Genotype × region and genotype × production level interactions in Holstein cows
The identification of the presence of genotype by environment interaction effects on important traits in Holstein cattle allows for the use of international genetic evaluations and a more efficient design of regional genetic evaluation programmes. The aim of this study was to determine the genotype ...
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doaj-b0fecf7a21394cb18a04bcdd6467e0492021-08-20T04:33:47ZengElsevierAnimal1751-73112021-09-01159100320Genotype × region and genotype × production level interactions in Holstein cowsJ.L. Chuma-Alvarez0H.H. Montaldo1C. Lizana2M.E. Olivares3F.J. Ruiz-López4Departamento de Genética y Bioestadística, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad Universitaria, 04510 Mexico City, MexicoDepartamento de Genética y Bioestadística, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad Universitaria, 04510 Mexico City, Mexico; Corresponding author.Cooperativa Agrícola y de Servicios COOPRINSEM, Manuel Rodríguez 1040, 5290000 Osorno, Los Lagos, ChileCooperativa Agrícola y de Servicios COOPRINSEM, Manuel Rodríguez 1040, 5290000 Osorno, Los Lagos, ChileCentro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Secretaría de Agricultura y Desarrollo Rural, Ajuchitlan Colon, 76280 Querétaro, MexicoThe identification of the presence of genotype by environment interaction effects on important traits in Holstein cattle allows for the use of international genetic evaluations and a more efficient design of regional genetic evaluation programmes. The aim of this study was to determine the genotype × environment interaction effects in Chilean Holstein dairy cattle through the analysis of records corresponding to calvings between 1998 and 2015. Herds were classified in the central and southern regions of Chile based on herd location as well as by high and low levels of production environments based on the fat plus protein yield averages per herd within each region. The central region has a Mediterranean climate and a confined production system while the southern region has a humid temperate climate and a production system based on grazing with supplementation. Traits studied were milk yield (MY), fat yield (FY), protein yield (PY), fat content (FC) and protein content (PC) by lactation, age at first calving (AFC) and calving interval (CI). Several four-trait mixed animal models were applied to environmental category data as different traits, which included herd-year-calving season (herd-year-birth season for AFC) and lactation number as fixed effects, and animal additive genetic, sire-herd, permanent environment and residual effects as random effects. Genetic correlations (rg) for MY, FY, FC, PC and CI were found to decrease as differences between environmental categories increased. The rg between the most extreme environmental categories considered in this study for AFC (0.26) was the only one found statistically lower than 0.60. Genetic correlation values statistically lower than 0.80 (P < 0.05) were observed for AFC, CI, MY, FY and PY between some environmental categories. If separate genetic evaluations are adopted as practical criteria when the value of rg is lower than 0.60, the consequence of improving a multi-trait economic breeding objective in this population is likely to be small unless extreme environmental categories are considered. However, a moderate decrease in selection response and re-ranking of selection candidates is expected for AFC, CI and yield traits when selection is performed in different environmental conditions. Genotype × environment interaction effects involving production systems in a Mediterranean climate and confinement vs. Temperate Oceanic climate and grazing with supplementation, and between two fat plus protein yield level categories within each environment, were at most moderate for the studied traits.http://www.sciencedirect.com/science/article/pii/S1751731121001634Genetic correlationGenotype × environment interactionGrazingMilk yieldReproductive traits |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J.L. Chuma-Alvarez H.H. Montaldo C. Lizana M.E. Olivares F.J. Ruiz-López |
spellingShingle |
J.L. Chuma-Alvarez H.H. Montaldo C. Lizana M.E. Olivares F.J. Ruiz-López Genotype × region and genotype × production level interactions in Holstein cows Animal Genetic correlation Genotype × environment interaction Grazing Milk yield Reproductive traits |
author_facet |
J.L. Chuma-Alvarez H.H. Montaldo C. Lizana M.E. Olivares F.J. Ruiz-López |
author_sort |
J.L. Chuma-Alvarez |
title |
Genotype × region and genotype × production level interactions in Holstein cows |
title_short |
Genotype × region and genotype × production level interactions in Holstein cows |
title_full |
Genotype × region and genotype × production level interactions in Holstein cows |
title_fullStr |
Genotype × region and genotype × production level interactions in Holstein cows |
title_full_unstemmed |
Genotype × region and genotype × production level interactions in Holstein cows |
title_sort |
genotype × region and genotype × production level interactions in holstein cows |
publisher |
Elsevier |
series |
Animal |
issn |
1751-7311 |
publishDate |
2021-09-01 |
description |
The identification of the presence of genotype by environment interaction effects on important traits in Holstein cattle allows for the use of international genetic evaluations and a more efficient design of regional genetic evaluation programmes. The aim of this study was to determine the genotype × environment interaction effects in Chilean Holstein dairy cattle through the analysis of records corresponding to calvings between 1998 and 2015. Herds were classified in the central and southern regions of Chile based on herd location as well as by high and low levels of production environments based on the fat plus protein yield averages per herd within each region. The central region has a Mediterranean climate and a confined production system while the southern region has a humid temperate climate and a production system based on grazing with supplementation. Traits studied were milk yield (MY), fat yield (FY), protein yield (PY), fat content (FC) and protein content (PC) by lactation, age at first calving (AFC) and calving interval (CI). Several four-trait mixed animal models were applied to environmental category data as different traits, which included herd-year-calving season (herd-year-birth season for AFC) and lactation number as fixed effects, and animal additive genetic, sire-herd, permanent environment and residual effects as random effects. Genetic correlations (rg) for MY, FY, FC, PC and CI were found to decrease as differences between environmental categories increased. The rg between the most extreme environmental categories considered in this study for AFC (0.26) was the only one found statistically lower than 0.60. Genetic correlation values statistically lower than 0.80 (P < 0.05) were observed for AFC, CI, MY, FY and PY between some environmental categories. If separate genetic evaluations are adopted as practical criteria when the value of rg is lower than 0.60, the consequence of improving a multi-trait economic breeding objective in this population is likely to be small unless extreme environmental categories are considered. However, a moderate decrease in selection response and re-ranking of selection candidates is expected for AFC, CI and yield traits when selection is performed in different environmental conditions. Genotype × environment interaction effects involving production systems in a Mediterranean climate and confinement vs. Temperate Oceanic climate and grazing with supplementation, and between two fat plus protein yield level categories within each environment, were at most moderate for the studied traits. |
topic |
Genetic correlation Genotype × environment interaction Grazing Milk yield Reproductive traits |
url |
http://www.sciencedirect.com/science/article/pii/S1751731121001634 |
work_keys_str_mv |
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