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@article{1842699,
author = {Oleksiak, Tadeusz and Spyroglou, Ioannis and Pacon, Darmara and Matysik, Przemysław and Pernisová, Markéta and Rybka, Krystyna},
article_location = {Madison},
article_number = {2},
doi = {http://dx.doi.org/10.1002/csc2.20690},
keywords = {drought;wheat production;Bayesian linear regression},
language = {eng},
issn = {0011-183X},
journal = {Crop Science},
title = {Effect of drought on wheat production in Poland between 1961 and 2019},
url = {http://acsess.onlinelibrary.wiley.com/doi/10.1002/csc2.20690},
volume = {62},
year = {2022}
}
TY - JOUR
ID - 1842699
AU - Oleksiak, Tadeusz - Spyroglou, Ioannis - Pacon, Darmara - Matysik, Przemysław - Pernisová, Markéta - Rybka, Krystyna
PY - 2022
TI - Effect of drought on wheat production in Poland between 1961 and 2019
JF - Crop Science
VL - 62
IS - 2
SP - 728-743
EP - 728-743
PB - Crop Science Society of America
SN - 0011183X
KW - drought;wheat production;Bayesian linear regression
UR - http://acsess.onlinelibrary.wiley.com/doi/10.1002/csc2.20690
N2 - 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.
ER -
OLEKSIAK, Tadeusz, Ioannis SPYROGLOU, Darmara PACON, Przemysław MATYSIK, Markéta PERNISOVÁ and Krystyna RYBKA. Effect of drought on wheat production in Poland between 1961 and 2019. \textit{Crop Science}. Madison: Crop Science Society of America, 2022, vol.~62, No~2, p.~728-743. ISSN~0011-183X. Available from: https://dx.doi.org/10.1002/csc2.20690.
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