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Use of an aridity index to classify season with an application in genetic evaluation of Braunvieh cattle

Published online by Cambridge University Press:  08 August 2022

J. B. Herrera-Ojeda Open the ORCID record for J. B. Herrera-Ojeda [Opens in a new window] ,
R. Ramírez-Valverde Open the ORCID record for R. Ramírez-Valverde [Opens in a new window] ,
R. Núñez-Domínguez Open the ORCID record for R. Núñez-Domínguez [Opens in a new window] ,
N. Lopez-Villalobos Open the ORCID record for N. Lopez-Villalobos [Opens in a new window] ,
J. F. Vázquez-Armijo Open the ORCID record for J. F. Vázquez-Armijo [Opens in a new window] ,
K. E. Orozco-Durán Open the ORCID record for K. E. Orozco-Durán [Opens in a new window]  and
G. M. Parra-Bracamonte Open the ORCID record for G. M. Parra-Bracamonte [Opens in a new window]
J. B. Herrera-Ojeda
Affiliation:
Departamento de Ciencias Básicas, Instituto Tecnológico del Valle de Morelia, Instituto Tecnológico Nacional, Morelia, Michoacán, México
R. Ramírez-Valverde
Affiliation:
Departamento de Zootecnia, Universidad Autónoma Chapingo, Texcoco, México
R. Núñez-Domínguez
Affiliation:
Departamento de Zootecnia, Universidad Autónoma Chapingo, Texcoco, México
N. Lopez-Villalobos
Affiliation:
Centro Universitario Temascaltepec, Universidad Autónoma del Estado de México, Temascaltepec, México School of Agriculture and Environment, Massey University, Palmerston North, New Zealand
J. F. Vázquez-Armijo
Affiliation:
Centro Universitario Temascaltepec, Universidad Autónoma del Estado de México, Temascaltepec, México
K. E. Orozco-Durán
Affiliation:
Facultad de Agrobiología, Universidad Michoacana de San Nicolás de Hidalgo, Uruapan, Michoacán, México
G. M. Parra-Bracamonte*
Affiliation:
Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Reynosa, Tamaulipas, México
*
Author for correspondence: G. M. Parra-Bracamonte, E-mail: gparra@ipn.mx
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Abstract

One of the most important aspects of genetic evaluation (GE) is the definition of contemporary groups (CG), commonly defined as animals of the same sex born in the same herd, year and season. The objective of this study was to use an aridity index (AI) to classify season and evaluate the implications on the GE of Braunvieh cattle. A data set with 32 777 and 22 448 birth weight (BW) and weaning weight adjusted to 240 days (WW) records, respectively, was used to compare two methods of classification of climatic seasons to be used in the definition of CG for GE models. The first method considered rain season criterion (RC), and the second method is a proposed classification using an AI. Both methods were compared using two approaches. The first approach examined differences in mixed models using the RC and AI season to select the best model for BW and WW, evaluated by different goodness of fit measures. The second approach considered fitting a GE model including the season classifications into the CG structure. Lower probability values for season effect and better goodness of fit measures were obtained when the season was classified according to the AI. Results showed that although differences are small, the AI allows a better model fitting for live-weight traits than RC and revealed a re-ranking effect on expected progeny differences data. Further analysis with other traits would demonstrate the extended utility of AI indicators to be considered for fitting models under a climatic change environment.

Keywords

Climatic seasoncontemporary groupinggenetic modelslive weight traits
Type
Animal Research Paper
Information
The Journal of Agricultural Science , Volume 160 , Issue 5 , October 2022 , pp. 397 - 403
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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