Evidence map›Paper›PMID 37490483›Full record

ArticlePloS one2023

Timing and intensity of heat and drought stress determine wheat yield losses in Germany.

Ludwig Riedesel, Markus Möller, Peter Horney, Burkhard Golla, Hans-Peter Piepho, Timo Kautz, Til Feike

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

7 authors.

Ludwig RiedeselJulius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Strategies and Technology Assessment, Kleinmachnow, Germany.ORCID 0000-0001-9505-6266
Markus MöllerJulius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, Braunschweig, Germany.
Peter HorneyJulius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Strategies and Technology Assessment, Kleinmachnow, Germany.
Burkhard GollaJulius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Strategies and Technology Assessment, Kleinmachnow, Germany.
Hans-Peter PiephoInstitute of Crop Science, Biostatistics Unit, University of Hohenheim, Stuttgart, Germany.
Timo KautzHumboldt University of Berlin, Thaer-Institute of Agricultural and Horticultural Sciences, Berlin, Germany.
Til FeikeJulius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Strategies and Technology Assessment, Kleinmachnow, Germany.ORCID 0000-0002-1978-9473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop yields are increasingly affected by climate change-induced weather extremes in Germany. However, there is still little knowledge of the specific crop-climate relations and respective heat and drought stress-induced yield losses. Therefore, we configure weather indices (WIs) that differ in the timing and intensity of heat and drought stress in wheat (Triticum aestivum L.). We construct these WIs using gridded weather and phenology time series data from 1995 to 2019 and aggregate them with Germany-wide municipality level on-farm wheat yield data. We statistically analyze the WI's explanatory power and region-specific effect size for wheat yield using linear mixed models. We found the highest explanatory power during the stem elongation and booting phase under moderate drought stress and during the reproductive phase under moderate heat stress. Furthermore, we observed the highest average yield losses due to moderate and extreme heat stress during the reproductive phase. The highest heat and drought stress-induced yield losses were observed in Brandenburg, Saxony-Anhalt, and northern Bavaria, while similar heat and drought stresses cause much lower yield losses in other regions of Germany.

Indexed as

Extreme HeatTriticumClimate ChangeDroughtsGermany

Identifiers

PMID37490483
PMCPMC10368287

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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.