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Qiaojun Lou

Showing results (11-20 of 21) with videos related to

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Frontiers in Bioscience (Landmark Edition)|May 31, 2022
GpemDB: A Scalable Database Architecture with the Multi-omics Entity-relationship Model to Integrate Heterogeneous Big-data for Precise Crop BreedingLiang Gong, Qiaojun Lou, Chenrui Yu, et al.
Scientific Reports|November 18, 2016
Genetic determination of the enhanced drought resistance of rice maintainer HuHan2B by pedigree breedingHaibin Wei, Fangjun Feng, Qiaojun Lou, et al.
Hereditas|July 22, 2014
Dissection of additive, epistatic effect and QTL × environment interaction of quantitative trait loci for sheath blight resistance in riceYi Liu, Liang Chen, Dong Fu, et al.
Journal of Agricultural and Food Chemistry|July 26, 2011
Profiling and association mapping of grain metabolites in a subset of the core collection of Chinese rice germplasm (Oryza sativa L.)Qiaojun Lou, Chenfei Ma, Weiwei Wen, et al.
Proteomics|August 6, 2011
Genetic, proteomic and metabolic analysis of the regulation of energy storage in rice seedlings in response to droughtLiebo Shu, Qiaojun Lou, Chenfei Ma, et al.
Plant Science : an International Journal of Experimental Plant Biology|January 19, 2025
Stress-responsive plasma membrane H<sup>+</sup>-ATPases regulate deep rooting in riceDi Wang, Kai Xu, Shoujun Chen, et al.
Frontiers in Plant Science|August 12, 2017
Root Transcriptomic Analysis Revealing the Importance of Energy Metabolism to the Development of Deep Roots in Rice (<i>Oryza sativa</i> L.)Qiaojun Lou, Liang Chen, Hanwei Mei, et al.
Molecular Plant|December 26, 2018
Bi-directional Selection in Upland Rice Leads to Its Adaptive Differentiation from Lowland Rice in Drought Resistance and ProductivityHui Xia, Zhi Luo, Jie Xiong, et al.
Plants (Basel, Switzerland)|July 29, 2023
Identification of Genetic Loci for Rice Seedling Mesocotyl Elongation in Both Natural and Artificial Segregating PopulationsFangjun Feng, Xiaosong Ma, Ming Yan, et al.
The New Phytologist|June 14, 2020
SeedGerm: a cost-effective phenotyping platform for automated seed imaging and machine-learning based phenotypic analysis of crop seed germinationJoshua Colmer, Carmel M O'Neill, Rachel Wells, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Frontiers in Bioscience (Landmark Edition)|May 31, 2022
GpemDB: A Scalable Database Architecture with the Multi-omics Entity-relationship Model to Integrate Heterogeneous Big-data for Precise Crop BreedingLiang Gong, Qiaojun Lou, Chenrui Yu, et al.
Scientific Reports|November 18, 2016
Genetic determination of the enhanced drought resistance of rice maintainer HuHan2B by pedigree breedingHaibin Wei, Fangjun Feng, Qiaojun Lou, et al.
Hereditas|July 22, 2014
Dissection of additive, epistatic effect and QTL × environment interaction of quantitative trait loci for sheath blight resistance in riceYi Liu, Liang Chen, Dong Fu, et al.
Journal of Agricultural and Food Chemistry|July 26, 2011
Profiling and association mapping of grain metabolites in a subset of the core collection of Chinese rice germplasm (Oryza sativa L.)Qiaojun Lou, Chenfei Ma, Weiwei Wen, et al.
Proteomics|August 6, 2011
Genetic, proteomic and metabolic analysis of the regulation of energy storage in rice seedlings in response to droughtLiebo Shu, Qiaojun Lou, Chenfei Ma, et al.
Plant Science : an International Journal of Experimental Plant Biology|January 19, 2025
Stress-responsive plasma membrane H<sup>+</sup>-ATPases regulate deep rooting in riceDi Wang, Kai Xu, Shoujun Chen, et al.
Frontiers in Plant Science|August 12, 2017
Root Transcriptomic Analysis Revealing the Importance of Energy Metabolism to the Development of Deep Roots in Rice (<i>Oryza sativa</i> L.)Qiaojun Lou, Liang Chen, Hanwei Mei, et al.
Molecular Plant|December 26, 2018
Bi-directional Selection in Upland Rice Leads to Its Adaptive Differentiation from Lowland Rice in Drought Resistance and ProductivityHui Xia, Zhi Luo, Jie Xiong, et al.
Plants (Basel, Switzerland)|July 29, 2023
Identification of Genetic Loci for Rice Seedling Mesocotyl Elongation in Both Natural and Artificial Segregating PopulationsFangjun Feng, Xiaosong Ma, Ming Yan, et al.
The New Phytologist|June 14, 2020
SeedGerm: a cost-effective phenotyping platform for automated seed imaging and machine-learning based phenotypic analysis of crop seed germinationJoshua Colmer, Carmel M O'Neill, Rachel Wells, et al.
Pageof 3