ArticlePoultry science2024
Research Note: Genetic parameters estimation of egg quality traits in Rhode Island Red and White Leghorn chickens.
Article in Poultry science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Cooked yolk fatty acid and metabolomic profiles reveal a greater docosahexaenoic acid proportion in one green-shell crossbred hen combination.Poultry science · 2026Article
- Detection of quantitative trait loci and genetic correlations of lipid reserves and production traits in aging laying hens.Poultry science · 2026Article
- Genetic response and metabolic adaptation to partial-record selection for egg production in Dokki-4 laying hens.Scientific reports · 2025Article
- Multi-omics reveals key cell types and gene families regulating eggshell strength in chicken uteri.Zoological research · 2025Article
- Genetic parameters estimation for egg quality traits of four chicken breeds using a full diallel cross.Tropical animal health and production · 2025Article
- Brown-shell eggs shows high incidence of blood and meat spots accompanied by unique microbial distribution patterns.Frontiers in nutrition · 2025Article
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Authors and funding
7 authors.
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Abstract
The continuous increasing demand for egg quality and quantity, and the expanding market share have enabled the egg industry to achieve significant benefits through genetic improvement. This study aims to estimate the genetic parameters and explore selectable breeding traits in the purebred Rhode Island Red (RIR) and White Leghorn (WL), which are 2 high-yielding layer breeds, and better understand their underlying genetic basis and accelerate genetic progress. The DMU software was utilized to analyze 12 egg quality traits, including egg length (EL), egg width (EW), egg shape index (ESI), egg weight (EWT), albumen height (AH), yolk color (YC), Haugh unit (HU), yolk weight (YW), albumen weight (AW), albumen-to-egg weight ratio (AWR), yolk-to-albumen ratio (YAR), and yolk-to-egg weight ratio (YWR). In RIR, the heritability of egg quality traits ranged from 0.196 to 0.427, while the repeatability ranged from 0.395 to 0.668. In WL, the heritability of egg quality traits ranged from 0.203 to 0.347, and the repeatability ranged from 0.424 to 0.656. In both RIR and WL, highly strong genetic correlations were observed between AW and EW, as well as between AW and EWT. The genetic correlations for AW and EW were 0.902 in RIR and 0.864 in WL, while the genetic correlations for AW and EWT were 0.981 in RIR and 0.960 in WL. The egg quality traits in both breeds showed moderate heritability, indicating great genetic potential for improvement through selective breeding. This can help breeders meet the increasingly diverse egg preferences of consumers through genetic selection. Additionally, there is a highly strong correlation between egg width/egg weight, and albumen weight in both breeds. In practical production, it is feasible to estimate albumen weight by measuring egg width and egg weight, which can simplify the method for measuring albumen weight. In conclusions, our finding provided valuable insights into the genetic architecture of egg quality traits in RIR and WL chickens. They help our understanding of the potential for genetic improvement of these traits through selective breeding programs.
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