Article
Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice.
G3 (Bethesda, Md.) - 2 May 2023
Bi Ye, Yassue Rafael Massahiro, Paul Puneet, Dhatt Balpreet Kaur, Sandhu Jaspreet, Do Phuc Thi, Walia Harkamal, Obata Toshihiro, Morota Gota
Abstract excerpt
The asymmetric increase in average nighttime temperatures relative to increase in average daytime temperatures due to climate change is decreasing grain yield and quality in rice. Therefore, a better genome-level understanding of the impact of higher night temperature stress on the weight of individual grains is essential for future development of more resilient rice. We investigated the utility of metabolites...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.