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Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets

SIMPLE SUMMARY: Breeders use breeding goals to guide genetic gain in a population in a desired direction. Breeding goals consist of economically interesting traits, in which each trait receives an economic value. For example, to increase the size of a piglet litter, breeders use a breeding goal that...

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Autores principales: Zaalberg, Roos M., Villumsen, Trine M., Jensen, Just, Chu, Thinh T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311777/
https://www.ncbi.nlm.nih.gov/pubmed/35883342
http://dx.doi.org/10.3390/ani12141796
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author Zaalberg, Roos M.
Villumsen, Trine M.
Jensen, Just
Chu, Thinh T.
author_facet Zaalberg, Roos M.
Villumsen, Trine M.
Jensen, Just
Chu, Thinh T.
author_sort Zaalberg, Roos M.
collection PubMed
description SIMPLE SUMMARY: Breeders use breeding goals to guide genetic gain in a population in a desired direction. Breeding goals consist of economically interesting traits, in which each trait receives an economic value. For example, to increase the size of a piglet litter, breeders use a breeding goal that includes the trait “number of live piglets in a litter” for a specific day after birth. While the litter size is selected using the trait “number of live piglets,” it is composed of two traits: “total number born” and “number of dead piglets.” The current study used simulations to illustrate that selection for litter size could be improved by selecting for the latter two traits rather than the former. This approach corrects for the fact that these two traits are genetically related to each other, but they also have genetic differences. Further, splitting one trait into two traits allows breeders to focus on the specific elements of a trait. For example, organic pig breeders could select for better piglet welfare by splitting “number of live piglets” into two traits, giving a negative economic value to the number of dead piglets. ABSTRACT: Selection for the number of living pigs on day 11 (L11) aims to reduce piglet mortality and increase litter size simultaneously. This approach could be sub-optimal, especially for organic pig breeding. This study evaluated the effect of selecting for a trait by separating it into two traits. Genetic parameters for L11, the total number born (TNB), and the number of dead piglets at day 11 (D11) were estimated using data obtained from an organic pig population in Denmark. Based on these estimates, two alternative breeding schemes were simulated. Specifically, selection was made using: (1) a breeding goal with L11 only versus (2) a breeding goal with TNB and D11. Different weightings for TNB and D11 were tested. The simulations showed that selection using the first breeding scheme (L11) produced lower annual genetic gain (0.201) compared to the second (TNB and D11; 0.207). A sensitivity analysis showed that the second scheme performed better because it exploited differences in heritability, and accounted for genetic correlations between the two traits. When the second breeding scheme placed more emphasis on D11, D11 declined, whereas genetic gain for L11 remained high (0.190). In conclusion, selection for L11 could be optimized by separating it into two correlated traits with different heritability, reducing piglet mortality and enhancing L11.
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spelling pubmed-93117772022-07-26 Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets Zaalberg, Roos M. Villumsen, Trine M. Jensen, Just Chu, Thinh T. Animals (Basel) Article SIMPLE SUMMARY: Breeders use breeding goals to guide genetic gain in a population in a desired direction. Breeding goals consist of economically interesting traits, in which each trait receives an economic value. For example, to increase the size of a piglet litter, breeders use a breeding goal that includes the trait “number of live piglets in a litter” for a specific day after birth. While the litter size is selected using the trait “number of live piglets,” it is composed of two traits: “total number born” and “number of dead piglets.” The current study used simulations to illustrate that selection for litter size could be improved by selecting for the latter two traits rather than the former. This approach corrects for the fact that these two traits are genetically related to each other, but they also have genetic differences. Further, splitting one trait into two traits allows breeders to focus on the specific elements of a trait. For example, organic pig breeders could select for better piglet welfare by splitting “number of live piglets” into two traits, giving a negative economic value to the number of dead piglets. ABSTRACT: Selection for the number of living pigs on day 11 (L11) aims to reduce piglet mortality and increase litter size simultaneously. This approach could be sub-optimal, especially for organic pig breeding. This study evaluated the effect of selecting for a trait by separating it into two traits. Genetic parameters for L11, the total number born (TNB), and the number of dead piglets at day 11 (D11) were estimated using data obtained from an organic pig population in Denmark. Based on these estimates, two alternative breeding schemes were simulated. Specifically, selection was made using: (1) a breeding goal with L11 only versus (2) a breeding goal with TNB and D11. Different weightings for TNB and D11 were tested. The simulations showed that selection using the first breeding scheme (L11) produced lower annual genetic gain (0.201) compared to the second (TNB and D11; 0.207). A sensitivity analysis showed that the second scheme performed better because it exploited differences in heritability, and accounted for genetic correlations between the two traits. When the second breeding scheme placed more emphasis on D11, D11 declined, whereas genetic gain for L11 remained high (0.190). In conclusion, selection for L11 could be optimized by separating it into two correlated traits with different heritability, reducing piglet mortality and enhancing L11. MDPI 2022-07-13 /pmc/articles/PMC9311777/ /pubmed/35883342 http://dx.doi.org/10.3390/ani12141796 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zaalberg, Roos M.
Villumsen, Trine M.
Jensen, Just
Chu, Thinh T.
Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets
title Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets
title_full Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets
title_fullStr Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets
title_full_unstemmed Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets
title_short Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets
title_sort effective selection for lower mortality in organic pigs through selection for total number born and number of dead piglets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311777/
https://www.ncbi.nlm.nih.gov/pubmed/35883342
http://dx.doi.org/10.3390/ani12141796
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