The costs of herds management and rearing are increased by increment of expenses of unsuccessful frequent artificial insemination (AI), extended length of the days open (DO) as well as culling and replacement of those cows that can’t conceive (Ahmadi and Dehghan, 2007). The repeat breeding causes great economic losses for dairy farmers. Repeat breeding (RB), defined as a cow fail to conceive from 3 or 4 regularly spaced services in the absence of detectable abnormalities, is a costly problem for the dairy producer. The economic loss is due to delay in conception, that maintain the animals in a non-productive state for long period, increases number of services per conception, prolonged inter-calving intervals and increased culling rates (Bartlett et al., 1986 Lafi and Keneene, 1992). Among reproductive disorders, repeat breeding syndrome may play a vital role in delayed conception in Bangladesh resulting in increased inter calving interval. Reproductive disorders have also been responsible for remarkable economic loss to the farmers and dairy industry in Bangladesh (Mia and Islam, 1967). Poor conception rate and delayed conception have been identified as major constraints of profitable dairy farming in Bangladesh (Alam and Gosh, 1988 Shamsuddin et al., 2001). Economy of dairy farming largely depends on good conception rates after insemination. Reproductive efficiency is essential for profitable dairy farms (Nebel and Jobst, 1998). Keywords : Age and Parity Cows Genotype Prevalence Repeat Breeding (Rb) Genotypes had highly significant (p0.05) influenced by the body condition score of cows. The incidence of repeat breeding was highest in L×F (19.62%) and lowest in local cows (4.10%). The genotypes, age, parity and body condition of cows influenced the prevalence of repeat breeding in cows. Our findings revealed that, the overall prevalence of repeat breeding in cows was 15.2%.
#Iaea tecdoc 1169 software#
The raw data were then sorted computed, coded and statistically analyzed with the help of SPSS (software 17.0 version) statistics software package. A total of 500 dairy cows were surveyed to find out the prevalence of repeat breeding in relation to genotypes, age parity and body condition of cows. Data were collected by interviewing the owner of the cows using questionnaires from selected private dairy farms and Rajshahi Dairy and Cattle Improvement Farm (RDCIF) at Rajshahi district, Bangladesh during the period from January to December 2016. The objectives of the study were to determine the prevalence of repeat breeding and its associated risk factors in cows such as genotypes, age, parity and body condition at Rajshahi district.
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