Association of DRB 3 EXON 2 Alleles with Productive and Reproductive Performance of Crossbred Cattle

Bovine leukocyte antigen (BoLA) is essentially responsible for disease resistance in cattle; however there is possibility of its association with other economically important traits. BoLA has been studied extensively for DRB3 gene polymorphism in zebu as well as exotic cattle and their association with several disease resistance traits. In this report we tried to study the association of DRB3 polymorphism in crossbred cattle with milk characteristics and reproduction status. A total of 11 alleles were found in the population that had more than 3% frequency. Least squares mean for 305 days milk yield in crossbred cows was 2412.79±68 kg and average daily milk protein yield was 2.98±0.02 g. In the study we could not see statistically significant association of DRB3 polymorphism with the milk yield or milk protein content of the crossbred cattle, indicating they are independent of each other. For reproductive status of cattle, we could clearly see the biased distribution of alleles for the repeat or normal breeders. Alleles DRB3*0801, *0701, *2801 and *1505 were exclusive to normal breeder category. Similarly alleles *1101, *0801, *1801 and *1601 had higher frequency in normal breeder category. There was no allele exclusive to repeat breeder category, however, alleles *3201, *0201 and *1103 had tendency to fall in repeat breeder category

Bayesian Statistics: Concepts and Applications in Animal Breeding – A Review

Statistics uses two major approaches- conventional (or frequentist) and Bayesian approach. Bayesian approach provides a complete paradigm for both statistical inference and decision making under uncertainty. Bayesian methods solve many of the difficulties faced by conventional statistical methods, and extend the applicability of statistical methods. It exploits the use of probabilistic models to formulate scientific problems. To use Bayesian statistics, there is computational difficulty and secondly, Bayesian methods require specifying prior probability distributions. Markov Chain Monte-Carlo (MCMC) methods were applied to overcome the computational difficulty, and interest in Bayesian methods was renewed. In Bayesian statistics, Bayesian structural equation model (SEM) is used. It provides a powerful and flexible approach for studying quantitative traits for wide spectrum problems and thus it has no operational difficulties, with the exception of some complex cases. In this method, the problems are solved at ease, and the statisticians feel it comfortable with the particular way of expressing the results and employing the software available to analyze a large variety of problems

Association of DRB 3 EXON 2 Alleles with Productive and Reproductive Performance of Crossbred Cattle

Bovine leukocyte antigen (BoLA) is essentially responsible for disease resistance in cattle; however there is possibility of its association with other economically important traits. BoLA has been studied extensively for DRB3 gene polymorphism in zebu as well as exotic cattle and their association with several disease resistance traits. In this report we tried to study the association of DRB3 polymorphism in crossbred cattle with milk characteristics and reproduction status. A total of 11 alleles were found in the population that had more than 3% frequency. Least squares mean for 305 days milk yield in crossbred cows was 2412.79±68 kg and average daily milk protein yield was 2.98±0.02 g. In the study we could not see statistically significant association of DRB3 polymorphism with the milk yield or milk protein content of the crossbred cattle, indicating they are independent of each other. For reproductive status of cattle, we could clearly see the biased distribution of alleles for the repeat or normal breeders. Alleles DRB3*0801, *0701, *2801 and *1505 were exclusive to normal breeder category. Similarly alleles *1101, *0801, *1801 and *1601 had higher frequency in normal breeder category. There was no allele exclusive to repeat breeder category, however, alleles *3201, *0201 and *1103 had tendency to fall in repeat breeder category

Not Available

Not AvailableBackground: In sheep, Escherichia coli infection can occur as asymptomatic entity to septicaemic episode. Chiefly, it causes heavy mortality in lambs and devastates the farm economy. With an objective of documenting the salient epidemiological and clinico-pathological observations in this naturally occurred outbreak of septicaemic colibacillosis, this communication is made herewith. Methods: In February 2019, sudden death in lambs was observed in three flocks of sheep. Carcasses were subjected for necropsy and histopathological examination. Swab samples from heart, abomasum, intestines, liver and lung were examined for bacteriological and molecular confirmation. Result: The mean (±SE) age of lambs that were affected was 11.00 ±0.49 days (n=404). Lambs of native Malpura breed (87.5%) and other two crossbred sheep were affected. Overall mortality of lambs was 23.76%. Gross pathological observations were pulmonary edema, ecchymotic lesions in lungs, congestion in kidney and liver and presence soil-mixed ingesta in abomasum. From the morbid materials including stomach and intestinal swabs, 45 E. coli isolates were identified and they were also confirmed on polymerase chain reaction (PCR). Consequently, virulence genes for shiga toxin (stx2) and intimin (eae) were identified from the isolates. Although antibiotics were administered, only probiotics could control the new infection rate.Not Availabl

Bayesian Statistics: Concepts and Applications in Animal Breeding – A Review

Statistics uses two major approaches- conventional (or frequentist) and Bayesian approach. Bayesian approach provides a complete paradigm for both statistical inference and decision making under uncertainty. Bayesian methods solve many of the difficulties faced by conventional statistical methods, and extend the applicability of statistical methods. It exploits the use of probabilistic models to formulate scientific problems. To use Bayesian statistics, there is computational difficulty and secondly, Bayesian methods require specifying prior probability distributions. Markov Chain Monte-Carlo (MCMC) methods were applied to overcome the computational difficulty, and interest in Bayesian methods was renewed. In Bayesian statistics, Bayesian structural equation model (SEM) is used. It provides a powerful and flexible approach for studying quantitative traits for wide spectrum problems and thus it has no operational difficulties, with the exception of some complex cases. In this method, the problems are solved at ease, and the statisticians feel it comfortable with the particular way of expressing the results and employing the software available to analyze a large variety of problems