Evidence map›Paper›PMID 42739495›Full record

ArticlePlants (Basel, Switzerland)2026

Combined Application of Controlled-Release Urea and Common Urea Improves Yield and Nitrogen Use Efficiency in Low-Gluten Wheat.

Di Li, Guanghui Du, Liyang Chen, Jianbo Yang, Guobing Wang, Yuhu Lv, Yao Liu, Xun Li

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Di LiInstitute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou 450052, China.
Guanghui DuXinyang Academy of Agricultural Sciences, Xinyang 464001, China.
Liyang ChenXinyang Academy of Agricultural Sciences, Xinyang 464001, China.
Jianbo YangInstitute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou 450052, China.
Guobing WangInstitute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou 450052, China.
Yuhu LvXinyang Academy of Agricultural Sciences, Xinyang 464001, China.
Yao LiuXinyang Academy of Agricultural Sciences, Xinyang 464001, China.
Xun LiState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China.ORCID 0000-0003-1926-616X

Funding

Henan Province Open Bidding Project for Key Technology Breakthroughs 211110110800High-level Talent Research Start-up Project Funding of Henan Academy of Sciences 241801096Joint Fund of Henan Province Science and Technology R&D Program 225200810104, 235200810045Natural Science Foundation of Henan 252300423251
6 · The paper itself

Abstract

Optimizing nitrogen (N) management is essential for improving grain yield, quality, and nitrogen use efficiency (NUE) in low-gluten wheat, yet the optimal fertilizer strategy remains unclear. A two-year field experiment was conducted to evaluate the effects of common urea (CU), controlled-release urea (CRU), and their combination on yield, quality, NUE, and soil N content in low-gluten wheat. The results showed that, compared with 100% common urea (CU100), 100% controlled-release urea (CRU100) increased grain yield by 8.51% in 2023 and 14.3% in 2024, while 80% controlled-release urea and 20% common urea (CRU80CU20) increased grain yield by 19.2% in 2023 and 23.3% in 2024. These increases were accompanied by enhanced grain number per spike and dry matter accumulation. CRU-based treatments improved NUE, with the highest NUE observed in the CRU80CU20 treatment. Compared with CU100, CRU80CU20 significantly decreased grain protein content while maintaining high grain yield. Path analysis indicated that CRU was positively associated with dry matter accumulation, which in turn was positively associated with grain yield, whereas N translocation was closely associated with grain protein-related quality. In conclusion, CRU80CU20 provided a favorable combination of high grain yield, high NUE, and lower grain protein content, indicating that it is a promising N management strategy for the production of low-gluten wheat.

Indexed as

controlled-release ureagrain qualitynitrogen uptakenitrogen use efficiencyyield

Identifiers

PMID42739495
PMCPMC13567705

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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.