Evidence map›Paper›PMID 30337571›Full record

ArticleScientific reports2018

In-season performance of European Union wheat forecasts during extreme impacts.

M van der Velde, B Baruth, A Bussay, A Ceglar, S Garcia Condado, S Karetsos, R Lecerf, R Lopez, A Maiorano, L Nisini and 2 more

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

12 authors.

M van der VeldeEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy. marijn.van-der-velde@ec.europa.eu.ORCID http://orcid.org/0000-0002-9103-7081
B BaruthEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.
A BussayEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.
A CeglarEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.
S Garcia CondadoEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.
S KaretsosEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.
R LecerfEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.
R LopezEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.
A MaioranoEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.ORCID http://orcid.org/0000-0002-0497-9303
L NisiniEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.
L SeguiniEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.ORCID http://orcid.org/0000-0003-0118-1328
M van den BergEuropean Commission, Joint Research Centre, Via E. Fermi 2749, 21027, Ispra, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we assess the quality and in-season development of European wheat (Triticum spp.) yield forecasts during low, medium, and high-yielding years. 440 forecasts were evaluated for 75 wheat forecast years from 1993-2013 for 25 European Union (EU) Member States. By July, years with median yields were accurately forecast with errors below ~2%. Yield forecasts in years with low yields were overestimated by ~10%, while yield forecasts in high-yielding years were underestimated by ~8%. Four-fifths of the lowest yields had a drought or hot driver, a third a wet driver, while a quarter had both. Forecast accuracy of high-yielding years improved gradually during the season, and drought-driven yield reductions were anticipated with lead times of ~2 months. Single, contrasting successive in-season, as well as spatially distant dry and wet extreme synoptic weather systems affected multiple-countries in 2003, '06, '07, '11 and 12', leading to wheat losses up to 8.1 Mt (>40% of total EU loss). In these years, June forecasts (~ 1-month lead-time) underestimated these impacts by 10.4 to 78.4%. To cope with increasingly unprecedented impacts, near-real-time information fusion needs to underpin operational crop yield forecasting to benefit from improved crop modelling, more detailed and frequent earth observations, and faster computation.

Indexed as

Crops, AgriculturalEuropean UnionSeasonsDroughtsExtreme HeatForecastingHumansModels, StatisticalPredictive Value of TestsRainTriticumWeather

Identifiers

PMID30337571
PMCPMC6194012

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.