表型组学在水稻研究中的应用

[1] 作物表型组数据库研究进展及展望 [J]. 中国农业信息, 2018, 30 (05) : 13 - 23

[2] 水稻表型组学研究概况和展望 [J]. 生命科学, 2016, 28 (10) : 1129 - 1137

[3] 基于高光谱成像和主成分分析的水稻茎叶分割 [J]. 激光生物学报, 2015, 24 (01) : 31 - 37

[4] 论植物表型组和植物表型组学的概念与范畴 [J]. 作物学报, 2015, 41 (02) : 175 - 186

[5] 表型组学 [J]. 分子植物育种, 2009, 7 (03) : 426 - 426

[6] Developing a system for three-dimensional quantification of root traits of rice seedlings[J] . Tsung-Han Han,Yan-Fu Kuo. Computers and Electronics in Agriculture . 2018

[7] Assessing the correlation of genotypic and phenotypic responses of indica rice varieties under drought stress [J]. PLANT PHYSIOLOGY AND BIOCHEMISTRY, 2018, 127 : 343 - 354

[8] Quantitative monitoring of sucrose, reducing sugar and total sugar dynamics for phenotyping of water-deficit stress tolerance in rice through spectroscopy and chemometrics[J] . Bappa Das,Rabi N. Sahoo,Sourabh Pargal,Gopal Krishna,Rakesh Verma,Viswanathan Chinnusamy,Vinay K. Sehgal,Vinod K. Gupta,Sushanta K. Dash,Padmini Swain. Spectrochimica Acta Part A: Molecular and Biomole . 2018

[9] Can exploiting natural genetic variation in leaf photosynthesis contribute to increasing rice productivity? A simulation analysis [J]. PLANT CELL AND ENVIRONMENT, 2014, 37 (01) : 22 - 34

[10] Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies[J] . Wanneng Yang,Lingfeng Duan,Guoxing Chen,Lizhong Xiong,Qian Liu. Current Opinion in Plant Biology . 2013 (2)

[1] 作物表型组数据库研究进展及展望 [J]. 中国农业信息, 2018, 30 (05) : 13 - 23

[2] 水稻表型组学研究概况和展望 [J]. 生命科学, 2016, 28 (10) : 1129 - 1137

[3] 基于高光谱成像和主成分分析的水稻茎叶分割 [J]. 激光生物学报, 2015, 24 (01) : 31 - 37

[4] 论植物表型组和植物表型组学的概念与范畴 [J]. 作物学报, 2015, 41 (02) : 175 - 186

[5] 表型组学 [J]. 分子植物育种, 2009, 7 (03) : 426 - 426

[6] Developing a system for three-dimensional quantification of root traits of rice seedlings[J] . Tsung-Han Han,Yan-Fu Kuo. Computers and Electronics in Agriculture . 2018

[7] Assessing the correlation of genotypic and phenotypic responses of indica rice varieties under drought stress [J]. PLANT PHYSIOLOGY AND BIOCHEMISTRY, 2018, 127 : 343 - 354

[8] Quantitative monitoring of sucrose, reducing sugar and total sugar dynamics for phenotyping of water-deficit stress tolerance in rice through spectroscopy and chemometrics[J] . Bappa Das,Rabi N. Sahoo,Sourabh Pargal,Gopal Krishna,Rakesh Verma,Viswanathan Chinnusamy,Vinay K. Sehgal,Vinod K. Gupta,Sushanta K. Dash,Padmini Swain. Spectrochimica Acta Part A: Molecular and Biomole . 2018

[9] Can exploiting natural genetic variation in leaf photosynthesis contribute to increasing rice productivity? A simulation analysis [J]. PLANT CELL AND ENVIRONMENT, 2014, 37 (01) : 22 - 34

[10] Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies[J] . Wanneng Yang,Lingfeng Duan,Guoxing Chen,Lizhong Xiong,Qian Liu. Current Opinion in Plant Biology . 2013 (2)