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Cuban Journal of Agricultural Science

Print version ISSN 0864-0408On-line version ISSN 2079-3480


HERNANDEZ, A.  and  PONCE DE LEON, Raquel Elena. Multi-trait selection in Holstein cows. Cuban J. Agric. Sci. [online]. 2020, vol.54, n.4, pp.471-479.  Epub Dec 01, 2020. ISSN 0864-0408.

The phenotypic and genealogical data of 1 571 Holstein cows located in three livestock enterprises during the years 1984 to 2016 were used. The purpose of this study was to carry out the multi-trait selection of dairy production, reproduction and longevity traits by means of the preparation of selection indexes (SI) through the analysis of main components (MC). Correlations and breeding values (BV) were estimated for the traits: cumulative milk production up to 305 days (BVL305), duration of lactation (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.

Keywords : main component analysis; dairy cattle; selection indexes.

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