J 2022

Effect of drought on wheat production in Poland between 1961 and 2019

OLEKSIAK, Tadeusz, Ioannis SPYROGLOU, Darmara PACON, Przemysław MATYSIK, Markéta PERNISOVÁ et. al.

Základní údaje

Originální název

Effect of drought on wheat production in Poland between 1961 and 2019

Autoři

OLEKSIAK, Tadeusz, Ioannis SPYROGLOU (300 Řecko, domácí), Darmara PACON, Przemysław MATYSIK, Markéta PERNISOVÁ (203 Česká republika, garant, domácí) a Krystyna RYBKA (616 Polsko)

Vydání

Crop Science, Madison, Crop Science Society of America, 2022, 0011-183X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10600 1.6 Biological sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 2.300

Kód RIV

RIV/00216224:14740/22:00125565

Organizační jednotka

Středoevropský technologický institut

UT WoS

000751728300001

Klíčová slova anglicky

drought;wheat production;Bayesian linear regression

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 11. 1. 2023 15:01, Mgr. Pavla Foltynová, Ph.D.

Anotace

V originále

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.

Návaznosti

EF16_026/0008446, projekt VaV
Název: Integrace signálu a epigenetické reprogramování pro produktivitu rostlin