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Genetic Evaluations of Stillbirth for Five United States Dairy Breeds: A Data-Resource Feasibility Study

Genetic selection has been an effective strategy to improve calving traits including stillbirth in dairy cattle. The primary objectives of the present study were to characterize stillbirth data and determine the feasibility of implementing routine genetic evaluations of stillbirth in five non-Holste...

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Autores principales: Sigdel, Anil, Wu, Xiao-Lin, Parker Gaddis, Kristen L., Norman, H. Duane, Carrillo, José A., Burchard, Javier, Peñagaricano, Francisco, Dürr, João
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035607/
https://www.ncbi.nlm.nih.gov/pubmed/35480321
http://dx.doi.org/10.3389/fgene.2022.819678
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author Sigdel, Anil
Wu, Xiao-Lin
Parker Gaddis, Kristen L.
Norman, H. Duane
Carrillo, José A.
Burchard, Javier
Peñagaricano, Francisco
Dürr, João
author_facet Sigdel, Anil
Wu, Xiao-Lin
Parker Gaddis, Kristen L.
Norman, H. Duane
Carrillo, José A.
Burchard, Javier
Peñagaricano, Francisco
Dürr, João
author_sort Sigdel, Anil
collection PubMed
description Genetic selection has been an effective strategy to improve calving traits including stillbirth in dairy cattle. The primary objectives of the present study were to characterize stillbirth data and determine the feasibility of implementing routine genetic evaluations of stillbirth in five non-Holstein dairy breeds, namely Ayrshire, Guernsey, Milking Shorthorn, Brown Swiss, and Jersey. An updated sire-maternal grandsire threshold model was used to estimate genetic parameters and genetic values for stillbirth. Stillbirth data with the birth years of dams from 1995 to 2018 were extracted from the United States national calving ease database maintained by the Council on Dairy Cattle Breeding. The extracted stillbirth records varied drastically among the five dairy breeds. There were approximately 486K stillbirth records for Jersey and more than 80K stillbirth records for Brown Swiss. The direct and maternal heritability estimates of stillbirth were 6.0% (4.5–7.6%) and 4.7% (3.3–6.1%) in Jersey and 6.8% (3.2–10.5%) and 1.1% (0.6–2.9%) in Brown Swiss. The estimated genetic correlations between direct and maternal genetic effects for stillbirth were −0.15 (−0.38 to −0.08) in Jersey and −0.35 (−0.47 to −0.12) in Brown Swiss. The estimated genetic parameters for stillbirth in these two breeds were within close ranges of previous studies. The reliabilities of predicted transmitting abilities in Jersey and Brown Swiss increased substantially, thanks to the substantial increase in available stillbirth data in the past 10 years. The stillbirth records for Ayrshire, Guernsey, and Milking Shorthorn, which ranged approximately between 3K and 12K, are insufficient to implement reliable routine genetic evaluations of stillbirth in these three dairy breeds. Estimated genetic (co)variances and genetic values deviated considerably from the reported ranges of previous studies, and the reliabilities of predicted transmitting abilities were low in these three breeds. In conclusion, routine genetic evaluations of stillbirth are feasible in Brown Swiss and Jersey. However, reliable genetic evaluations of stillbirth in Ayrshire, Guernsey, and Milking Shorthorn require further data collection on stillbirth.
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spelling pubmed-90356072022-04-26 Genetic Evaluations of Stillbirth for Five United States Dairy Breeds: A Data-Resource Feasibility Study Sigdel, Anil Wu, Xiao-Lin Parker Gaddis, Kristen L. Norman, H. Duane Carrillo, José A. Burchard, Javier Peñagaricano, Francisco Dürr, João Front Genet Genetics Genetic selection has been an effective strategy to improve calving traits including stillbirth in dairy cattle. The primary objectives of the present study were to characterize stillbirth data and determine the feasibility of implementing routine genetic evaluations of stillbirth in five non-Holstein dairy breeds, namely Ayrshire, Guernsey, Milking Shorthorn, Brown Swiss, and Jersey. An updated sire-maternal grandsire threshold model was used to estimate genetic parameters and genetic values for stillbirth. Stillbirth data with the birth years of dams from 1995 to 2018 were extracted from the United States national calving ease database maintained by the Council on Dairy Cattle Breeding. The extracted stillbirth records varied drastically among the five dairy breeds. There were approximately 486K stillbirth records for Jersey and more than 80K stillbirth records for Brown Swiss. The direct and maternal heritability estimates of stillbirth were 6.0% (4.5–7.6%) and 4.7% (3.3–6.1%) in Jersey and 6.8% (3.2–10.5%) and 1.1% (0.6–2.9%) in Brown Swiss. The estimated genetic correlations between direct and maternal genetic effects for stillbirth were −0.15 (−0.38 to −0.08) in Jersey and −0.35 (−0.47 to −0.12) in Brown Swiss. The estimated genetic parameters for stillbirth in these two breeds were within close ranges of previous studies. The reliabilities of predicted transmitting abilities in Jersey and Brown Swiss increased substantially, thanks to the substantial increase in available stillbirth data in the past 10 years. The stillbirth records for Ayrshire, Guernsey, and Milking Shorthorn, which ranged approximately between 3K and 12K, are insufficient to implement reliable routine genetic evaluations of stillbirth in these three dairy breeds. Estimated genetic (co)variances and genetic values deviated considerably from the reported ranges of previous studies, and the reliabilities of predicted transmitting abilities were low in these three breeds. In conclusion, routine genetic evaluations of stillbirth are feasible in Brown Swiss and Jersey. However, reliable genetic evaluations of stillbirth in Ayrshire, Guernsey, and Milking Shorthorn require further data collection on stillbirth. Frontiers Media S.A. 2022-04-11 /pmc/articles/PMC9035607/ /pubmed/35480321 http://dx.doi.org/10.3389/fgene.2022.819678 Text en Copyright © 2022 Sigdel, Wu, Parker Gaddis, Norman, Carrillo, Burchard, Peñagaricano and Dürr. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Sigdel, Anil
Wu, Xiao-Lin
Parker Gaddis, Kristen L.
Norman, H. Duane
Carrillo, José A.
Burchard, Javier
Peñagaricano, Francisco
Dürr, João
Genetic Evaluations of Stillbirth for Five United States Dairy Breeds: A Data-Resource Feasibility Study
title Genetic Evaluations of Stillbirth for Five United States Dairy Breeds: A Data-Resource Feasibility Study
title_full Genetic Evaluations of Stillbirth for Five United States Dairy Breeds: A Data-Resource Feasibility Study
title_fullStr Genetic Evaluations of Stillbirth for Five United States Dairy Breeds: A Data-Resource Feasibility Study
title_full_unstemmed Genetic Evaluations of Stillbirth for Five United States Dairy Breeds: A Data-Resource Feasibility Study
title_short Genetic Evaluations of Stillbirth for Five United States Dairy Breeds: A Data-Resource Feasibility Study
title_sort genetic evaluations of stillbirth for five united states dairy breeds: a data-resource feasibility study
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035607/
https://www.ncbi.nlm.nih.gov/pubmed/35480321
http://dx.doi.org/10.3389/fgene.2022.819678
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