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Analysis of the causal structure of traits involved in sow lactation feed efficiency
BACKGROUND: Feed efficiency during lactation involves a set of phenotypic traits that form a complex system, with some traits exerting causal effects on the others. Information regarding such interrelationships can be used to predict the effect of external interventions on the system, and ultimately...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327305/ https://www.ncbi.nlm.nih.gov/pubmed/35883024 http://dx.doi.org/10.1186/s12711-022-00744-4 |
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author | Mora, Mónica David, Ingrid Gilbert, Hélène Rosa, Guilherme J. M. Sánchez, Juan Pablo Piles, Miriam |
author_facet | Mora, Mónica David, Ingrid Gilbert, Hélène Rosa, Guilherme J. M. Sánchez, Juan Pablo Piles, Miriam |
author_sort | Mora, Mónica |
collection | PubMed |
description | BACKGROUND: Feed efficiency during lactation involves a set of phenotypic traits that form a complex system, with some traits exerting causal effects on the others. Information regarding such interrelationships can be used to predict the effect of external interventions on the system, and ultimately to optimize management practices and multi-trait selection strategies. Structural equation models can be used to infer the magnitude of the different causes of such interrelationships. The causal network necessary to fit structural equation models can be inferred using the inductive causation (IC) algorithm. By implementing these statistical tools, we inferred the causal association between the main energy sources and sinks involved in sow lactation feed efficiency for the first time, i.e., daily lactation feed intake (dLFI) in kg/day, daily sow weight balance (dSWB) in kg/day, daily litter weight gain (dLWG) in kg/day, daily back fat thickness balance (dBFTB) in mm/day, and sow metabolic body weight (SMBW) in kg(0.75). Then, we tested several selection strategies based on selection indices, with or without dLFI records, to improve sow efficiency during lactation. RESULTS: The IC algorithm using 95% highest posterior density (HPD(95%)) intervals resulted in a fully directed acyclic graph, in which dLFI and dLWG affected dSWB, the posterior mean of the corresponding structural coefficients (PM(λ)) being 0.12 and − 0.03, respectively. In turn, dSWB influenced dBFTB and SMBW, with PM(λ) equal to 0.70 and − 1.22, respectively. Multiple indirect effects contributed to the variances and covariances among the analyzed traits, with the most relevant indirect effects being those involved in the association between dSWB and dBFTB and between dSWB and SMBW. Selection strategies with or without phenotypic information on dLFI, or that hold this trait constant, led to the same pattern and similar responses in dLFI, dSWB, and dLWG. CONCLUSIONS: Selection based on an index including only dBFTB and dLWG records can reduce dLFI, keep dSWB constant or increase it, and increase dLWG. However, a favorable response for all three traits is probably not achievable. Holding the amount of feed provided to the sows constant did not offer an advantage in terms of response over the other strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12711-022-00744-4. |
format | Online Article Text |
id | pubmed-9327305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93273052022-07-28 Analysis of the causal structure of traits involved in sow lactation feed efficiency Mora, Mónica David, Ingrid Gilbert, Hélène Rosa, Guilherme J. M. Sánchez, Juan Pablo Piles, Miriam Genet Sel Evol Research Article BACKGROUND: Feed efficiency during lactation involves a set of phenotypic traits that form a complex system, with some traits exerting causal effects on the others. Information regarding such interrelationships can be used to predict the effect of external interventions on the system, and ultimately to optimize management practices and multi-trait selection strategies. Structural equation models can be used to infer the magnitude of the different causes of such interrelationships. The causal network necessary to fit structural equation models can be inferred using the inductive causation (IC) algorithm. By implementing these statistical tools, we inferred the causal association between the main energy sources and sinks involved in sow lactation feed efficiency for the first time, i.e., daily lactation feed intake (dLFI) in kg/day, daily sow weight balance (dSWB) in kg/day, daily litter weight gain (dLWG) in kg/day, daily back fat thickness balance (dBFTB) in mm/day, and sow metabolic body weight (SMBW) in kg(0.75). Then, we tested several selection strategies based on selection indices, with or without dLFI records, to improve sow efficiency during lactation. RESULTS: The IC algorithm using 95% highest posterior density (HPD(95%)) intervals resulted in a fully directed acyclic graph, in which dLFI and dLWG affected dSWB, the posterior mean of the corresponding structural coefficients (PM(λ)) being 0.12 and − 0.03, respectively. In turn, dSWB influenced dBFTB and SMBW, with PM(λ) equal to 0.70 and − 1.22, respectively. Multiple indirect effects contributed to the variances and covariances among the analyzed traits, with the most relevant indirect effects being those involved in the association between dSWB and dBFTB and between dSWB and SMBW. Selection strategies with or without phenotypic information on dLFI, or that hold this trait constant, led to the same pattern and similar responses in dLFI, dSWB, and dLWG. CONCLUSIONS: Selection based on an index including only dBFTB and dLWG records can reduce dLFI, keep dSWB constant or increase it, and increase dLWG. However, a favorable response for all three traits is probably not achievable. Holding the amount of feed provided to the sows constant did not offer an advantage in terms of response over the other strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12711-022-00744-4. BioMed Central 2022-07-26 /pmc/articles/PMC9327305/ /pubmed/35883024 http://dx.doi.org/10.1186/s12711-022-00744-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Mora, Mónica David, Ingrid Gilbert, Hélène Rosa, Guilherme J. M. Sánchez, Juan Pablo Piles, Miriam Analysis of the causal structure of traits involved in sow lactation feed efficiency |
title | Analysis of the causal structure of traits involved in sow lactation feed efficiency |
title_full | Analysis of the causal structure of traits involved in sow lactation feed efficiency |
title_fullStr | Analysis of the causal structure of traits involved in sow lactation feed efficiency |
title_full_unstemmed | Analysis of the causal structure of traits involved in sow lactation feed efficiency |
title_short | Analysis of the causal structure of traits involved in sow lactation feed efficiency |
title_sort | analysis of the causal structure of traits involved in sow lactation feed efficiency |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327305/ https://www.ncbi.nlm.nih.gov/pubmed/35883024 http://dx.doi.org/10.1186/s12711-022-00744-4 |
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