Assessing the Alignment Between Naturally Adaptive Grain Crop Planting Patterns and Staple Food Security in China.

Zonghan Zhang, Qiuchen Hong, Yihang Sun, Jinmin Hao, Dong Ai

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Farmland and Cropping Pattern Dynamics in Myanmar: Implications for Food Security and Sustainable Agriculture.Foods (Basel, Switzerland) · 2026
Article

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

5 authors.

Zonghan ZhangCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China.

Qiuchen HongCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0009-0000-6973-2582

Yihang SunCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China.

Jinmin HaoCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China.

Dong AiCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-1393-8335

Funding

National Science and Technology Support Program of China 2015BAD06B01

6 · The paper itself

Abstract

Climate change and socio-economic transformation increasingly challenge the stability of China's food supply. This study aims to optimize grain crop layouts by integrating natural suitability and nutritional supply within a unified analytical framework. Using the MaxEnt model incorporating bioclimatic, topographic, and soil variables, we simulated the natural suitability of major grain crops and compared it with actual planting patterns based on the SPAM dataset. Results revealed substantial spatial discrepancies between actual and suitable distributions, with national planting diversity index increasing by 26.42% (from 0.53 to 0.67) under suitable conditions. Wheat and maize are most suited to northern China, rice and tuber crops to southern regions, while soybean performs optimally in the northeast. Nutrient supply potential also improved substantially under the suitable scenario, with energy, protein, fat, and carbohydrate increasing by 56.9 × 10

Indexed as

grain cropsnatural suitabilitynutrient supplysustainable food production

Identifiers

PMID41300028

DOI10.3390/foods14223870

PMCPMC12651675

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.