Negussie E, Strandén I, Mäntysaari E A
MTT Agrifood Research Finland, Biotechnology and Food Research, Biometrical Genetics, 31600 Jokioinen, Finland.
J Dairy Sci. 2008 Mar;91(3):1189-97. doi: 10.3168/jds.2007-0510.
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.
在本研究中,使用多性状随机回归父系模型评估了两个临床乳腺炎(CM)性状(CM1,产犊前7天至产犊后30天;CM2,产犊后31天至300天)在泌乳期与测定日体细胞评分(SCS)和产奶量(MY)之间的遗传关联。分析的数据来自27557头头胎泌乳的芬兰艾尔夏奶牛。分别使用二阶和三阶勒让德多项式的随机回归来模拟测定日SCS和MY的每日遗传方差和永久环境方差,而CM仅拟合截距项。结果表明,CM与测定日性状之间的遗传相关性在泌乳期有所变化。泌乳期CM1和CM2与测定日SCS之间的遗传相关性分别从0.41到0.77以及从0.34到0.71不等。测定日MY与CM1和CM2的遗传相关性分别从0.13到0.51以及从0.49到0.66不等。CM1与SCS之间的相关性在泌乳早期最强,而CM2与SCS之间的相关性在泌乳后期最强。低于1的遗传相关性表明CM和SCS衡量的是乳腺炎性状的不同方面。泌乳早期的产奶量与CM1和CM2的相关性均比泌乳后期的产奶量更强。这表明,通过选择早期泌乳期增加的产奶量来选择更高的泌乳期MY,对乳腺炎遗传抗性的有害影响将比选择后期更高的产奶量更大。本研究中用于估计测定日和CM性状之间遗传关联的方法,可用于在多性状随机回归模型中结合来自不同数据结构性状的信息,如测定日SCS和CM性状,用于乳房健康的遗传评估。