Genetic Improvement of Local Chickens by Crossing with the Label Rouge (T55XSA51): Growth Performances and Heterosis Effects

Karim, Issaka Youssao Abdou; Senou, M.; Dahouda, M.; Kpodékon, M.; Djenontin, Jonas André; Idrissou, N.D.; Bonou, G.A.; Tougan, U.P.; Ahounou, S.; Assogba, H.M.; Bankolé, E.; Rognon, Xavier; Tixier‐Boichard, Michèle

doi:10.3923/ijps.2009.536.544

Cited by 15 publications

(8 citation statements)

References 8 publications

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“…Within the RCFS, according to surveys conducted in Benin [ 14 ], the weight and body measures of Savannah chickens (north of Benin) were found to be significantly higher than those of Forest chickens (south of Benin). Experimental comparisons [ 67 ] showed the same difference, suggesting that it could correspond, to some extent, to genetic effects, although no significant difference ( P = 0.059) was observed between animals of northern and southern part of Benin, according to the Structure analysis restricted to Benin, Ghana, and Côte d’Ivoire (based on the individuals q i ). The number of markers used may be too limited to ensure detection of a genetic differentiation on a quantitative trait such as growth.…”

Section: Discussionmentioning

confidence: 90%

Gene diversity, agroecological structure and introgression patterns among village chicken populations across North, West and Central Africa

et al. 2012

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BackgroundChickens represent an important animal genetic resource for improving farmers’ income in Africa. The present study provides a comparative analysis of the genetic diversity of village chickens across a subset of African countries. Four hundred seventy-two chickens were sampled in 23 administrative provinces across Cameroon, Benin, Ghana, Côte d’Ivoire, and Morocco. Geographical coordinates were recorded to analyze the relationships between geographic distribution and genetic diversity. Molecular characterization was performed with a set of 22 microsatellite markers. Five commercial lines, broilers and layers, were also genotyped to investigate potential gene flow. A genetic diversity analysis was conducted both within and between populations.ResultsHigh heterozygosity levels, ranging from 0.51 to 0.67, were reported for all local populations, corresponding to the values usually found in scavenging populations worldwide. Allelic richness varied from 2.04 for a commercial line to 4.84 for one population from Côte d’Ivoire. Evidence of gene flow between commercial and local populations was observed in Morocco and in Cameroon, which could be related to long-term improvement programs with the distribution of crossbred chicks. The impact of such introgressions seemed rather limited, probably because of poor adaptation of exotic birds to village conditions, and because of the consumers’ preference for local chickens. No such gene flow was observed in Benin, Ghana, and Côte d’Ivoire, where improvement programs are also less developed. The clustering approach revealed an interesting similarity between local populations found in regions sharing high levels of precipitation, from Cameroon to Côte d’Ivoire. Restricting the study to Benin, Ghana, and Côte d’Ivoire, did not result in a typical breed structure but a south-west to north-east gradient was observed. Three genetically differentiated areas (P < 0.01) were identified, matching with Major Farming Systems (namely Tree Crop, Cereal-Root Crop, and Root Crop) described by the FAO.ConclusionsLocal chickens form a highly variable gene pool constituting a valuable resource for human populations. Climatic conditions, farming systems, and cultural practices may influence the genetic diversity of village chickens in Africa. A higher density of markers would be needed to identify more precisely the relative importance of these factors.

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Section: Discussionmentioning

confidence: 90%

Gene diversity, agroecological structure and introgression patterns among village chicken populations across North, West and Central Africa

et al. 2012

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“…Many studies have demonstrated that the cross breeding of exotic chickens with native chickens results in better performances [10,11]. The synthetic chickens were reported to be compared to purebred native chickens, with a higher growth rate and maintaining meat quality similar to those of native chickens [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Genetic Evaluation of Body Weights and Egg Production Traits Using a Multi-Trait Animal Model and Selection Index in Thai Native Synthetic Chickens (Kaimook e-san2)

Chomchuen

Tuntiyasawasdikul

Chankitisakul

et al. 2022

Animals

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To improve the genetics of both growth and egg production, which are limitations in purebred native chickens, new genetic lines can be developed using an appropriate genetic approach. The data used in this study included 2713 body weight (BW0, BW4, BW6, BW8, and BW10), breast circumference (BrC6), chicken age at first egg (AFE), and egg production (240EP, 270EP, 300EP, and 365EP) records covering the period 2015 to 2020. A multi-trait animal model with the average information-restricted maximum likelihood (AI-REML) and a selection index was used to estimate the variance components, genetic parameters, and breeding values. The results showed that males had significantly higher weights than females (p < 0.05) from 4 to 10 weeks of age and that this difference increased over the generations. The differences between BW0 and BrC6 by sex and generation were not significant (p > 0.05). The estimated heritability of body weight ranged from 0.642 (BW0) to 0.280 (BW10); meanwhile, the estimated heritability of BrC6 was moderate (0.284). For egg production traits, the estimated heritability of 240EP, 270EP, 300EP, and 365EP was 0.427, 0.403, 0.404, and 0.426, respectively, while the estimated heritability of AFE was 0.269. The genetic and phenotypic correlations among the growth traits (BW0 to BW10) were low to highly positive. The genetic and phenotypic correlations between growth (BW0 to BW10) and BrC6 traits were positive, and the genetic correlations between BW6 (0.80), BW8 (0.84), BW10 (0.93), and BrC6 were strongly positive. Genetic correlations among the egg production traits (240EP, 270EP, 300EP, and 365EP) were low to highly positive and ranged from 0.04 to 0.86. The genetic correlations between AFE and all egg production traits were low to moderately negative and ranged from −0.14 to −0.29. The positive genetic correlations between body weight (BW6, BW8, and BW10) and egg production traits were found only in 240EP. The average genetic progress of body weight traits ranged from −0.38 to 30.12 g per generation for BW0 to BW10 (p < 0.05); the genetic progress was 0.28 cm per generation for BrC6 (p > 0.05). The average genetic progress of cumulative egg production traits ranged from 4.25 to 12.42 eggs per generation for 240EP to 365EP (p < 0.05), while the average genetic progress of AFE was −7.12 days per generation (p < 0.05). In conclusion, our study suggests that the body weight at six weeks of age (BW6), breast circumference at six weeks of age (BrC6), cumulative egg production at 240 days of age (240EP), and age at first egg (AFE) are the traits that should be used as selection criteria, as they have a positive effect on the development of growth and egg production.

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“…These indigenous poultry have a remarkable heterogeneity in phenotypical traits (Youssao et al, 2007) and polymorphism trait (Youssao et al, 2009). …”

Section: Introductionmentioning

confidence: 99%

“…Several studies were carried out on carcass traits of these local genetic types (Youssao et al, 2009;Youssao et al, 2010;Youssao et al, 2012;Tougan et al, 2013a). The recent studies carried out on the effect of breeding mode, type of muscle and slaughter age on technological meat quality of these local chickens of Benin (Tougan et al, 2013c) on the one hand, and on variation of nutritional quality of meat of local poultry population of Gallus gallus specie of Benin (Tougan et al, 2013d) on the other hand showed significant variation of technological and nutritional qualities.…”

Section: Introductionmentioning

confidence: 99%

Relationships between technological and nutritional meat quality parameters in local poultry populations (<i>Gallus gallus</i>) of Benin

Tougan¹,

Dahouda²,

Salifou³

et al. 2014

Int. J. Bio. Chem. Sci

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The current work aims at determining relationships between technological and nutritional meat quality parameters in Holli, Fulani, Sahoue, North and South indigenous chicken ecotypes of Benin. Color parameters (L*, a*, b*, hue and chroma), pH, texture, dry matter content, protein content, fat content, and ash content were collected on 52 cockerels of each ecotype slaughtered at 24 weeks old. In Holli chickens, dry matter content was highly and positively correlated with protein content (P<0.001; r = 0.57), moderately and positively associated to ash content, redness, yellowness and chroma (P<0.01), but weakly and negatively correlated with the luminance and hue (P<0.05). Fat content was highly and positively correlated with the texture, pH4, pH12, pH24, a* and chroma (P<0.001; 0.46 ≤ r ≤ 0.85), but highly and negatively correlated with the protein content and luminance (P<0.001; -0.64 ≤ r ≤ -0.47). Except dry matter content, protein content was negatively correlated with the others parameters. Correlations between dry matter and the other meat quality traits of North chickens were similar to those of Holli chickens except fat content, pH, L*, b* and hue. Except texture, the correlations between dry matter concentration and the other meat quality traits of South and Fulani chickens were similar to those of Sahoue chickens. South chickens and to a lesser extent Fulani and Sahoue chickens were characterized by higher dry matter, shear force, breast cooking loss, yellowness and pH24, while Holli chickens were characterized by greater protein content, organic matter content, moisture, thigh cooking loss, hue, pH1, pH4, pH8 and pH12. North chickens were characterized by higher ash content, fat content and luminance.

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Genetic Improvement of Local Chickens by Crossing with the Label Rouge (T55XSA51): Growth Performances and Heterosis Effects

Cited by 15 publications

References 8 publications

Gene diversity, agroecological structure and introgression patterns among village chicken populations across North, West and Central Africa

Gene diversity, agroecological structure and introgression patterns among village chicken populations across North, West and Central Africa

Genetic Evaluation of Body Weights and Egg Production Traits Using a Multi-Trait Animal Model and Selection Index in Thai Native Synthetic Chickens (Kaimook e-san2)

Relationships between technological and nutritional meat quality parameters in local poultry populations (<i>Gallus gallus</i>) of Benin

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