and the test-day traits varied during lactation. Genetic correlations between CM1 and CM2 and test-day SCS during lactation varied from 0.41 to 0.77 and from 0.34 to 0.71, respectively. Genetic correlations of test-day MY with CM1 and CM2 ranged from 0.13 to 0.51 and from 0.49 to 0.66, respectively. Correlations between CM1 and SCS were strongest during early lactation, whereas correlations between CM2 and SCS were strongest in late lactation. Genetic correlations lower than unity indicate that CM and SCS measure different aspects of the trait mastitis. Milk yield in early lactation was more strongly correlated with both CM1 and CM2 than milk yield in later lactation. This suggests that selection for higher lactation MY through selection on increased milk yield in early lactation will have a more deleterious effect on genetic resistance to mastitis than selection for higher yield in late lactation. The approach used in this study for the estimation of the genetic associations between test-day and CM traits could be used to combine information from traits with different data structures, such as test-day SCS and CM traits in a multitrait random regression model for the genetic evaluation of udder health.
机译:在这项研究中,哺乳期间的两种临床乳腺炎(CM)性状的遗传关联:CM1(产犊前7 d至产后30 d)和CM2(产犊后31-300 d)与测试日的体细胞评分(SCS)和牛奶使用多特征随机回归父亲模型评估产量(MY)。分析的数据来自27,557头首次泌乳的芬兰Ayrshire母牛。使用二阶和三阶勒让德多项式的随机回归分别模拟测试日SCS和MY的每日遗传和永久环境方差,而仅截距项适用于CM。结果表明,泌乳过程中CM与测试日性状之间的遗传相关性有所不同。泌乳期间CM1和CM2与测试日SCS之间的遗传相关性分别为0.41至0.77和0.34至0.71。测试日MY与CM1和CM2的遗传相关性分别为0.13至0.51和0.49至0.66。 CM1和SCS之间的相关性在哺乳初期最为强,而CM2和SCS之间的相关性在哺乳后期最为强。遗传相关性低于统一性,表明CM和SCS可以测量性状乳腺炎的不同方面。哺乳初期的产奶量与CM1和CM2的相关性高于后期哺乳的产奶量。这表明通过选择在早期泌乳期增加产奶量来选择较高泌乳率的MY,比选择在晚期泌乳期增加产奶量对乳腺炎的遗传抗性具有更大的危害。本研究中用于估计测试日和CM性状之间遗传关联的方法可用于结合来自具有不同数据结构的性状的信息,例如在多性状随机回归模型中测试日的SCS和CM特性。乳房健康的基因评估。

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