Assessing the capacity of agricultural research and development to increase the stability of global crop yields under climate change.
Clicks: 74
ID: 282029
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Star Article
21.9
/100
74 views
17 readers
AI Quality Assessment
Not analyzed
Readership in this journal
StarRanked #2 of 99 articles by views in PNAS nexus
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Agricultural research and development (R&D) has increased crop yields, but little is known about its ability to increase yield stability in the context of increasingly frequent extreme weather events. Using a grid yield dataset, we show that from 2000 to 2019, the SD of yield anomalies for maize, rice, wheat, and soybean increased in 20% of the global harvested area. Based on random forest models relating yield anomaly to climate, soil, management, and public R&D expenditure, we show that cumulative agricultural R&D expenditure, proportion of growing season exposed to optimal hourly temperatures, and dry and very wet days are key factors explaining crop yield variability. An attribution analysis based on large ensemble climate simulations with and without human influence on the global climate shows that unfavorable agroclimatic conditions due to climate change has increased SD, while higher R&D expenditure has led to more contrasting trends in SD over 2000-2019. Although R&D has continued steadily in most countries, this study indicates that the progress made in R&D since 2000 may have lagged behind the unfavorable effect of climate change on yield variability.
| Reference Key |
iizumi2025assessing
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Iizumi, Toshichika; Sakai, Toru; Masaki, Yoshimitsu; Oyoshi, Kei; Takimoto, Takahiro; Shiogama, Hideo; Imada, Yukiko; Makowski, David |
| Journal | PNAS nexus |
| Year | 2025 |
| DOI |
10.1093/pnasnexus/pgaf099
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.