Evidence map›Paper›PMID 41896248›Full record

ArticleNature communications2026

Cultivar evolution underpins maize yield sensitivity to adverse climate conditions.

Li Zhang, Zhiyuan Bai, Wang Xi, Datong Zhang, Jørgen Eivind Olesen, Matthew Tom Harrison, Carl Bernacchi, David Makowski, Andrew James McDonald, Shanheng Shi and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Li ZhangCollege of Agronomy and Biotechnology, China Agricultural University; Key Laboratory of Farming system, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Zhiyuan BaiCollege of Agronomy and Biotechnology, China Agricultural University; Key Laboratory of Farming system, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Wang XiCollege of Agronomy and Biotechnology, China Agricultural University; Key Laboratory of Farming system, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Datong ZhangCollege of Agronomy and Biotechnology, China Agricultural University; Key Laboratory of Farming system, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Jørgen Eivind OlesenDepartment of Agroecology, Aarhus University, Tjele, Denmark.ORCID http://orcid.org/0000-0002-6639-1273
Matthew Tom HarrisonTasmanian Institute of Agriculture, University of Tasmania, Launceston, TAS, Australia.ORCID http://orcid.org/0000-0001-7425-452X
Carl BernacchiInstitute for Sustainability, Energy and Environment, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
David MakowskiUniversité Paris-Saclay, AgroParisTech, INRAE,UMR 518 MIA PS, Palaiseau, France.ORCID http://orcid.org/0000-0001-6385-3703
Andrew James McDonaldSoil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-2660-3470
Shanheng ShiCollege of Agronomy and Biotechnology, China Agricultural University; Key Laboratory of Farming system, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Ke LiuTasmanian Institute of Agriculture, University of Tasmania, Launceston, TAS, Australia.ORCID http://orcid.org/0000-0002-8343-0449
Ehsan Eyshi RezaeiLeibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany.ORCID http://orcid.org/0000-0003-2603-8034
Qi ZhengDepartment of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA.
Yuli ShanSchool of Geography, Earth and Environmental Sciences (GEES), University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-5215-8657
Fu ChenCollege of Agronomy and Biotechnology, China Agricultural University; Key Laboratory of Farming system, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Xiaogang YinCollege of Agronomy and Biotechnology, China Agricultural University; Key Laboratory of Farming system, Ministry of Agriculture and Rural Affairs of China, Beijing, China. xiaogangyin@cau.edu.cn.ORCID http://orcid.org/0000-0001-9925-4585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cultivar evolution through plant breeding is a cornerstone of contemporary food security, but the extent to which genetic adaptation to climatic variability and shocks contributes to yield gains is not well known. Here, we compile 48,797 cultivar-site-year observations from 2001 to 2020, covering the four prominent maize production regions in China with differing shifts in climatic conditions. The data shows that cultivar evolution underlies long-term yield gains, with productivity increasing by 0.3-2.8 Mg ha

Indexed as

Adaptation, PhysiologicalClimateZea maysChinaHeat-Shock ResponseRain

Identifiers

PMID41896248
PMCPMC13194863

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.