Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1783320806419333120 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5938555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lopesmartas optimizingwinterwheatresiliencetoclimatechangeinrainfedcropsystemsofturkeyandiran AT royoconxita optimizingwinterwheatresiliencetoclimatechangeinrainfedcropsystemsofturkeyandiran AT alvarofanny optimizingwinterwheatresiliencetoclimatechangeinrainfedcropsystemsofturkeyandiran AT sanchezgarciamiguel optimizingwinterwheatresiliencetoclimatechangeinrainfedcropsystemsofturkeyandiran AT ozeremel optimizingwinterwheatresiliencetoclimatechangeinrainfedcropsystemsofturkeyandiran AT ozdemirfatih optimizingwinterwheatresiliencetoclimatechangeinrainfedcropsystemsofturkeyandiran AT karamanmehmet optimizingwinterwheatresiliencetoclimatechangeinrainfedcropsystemsofturkeyandiran AT roustaiimozaffar optimizingwinterwheatresiliencetoclimatechangeinrainfedcropsystemsofturkeyandiran AT jalalkamalimohammadr optimizingwinterwheatresiliencetoclimatechangeinrainfedcropsystemsofturkeyandiran AT pequenodiego optimizingwinterwheatresiliencetoclimatechangeinrainfedcropsystemsofturkeyandiran |