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Optimizing Winter Wheat Resilience to Climate Change in Rain Fed Crop Systems of Turkey and Iran

Erratic weather patterns associated with increased temperatures and decreasing rainfall pose unique challenges for wheat breeders playing a key part in the fight to ensure global food security. Within rain fed winter wheat areas of Turkey and Iran, unusual weather patterns may prevent attaining maxi...

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Autores principales: Lopes, Marta S., Royo, Conxita, Alvaro, Fanny, Sanchez-Garcia, Miguel, Ozer, Emel, Ozdemir, Fatih, Karaman, Mehmet, Roustaii, Mozaffar, Jalal-Kamali, Mohammad R., Pequeno, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938555/
https://www.ncbi.nlm.nih.gov/pubmed/29765385
http://dx.doi.org/10.3389/fpls.2018.00563
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author Lopes, Marta S.
Royo, Conxita
Alvaro, Fanny
Sanchez-Garcia, Miguel
Ozer, Emel
Ozdemir, Fatih
Karaman, Mehmet
Roustaii, Mozaffar
Jalal-Kamali, Mohammad R.
Pequeno, Diego
author_facet Lopes, Marta S.
Royo, Conxita
Alvaro, Fanny
Sanchez-Garcia, Miguel
Ozer, Emel
Ozdemir, Fatih
Karaman, Mehmet
Roustaii, Mozaffar
Jalal-Kamali, Mohammad R.
Pequeno, Diego
author_sort Lopes, Marta S.
collection PubMed
description Erratic weather patterns associated with increased temperatures and decreasing rainfall pose unique challenges for wheat breeders playing a key part in the fight to ensure global food security. Within rain fed winter wheat areas of Turkey and Iran, unusual weather patterns may prevent attaining maximum potential increases in winter wheat genetic gains. This is primarily related to the fact that the yield ranking of tested genotypes may change from one year to the next. Changing weather patterns may interfere with the decisions breeders make about the ideotype(s) they should aim for during selection. To inform breeding decisions, this study aimed to optimize major traits by modeling different combinations of environments (locations and years) and by defining a probabilistic range of trait variations [phenology and plant height (PH)] that maximized grain yields (GYs; one wheat line with optimal heading and height is suggested for use as a testing line to aid selection calibration decisions). Research revealed that optimal phenology was highly related to the temperature and to rainfall at which winter wheat genotypes were exposed around heading time (20 days before and after heading). Specifically, later winter wheat genotypes were exposed to higher temperatures both before and after heading, increased rainfall at the vegetative stage, and reduced rainfall during grain filling compared to early genotypes. These variations in exposure to weather conditions resulted in shorter grain filling duration and lower GYs in long-duration genotypes. This research tested if diversity within species may increase resilience to erratic weather patterns. For the study, calculated production of a selection of five high yielding genotypes (if grown in five plots) was tested against monoculture (if only a single genotype grown in the same area) and revealed that a set of diverse genotypes with different phenologies and PHs was not beneficial. New strategies of progeny selection are discussed: narrow range of variation for phenology in families may facilitate the discovery and selection of new drought-resistant and avoidant wheat lines targeting specific locations.
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spelling pubmed-59385552018-05-14 Optimizing Winter Wheat Resilience to Climate Change in Rain Fed Crop Systems of Turkey and Iran Lopes, Marta S. Royo, Conxita Alvaro, Fanny Sanchez-Garcia, Miguel Ozer, Emel Ozdemir, Fatih Karaman, Mehmet Roustaii, Mozaffar Jalal-Kamali, Mohammad R. Pequeno, Diego Front Plant Sci Plant Science Erratic weather patterns associated with increased temperatures and decreasing rainfall pose unique challenges for wheat breeders playing a key part in the fight to ensure global food security. Within rain fed winter wheat areas of Turkey and Iran, unusual weather patterns may prevent attaining maximum potential increases in winter wheat genetic gains. This is primarily related to the fact that the yield ranking of tested genotypes may change from one year to the next. Changing weather patterns may interfere with the decisions breeders make about the ideotype(s) they should aim for during selection. To inform breeding decisions, this study aimed to optimize major traits by modeling different combinations of environments (locations and years) and by defining a probabilistic range of trait variations [phenology and plant height (PH)] that maximized grain yields (GYs; one wheat line with optimal heading and height is suggested for use as a testing line to aid selection calibration decisions). Research revealed that optimal phenology was highly related to the temperature and to rainfall at which winter wheat genotypes were exposed around heading time (20 days before and after heading). Specifically, later winter wheat genotypes were exposed to higher temperatures both before and after heading, increased rainfall at the vegetative stage, and reduced rainfall during grain filling compared to early genotypes. These variations in exposure to weather conditions resulted in shorter grain filling duration and lower GYs in long-duration genotypes. This research tested if diversity within species may increase resilience to erratic weather patterns. For the study, calculated production of a selection of five high yielding genotypes (if grown in five plots) was tested against monoculture (if only a single genotype grown in the same area) and revealed that a set of diverse genotypes with different phenologies and PHs was not beneficial. New strategies of progeny selection are discussed: narrow range of variation for phenology in families may facilitate the discovery and selection of new drought-resistant and avoidant wheat lines targeting specific locations. Frontiers Media S.A. 2018-05-01 /pmc/articles/PMC5938555/ /pubmed/29765385 http://dx.doi.org/10.3389/fpls.2018.00563 Text en Copyright © 2018 Lopes, Royo, Alvaro, Sanchez-Garcia, Ozer, Ozdemir, Karaman, Roustaii, Jalal-Kamali and Pequeno. http://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 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
Lopes, Marta S.
Royo, Conxita
Alvaro, Fanny
Sanchez-Garcia, Miguel
Ozer, Emel
Ozdemir, Fatih
Karaman, Mehmet
Roustaii, Mozaffar
Jalal-Kamali, Mohammad R.
Pequeno, Diego
Optimizing Winter Wheat Resilience to Climate Change in Rain Fed Crop Systems of Turkey and Iran
title Optimizing Winter Wheat Resilience to Climate Change in Rain Fed Crop Systems of Turkey and Iran
title_full Optimizing Winter Wheat Resilience to Climate Change in Rain Fed Crop Systems of Turkey and Iran
title_fullStr Optimizing Winter Wheat Resilience to Climate Change in Rain Fed Crop Systems of Turkey and Iran
title_full_unstemmed Optimizing Winter Wheat Resilience to Climate Change in Rain Fed Crop Systems of Turkey and Iran
title_short Optimizing Winter Wheat Resilience to Climate Change in Rain Fed Crop Systems of Turkey and Iran
title_sort optimizing winter wheat resilience to climate change in rain fed crop systems of turkey and iran
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938555/
https://www.ncbi.nlm.nih.gov/pubmed/29765385
http://dx.doi.org/10.3389/fpls.2018.00563
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