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首页> 外文期刊>PLoS One >Multivariate analysis of body morphometric traits in conjunction with performance of reproduction and milk traits in crossbred progeny of Murrah × Jafarabadi buffalo ( Bubalus bubalis ) in North-Eastern Brazil
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Multivariate analysis of body morphometric traits in conjunction with performance of reproduction and milk traits in crossbred progeny of Murrah × Jafarabadi buffalo ( Bubalus bubalis ) in North-Eastern Brazil

机译:在巴西东部穆拉×Jafarabi Buffalo(Bubalus Bubalis)杂交后代繁殖和牛奶特征的繁殖和乳状性状性能的多变量分析

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We studied the relationship between body morphometric traits, and their underlying association with milk production (MP), lactation length (LL), first calving interval (FCI) and subsequent calving interval (CI) of crossbred progeny of Murrah × Jafarabadi buffalo aiming to assist in selection programs. We carried out principal component analysis (PCA) of the body morphometric traits, which include breast width (BW), thigh width (THW), hip width (HW), rump width (RW), rump length (RL), body depth (BD), body length (BL), height withers (HEW), rear height (RH), shoulder width (SW), thorax width (TW), loin width (LW), distance from the head to ischium (DHI), and thoracic perimeter (TP). We determined the association of morphometric traits with milk/reproduction traits using canonical correlation analysis (CCA). The analysis revealed that the first six PCA accounted for 82.14% of the total observed variation, and the traits THW, HW, TW, LW, RW, HEW, TP, RH, and BW, accounted for almost half (48.00%) of the total variance indicating a higher contribution in body structural conformation. The first canonical function was significant (p0.05), accounted for 72.46% of the total variance, and the canonical correlation was 0.56, indicating the dependence between both groups of traits. Higher canonical loadings were obtained for LL (0.49), FCI (0.46), BW (-0.71), BL (-0.56), DHI (-0.34), HEW, (-0.38) and TP (-0.50). These traits were most important for the derivation of canonical statistical variables, and presented a higher canonical correlations (r) between the dependent (LL/FCI) and independent (BW, BL, DHI, HEW and TP) groups. The results could suggest that the body morphometric traits THW, HW, TW, LW, RW, HEW, BD, TP, RH, and BW could play important role in body structural composition, indicating a suitable functional type, and aid designing of selection programs for buffalo breeding.
机译:我们研究了身体形态学性状与牛奶生产(MP),哺乳期(LL),第一次产犊间隔(FCI)和后续产犊间隔(CI)的关系,摩尔拉×JAFARABADI Buffalo旨在协助的牛奶生产在选择计划中。我们进行了身体形态学性状的主成分分析(PCA),包括乳房宽度(BW),大腿宽度(THW),臀部宽度(HW),臀部宽度(RW),臀长(RL),体深( BD),体长(BL),高度贴合(HEW),后高度(RH),肩宽(SW),胸部宽度(TW),腰部宽度(LW),距离头到甲状腺(DHI)的距离,和胸周周长(TP)。我们确定使用规范相关分析(CCA)与牛奶/再现性状的形态测量性状的关联。该分析显示,前六个PCA占了总观察到的变化的82.14%,而THW,HW,TW,LW,RW,HEW,TP,RH和BW,占近一半(48.00%)总方差表明身体结构构象的贡献更高。第一个规范功能很大(P <0.05),占总方差的72.46%,并且规范相关是0.56,表明两组特征之间的依赖。为L1(0.49),FCI(0.46),BW(-0.71),BL(-0.56),DHI(-0.34),HEW,(-0.38)和TP(-0.50)获得更高的规范载荷。这些特征对于规范统计变量的推导最重要,并且在依赖(LL / FCI)​​和独立(BW,BL,DHI,HEW和TP)组之间呈现更高的规范相关(R)。结果可能表明,身体形态学性状THW,HW,TW,LW,RW,HEW,BD,TP,RH和BW可以在身体结构组合物中发挥重要作用,表明合适的功能类型,以及选择方案的辅助设计对于水牛育种。

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