Back to Search Start Over

Genetic parameters for reproductive traits in the Italian Mediterranean buffalo using milk yield as a correlated trait.

Authors :
Gómez-Carpio M
Cesarani A
Zullo G
Cimmino R
Neglia G
Campanile G
Biffani S
Source :
Journal of dairy science [J Dairy Sci] 2023 Dec; Vol. 106 (12), pp. 9016-9025. Date of Electronic Publication: 2023 Aug 23.
Publication Year :
2023

Abstract

Until now, the genetic evaluation of the Italian Mediterranean Buffalo has been mainly focused on production traits. However, female fertility affects the efficiency of the dairy industry as it is essential to maintain the profitability of dairy farms. Indeed, the estimation of its genetic component is crucial for its improvement. In this study, 3 measures of buffalo's fertility were analyzed: the age at first calving (AFC), the interval between first and second calving (CIV1), and the interval between second and successive calvings (CIV2_12). Milk yield at 270 d (MY270) was used as a correlated trait. First, genetic parameters were estimated using 7,915 buffalo cows with first calving from 1991 to 2018, then breeding values were calculated from 236,087 buffalo cows. Genetic parameters were estimated by Bayesian inference fitting a multiple-trait animal model using the GIBBS1F90 program, and BLUPF90 was used for estimation of breeding value. The heritability and repeatability estimates of fertility traits were low. The genetic correlations among fertility traits ranged from 0.10 (AFC-CIV1) to 0.92 (CIV1-CIV2_12). Genetic correlation between MY270 and fertility traits was unfavorable, ranging from 0.23 to 0.48. The results from this study can be used as a basis for the future genetic improvement of fertility traits in the Italian Mediterranean Buffaloes.<br /> (© 2023, The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).)

Details

Language :
English
ISSN :
1525-3198
Volume :
106
Issue :
12
Database :
MEDLINE
Journal :
Journal of dairy science
Publication Type :
Academic Journal
Accession number :
37641333
Full Text :
https://doi.org/10.3168/jds.2023-23257