creator: Rachel Katrina Imel date: 2022
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
10.4231/0JP3-WK59
Diane Ran Wang, 0000-0002-2290-3257, Rachel Katrina Imel
10/04/2022
Rice introgression lines were analyzed for their response to water-deficit conditions under controlled environments at Purdue University as well as a field setting in Stuttgart, Arkansas.
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