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Selection indexes using principal component analysis for reproductive, beef and milk traits in Simmental cattle

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Abstract

Selection indexes in dual-purpose cattle should include beef, milk and reproductive traits. The principal component analysis is a multivariate technique that allows researchers to explore relationships between explanatory variables and traits of interest. The objective of this study was to construct selection indexes for tropical dual-purpose Simmental cattle based on principal components. The evaluated traits were weight at 8 months of age; age at first calving; cumulative first-lactation milk yield at 60, 150, 210 and 305 days; and first calving interval. The selection indexes were estimated as the sum of the products of the estimated breeding values for the seven traits times their respective eigenvectors for the first three principal components. The three selection indexes from principal components analysis generated favourable expected genetic progress for all the traits. However, a selection index with a high expected genetic progress for all traits could not be obtained. The principal component analysis allows breeders to have a selection index that simultaneously improves milk, beef and reproductive traits in dual-purpose Simmental cattle. Because a selection index yielding high expected genetic progress for all traits could not be achieved, the decision to use a specific selection index will depend on the specific conditions of the market, the local needs and the farmer preference.

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Acknowledgements

The authors thank ASOSIMMENTAL, AGROSAVIA, Universidad de Antioquia and GAMMA research group. Additionally, the first author thanks Universidad de Ciencias Aplicadas y Ambientales U.D.C.A and Colciencias (Scholarship No 727 of 2015) for financing his studies in the doctoral program in Animal Science of Universidad de Antioquia.

Funding

This research was supported by the Universidad de Antioquia, GAMMA research group, Universidad de Ciencias Aplicadas y Ambientales U.D.C.A, ASOSIMMENTAL, AGROSAVIA and Colciencias (Scholarship No 727 de 2015).

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Authors and Affiliations

  1. Grupo de Investigación Ciencia Animal, Facultad de Ciencias Agropecuarias, Universidad de Ciencias Aplicadas y Ambientales U.D.C.A., Bogotá, Colombia

    Alejandro Amaya

  2. Grupo de Investigación GAMMA, Facultad de Ciencias Agrarias, Universidad de Antioquia, Medellín, Colombia

    Alejandro Amaya & Mario Cerón-Muñoz

  3. Grupo de Investigación en Recursos Genéticos y Biotecnología Animal, Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), Centro de Investigación Tibaitatá, km 11 vía Mosquera, Bogotá, Cundinamarca, Colombia

    Rodrigo Martínez

Authors
  1. Alejandro Amaya
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  2. Rodrigo Martínez
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  3. Mario Cerón-Muñoz
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Contributions

The work was designed by AA, RM and MCM. The statistical analyses involved AA, RM and MCM. The manuscript was written by AA and proofread by RM and MCM. All the authors read and approved the final version.

Corresponding author

Correspondence to Alejandro Amaya.

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Approval by an ethics committee was not necessary in this study as all the records used in the analyses came from an existing database and did not involve experiments or procedures with animals.

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The authors declare no competing interests.

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Amaya, A., Martínez, R. & Cerón-Muñoz, M. Selection indexes using principal component analysis for reproductive, beef and milk traits in Simmental cattle. Trop Anim Health Prod 53, 378 (2021). https://doi.org/10.1007/s11250-021-02815-y

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