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Performance Prediction of Durum Wheat Genotypes in Response to Drought and Heat in Climate Change Conditions

With an approach combining crop modelling and biotechnology to assess the performance of three durum wheat cultivars (Creso, Duilio, Simeto) in a climate change context, weather and agronomic datasets over the period 1973–2004 from two sites, Benatzu and Ussana (Southern Sardinia, Itay), were used a...

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Autores principales: Dettori, Marco, Cesaraccio, Carla, Duce, Pierpaolo, Mereu, Valentina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951375/
https://www.ncbi.nlm.nih.gov/pubmed/35328044
http://dx.doi.org/10.3390/genes13030488
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author Dettori, Marco
Cesaraccio, Carla
Duce, Pierpaolo
Mereu, Valentina
author_facet Dettori, Marco
Cesaraccio, Carla
Duce, Pierpaolo
Mereu, Valentina
author_sort Dettori, Marco
collection PubMed
description With an approach combining crop modelling and biotechnology to assess the performance of three durum wheat cultivars (Creso, Duilio, Simeto) in a climate change context, weather and agronomic datasets over the period 1973–2004 from two sites, Benatzu and Ussana (Southern Sardinia, Itay), were used and the model responses were interpreted considering the role of DREB genes in the genotype performance with a focus on drought conditions. The CERES-Wheat crop model was calibrated and validated for grain yield, earliness and kernel weight. Forty-eight synthetic scenarios were used: 6 scenarios with increasing maximum air temperature; 6 scenarios with decreasing rainfall; 36 scenarios combining increasing temperature and decreasing rainfall. The simulated effects on yields, anthesis and kernel weights resulted in yield reduction, increasing kernel weight, and shortened growth duration in both sites. Creso (late cultivar) was the most sensitive to simulated climate conditions. Simeto and Duilio (early cultivars) showed lower simulated yield reductions and a larger anticipation of anthesis date. Observed data showed the same responses for the three cultivars in both sites. The CERES-Wheat model proved to be effective in representing reality and can be used in crop breeding programs with a molecular approach aiming at developing molecular markers for the resistance to drought stress.
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spelling pubmed-89513752022-03-26 Performance Prediction of Durum Wheat Genotypes in Response to Drought and Heat in Climate Change Conditions Dettori, Marco Cesaraccio, Carla Duce, Pierpaolo Mereu, Valentina Genes (Basel) Article With an approach combining crop modelling and biotechnology to assess the performance of three durum wheat cultivars (Creso, Duilio, Simeto) in a climate change context, weather and agronomic datasets over the period 1973–2004 from two sites, Benatzu and Ussana (Southern Sardinia, Itay), were used and the model responses were interpreted considering the role of DREB genes in the genotype performance with a focus on drought conditions. The CERES-Wheat crop model was calibrated and validated for grain yield, earliness and kernel weight. Forty-eight synthetic scenarios were used: 6 scenarios with increasing maximum air temperature; 6 scenarios with decreasing rainfall; 36 scenarios combining increasing temperature and decreasing rainfall. The simulated effects on yields, anthesis and kernel weights resulted in yield reduction, increasing kernel weight, and shortened growth duration in both sites. Creso (late cultivar) was the most sensitive to simulated climate conditions. Simeto and Duilio (early cultivars) showed lower simulated yield reductions and a larger anticipation of anthesis date. Observed data showed the same responses for the three cultivars in both sites. The CERES-Wheat model proved to be effective in representing reality and can be used in crop breeding programs with a molecular approach aiming at developing molecular markers for the resistance to drought stress. MDPI 2022-03-10 /pmc/articles/PMC8951375/ /pubmed/35328044 http://dx.doi.org/10.3390/genes13030488 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dettori, Marco
Cesaraccio, Carla
Duce, Pierpaolo
Mereu, Valentina
Performance Prediction of Durum Wheat Genotypes in Response to Drought and Heat in Climate Change Conditions
title Performance Prediction of Durum Wheat Genotypes in Response to Drought and Heat in Climate Change Conditions
title_full Performance Prediction of Durum Wheat Genotypes in Response to Drought and Heat in Climate Change Conditions
title_fullStr Performance Prediction of Durum Wheat Genotypes in Response to Drought and Heat in Climate Change Conditions
title_full_unstemmed Performance Prediction of Durum Wheat Genotypes in Response to Drought and Heat in Climate Change Conditions
title_short Performance Prediction of Durum Wheat Genotypes in Response to Drought and Heat in Climate Change Conditions
title_sort performance prediction of durum wheat genotypes in response to drought and heat in climate change conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951375/
https://www.ncbi.nlm.nih.gov/pubmed/35328044
http://dx.doi.org/10.3390/genes13030488
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