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Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits

An acceleration of the genetic advances of durum wheat, as a major crop for the Mediterranean region, is required, but phenotyping still represents a bottleneck for breeding. This study aims to define durum wheat ideotypes under Mediterranean conditions by selecting the most suitable phenotypic remo...

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Autores principales: Gracia-Romero, Adrian, Vatter, Thomas, Kefauver, Shawn C., Rezzouk, Fatima Zahra, Segarra, Joel, Nieto-Taladriz, María Teresa, Aparicio, Nieves, Araus, José Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508639/
https://www.ncbi.nlm.nih.gov/pubmed/37731983
http://dx.doi.org/10.3389/fpls.2023.1254301
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author Gracia-Romero, Adrian
Vatter, Thomas
Kefauver, Shawn C.
Rezzouk, Fatima Zahra
Segarra, Joel
Nieto-Taladriz, María Teresa
Aparicio, Nieves
Araus, José Luis
author_facet Gracia-Romero, Adrian
Vatter, Thomas
Kefauver, Shawn C.
Rezzouk, Fatima Zahra
Segarra, Joel
Nieto-Taladriz, María Teresa
Aparicio, Nieves
Araus, José Luis
author_sort Gracia-Romero, Adrian
collection PubMed
description An acceleration of the genetic advances of durum wheat, as a major crop for the Mediterranean region, is required, but phenotyping still represents a bottleneck for breeding. This study aims to define durum wheat ideotypes under Mediterranean conditions by selecting the most suitable phenotypic remote sensing traits among different ones informing on characteristics related with leaf pigments/photosynthetic status, crop water status, and crop growth/green biomass. A set of 24 post–green revolution durum wheat cultivars were assessed in a wide set of 19 environments, accounted as the specific combinations of a range of latitudes in Spain, under different management conditions (water regimes and planting dates), through 3 consecutive years. Thus, red–green–blue and multispectral derived vegetation indices and canopy temperature were evaluated at anthesis and grain filling. The potential of the assessed remote sensing parameters alone and all combined as grain yield (GY) predictors was evaluated through random forest regression models performed for each environment and phenological stage. Biomass and plot greenness indicators consistently proved to be reliable GY predictors in all of the environments tested for both phenological stages. For the lowest-yielding environment, the contribution of water status measurements was higher during anthesis, whereas, for the highest-yielding environments, better predictions were reported during grain filling. Remote sensing traits measured during the grain filling and informing on pigment content and photosynthetic capacity were highlighted under the environments with warmer conditions, as the late-planting treatments. Overall, canopy greenness indicators were reported as the highest correlated traits for most of the environments and regardless of the phenological moment assessed. The addition of carbon isotope composition of mature kernels was attempted to increase the accuracies, but only a few were slightly benefited, as differences in water status among cultivars were already accounted by the measurement of canopy temperature.
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spelling pubmed-105086392023-09-20 Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits Gracia-Romero, Adrian Vatter, Thomas Kefauver, Shawn C. Rezzouk, Fatima Zahra Segarra, Joel Nieto-Taladriz, María Teresa Aparicio, Nieves Araus, José Luis Front Plant Sci Plant Science An acceleration of the genetic advances of durum wheat, as a major crop for the Mediterranean region, is required, but phenotyping still represents a bottleneck for breeding. This study aims to define durum wheat ideotypes under Mediterranean conditions by selecting the most suitable phenotypic remote sensing traits among different ones informing on characteristics related with leaf pigments/photosynthetic status, crop water status, and crop growth/green biomass. A set of 24 post–green revolution durum wheat cultivars were assessed in a wide set of 19 environments, accounted as the specific combinations of a range of latitudes in Spain, under different management conditions (water regimes and planting dates), through 3 consecutive years. Thus, red–green–blue and multispectral derived vegetation indices and canopy temperature were evaluated at anthesis and grain filling. The potential of the assessed remote sensing parameters alone and all combined as grain yield (GY) predictors was evaluated through random forest regression models performed for each environment and phenological stage. Biomass and plot greenness indicators consistently proved to be reliable GY predictors in all of the environments tested for both phenological stages. For the lowest-yielding environment, the contribution of water status measurements was higher during anthesis, whereas, for the highest-yielding environments, better predictions were reported during grain filling. Remote sensing traits measured during the grain filling and informing on pigment content and photosynthetic capacity were highlighted under the environments with warmer conditions, as the late-planting treatments. Overall, canopy greenness indicators were reported as the highest correlated traits for most of the environments and regardless of the phenological moment assessed. The addition of carbon isotope composition of mature kernels was attempted to increase the accuracies, but only a few were slightly benefited, as differences in water status among cultivars were already accounted by the measurement of canopy temperature. Frontiers Media S.A. 2023-09-05 /pmc/articles/PMC10508639/ /pubmed/37731983 http://dx.doi.org/10.3389/fpls.2023.1254301 Text en Copyright © 2023 Gracia-Romero, Vatter, Kefauver, Rezzouk, Segarra, Nieto-Taladriz, Aparicio and Araus https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Gracia-Romero, Adrian
Vatter, Thomas
Kefauver, Shawn C.
Rezzouk, Fatima Zahra
Segarra, Joel
Nieto-Taladriz, María Teresa
Aparicio, Nieves
Araus, José Luis
Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits
title Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits
title_full Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits
title_fullStr Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits
title_full_unstemmed Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits
title_short Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits
title_sort defining durum wheat ideotypes adapted to mediterranean environments through remote sensing traits
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508639/
https://www.ncbi.nlm.nih.gov/pubmed/37731983
http://dx.doi.org/10.3389/fpls.2023.1254301
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