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Shuen-Fang Lo

Showing results (1-10 of 26) with videos related to

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Trends in Plant Science|November 26, 2015
Source-Sink Communication: Regulated by Hormone, Nutrient, and Stress Cross-SignalingSu-May Yu, Shuen-Fang Lo, Tuan-Hua David Ho
The New Phytologist|December 28, 2019
How does rice cope with too little oxygen during its early life?Su-May Yu, Hsiang-Ting Lee, Shuen-Fang Lo, et al.
Plos Computational Biology|May 9, 2019
EAT-Rice: A predictive model for flanking gene expression of T-DNA insertion activation-tagged rice mutants by machine learning approachesChi-Chou Liao, Liang-Jwu Chen, Shuen-Fang Lo, et al.
Plant Disease|December 6, 2023
A Large-Scale Hydroponic Evaluation of Rice Mutants for <i>Pythium</i> ResistanceZun-Jie Syu, Chi-Kuan Tu, Chi-Yu Chen, et al.
Plant & Cell Physiology|September 20, 2017
Ectopic Expression of WINDING 1 Leads to Asymmetrical Distribution of Auxin and a Spiral Phenotype in RiceMing-Lung Cheng, Shuen-Fang Lo, An-Shan Hsiao, et al.
Plant Biotechnology Journal|September 10, 2014
A late embryogenesis abundant protein HVA1 regulated by an inducible promoter enhances root growth and abiotic stress tolerance in rice without yield penaltyYi-Shih Chen, Shuen-Fang Lo, Peng-Kai Sun, et al.
Plos One|April 25, 2014
Increasing leaf vein density by mutagenesis: laying the foundations for C4 riceAryo B Feldman, Erik H Murchie, Hei Leung, et al.
Proteomics|March 14, 2019
The Nucleotide-Dependent Interactome of Rice Heterotrimeric G-Protein α -SubunitAkshaya Kumar Biswal, Evan Wesley McConnell, Emily Grace Werth, et al.
Frontiers in Genetics|January 3, 2022
Using Machine Learning Approaches to Predict Target Gene Expression in Rice T-DNA Insertional MutantsChing-Hsuan Chien, Lan-Ying Huang, Shuen-Fang Lo, et al.
The Plant Cell|October 28, 2008
A novel class of gibberellin 2-oxidases control semidwarfism, tillering, and root development in riceShuen-Fang Lo, Show-Ya Yang, Ku-Ting Chen, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Trends in Plant Science|November 26, 2015
Source-Sink Communication: Regulated by Hormone, Nutrient, and Stress Cross-SignalingSu-May Yu, Shuen-Fang Lo, Tuan-Hua David Ho
The New Phytologist|December 28, 2019
How does rice cope with too little oxygen during its early life?Su-May Yu, Hsiang-Ting Lee, Shuen-Fang Lo, et al.
Plos Computational Biology|May 9, 2019
EAT-Rice: A predictive model for flanking gene expression of T-DNA insertion activation-tagged rice mutants by machine learning approachesChi-Chou Liao, Liang-Jwu Chen, Shuen-Fang Lo, et al.
Plant Disease|December 6, 2023
A Large-Scale Hydroponic Evaluation of Rice Mutants for <i>Pythium</i> ResistanceZun-Jie Syu, Chi-Kuan Tu, Chi-Yu Chen, et al.
Plant & Cell Physiology|September 20, 2017
Ectopic Expression of WINDING 1 Leads to Asymmetrical Distribution of Auxin and a Spiral Phenotype in RiceMing-Lung Cheng, Shuen-Fang Lo, An-Shan Hsiao, et al.
Plant Biotechnology Journal|September 10, 2014
A late embryogenesis abundant protein HVA1 regulated by an inducible promoter enhances root growth and abiotic stress tolerance in rice without yield penaltyYi-Shih Chen, Shuen-Fang Lo, Peng-Kai Sun, et al.
Plos One|April 25, 2014
Increasing leaf vein density by mutagenesis: laying the foundations for C4 riceAryo B Feldman, Erik H Murchie, Hei Leung, et al.
Proteomics|March 14, 2019
The Nucleotide-Dependent Interactome of Rice Heterotrimeric G-Protein α -SubunitAkshaya Kumar Biswal, Evan Wesley McConnell, Emily Grace Werth, et al.
Frontiers in Genetics|January 3, 2022
Using Machine Learning Approaches to Predict Target Gene Expression in Rice T-DNA Insertional MutantsChing-Hsuan Chien, Lan-Ying Huang, Shuen-Fang Lo, et al.
The Plant Cell|October 28, 2008
A novel class of gibberellin 2-oxidases control semidwarfism, tillering, and root development in riceShuen-Fang Lo, Show-Ya Yang, Ku-Ting Chen, et al.
Pageof 3