Artificial insemination field data on the use of sexed and conventional semen in nulliparous Holstein heifers.
This study investigated conception rates and other reproductive outcomes achieved with artificial insemination (AI) of nulliparous Holstein heifers using sexed and conventional semen in a commercial Australian dairy herd in central western New South Wales from January 2004 to April 2009. Retrospective data from on-farm records of 9,870 inseminations of 4,456 heifers were analyzed using several mixed models to assess the effect of temperature and humidity surrounding breeding, insemination sire, artificial insemination technician, service number, and heifer weight and age at breeding on reproductive traits (conception rates, sex ratios, gestation length, and abortion and stillbirth rates). Semen was used from 15 sexed sires and 41 unsexed sires. Sexed semen was primarily used at first and second service. Empirical conception rates of 31.6 and 39.6% were achieved for sexed and unsexed semen respectively, whereas model-based predictions were lower, at 21.3 and 32.1%. Conception rates were significantly affected by insemination sire, sex-sorting, heifer age at breeding, temperature and humidity surrounding breeding, service number, and AI technician. Sexed semen yielded 86% heifers, compared with 48% for conventional semen. Significant predictors of calf sex included semen sexing, gestation length, and insemination sire. Twinning rate was high, at 3.6% for both semen types, and gestation length and heifer weight at breeding were significant predictors of twinning. Abortion rates for sexed and unsexed conceptions were similar at 6.1 and 6.5%, respectively, and were affected by heifer age at breeding. Stillbirth rate was affected by calf sex, twinning, gestation length, and AI technician; semen sorting, age at breeding, and temperature and humidity were marginally significant predictors. No abnormalities were observed in the development of offspring, except for a marginally higher stillbirth rate for sexed calves, a finding that needs further investigation. Many variables influence the breeding outcomes associated with the application of sex-sorted sperm on commercial dairy farms. Recognition and management of these variables will increase the economic return from the investment in sex-sorted sperm.
University of Sydney, Australia. abur9715@uni.sydney.edu.au
A A
AA
Healy
J K
JK
House
P C
PC
Thomson
D000367:Age Factors; D000818:Animals; D002417:Cattle; D003612:Dairying / Q000379:methods; D005260:Female; D005306:Fertilization; D006799:Housing, Animal; D007315:Insemination, Artificial / Q000379:methods / Q000706:statistics & numerical data / Q000662:veterinary*; D008297:Male; D011247:Pregnancy; D011272:Pregnancy, Multiple / Q000706:statistics & numerical data; D012661:Semen; D012743:Sex Preselection / Q000379:methods / Q000706:statistics & numerical data / Q000662:veterinary*