Výsledky vyhledávání - "Tusell, Llibertat"

Genic and non-genic SNP contributions to additive and dominance genetic effects in purebred and crossbred pig traits

Autor: Mohammadpanah, Mahshid, Ayatollahi Mehrgardi, Ahmad, Gilbert, Hélène, Larzul, Catherine, Mercat, Marie-José, Esmailizadeh, Ali, Momen, Mehdi, Tusell, Llibertat

Publikováno v: Scientific Reports
Scientific Reports, 2022, 12 (1), 10 p. ⟨10.1038/s41598-022-07767-3⟩
IRTA Pubpro. Open Digital Archive
Institut de Recerca i Tecnologia Agroalimentàries (IRTA)

The present research has estimated the additive and dominance genetic variances of genic and intergenic segments for average daily gain (ADG), backfat thickness (BFT) and pH of the semimembranosus dorsi muscle (PHS). Further, the predictive performan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afb181962a3e47fb31cd00de595542a8
https://hal.inrae.fr/hal-03658501

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Predicting pig digestibility coefficients with microbial and genomic data using machine learning prediction algorithms

Autor: Carillier-Jacquin, Céline, Déru, Vanille, Tusell, Llibertat, Bouquet, Alban, Jacquin, Laval, Gilbert, Hélène

Classical methods as genomic BLUP performs well for genomic prediction of polygenic trait, but does not consider interaction between genes or between genes and other information such as host genetic or microbial data. This study aims at comparing sev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::29c249bae60bfa313e30a7ff6caead2e
https://hal.inrae.fr/hal-03739243

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MACHINE LEARNING ALGORITHMS FOR THE PREDICTION OF FEED EFFICIENCY BASED ON CAECAL MICROBIOTA

Autor: Piles, Miriam, Tusell, Llibertat, Velasco-Galilea, Maria, Helies, Virginie, Drouilhet, Laurence, Zemb, Olivier, Sánchez Juan, Pablo, Garreau, Hervé

Publikováno v: 12th World Rabbit Congress
12th World Rabbit Congress, World Rabbit Science Association, Nov 2021, Nantes, France

International audience; This study aimed at predicting feed conversion ratio (FCR) of young rabbits from abundances of amplicon sequence variants (ASVs) to improve this trait by selecting animals with the most favorable microbiota and identifying the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3379::3661e99d750b848f6fcc5e689b84c82b
https://hal.inrae.fr/hal-03979873

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Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning

Autor: Piles, Miriam, Bergsma, Rob, Gianola, Daniel, Gilbert, Hélène, Tusell, Llibertat

Publikováno v: Frontiers in Genetics
Frontiers in Genetics, Frontiers, 2021, 12, ⟨10.3389/fgene.2021.611506⟩
IRTA Pubpro. Open Digital Archive
Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Frontiers in Genetics, 2021, 12, ⟨10.3389/fgene.2021.611506⟩

Feature selection (FS, i.e., selection of a subset of predictor variables) is essential in high-dimensional datasets to prevent overfitting of prediction/classification models and reduce computation time and resources. In genomics, FS allows identify

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::58a736ddcc8a2b6403a9fdf13d472748
http://hdl.handle.net/20.500.12327/1165

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