Heritability Estimates and the Interrelationships of Body Weight and Shank Length in Rhode Island Red and White Chickens

Kabir, M.; Oni, OO; Akpa, G. N.; Adeyinka, I. A.

doi:10.3923/pjbs.2006.2892.2896

Cited by 23 publications

(9 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The moderate heritabilities estimated for body weight (0.31–0.44) before heat exposure and during heat treatment are in agreement with those reported in many other reports for the same trait [19–21] (Table 1). Body weight is generally accepted as a moderately heritable trait.…”

Section: Discussionsupporting

confidence: 91%

Genetic analysis of production, physiological, and egg quality traits in heat-challenged commercial white egg-laying hens using 600k SNP array data

et al. 2019

View full text Add to dashboard Cite

Background Heat stress negatively affects the welfare and production of chickens. High ambient temperature is considered one of the most ubiquitous abiotic environmental challenges to laying hens around the world. In this study, we recorded several production traits, feed intake, body weight, digestibility, and egg quality of 400 commercial white egg-laying hens before and during a 4-week heat treatment. For the phenotypes that had estimated heritabilities (using 600k SNP chip data) higher than 0, SNP associations were tested using the same 600k genotype data. Results Seventeen phenotypes had heritability estimates higher than 0, including measurements at various time points for feed intake, feed efficiency, body weight, albumen weight, egg quality expressed in Haugh units, egg mass, and also for change in egg mass from prior to heat exposure to various time points during the 4-week heat treatment. Quantitative trait loci (QTL) were identified for 10 of these 17 phenotypes. Some of the phenotypes shared QTL including Haugh units before heat exposure and after 4 weeks of heat treatment. Conclusions Estimated heritabilities differed from 0 for 17 traits, which indicates that they are under genetic control and that there is potential for improving these traits through selective breeding. The association of different QTL with the same phenotypes before heat exposure and during heat treatment indicates that genomic control of traits under heat stress is distinct from that under thermoneutral conditions. This study contributes to the knowledge on the genomic control of response to heat stress in laying hens. Electronic supplementary material The online version of this article (10.1186/s12711-019-0474-6) contains supplementary material, which is available to authorized users.

show abstract

Section: Discussionsupporting

confidence: 91%

Genetic analysis of production, physiological, and egg quality traits in heat-challenged commercial white egg-laying hens using 600k SNP array data

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The low to high positive estimates of genetic correlation obtained in IBxNa, FxIB, NaxIB and NxIB genotypes between 2 and 20 weeks agree with the findings of Udeh (2017) while the moderate to high estimates found in IBxF and IBxN at the same age range are similar to those of Kabir et al (2006). The different ranges of the genetic correlation estimates obtained in the genotypes are an indication that different proportions of additive genetic variances existed in these genotypes, thus supporting the claim that the genotype of an animal contributes to variation in additive genes for traits (Hill 2010).…”

Section: Genetic Correlationsupporting

confidence: 89%

“…Similarly, Ukwu et al (2014) and Nwaogwugwu et al (2018) had reported shank length and thigh length in chicken and quail, respectively as the best predictors of body weight based on their positive relationship. Kabir et al (2006) also obtained high and positive phenotypic correlation between shank length and body weight and opined that it was possible to predict body weight of live Rhode Island chickens on the basis of their shank length measurement. The higher phenotypic correlation estimates of reciprocal crosses than the main crosses suggest that the former may have faster growth rate than the later.…”

Section: Phenotypic Correlationmentioning

confidence: 98%

Phenotypic, Genetic and Environmental Correlations Between Body Weight and Linear Body Traits of Chicken Genotypes

2021

Agrobiol. Records

View full text Add to dashboard Cite

Data from 123, 49, 116, 137, 42 and 64 chickens belonging to Isa Brown x frizzle feathered (IBxF), Isa Brown x naked neck (IBxNa), Isa Brown x normal feathered (IBxN), frizzle feathered x Isa Brown (FxIB), naked neck x Isa Brown (NaxIB) and normal feathered x Isa Brown (NxIB) genotypes, respectively were used to establish phenotypic (rP), genetic (rG) and environmental (rE) correlations between body weight and linear body traits at 2, 10 and 20 weeks of age. Phenotypic correlations were analyzed by Pearson’s Product Moment method. Genetic and environmental correlations were estimated by covariance analysis. The highest rP estimates were obtained between body weight and shank length (SL) in IBxF (0.84) and NxIB (0.87) at 10 weeks, body width (BW) in IBxNa (0.84) and IBxN (0.72), drumstick length (DL) in FxIB (0.71) and NaxIB (0.88) at 20 weeks. Body weight had highest rG estimates with SL in NxIB (0.99), BW in IBxF (2.40), wing length (WL) in BxNa (0.91) and FxIB (7.39) at 10 weeks, body girth (BG) in IBxN (0.97) and BW of NaxIB (4.73) at 20 weeks. However, SL of IBxNa (-5.15), BG of NaxIB (-0.53), keel length (KL) of NxIB (0.35), WL of IBxF (-0.38) and FxIB (-1.41) at 2 weeks and WL of IBxN (-0.43) at 20 weeks had the least rE with body weight. Indirect selection of body weight using the highest phenotypic, genetic and lowest environmental correlated linear traits will result in rapid genetic improvement in these chickens.

show abstract

“…As far as we know, this is the first study comprehensively estimating the genetic correlations among BW, CH, SG, SL and FM. Kabir et al estimated the direct additive genetic correlation between BW and SL in Rhode Island Red and White Chickens using measurements of 361 individuals based on a model for nested design (Kabir et al, 2006). The estimates ranged from 0.582 to 0.645 at different ages, which are higher than those in our study (0.08–0.21).…”

Section: Discussionmentioning

confidence: 99%

Estimation of genetic parameters for important traits using a multi‐trait model in late‐feathering Qingyuan partridge hens in China

Kang

Ren

et al. 2022

J Animal Breeding Genetics

View full text Add to dashboard Cite

Qingyuan partridge chicken is one of the most well-known Chinese indigenous yellow broilers. In breeding programmes, five traits are usually selected when the chickens are 105 days old, namely body weight (BW), comb height (CH), shank length (SL), shank girth (SG) and feather maturity (FM). The objective of this study was to estimate the genetic parameters of these five traits, especially direct additive genetic correlations, to lay the foundation for balanced selection of Qingyuan partridge chickens. Approximately 9600 records were used for estimation. Variance components for these five traits were estimated using three multitrait models incorporating different effects via Gibbs sampling. Based on model 1 in which the random effects included direct additive genetic effects and residuals, the estimated direct heritabilities for BW, CH, SL, SG and FM were 0.29 ± 0.04, 0.53 ± 0.04, 0.47 ± 0.04, 0.43 ± 0.05 and 0.18 ± 0.03, respectively. The direct genetic correlations ranged from −0.08 to 0.46. When additionally considering maternal additive genetic effects (model 2), the estimates of direct heritabilities and absolute values of direct additive genetic correlations were smaller. The heritabilities were 0.14 ± 0.04, 0.40 ± 0.02, 0.34 ± 0.05, 0.27 ± 0.05 and 0.12 ± 0.03 for BW, CH, SL, SG and FM, respectively. The direct additive genetic correlations ranged from −0.33 to 0.36. More specifically, the direct additive genetic correlations between BW and CH, SL, SG and FM were 0.19 ± 0.13, 0.15 ± 0.15, 0.36 ± 0.15 and − 0.33 ± 0.21, respectively. The genetic correlations of FM with SL, SG and CH were − 0.15 ± 0.15, −0.08 ± 0.17 and 0.18 ± 0.15, respectively. The direct genetic correlations between CH and SG and SL were − 0.02 ± 0.11 and − 0.20 ± 0.11, respectively, and that between SL and SG was 0.19 ± 0.11. The total heritabilities and maternal additive genetic correlations ranged from 0.16 to 0.44 and from −0.13 to 0.61, respectively.The third model also included the maternal permanent environmental effect for BW. The estimates of direct heritability, direct additive genetic correlation, total heritability and maternal additive genetic correlation were only slightly different

show abstract

Heritability Estimates and the Interrelationships of Body Weight and Shank Length in Rhode Island Red and White Chickens

Cited by 23 publications

References 5 publications

Genetic analysis of production, physiological, and egg quality traits in heat-challenged commercial white egg-laying hens using 600k SNP array data

Genetic analysis of production, physiological, and egg quality traits in heat-challenged commercial white egg-laying hens using 600k SNP array data

Phenotypic, Genetic and Environmental Correlations Between Body Weight and Linear Body Traits of Chicken Genotypes

Estimation of genetic parameters for important traits using a multi‐trait model in late‐feathering Qingyuan partridge hens in China

Contact Info

Product

Resources

About