Evidence map›Paper›PMID 37149677›Full record

ArticleNature communications2023

China can be self-sufficient in maize production by 2030 with optimal crop management.

Ning Luo, Qingfeng Meng, Puyu Feng, Ziren Qu, Yonghong Yu, De Li Liu, Christoph Müller, Pu Wang

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Ning LuoCollege of Agronomy and Biotechnology, China Agricultural University, 100193, Beijing, China.ORCID 0000-0003-1453-3601
Qingfeng MengCollege of Agronomy and Biotechnology, China Agricultural University, 100193, Beijing, China. mengqf@cau.edu.cn.ORCID 0000-0003-0047-3089
Puyu FengCollege of Land Science and Technology, China Agricultural University, 100193, Beijing, China.ORCID 0000-0003-4845-9876
Ziren QuCollege of Agronomy and Biotechnology, China Agricultural University, 100193, Beijing, China.
Yonghong YuCollege of Agronomy and Biotechnology, China Agricultural University, 100193, Beijing, China.
De Li LiuNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia.ORCID 0000-0003-2574-1908
Christoph MüllerPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, 14412, Potsdam, Germany.ORCID 0000-0002-9491-3550
Pu WangCollege of Agronomy and Biotechnology, China Agricultural University, 100193, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population growth and economic development in China has increased the demand for food and animal feed, raising questions regarding China's future maize production self-sufficiency. Here, we address this challenge by combining data-driven projections with a machine learning method on data from 402 stations, with data from 87 field experiments across China. Current maize yield would be roughly doubled with the implementation of optimal planting density and management. In the 2030 s, we estimate a 52% yield improvement through dense planting and soil improvement under a high-end climate forcing Shared Socio-Economic Pathway (SSP585), compared with a historical climate trend. Based on our results, yield gains from soil improvement outweigh the adverse effects of climate change. This implies that China can be self-sufficient in maize by using current cropping areas. Our results challenge the view of yield stagnation in most global areas and provide an example of how food security can be achieved with optimal crop-soil management under future climate change scenarios.

Indexed as

SoilZea maysAgricultureAnimal FeedChinaClimate ChangeCrop ProductionCrops, AgriculturalSoil

Identifiers

PMID37149677
PMCPMC10164166

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.