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Statistical Method for Block in Replication Design and Its SAS Program 被引量:1
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作者 Ning Hai-long Wang Jia-jing +8 位作者 Hu Bo Ge Tong Shan Da-rui Dong Sheng Shi Da-liang Xue Hong Yuan Ming Dong Quan-zhong Li Wen-xia 《Journal of Northeast Agricultural University(English Edition)》 CAS 2023年第1期37-43,共7页
Large-scale genetic population used for genetic breeding researches covers a large area in the field experiment,and the effect of local control would be gradually weakened.The block in replication(BIR)design is suitab... Large-scale genetic population used for genetic breeding researches covers a large area in the field experiment,and the effect of local control would be gradually weakened.The block in replication(BIR)design is suitable for large population,which is applied to the field experiment of genetic population.The statistical methods of analysis of variance(ANOVA)and heritability estimation in single and multiple environments were derived and implemented using the statistical analysis system(SAS)program for the analysis of BIR.As a work example,a comparison of statistical analysis between BIR design and the completely random block(CRB)design were conducted for the protein content from a panel containing 455 soybean germplasms.The results indicated the different estimates of average heritability in multiple environments.The research results provided technical support for the application of BIR design in genetics and breeding studies. 展开更多
关键词 block in replication(BIR) multi-environment joint analysis analysis of variance HERITABILITY SAS program
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