subject: Agronomy subject: Genetic Diversity type: dataset
10.4231/1CKS-S381
Diane Ran Wang, 0000-0002-2290-3257, Dmytro Chebotarov, Francisco Agosto-Perez, Jonathan Marchini, Kenneth McNally, Melissa Fitzgerald, Nickolai Alexandrov, Susan McCouch, Yuxin Shi
08/19/2021
Files required for imputation of rice genomes using IMPUTE-2 software.
Agronomy Genetic Diversity Genomics imputation reference panel Rice
10.4231/SY0A-W347
Augusto Souza, Carmela R. Guadagno, Chris Hoagland, Diane Ran Wang, 0000-0002-2290-3257, Rachel Katrina Imel, To-Chia Ting, 0000-0001-5273-7520, Yang Yang
12/08/2022
To predict rice physiological traits from automated hyperspectral data, 14 physiological traits were collected when the rice plants were six to 13 weeks old. Concurrently, side-view hyperspectral imaging events took place two to three times per week.
Agronomy Genetic Diversity growth traits Hyperspectral imaging Nitrogen Oryza sativa
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