Génétique de la qualité de l’œuf

Beaumont, Catherine; Calenge, Fanny; Chapuis, Hervé; Fablet, Julien; Minvielle, Francis; Tixier‐Boichard, Michèle

doi:10.20870/productions-animales.2010.23.2.3294

Cited by 11 publications

(11 citation statements)

References 42 publications

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“…Estimates of heritability, repeatability and genetic correlations (Table 1) were in accordance with the literature [4,15]. Moderate to high heritability coefficients enable significant expected genetic gains through selection with respect to the five egg quality traits.…”

Section: Genetic Parameterssupporting

confidence: 85%

Reliability of genomic evaluation for egg quality traits in layers

et al. 2020

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Background: Genomic evaluation, based on the use of thousands of genetic markers in addition to pedigree and phenotype information, has become the standard evaluation methodology in dairy cattle breeding programmes over the past several years. Despite the many differences between dairy cattle breeding and poultry breeding, genomic selection seems very promising for the avian sector, and studies are currently being conducted to optimize avian selection schemes. In this optimization perspective, one of the key parameters is to properly predict the accuracy of genomic evaluation in pure line layers. Results: It was observed that genomic evaluation, whether performed on males or females, always proved more accurate than genetic evaluation. The gain was higher when phenotypic information was narrowed, and an augmentation of the size of the reference population led to an increase in accuracy prediction with regard to genomic evaluation. By taking into account the increase of selection intensity and the decrease of the generation interval induced by genomic selection, the expected annual genetic gain would be higher with ancestry-based genomic evaluation of male candidates than with genetic evaluation based on collaterals. This advantage of genomic selection over genetic selection requires more detailed further study for female candidates. Conclusions: In conclusion, in the population studied, the genomic evaluation of egg quality traits of breeding birds at birth seems to be a promising strategy, at least for the selection of males.

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Section: Genetic Parameterssupporting

confidence: 85%

Reliability of genomic evaluation for egg quality traits in layers

et al. 2020

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“…Estimates of heritability, repeatability and genetic correlations (cf tables 4 for CC and 5 for IC) were in accordance with the literature [26, 4]. Moderate to high heritability coefficients allow to expect significant genetic gains through selection on the five egg quality traits.…”

Section: Discussionsupporting

confidence: 86%

Relevance of genomic evaluation for egg quality traits in layers

Druet

Varenne

Florian

et al. 2019

Preprint

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Background: Genomic evaluation, based on thousands of genetic markers, has become the standard evaluation methodology in dairy cattle breeding programs over the past few years. Despite the many differences between dairy cattle breeding and poultry breeding, genomic selection seems very promising for the avian sector, and studies are currently being conducted to optimize avian selection schemes. In this optimization perspective, one of the key parameters is to properly predict the accuracy of genomic evaluation in pure line layers.Methods: Both genetic evaluation and genomic evaluation were performed on three candidate populations (male and female), using different sizes of phenotypic records on five egg quality traits and at two different ages. The methodologies used were BLUP & ssGBLUP, and variance-covariance matrices were estimated through REML. To estimate evaluation accuracy, the LR method was implemented. Four statistics were used to assess the relative accuracy of the estimated breeding values of candidates, their bias and dispersion, as well as the differences between genetic evaluation and genomic evaluation.Results: It was observed that genomic evaluation, whether performed on males or females, always proved more accurate than genetic evaluation. The gain was higher when phenotypic information was narrowed and an augmentation of the size of the reference population led to an increase in accuracy prediction, for what regards genomic evaluation. By taking into account the increase of selection intensity and the decrease of the generation interval induced by genomic selection, the expected annual genetic gain would be higher with ancestry-based genomic evaluation of male candidates than with genetic evaluation based on collaterals. This advantage of genomic selection over genetic selection requires to be studied in more details for female candidates. Conclusions:In conclusion, in the population studied, genomic evaluation for egg quality traits of breeding birds at birth seems a promising strategy, at least for what regards males selection.Genomic evaluation, based on thousands of genetic markers [1], has become the 4 standard evaluation methodology in dairy cattle breeding programs over the past 5 few years. It has allowed for the improvement of the accuracy of estimated breeding 6 values (EBV) of young animals and for the reduction of the generation interval, as 7 well as for the reduction of the phenotyping costs [2]. More recently, avian breeders 8 have started to implement genomic selection in their selection schemes. Indeed, 9 despite the many differences between dairy cattle breeding and poultry breeding, 10 genomic selection is deemed very promising for the avian sector, especially for 11 layers selection [3, 4, 5]. However, to optimize avian selection schemes, one of the 12 key parameters is to properly predict the accuracy of genomic evaluation. 13 14 One of the most important factors directly affecting evaluation accuracy is the 15 makeup of the reference population. From the very beginning, gen...

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“…Etant liée à un fort taux de matière sèche dans l'oeuf et aussi à un apport important d'acides gras essentiels, une proportion de vitellus plus élevée peut être considérée comme avantageuse du point de vue de la valeur nutritive de l'oeuf (Zaaboub et Benrahou, 2014). La proportion du jaune (vitellus) est le critère le plus souvent pris en considération en sélection commerciale (Beaumont et al, 2010). Cette différence est surtout due à l'alimentation et au mode d'élevage des deux races.…”

Section: Discussionunclassified

Qualité physico-chimique et nutritionnelle des oeufs de poule locale et de race améliorée consommés à Ouagadougou au Burkina Faso

Samandoulougou¹,

Ilboudo²,

Ouedraogo³

et al. 2016

Int. J. Bio. Chem. Sci

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L'évaluation de la qualité physico-chimique et nutritionnelle des oeufs issus de poule locale et de race améliorée consommés à Ouagadougou au Burkina Faso a porté sur deux cent oeufs répartis en deux lots respectifs de 100 oeufs de race locale et 100 oeufs de race améliorée. Les valeurs des paramètres physiques ont montré une différence entre les types d'oeufs dans la mesure où les oeufs de souche améliorée ont eu un poids total, un indice de forme et un poids moyen de coquille supérieurs aux oeufs de poules locales. Par contre, les pourcentages massiques du vitellus et de la matière comestible des oeufs de race locale ont été supérieurs à ceux des oeufs de race améliorée. La majorité des oeufs avait une forme ovale (83% et 92%). Les oeufs de race améliorée ont présenté une forte diversité de couleurs (7) alors que les oeufs de race locale étaient de couleur blanche ou blanc sale. Une forte corrélation (r= 0,85 et r= 0,92 avec P<0.05) entre le poids des oeufs et la largeur a été observée chez les deux génotypes. Les pH du vitellus et celui de l'albumen des oeufs des deux races sont similaires avec des valeurs respectives de 5 à 6 et de 8 à 9. Les teneurs en glucides (1,55 g), lipides (11,61 g), cendres (2,75 g) et matière sèche (28,68 g) des oeufs de race locale ont été légèrement supérieures à celles des pondeuses. La poursuite de ces travaux préliminaires, tout en prenant en compte l'évaluation de la qualité sanitaire, permettraient de fournir de plus amples données qualitatives sur les oeufs consommés par les populations au Burkina Faso.

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Génétique de la qualité de l’œuf

Cited by 11 publications

References 42 publications

Reliability of genomic evaluation for egg quality traits in layers

Reliability of genomic evaluation for egg quality traits in layers

Relevance of genomic evaluation for egg quality traits in layers

Qualité physico-chimique et nutritionnelle des oeufs de poule locale et de race améliorée consommés à Ouagadougou au Burkina Faso

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