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Factor analysis for genetic evaluation of linear type traits in dual-purpose autochthonous breeds

机译:两用型自身加载品种线性型性状遗传评价因子分析

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Factor analysis was applied to individual type traits (TT) scored in primiparous cows belonging to two dual purpose Italian breeds, Rendena (REN; 20 individual type traits evaluated on 11 399 first parity cows), and Aosta Red Pied (ARP; 22 individual type traits evaluated on 36 168 primiparous cows). Six common latent factors (F1 to F6; eigenvalues >= 1) which explained 63% (REN) and 58% (ARP) of the total variance were obtained. F1 included TT mainly related to muscularity, and F2 to body size. The F3 and F4 accounted for udder size and conformation, respectively. F5 included rear legs and feet. Biological significance for F6 was not readily obtained. Moderate to low heritability were estimated through REML single-trait analysis from factor scores (from 0.22 to 0.52 in REN, and from 0.08 to 0.37 in ARP). The greatest heritability values were estimated for body size and muscularity (0.52 and 0.37 for body size; and 0.40 and 0.32 for muscularity in REN and ARP, respectively). As expected, rank correlations, obtained considering estimated breeding values derived from best linear unbiased prediction analysis on the individual TT and factor score, showed similar coefficients to those observed in the factor analysis following loading of TT within each latent factor. These results suggest the possibility to implement the factor analysis in the morphological evaluation, simplifying the information given by the type traits into new variables useful for the genetic improvement of dual purpose cattle.
机译:适用于属于两种双目的意大利品种的孕奶牛的个体类型的特征(TT),Rendena(ren; 20个单独类型特征在11399个第一奇偶母牛评估)和奥斯塔红色染色(ARP; 22个单独类型在36 168个初步奶牛中评估的特征)。六个常见的潜伏因子(F1至F6;特征值> = 1),其解释了总方差的63%(REN)和58%(ARP)。 F1包括主要与肌肉发射度相关,F2至体尺寸。 F3和F4分别占乳腺大小和构象。 F5包括后腿和脚。不容易获得F6的生物学意义。通过从因子分数(REN 0.22至0.52的0.22至0.52,在ARP中为0.08至0.37),估计中度至低遗传性。估计最大的可遗传性值对于体型和肌肉肌肉(0.52和0.37,体积为0.52和0.37;对于REN和ARP分别为0.40和0.32)。如预期的那样,考虑到各个TT和因子评分的最佳线性无偏见预测分析的估计育种值获得的等级相关性,显示出在每个潜在因子内加载TT的因子分析中观察到的那些类似的系数。这些结果表明,在形态学评估中实施因子分析的可能性,简化了类型特征给出的信息,以适用于双目的牛的遗传改进的新变量。

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