subject: Agronomy subject: Genetic Diversity type: dataset
10.4231/1CKS-S381
Diane Ran Wang , 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 , Rachel Katrina Imel , To-Chia Ting , 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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