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《Chinese Journal of Rice Science》 2017-01
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Correlation Analysis and QTL Mapping for Starch RVA Profile Properties and Amylose and Protein Contents in Rice

ZHANG Jie;ZHENG Leina;CAI Yue;YOU Xiaoman;KONG Fei;WANG Guoxiang;YAN Haigang;JIN Jie;WANG Liang;ZHANG Wenwei;JIANG Ling;State Key Laboratory of Crop Genetics and Germplasm Enhancement,Research Center of Jiangsu Plant Gene Engineering,Nanjing Agricultural University;  
【Objective】The detection of new quantitative trait loci(QTLs) and the correlation analysis between different rice quality traits are used to dissect the genetic mechanism underlying rice quality and to breed high-quality rice varieties.【Method】The backcross inbred lines(BILs) of Sasanishiki × Habataki planted in two environments were used to detect additive QTLs for amylose content,protein content and RVA profiles.【Result】Phenotypic analysis showed the protein content of Habataki was higher than that of Sasanishiki while other rice quality parameters of Sasanishiki were generally higher than those of Habataki except the setback viscosity.A total of 42 additive QTLs were detected,and ten of them could be repeatedly detected in two environments,including q PC8,q AC4,q AC10,q PKV2,q PKV7,q HPV7,q CPV1,q BDV4,q BDV7 and q SBV7.Of them,q CPV1,q BDV4,q PKV7,q HPV7 and q AC10 had not been reported previously.Moreover,the environmental stability of 10 QTLs,was further confirmed across two different environments by chromosome segment substitution lines(CSSLs).【Conclusion】Significant correlations were observed between RVA profiles and protein or amylose contents,and many QTLs affecting different quality traits were co-localized.
【Fund】: 国家转基因生物新品种培育重大专项(2014ZX08001006);; 国家自然科学基金资助项目(31301296);; 国家科技支撑计划资助项目(2013BAD01B02-16);; 江苏省科技支撑计划资助项目(BE2014394)
【CateGory Index】: S511
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