Effect of drought on wheat production in Poland between 1961 and 2019
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F22%3A00125565" target="_blank" >RIV/00216224:14740/22:00125565 - isvavai.cz</a>
Result on the web
<a href="http://acsess.onlinelibrary.wiley.com/doi/10.1002/csc2.20690" target="_blank" >http://acsess.onlinelibrary.wiley.com/doi/10.1002/csc2.20690</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/csc2.20690" target="_blank" >10.1002/csc2.20690</a>
Alternative languages
Result language
angličtina
Original language name
Effect of drought on wheat production in Poland between 1961 and 2019
Original language description
The impact of drought on wheat (Triticum aestivum L.) production is shown, using an example data set of almost 60 yr from six climate-specific regions in Poland. Drought was measured using the standardized precipitation index (SPI) and the hydro-thermal coefficient of Selyaninov (HTC). Yield trends were estimated by Bayesian linear regression over two periods, 1961-1991 and 1992-2019, identified by a changepoint detection method. Bayesian inference is used as it allows the estimation of a credible interval of regression coefficients instead of point estimates and asymptotic confidence intervals, thus comparisons between regression coefficients are more meaningful. We detected an increase in yield in both time periods and in all regions. The average winter wheat yield increased by 97% in the first period and by 35% in the second (19.8-39.1 dt ha(-1) and 32.9-44.5 dt ha(-1), respectively). Spring wheat yield increased by 96% in the first period and by 42% in the second (16.8-37.9 and 22.9-32.5 dt ha(-1), respectively). Yield losses in drought years were estimated using the paired t test to compare mean difference between real yields and yields estimated from regression lines for nondrought years. The highest yield losses due to drought were in regions I (-19.3% spring wheats, -6.3% winter ones) and III (-16.1% spring and -8.3% winter wheats) over the 1992-2019 period.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10600 - Biological sciences
Result continuities
Project
<a href="/en/project/EF16_026%2F0008446" target="_blank" >EF16_026/0008446: Signal integration and epigenetic reprograming for plant productivity</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Crop Science
ISSN
0011-183X
e-ISSN
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Volume of the periodical
62
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
728-743
UT code for WoS article
000751728300001
EID of the result in the Scopus database
2-s2.0-85124462663