ACTA VETERINARIA ET ZOOTECHNICA SINICA ›› 2016, Vol. 47 ›› Issue (8): 1727-1732.doi: doi: 10.11843/j.issn.0366-6964.2016.08.026

Previous Articles     Next Articles

Correlation between Sperm Kinetics Parameters and Fertility of Holstein Sex-sorted Sperm in vitro and in vivo

HU Ting-xi 1,2,LIU Xia 1,SUN Wei-jun 1,HAO Hai-sheng 1,ZHAO Xue-ming 1,WANG Zong-li 2,DU Wei-hua 1* ,ZHU Hua-bin1   

  1. (1.Institute of Animal Science,Chinese Academy of Agricultural Sciences,Beijing 100193,China;
    2.College of Animal Science and Technology,Gansu Agricultural University,Lanzhou 730070,China)
  • Received:2016-03-14 Online:2016-08-23 Published:2016-08-23
  • Supported by:
     

Abstract:

This study was performed to predict fertility of bull sperm during in vitro fertilization (IVF) and artificial insemination (AI) according to its kinetics parameters.The sex-sorted sperm from 3 Holstein bulls were estimated with computer assisted sperm analysis system (CASA).Moreover,the IVF and AI with those sperm were carried out.The rate of fertilization,embryo cleavage,blastocyst formation and TCN,ICM/TCN of blastocyst obtained by IVF,conception rate during AI were counted and analyzed.Results showed that VAP (102.82 vs 91.55 vs 80.67),VCL (201.75 vs 180.23 vs 168.58),ALH (9.33 vs 8.31 vs 7.42) of sperm were significantly different among bull A,B,C (P<0.05).Additionally above 3 parameters were positively correlated with the fertilization rate,cleavage rate of IVF embryos.Sorted sperm from bull A had a significantly higher BCF (20.36 vs 18.05 & 16.23) and LIN (46.06 vs 42.00 & 40.81) than that from bull B,C (P<0.05).Also,the 2 parameters were positively correlated with blastocyst rate of IVF embryos.Vitality (29.00 vs 38.00 & 80.62),VSL (68.20 vs 36.50 & 79.00) of sperm from bull C were significantly lower than that from bull A and B (P<0.05),and had a positive correlation with ICM/TCN of blastocysts.However there was no correlation between the kinetics parameters and conception rate in AI.Conclusively,the fertility of sperm in IVF can be predicted by the kinetics analysis,but that prediction in AI requires further research.

CLC Number: