The purpose of this study was to determine the effect of the population of dairy cows on milk production of dairy cows in Indonesia for the period 2009-2019 and government policies to realize the white revolution in I...The purpose of this study was to determine the effect of the population of dairy cows on milk production of dairy cows in Indonesia for the period 2009-2019 and government policies to realize the white revolution in Indonesia.The research method used is a descriptive analysis approach regarding the development of the dairy cow population and its relationship to dairy cow’s milk production in Indonesia.The type of data used is annual time series secondary data starting from 2009-2019.Based on the results of the regression,the coefficient value was 0.6677752,indicating that an increase in the population of dairy cows by 1 unit will increase the production of dairy cows in Indonesia by 0.6677752 units.The increase in dairy cow’s milk production is relatively low due to the lack of understanding of local breeders regarding dairy cow rearing and feeding to provide adequate nutrition for cows.Government policies are to realize the white revolution by paying attention to the provision of fresh milk for poor children,counseling local farmers,increasing the economic value of cow waste,and making cooperatives as a place for dairy farmers.展开更多
Background: Cotton fiber yield is a complex trait,which can be influenced by multiple agronomic traits.Unravelling the genetic basis of cotton fiber yield-related traits contributes to genetic improvement of cotton.Re...Background: Cotton fiber yield is a complex trait,which can be influenced by multiple agronomic traits.Unravelling the genetic basis of cotton fiber yield-related traits contributes to genetic improvement of cotton.Results: In this study,503 upland cotton varieties covering the four breeding stages(BS1–BS4,1911–2011)in China were used for association mapping and domestication analysis.One hundred and forty SSR markers significantly associated with ten fiber yield-related traits were identified,among which,29 markers showed an increasing trend contribution to cotton yield-related traits from BS1 to BS4,and 26 markers showed decreased trend effect.Four favorable alleles of 9 major loci(R^(2)≥3)were strongly selected during the breeding stages,and the candidate genes of the four strongly selected alleles were predicated according to the gene function annotation and tissue expression data.Conclusions :The study not only uncovers the genetic basis of 10 cotton yield-related traits but also provides genetic evidence for cotton improvement during the cotton breeding process in China.展开更多
文摘The purpose of this study was to determine the effect of the population of dairy cows on milk production of dairy cows in Indonesia for the period 2009-2019 and government policies to realize the white revolution in Indonesia.The research method used is a descriptive analysis approach regarding the development of the dairy cow population and its relationship to dairy cow’s milk production in Indonesia.The type of data used is annual time series secondary data starting from 2009-2019.Based on the results of the regression,the coefficient value was 0.6677752,indicating that an increase in the population of dairy cows by 1 unit will increase the production of dairy cows in Indonesia by 0.6677752 units.The increase in dairy cow’s milk production is relatively low due to the lack of understanding of local breeders regarding dairy cow rearing and feeding to provide adequate nutrition for cows.Government policies are to realize the white revolution by paying attention to the provision of fresh milk for poor children,counseling local farmers,increasing the economic value of cow waste,and making cooperatives as a place for dairy farmers.
基金This work was supported by the National Natural Science Foundation of China(31760402)Young and Middle-aged Science and Technology Leading Talents of Xinjiang Production and Construction Corps(2019CB027).
文摘Background: Cotton fiber yield is a complex trait,which can be influenced by multiple agronomic traits.Unravelling the genetic basis of cotton fiber yield-related traits contributes to genetic improvement of cotton.Results: In this study,503 upland cotton varieties covering the four breeding stages(BS1–BS4,1911–2011)in China were used for association mapping and domestication analysis.One hundred and forty SSR markers significantly associated with ten fiber yield-related traits were identified,among which,29 markers showed an increasing trend contribution to cotton yield-related traits from BS1 to BS4,and 26 markers showed decreased trend effect.Four favorable alleles of 9 major loci(R^(2)≥3)were strongly selected during the breeding stages,and the candidate genes of the four strongly selected alleles were predicated according to the gene function annotation and tissue expression data.Conclusions :The study not only uncovers the genetic basis of 10 cotton yield-related traits but also provides genetic evidence for cotton improvement during the cotton breeding process in China.
