Disentangling the dynamics of energy allocation to provide a proxy of robustness in fattening pigs Article Swipe
Guillaume Lenoir
,
Loïc Flatres-Grall
,
Rafael Muñoz‐Tamayo
,
Ingrid David
,
N.C. Friggens
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.10.19.512827
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.10.19.512827
Background There is a growing need to improve robustness characteristics in fattening pigs, but this trait is difficult to phenotype. Our first objective was to develop a robustness proxy on the basis of modelling of longitudinal energetic allocation coefficient to growth for fattening pigs. Consequently, the environmental variance of this allocation coefficient was considered as a proxy of robustness. The second objective was to estimate its genetic parameters and correlation with traits under selection as well with phenotypes routinely collected on farms. A total of 5848 pigs, from Piétrain NN paternal line, were tested at the AXIOM boar testing station (Azay-sur-Indre, France) from 2015 to 2022. This farm was equipped with automatic feeding system, recording individual weight and feed intake at each visit. We used a dynamic linear regression model to characterize the evolution of the allocation coefficient between cumulative net energy available, estimated from feed intake, and cumulative weight gain during fattening period. Longitudinal energetic allocation coefficients were analysed using a two-step approach, to estimate both its genetic variance and the genetic variance in the residual variance, trait LSR. Results The LSR trait, that could be interpreted as an indicator of the response of the animal to perturbations/stress, showed low heritability (0.05±0.01). The trait LSR had high favourable genetic correlations with average daily growth (−0.71±0.06) and unfavourable with feed conversion ratio (−0.76±0.06) and residual feed intake (−0.83±0.06). The analysis of the relationship between estimated breeding values (EBV) LSR quartiles and phenotypes routinely collected on farms shows the most favourable situation for animals from quartile with the weakest EBV LSR, i.e ., the most robust. Conclusions These results show that selection for robustness based on deviation from energetic allocation coefficient to growth can be considered in breeding programs for fattening pigs.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.10.19.512827
- https://www.biorxiv.org/content/biorxiv/early/2022/10/22/2022.10.19.512827.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4306986159
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4306986159Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2022.10.19.512827Digital Object Identifier
- Title
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Disentangling the dynamics of energy allocation to provide a proxy of robustness in fattening pigsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-10-21Full publication date if available
- Authors
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Guillaume Lenoir, Loïc Flatres-Grall, Rafael Muñoz‐Tamayo, Ingrid David, N.C. FriggensList of authors in order
- Landing page
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https://doi.org/10.1101/2022.10.19.512827Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2022/10/22/2022.10.19.512827.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2022/10/22/2022.10.19.512827.full.pdfDirect OA link when available
- Concepts
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Heritability, Trait, Statistics, Robustness (evolution), Residual, Animal science, Biology, Genetic correlation, Econometrics, Mathematics, Genetic variation, Computer science, Genetics, Programming language, Algorithm, GeneTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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