ArticlePoultry science2018
Relationships among mortality, performance, and disorder traits in broiler chickens: a genetic and genomic approach.
Article in Poultry science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Effects of phytogenic feed additive on growth performance, gut health, and antioxidant capacity in broiler chickens challenged with pathogenic Eimeria tenella.Poultry science · 2026Article
- Integrative Omics Defines Metabolic Biomarkers and Genetic Regulatory Mechanisms of Mortality Risk.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Genetic Strategies for Enhancing Rooster Fertility in Tropical and Humid Climates: Challenges and Opportunities.Animals : an open access journal from MDPI · 2025Review
- Genomic Prediction and Genome-Wide Association Study for Growth-Related Traits in Taiwan Country Chicken.Animals : an open access journal from MDPI · 2025Article
- Genetic background of walking ability and its relationship with leg defects, mortality, and performance traits in turkeys (Meleagris gallopavo).Poultry science · 2024Article
- Reviewing the definition of mortality in broiler chickens and its implications in genomic evaluations.Journal of animal science · 2024Article
- Temporal dynamics of genetic parameters and SNP effects for performance and disorder traits in poultry undergoing genomic selection.Journal of animal science · 2024Article
- Profiles of genetic parameters of body weight and feed efficiency in two divergent broiler lines for meat ultimate pH.BMC genomic data · 2022Article
- Validation of single-step GBLUP genomic predictions from threshold models using the linear regression method: An application in chicken mortality.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2021Article
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7 authors.
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Abstract
Four performance-related traits [growth trait (GROW), feed efficiency trait 1 (FE1) and trait 2 (FE2), and dissection trait (DT)] and 4 categorical traits [mortality (MORT) and 3 disorder traits (DIS1, DIS2, and DIS3)] were analyzed using linear and threshold single- and multi-trait models. Field data included 186,596 records of commercial broilers from Cobb-Vantress, Inc. Average-information restricted maximum likelihood and Gibbs sampling-based methods were used to obtain estimates of the (co)variance components, heritabilities, and genetic correlations in a traditional approach using best linear unbiased prediction (BLUP). The ability to predict future breeding values (measured as realized accuracy) was checked in the last generation when traditional BLUP and single-step genomic BLUP were used. Heritability estimates for GROW, FE1, and FE2 in single- and multi-trait models were similar and moderate (0.22 to 0.26) but high for DT (0.48 to 0.50). For MORT, DIS1, and DIS2, heritabilities were 0.13, 0.24, and 0.34, respectively. Estimates from single- and multi-trait models were also very similar. However, heritability for DIS3 was higher from the single-trait threshold model than for the multi-trait linear-threshold model (0.29 vs. 0.19). Genetic correlations between growth traits and MORT were weak, except for maternal GROW, which had a moderate negative correlation (-0.50) with MORT. The genetic correlation between MORT and DIS1 was strong and positive (0.77). Feed efficiency 1, which was moderately heritable (0.25) and is highly selected for, was not genetically related to MORT of broilers and other disorders. Broiler MORT also had moderate heritability (0.13), which suggests that MORT and FE1 can be improved through selection without negatively impacting other important traits. Selection of heavier maternal GROW also may decrease offspring MORT.
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