Absence of population substructuring in Zimbabwe chicken ecotypes inferred using microsatellite analysis

Muchadeyi, Farai C.; Eding, Herwin; Wollny, C.B.A.; Groeneveld, Eildert; Makuza, S. M.; Shamseldin, Rania M.; Simianer, Henner; Weigend, Steffen

doi:10.1111/j.1365-2052.2007.01606.x

Cited by 100 publications

(168 citation statements)

References 26 publications

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“…The observed differences in the relationships between meat qualities traits among genotype could be related to the genetic variability of carcass traits that exist among those studied ecotypes (Tougan et al, 2013a). This result confirms the finding of Youssao et al (2010) who showed that indigenous chicken populations of Benin are characterized by a great genetic diversity than that reported for commercial lines chicken (Granevitze et al, 2007;Muchadeyi et al, 2007;Berthouly et al, 2008). In accordance with Havenstein et al (2003aHavenstein et al ( , 2003b, technological and nutritional meat quality depend on genotype.…”

Section: Discussion Correlations Between Technological and Nutritionasupporting

confidence: 80%

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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Section: Discussion Correlations Between Technological and Nutritionasupporting

confidence: 80%

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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“…Furthermore, the differentiation between Tanzanian chicken ecotypes (F ST 0.048) was found to be smaller than between commercial chicken lines. This is in agreement with several molecular studies, which revealed higher heterozygosity and lower F ST values between African local chickens than between commercial lines (Muchadeyi et al, 2007;Eltanany et al, 2011;Fosta et al, 2011;Goraga, et al, 2011;Mtileni et al, 2011a). In contrast to commercial lines, which have been managed as distant breeding populations for many generations, following a strict selection scheme, a higher genetic diversity in Tanzania chickens can be expected, as they are managed in a free-range system with random breeding and no selection for performance traits.…”

Section: Discussionsupporting

confidence: 76%

“…From molecular genetic marker analyses, the expected and observed heterozygosity estimates were higher in Tanzanian indigenous chickens compared with commercial breeds reported earlier (Granevitze et al, 2007;Muchadeyi et al, 2007;Bodzar et al, 2009;Fosta et al, 2011). Furthermore, the differentiation between Tanzanian chicken ecotypes (F ST 0.048) was found to be smaller than between commercial chicken lines.…”

Section: Discussionmentioning

confidence: 89%

Assessing the genetic diversity of five Tanzanian chicken ecotypes using molecular tools

Lyimo¹,

Weigend²,

Janssen-Tapken³

et al. 2014

SA J. An. Sci.

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The study aimed to evaluate the genetic diversity of Tanzanian chicken populations through phylogenetic relationship, and to trace the history of Tanzanian indigenous chickens. Five ecotypes of Tanzanian local chickens (Ching'wekwe, Kuchi, Morogoro-medium, Pemba and Unguja) from eight regions were studied. Diversity was assessed based on morphological measurements and 29 microsatellite markers recommended by ISAG/FAO advisory group on animal genetic diversity. A principal component analysis (PCA) of morphological measures distinguished individuals most by body sizes and body weight. Morogoro Medium, Pemba and Unguja were grouped together, while Ching'wekwe stood out because of their disproportionate short shanks and ulna bones. Kuchi formed an independent group owing to their comparably long body sizes. Microsatellite analysis revealed three clusters of Tanzanian chicken populations. These clusters encompassed i) Morogoro-medium and Ching'wekwe from Eastern and Central Zones ii) Unguja and Pemba from Zanzibar Islands and iii) Kuchi from Lake Zone regions, which formed an independent cluster. Sequence polymorphism of D-loop region was analysed to disclose the likely maternal origin of Tanzanian chickens. According to reference mtDNA haplotypes, the Tanzanian chickens that were sampled encompass two haplogroups of different genealogical origin. From haplotype network analysis, Tanzanian chickens probably originated on the Indian subcontinent and in Southeast Asia. The majority of Kuchi chickens clustered in a single haplogroup, which was previously found in Shamo game birds sampled from Shikoku Island of Japan in the Kōchi Prefecture. Analysis of phenotypic and molecular data, as well as the linguistic similarity of the breed names, suggests a recent introduction of the Kuchi breed to Tanzania.

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“…For example, Hakka people prefer to keep their native chickens but they do not reproduce their own chicks, they always purchase large and sturdy chicks from hatchery or salesman irrespective to a specific breed (Lee, 2006). Such results are also consistent with values observed in village chickens in both Zimbabwe (Muchadeyi et al, 2007) and Ethiopia (Goraga et al, 2012) where local chickens have not been selected for performance traits and are managed in a free-range system. The F IS values ranged from 0.090 in Hakka strain to 0.283 in Golden chicken, which is a much larger range than the range observed in Taiwanese conserved chicken breeds (−0.053 to 0.068) by Berthouly et al (2008).…”

Section: Genetic Diversity Within Chicken Breedssupporting

confidence: 80%

Genetic Characterization of Taiwan Commercial Native Chickens Ascertained by Microsatellite Markers

et al. 2013

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Taiwan commercial native chickens have played a vital role in the domestic market due to Taiwanese traditional cooking style and culture. This study investigated the genetic characterization and population structure of 10 Taiwan commercial native chicken populations, together with two exotic breeds and one population of red jungle fowl, using 22 microsatellites. The results showed that Taiwan commercial native chickens generally harbored high genetic diversity but lower than that of red jungle fowl population in terms of number of alleles and gene diversity. The neighbor-joining tree revealed a poor resolution with only two branches showing bootstrap values above 70%. Based on Bayesian clustering approach, thirteen populations were inferred into eight distinct clusters namely Game bird, B strain, L2 strain, White Broiler and White Leghorn with an average proportion of membership higher than 0.90 and the values higher than 0.85 for red jungle fowl, Hakka chicken and Hakka strain while four remaining breeds were closely related together. The population structure showed Taiwan commercial native chickens are more admixed, in contrast to occidental highly productive breeds. The high genetic variation within breed as shown in the results of the analysis of molecular variance, facilitated by gene exchanges, did not allow discriminating in an efficient way. This suggests that the genetic pool of Taiwan commercial native chickens is well distributed among breeds and therefore there is a good potential for adaptation to new environmental conditions or markets. Some populations, namely L2 strain and B strain showed very high inbreeding coefficient and thus could be considered at risks. Therefore, management needs to be taken into account for the populations, to prevent inbreeding depression and maintain genetic diversity.Key words: Bayesian clustering approach, genetic diversity, microsatellite, population structure, Taiwan J. Poult. Sci., 50: 290-299, 2013 Introduction Chicken meat and egg play an important role in Chinese traditional cuisine in Taiwan. There was 40 to 50% chicken meat from imported exotic White broiler (USDA, 2006) while the remaining meat production comes from Taiwan commercial native chickens (TCOM). For instance, Red feathered and Black feathered chickens produce about 80% of TCOM and the remaining 20% comes from commercial slow-growing local breeds such as Silkies, Naked Neck, Game bird, Hakka chicken, Golden chicken and Classical chicken (Lee, 2006). Taiwan native chickens were frequently crossed with imported exotic breeds (broiler-type rooster) to produce TCOM and selected by local farmers for high body weight, feed efficiency and their ability to adapt to local conditions since 1960s (Lee, 2006).Genetic diversity of chicken genetic resources provides the basis for genetic improvement in order to increase productivity but also to adapt domestic populations to changes in production environments as well as in markets, management practices, and disease challenges Boettcher et al., 2010). Moreove...

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Absence of population substructuring in Zimbabwe chicken ecotypes inferred using microsatellite analysis

Cited by 100 publications

References 26 publications

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

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

Assessing the genetic diversity of five Tanzanian chicken ecotypes using molecular tools

Genetic Characterization of Taiwan Commercial Native Chickens Ascertained by Microsatellite Markers

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