ACTA VETERINARIA ET ZOOTECHNICA SINICA ›› 2015, Vol. 46 ›› Issue (3): 467-475.doi: 10.11843/j.issn.0366-6964.2015.03.017

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Principal Component Analysis for Establishing Evaluation Model of E.tenella Resistance in Chickens

DAI Guo-jun1,2#* ,SUN Ming-ming1# ,ZHANG Jing-jing1,LIN Yu-xin1,ZHANG Gen-xi1,2,XIE Kai-zhou 1,2,WANG Jin-yu1,2 ,SONG Ye1,YU Ya-bo3   

  1. (1.College of Animal Science and Technology,Yangzhou University,Yangzhou 225009,China;2.Key Lab for Animal Genetics,Breeding and Reproduction and Molecular Design of Jiangsu Province,Yangzhou 225009,China;3.Jiangsu Jinghai Poultry Industry Group Co.,Ltd,Nantong 226103,China)
  • Received:2014-07-02 Online:2015-03-23 Published:2015-03-23

Abstract:

 In order to establish living measurable evaluation model for E.tenella resistance and to explore new coccidiosis-resistance breeding method for chickens,Jinghai Yellow Chickens were selected to compare the difference of coccidiosis resistance parameters got from related studies between infected and control group,valid parameters were selected to perform principal component analysis,optimizing comprehensive evaluation model was selected by the significant correlating coefficients between coccidiosis resistance parameters and principal component functions.There were 6 parameters which had significant difference between infected and control group among the 14 living measurable parameters,they were weight gain in the 3rd-5th day post infection,the concentration of CAT,GSH-PX,MDA,SOD and IFN-γ at the 8th day post infection.Six principal components and one accumulated contribution up to 80% comprehensive resistance evaluating models were established by principal component analysis.The results of correlation analysis showed that the first principal component model were significant or highly significantly related to 9 resistance parameters (P<0.01 or P<0.05),especially to caecum lesion (P<0.01),the rest of each principal component models were only related to 2-3 parameters (P<0.01 or P<0.05),and not to caecum lesion (P>0.05).The distribution of the first principal component model was skewed positively,the order of selection index value calculated from the optimizing model were in accordance with caecum lesion performance.The optimizing model of fi1=-0.64Zxi1+0.31Zxi2+0.80Zxi3-0.05Zxi4-0.08Zxi5+0.59Zxi6 might be the best coccidiosis resistance comprehensive selection index model and could be used for chicken resistance selection breeding.

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