Connectedness rating among commercial pig breeding herds in Korea
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This study aims to estimate the connectedness rating (CR) of Korean swine breeding herds. Using 104,380 performance and 83,200 reproduction records from three swine breeds (Yorkshire, Landrace and Duroc), the CR was estimated for two traits: average daily gain (ADG) and number born alive (NBA) in eight breeding herds in the Republic of Korea (hereafter, Korea). The average CR for ADG in the Yorkshire breed ranges from 1.32% to 28.5% depending on the farm. The average CR for NBA in the Yorkshire herd ranges from 0% to 12.79%. A total of 60% of Yorkshire and Duroc herds satisfied the preconditions suggested for genetic evaluation among the herds. The precondition for the genetic evaluation of CR for ADG, as a productive trait, was higher than 3% and that of NBA, as a reproductive trait, was higher than 1.5%. The ADG in the Yorkshire herds showed the highest average CR. However, the average CR of ADG in the Landrace herds was lower than the criterion of the precondition. The prediction error variance of the difference (PEVD) was employed to assess the validation of the CR, as PEVDs exhibit fluctuations that are coupled with the CR across the herds. A certain degree of connectedness is essential to estimate breeding value comparisons between pig herds. This study suggests that it is possible to evaluate the genetic performance together for ADG and NBA in the Yorkshire herds since the preconditions were satisfied for these four herds. It is also possible to perform a joint genetic analysis of the ADG records of all Duroc herds since the preconditions were also satisfied. This study provides new insight into understanding the genetic connectedness of Korean pig breeding herds. CR could be utilized to accelerate the genetic progress of Korean pig breeding herds.
Abstract
This study aims to estimate the connectedness rating (CR) of Korean swine breeding herds. Using 104,380 performance and 83,200 reproduction records from three swine breeds (Yorkshire, Landrace and Duroc), the CR was estimated for two traits: average daily gain (ADG) and number born alive (NBA) in eight breeding herds in the Republic of Korea (hereafter, Korea). The average CR for ADG in the Yorkshire breed ranges from 1.32% to 28.5% depending on the farm. The average CR for NBA in the Yorkshire herd ranges from 0% to 12.79%. A total of 60% of Yorkshire and Duroc herds satisfied the preconditions suggested for genetic evaluation among the herds. The precondition for the genetic evaluation of CR for ADG, as a productive trait, was higher than 3% and that of NBA, as a reproductive trait, was higher than 1.5%. The ADG in the Yorkshire herds showed the highest average CR. However, the average CR of ADG in the Landrace herds was lower than the criterion of the precondition. The prediction error variance of the difference (PEVD) was employed to assess the validation of the CR, as PEVDs exhibit fluctuations that are coupled with the CR across the herds. A certain degree of connectedness is essential to estimate breeding value comparisons between pig herds. This study suggests that it is possible to evaluate the genetic performance together for ADG and NBA in the Yorkshire herds since the preconditions were satisfied for these four herds. It is also possible to perform a joint genetic analysis of the ADG records of all Duroc herds since the preconditions were also satisfied. This study provides new insight into understanding the genetic connectedness of Korean pig breeding herds. CR could be utilized to accelerate the genetic progress of Korean pig breeding herds.
참고문헌 (11)
- Soga N, "The effect of connectedness on the bias and accuracy for prediction of breeding value in swine herds", Master, pp.2009
- Škorput D, "Evaluation of connectedness between the management units of landrace breed of pigs in croatia", Acta Agric Slov, 3, pp.182~ (2012)
- Foulley JL, "A criterion for measuring the degree of connectedness in linear models of genetic evaluation", Genet Sel Evol, 24, pp.315~330 (1992)[DOI]
- Kennedy BW, "Considerations on genetic connectedness between management units under an animal model", J Anim Sci, 71, pp.2341~2352 (1993)[DOI]
- Laloë D, "Considerations on measures of precision and connectedness in mixed linear models of genetic evaluation", Genet Sel Evol, 28, pp.359~378 (1996)[DOI]
- Estimation of the degree of connectedness between herds or management groups in the Canadian swine population, "Mathur PK", Canadian Centre for Swine Improvement, ~ (1998)
- Soga N, "Comparison of connectedness measures and changes in connectedness of the U.S. Duroc population", Proceedings of the 9th World Congress on Genetics Applied to Livestock Production (2010)
- Sun CY, "Evaluation of connectedness between herds for three pig breeds in China", Animal, 3, pp.482~485 (2009)[DOI]
- Mathur PK, "Measuring connectedness: concept and application to a large industry breeding program", Proceedings of the 7th World Congress on Genetics Applied to Livestock Production (2002)
- Gilmour AR, "ASReml user guide release 4.1structural specification" (2015), VSN International
- Mathur PK, "Importance of ‘connectedness’ between herds for effective across herd genetic evaluation", J South China Agric Univ, 26, pp.61~68 (2005)