Row selection in remote sensing from four-row plots of maize and sorghum based on repeatability and predictive modeling

Remote sensing enables the rapid assessment of many traits that provide valuable information to plant breeders throughout the growing season to improve genetic gain. These traits are often extracted from remote sensing data on a row segment (rows within a plot) basis enabling the quantitative assess...

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Bibliographic Details
Main Authors: Seth A. Tolley, Neal Carpenter, Melba M. Crawford, Edward J. Delp, Ayman Habib, Mitchell R. Tuinstra
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1202536/full