Evidence map›Paper›PMID 29765385›Full record

ArticleFrontiers in plant science2018

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

Marta S Lopes, Conxita Royo, Fanny Alvaro, Miguel Sanchez-Garcia, Emel Ozer, Fatih Ozdemir, Mehmet Karaman, Mozaffar Roustaii, Mohammad R Jalal-Kamali, Diego Pequeno

Abstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Marta S LopesThe International Maize and Wheat Improvement Center (CIMMYT), Ankara, Turkey.
Conxita RoyoSustainable Field Crops Program, Institute for Food and Agricultural Research and Technology (IRTA), Lleida, Spain.
Fanny AlvaroSustainable Field Crops Program, Institute for Food and Agricultural Research and Technology (IRTA), Lleida, Spain.
Miguel Sanchez-GarciaInternational Centre for Agricultural Research in Dry Areas, Rabat, Morocco.
Emel OzerBahri Dagdas International Agricultural Research Institute, Konya, Turkey.
Fatih OzdemirBahri Dagdas International Agricultural Research Institute, Konya, Turkey.
Mehmet KaramanGAP Uluslararası Tarımsal Araştırma Ve Eğitim Merkezi Müdürlüğü (GAPUTAEM), Diyarbakir, Turkey.
Mozaffar RoustaiiDryland Agricultural Research Institute (DARI), AREEO, Maragheh, Iran.
Mohammad R Jalal-KamaliGlobal Wheat Program, The International Maize and Wheat Improvement Center (CIMMYT), Seed and Plant Improvement Institute Campus, Karaj, Iran.
Diego PequenoSocioeconomics Program, The International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

headinglow rainfallreproductive stagevegetative stagewithin species diversity

Identifiers

PMID29765385
PMCPMC5938555

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.