Article in Nature food, 2026. 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.
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
22 authors.
Quanbo Zhao *Institute of Carbon Neutrality, Sino-French Institute for Earth System Sciences, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-9396-6530
Chenzhi Wang *Institute of Carbon Neutrality, Sino-French Institute for Earth System Sciences, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-1756-4887
Xuhui WangInstitute of Carbon Neutrality, Sino-French Institute for Earth System Sciences, College of Urban and Environmental Sciences, Peking University, Beijing, China. xuhui.wang@pku.edu.cn.ORCID http://orcid.org/0000-0003-0818-9816
Liangliang ZhangInstitute of Carbon Neutrality, Sino-French Institute for Earth System Sciences, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Xiangyi LiInstitute of Carbon Neutrality, Sino-French Institute for Earth System Sciences, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-7639-7089
Yuxing SangInstitute of Carbon Neutrality, Sino-French Institute for Earth System Sciences, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-0345-3788
Gang ZhaoState Key Laboratory of Soil and Water Conservation and Desertification Control, College of Soil and Water Conservation Science and Engineering, Northwest A&F University, Yangling, China.
Christian FolberthBiodiversity and Natural Resources Program, International Institute for Applied Systems Analysis, Laxenburg, Austria.ORCID http://orcid.org/0000-0002-6738-5238
Wenfeng LiuState Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0002-8699-3677
Hui GuoInstitute of Carbon Neutrality, Sino-French Institute for Earth System Sciences, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Yao ZhangInstitute of Carbon Neutrality, Sino-French Institute for Earth System Sciences, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-7468-2409
Yu JiangJiangsu Collaborative Innovation Center for Modern Crop Production/Key Laboratory of Crop Physiology and Ecology in Southern China, College of Agriculture, Nanjing Agricultural University, Nanjing, China.ORCID http://orcid.org/0000-0003-1414-8594
Feng ZhouInstitute of Carbon Neutrality, Sino-French Institute for Earth System Sciences, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-6122-0611
Shilong PiaoInstitute of Carbon Neutrality, Sino-French Institute for Earth System Sciences, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-8057-2292
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Exposure to extreme high temperatures is a major constraint on global crop productivity, yet most large-scale assessments rely on fixed temperature thresholds that overlook regional variation in genetics, environment and management. Consequently, the temperature thresholds at which heat exposure begins to cause substantial yield loss and their spatial variability remain unclear. Here we compiled subnational yield census over Northern Hemisphere (20° N-55° N) and analysed the extreme degree days (EDDs) to estimate a data-driven critical threshold (EDD
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 Socratic graph.
Temperature thresholds of extreme heat-induced yield loss in maize and soybean reveal geographic heterogeneity across the Northern Hemisphere. · full record | Socratic