- Genetic and phenotypic traits in livestock
- Animal Nutrition and Physiology
- Genetic Mapping and Diversity in Plants and Animals
- Rabbits: Nutrition, Reproduction, Health
- Animal Behavior and Welfare Studies
- Reproductive Physiology in Livestock
- Sperm and Testicular Function
- Effects of Environmental Stressors on Livestock
- Ruminant Nutrition and Digestive Physiology
- Agriculture Sustainability and Environmental Impact
- Genetics and Plant Breeding
- Reproductive Biology and Fertility
- Meat and Animal Product Quality
- Gene expression and cancer classification
- Animal Disease Management and Epidemiology
- Assisted Reproductive Technology and Twin Pregnancy
- Ovarian function and disorders
- Milk Quality and Mastitis in Dairy Cows
- Silkworms and Sericulture Research
- Genetic Associations and Epidemiology
- Moringa oleifera research and applications
- Food Industry and Aquatic Biology
- Bee Products Chemical Analysis
Institute of Agrifood Research and Technology
2011-2025
Génétique Physiologie et Systèmes d'Elevage
2014-2022
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2022
Université de Toulouse
2016-2021
École Nationale Supérieure Agronomique de Toulouse
2018-2020
Institut National Polytechnique de Toulouse
2016-2020
École Nationale Vétérinaire de Toulouse
2016-2020
University of Wisconsin–Madison
2013-2014
Département Biologie et Amélioration des Plantes
2010-2013
Feature selection (FS, i.e., of a subset predictor variables) is essential in high-dimensional datasets to prevent overfitting prediction/classification models and reduce computation time resources. In genomics, FS allows identifying relevant markers designing low-density SNP chips evaluate candidates. this research, several univariate multivariate algorithms combined with various parametric non-parametric learners were applied the prediction feed efficiency growing pigs from genomic data....
Due to the lack of a recording system for individual consumption group-housed rabbits, published studies about feeding behaviour are based on information recorded at group- and not level periods covering only few days or, in some cases, part day. Such could be used inform rabbit management systems but cannot genetic selection. We aimed generate use from novel automated feeder rabbits identify new phenotypes animals that incorporated into breeding programs improve feed efficiency social under...
Recent work has suggested that the performance of prediction models for complex traits may depend on architecture target traits. Here we compared several with respect to their ability predicting phenotypes under various statistical architectures gene action: (1) purely additive, (2) additive and dominance, (3) two-locus epistasis, (4) epistatic settings. Simulation a real chicken dataset were used. Fourteen compared: BayesA, BayesB, BayesC, Bayesian LASSO, ridge regression, elastic net,...
Feed consumption and feeding patterns influence the individual feed efficiency in group-housed livestock species. Using meal as unit of behaviour, main objectives this research were to identify behaviour (FB) traits that may indicate an individual's rank within social hierarchy or its level dominance among pen mates assess relationship between growth with identified traits, well those describing patterns. Data from 5516 pigs during fattening period used. Pens equipped automatic concentrate...
Predictive ability of models for litter size in swine on the basis different sources genetic information was investigated. Data represented average 2598, 1604 and 1897 60K genotyped sows from two purebred one crossbred line, respectively. The correlation (r) between observed predicted phenotypes a 10-fold cross-validation used to assess predictive ability. Models were: pedigree-based mixed-effects model (PED), Bayesian ridge regression (BRR), LASSO (BL), genomic BLUP (GBLUP), reproducing...
In crossbreeding schemes, within-line selection of purebreds is performed mainly to improve the performance crossbred descendants under field conditions. The genetic correlation between purebred and an important parameter be assessed because can a poor predictor offspring. With availability high-density markers, feasibility using information evaluate candidates reassessed. This study implements applies single-step terminal-cross model (GEN) real data estimate parameters several production...
Animals under environmental thermal stress conditions have reduced fertility due to impairment of some mechanisms involved in their reproductive performance that are different males and females. As a consequence, the most sensitive periods time magnitude effect temperature on can differ between sexes. The objective this study was estimate separately around insemination male female by using product threshold model. This model assumes an observed reproduction outcome is result 2 unobserved...
We investigated the effectiveness of mate allocation strategies accounting for non-additive genetic effects to improve crossbred performance in a two-way crossbreeding scheme. did this by computer simulation 10 generations evaluation and selection. QTL were simulated as correlated across purebreds crossbreds, (positive) heterosis was directional dominance. The purebred-crossbred correlation 0.30 or 0.68 depending on variance component used. Dominance additive marker estimated simultaneously...
Summary A Bayesian bivariate Linear‐Threshold Animal Model was implemented to determine the genetic correlation between fertility (F), defined as success or failure conceive, and average daily gain (ADG) in a rabbit line selected for ADG. total of 27 234 records F from 7895 females 1293 males, 114 135 ADG were used analysis. The pedigree included 485 animals. model systematic effects year‐season, parity order number kids born alive, animal additive effect, maternal paternal permanent...
Predictive ability of yet-to-be observed litter size (pig) grain yield (wheat) records several reproducing kernel Hilbert spaces (RKHS) regression models combining different number Gaussian or t kernels was evaluated. performance assessed as the average (over 50 replicates) predictive correlation in testing set. Predictions from these were combined using three types model averaging: (i) mean predicted phenotypes obtained each model, (ii) weighted squared error weight (iii) marginal...
Abstract Preweaning piglet mortality (PWM), a trait highly related to litter size, is one of the main concerns associated with productive efficiency and animal welfare in commercial pig farms. The objectives this work were study survival at farm level, establish rate (SR) as target indicator be improved, model it based on other reproductive parameters. Analyzed data corresponded 580 Spanish farms total inventory 809,768 sows. These showed mean SR 85.70% piglets born alive (BA), which...
Failures in fertilization or embryogenesis have been shown to be partly the result of poor semen quality. When AI is practiced, rate depends on number and quality spermatozoa insemination dose around time application. Individual variation male effect fertility (success failure conceive; Fert) prolificacy (total kids born per litter; TB) could also depend these factors, it better observed under limited conditions AI, such as decreased sperm concentration, small null preselection ejaculates...
This work aims to estimate the genetic parameters of seminal and production traits in a paternal line rabbits selected for ADG during fattening period. The considered were male libido (Lib) defined as successful mounting an artificial vagina; presence urine (Ur) calcium carbonate deposits (Ca) ejaculate; semen pH; individual sperm motility (IM); suitability AI ejaculate (Sui), which involves subjective combination several quality traits; average volume (Vol); concentration (Conc); per (Prod...
This paper aims at reviewing the current genetic knowledge of issues related to efficient use bucks in artificial insemination (AI). Differences between lines have been found relevant semen production and quality traits not necessarily their specialization as maternal or paternal lines. Accurate heritability estimates indicate that selection for increasing by improving male libido reducing number rejected ejaculates may be effective. However, total sperm produced per ejaculate appears an...
The general aim of this research was to study the effect high ambient temperature on performance does during lactation, specifically following factors: average daily feed (ADFI) and water (ADWI) intakes, milk yield (DMY); composition: dry matter (DM), CP gross energy (GE); doe BW (DW); individual kit weaning weight (IWW) litter survival rate lactation (SR). undertaken comparing two groups contemporary reared under same management, feeding regime environmental conditions, except humidity. A...
Mate allocation strategies that account for non-additive genetic effects can be used to maximize the overall merit of future offspring. Accounting dominance in evaluations is easier a genomic context, than classical pedigree-based context because combinations alleles at loci are known. The objective our study was two-fold. First, variance components were estimated age 100 kg (AGE), backfat depth (BD) 140 days, and average piglet weight birth within litter (APWL). Second, efficiency mate...
The feed consumption and feeding patterns of group-housed livestock their productive outputs can be affected by interactions among group members, such as competition for feeder access aggression. impact is especially significant when restriction implemented during the fattening stage, a common practice in rabbit farms to reduce mortality from digestive disorders this period. overall aim was quantify importance social interaction effects at genetic environmental level on efficiency, behaviour...
Abstract Background The herd age structure, i.e., distribution of sows within a farm based on their parity number, and its management are essential to optimizing reproductive efficiency. objective this study is define different types structure using data from 623 Spanish commercial sow farms. Additionally, aims determine which type can enhance efficiency at the level. Results Farms classified into three groups according quadratic function fitted percentage by parities. This classification...
This study examines the global evolution of sow productivity, with a particular focus on Spain. The analysis is based key performance metrics such as piglets weaned per year (PWSY), prolificacy, and pre-weaning mortality, utilizing data from literature reviews, InterPIG, BDporc® databases. Globally, significant advancements in genetic selection management practices have led to productivity increases across major pig-producing countries, notable improvements prolificacy. However, higher...
This work aimed to study the relationship between pH of semen and fertility (Fert, defined as success or failure conception), which is special interest because can be considered a global marker expression some seminal quality traits. Different methods used model Fert are presented here: 1) ignoring genetic environmental correlations including either covariate cross-classified effect on fertility, 2) bivariate mixed model, 3) recursive models. A total 653 records 6,365 after AI were used....
This research assessed the ability of a Support Vector Machine (SVM) regression model to predict pig crossbred (CB) performance from various sources phenotypic and genotypic information for improving crossbreeding at reduced genotyping cost. Data consisted average daily gain (ADG) residual feed intake (RFI) records genotypes 5,708 purebred (PB) boars 5,007 CB pigs. Prediction models were fitted using individual PB phenotypes ( trn.1 ); sires per sire trn.2 trn.3 ). The offspring was trait be...
The partition of the total genetic variance into its additive and non-additive components can differ from trait to trait, between purebred crossbred populations. A quantification these will determine extent which it would be interest account for dominance in genomic evaluations or establish mate allocation strategies along different populations traits. This study aims at assessing contribution variances phenotype expression several Piétrain (Piétrain × Large White) pig performances. 636 720...
Two models can be used for studying binary results of AI. The additive threshold model proposes an underlying variable as summing the environmental and genetic effects from 2 individuals involved in mating, product assumes that conditional probability AI success is probabilities unobserved phenotypes (one male fertility; other female fertility). purpose this paper to compare predictive ability obtained with 3 different species: cattle, sheep, rabbits. Results showed similar sheep rabbits but...