Multi-trait selection in Holstein cows
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Abstract
(BVDL), age at first parturition (BVAP1), gestation parturition interval (BVGPI), accumulated milk per life (BVTML) and productive life (BVPL) by means of a multi-trait animal model. The SPSS statistical package was used to perform the MC analysis, for which the BV were standardized, and the Kaiser criterion was used to select the MC that explains the greatest genetic variation. The genetic correlations between L305, TML and DL showed mean values (0.55, 0.47 and 0.27), and between GPI and PL of 0.29. The first two main components (MC1, MC2) were those that obtained the Kaiser criterion and explained 53.7 % of the total variance of the BV. Linear correlations between BVs with each main component showed that
L305, DL and TML were related with the MC1, and GPI and PL to MC2. It is concluded that in Holstein cows it is possible to perform multi-trait selection by constructing selection indexes based on the first two MCs, since they showed considerable genetic variation.
Key words: main component analysis, dairy cattle, selection indexes
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