High-Throughput Phenotyping and Random Regression Models Reveal Temporal Genetic Control of Soybean Biomass Production

High-Throughput Phenotyping and Random Regression Models Reveal Temporal Genetic Control of Soybean Biomass Production

Understanding temporal accumulation of soybean above-ground biomass (AGB) has the potential to contribute to yield gains and the development of stress-resilient cultivars. Our main objectives were to develop a high-throughput phenotyping method to predict soybean AGB over time and to reveal its temp...

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Bibliographic Details
Main Authors: Fabiana Freitas Moreira, Hinayah Rojas de Oliveira, Miguel Angel Lopez, Bilal Jamal Abughali, Guilherme Gomes, Keith Aric Cherkauer, Luiz Fernando Brito, Katy Martin Rainey
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Plant Science
Subjects:
digital agriculture
Glycine max
longitudinal traits
phenomics
plant breeding
time series
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.715983/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2021.715983/full

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