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Articles by Y. Yang
Total Records ( 3 ) for Y. Yang
  O. Olowofeso , J.Y. Wang , G.J. Dai1 , Y. Yang , D.M. Mekki and H.H. Musa
  A total of 240 genomic DNAs were isolated from the four Haimen chicken populations: Rugao, Jiangchun, Wan-Nan and Cshiqishi, through a saturated salt procedure. The samples were used in a polymerase chain reaction (PCR) with 15 microsatellite markers. Amplified PCR-products with the markers were separated on a 12% polyacrylamide gel. Genetic parameters measured included allele number within locus per population, mean allele number across populations, mean allele number among loci for each population, effective allele number for each locus, mean across populations and among loci effective number of alleles (). Polymorphism information content (PIC) per locus and for all loci obtained as well as the average heterozygosity (H) among loci in the populations. The mean allele number for all loci ranged between 5.73±0.85 (Cshiqishi) to 6.00±0.74 (Rugao) and 6.00±0.84 (Jiangchun) with across populations for all loci equals 5.88±0.06; while (H) ranged from 0.6486±0.06 (Wan-Nan) to 0.7017±0.03 (Jiangchun) among loci and across populations, (H) was 0.6828±0.01. The () ranged from 3.96±0.60 (Wan-Nan) to 4.11±0.47 (Rugao); and () have values between 0.6068±0.06 (Wan-Nan) to 0.6509±0.04 (Jiangchun). The average heterozygosity among loci in each population was used further to obtained the cumulative power of discrimination (CPD) and was 99%. Angular genetic distances (DA) calculated ranged between 0.1691 (Rugao vs Wan-Nan) to 0.3372 (Rugao vs Cshiqishi). Dendrogram developed linked Rugao and Jiangchun as closely related, Wan-Nan been intermediate and Cshiqishi distantly related. It was concluded that the markers were suitable for the measurement of all genetic parameters of Haimen chicken populations.
  Y. Yang , D.M. Mekki , S.J. Lv , L.Y. Wang , J.H. Yu and J.Y. Wang
  The three nonlinear curves of Logistic, Gompertz and Bertalanffy model were used to fit the growth model in Jinghai Yellow chicken of different sex. The results indicated that the three growth models were well fitted the prediction of growth parameters. Females reached inflexion point at earlier age than males; however, their body weight was significantly lighter than males. Inflexion body weight were 1098.99, 1161.86 and 1392.91 g for males and 824.29, 827.99 and 918.67 for female estimated from Logistic, Gompertz and Bertalanffy models, respectively. Fitting degrees (R2) for the three models were higher than 99%. The lower X2 values estimated were 9.22 and 7.43 from Bertalanffy model for males and females respectively indicated that, Bertalanffy model was the best model fitted growth prediction parameters of Jinghai Yellow chicken.
  Y. Yang , D.M. Mekki , S.J. Lv , J.H. Yu , L.Y. Wang , J.Y. Wang , K.Z. Xie and G.J. Dai
  Canonical correlation analysis of three character sets including 23 variables of Jinghai yellow chicken was performed. Strong significant correlations were obtained between body weight and body measurement characters (0.9153), body weight and carcass characteristics (0.9618) and body measurement and carcass characteristics (0.9618). The coefficients represented 98.46, 98.96 and 92.82% of the total correlation between the two character sets, respectively. Canonical correlation analysis had been able to identify the relevant variables of the three character sets of Jinghai yellow chicken and it would be an appropriate method of analysis to find optimally correlated patterns of chicken body weight, body measurement and carcass characters.
 
 
 
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