Evidence map›Paper›PMID 42488449›Full record

ArticleFrontiers in plant science2026

Systemic decoupling of trait coordination: network-based identification of multi-stress resilient maize ideotypes.

Huaijun Tang, Lei Zhang, Yi Ren, Xiaoqing Xie, Yejian Wang, Xiaodong Wang, Shengqi Gao, Li Ma, Tianyu Wang, Cheng Liu

Abstract read
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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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Huaijun Tang *Institute of Crops Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi, China.
Lei Zhang *Institute of Crops Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi, China.
Yi RenCollege of Agronomy, Xinjiang Agricultural University, Urumqi, China.
Xiaoqing XieInstitute of Crops Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi, China.
Yejian WangInstitute of Crops Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi, China.
Xiaodong WangInstitute of Crops Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi, China.
Shengqi GaoInstitute of Crops Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi, China.
Li MaInstitute of Crops Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi, China.
Tianyu WangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Cheng LiuInstitute of Crops Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The agricultural sector faces significant challenges in maintaining crop productivity under environmental stressors such as drought and low nitrogen (LN) availability. Maize (Zea mays L.), a globally important cereal crop, is particularly vulnerable to these adverse conditions. We evaluated morphological data of 21 maize varieties under drought and low nitrogen. Results showed that vegetative traits showed moderate plasticity, while reproductive synchrony was the primary driver of yield stability. Drought stress led to a ~4-fold expansion of the Anthesis-Silking Interval (ASI), increasing from 0.14 to 0.55 days, which contributed to a 27% reduction in grain yield per plant (GYP). The network analysis showed that under drought, traits became fundamentally decoupled. In well-watered conditions, growth and yield formed a highly coordinated hub, but under water deficit the network fragmented - with tip blanking (r = -0.44) and empty kernel rate (r = -0.37) emerging as the key negative regulators. Conversely, the germplasm showed resilience to low nitrogen, with grain yield per plant (GYP) showing no significant difference from control (215 ± 19.3 g vs. 218 ± 21.5 g; P > 0.05). Under low nitrogen, kernel length (-2.1%, P < 0.05) and hundred-kernel weight (-3.2%, P < 0.05) decreased significantly, but total kernels per ear increased by 7.1% (P < 0.05), fully buffering yield through a sink-protected compensation strategy. Utilizing the Stress Tolerance Index (STI), we identified Xinyu 108, Ruipu 909, and Weike 702 as elite, multi-stress resilient varieties, highlighting their potential for cultivation in resource-limited environments. This research offers valuable insights for breeding programs focused on developing resilient maize varieties.

Indexed as

abiotic stressdrought tolerancehigh-yielding varietieslow nitrogen tolerancemaizenitrogen use efficiency

Identifiers

PMID42488449
PMCPMC13388051

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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.