Evidence map›Paper›PMID 42221902›Full record

ArticleFrontiers in plant science2026

Mechanistic insights into enhanced drought resistance of modern cultivars and drought-tolerance indicator screening.

Yuee Liu, Jinfeng Xing, Tianfang Lv, Wantao Cai, Chunyuan Zhang, Jiuran Zhao

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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

6 authors.

Yuee LiuBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agriculture & Forestry Sciences, Beijing, China.
Jinfeng XingBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agriculture & Forestry Sciences, Beijing, China.
Tianfang LvBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agriculture & Forestry Sciences, Beijing, China.
Wantao CaiBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agriculture & Forestry Sciences, Beijing, China.
Chunyuan ZhangBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agriculture & Forestry Sciences, Beijing, China.
Jiuran ZhaoBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agriculture & Forestry Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cultivar improvement is an important means of enhancing drought resistance in maize. Investigating the reasons for enhanced drought resistance in modern cultivars and screening drought tolerance indicators are of great significance for the breeding of drought-tolerant maize cultivars in China. This study first assess the drought resistance in cultivars from different eras and its influencing factors and then examines the relationship between drought resistance and phenotypic indexes to screen for drought resistance indicators useful for breeders in selecting drought-resistant cultivars. An investigation of drought resistance was performed in a rainout shelter in Hengshui, Hebei, over the 2018 and 2019 growing seasons. The experiment employed a split-split plot design, which comprised nine maize hybrids representing different eras and three water treatment levels (full irrigation, moderate drought, and intense drought). Grain yield and phenotypic indexes of different maize hybrids from different eras (1970s to 2010s) were compared under different water treatments. Maize yield showed a significant linear increase with the year of release (p < 0.01). The maize yield of modern cultivars (Cluster III) under full irrigation, moderate drought, and intense drought was 9.08 t ha

Indexed as

cultivardrought resistancedrought resistance indexmaizeyield

Identifiers

PMID42221902
PMCPMC13218908

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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.