Recent global warming and more frequent droughts are causing significant damage to maize production. A reliable estimate of drought intensity and duration is essential for testing maize hybrids to drought tolerance. For this purpose, the self-calibrating 10-day palmer drought severity index (scPDSI) and standardized precipitation index (SPI) for 1, 2, 3, 6, 9, 18, 27, and 36 10-day scales were used to estimate the effects of drought on grain yield of 32 maize hybrids evaluated in 2017 and 2018 at eight experimental locations in the Pannonian part of Croatia. Time series of observed 10-day mean air temperature, relative humidity, and precipitation totals for a set of “reference” weather stations of the croatian meteorological and hydrological service (DHMZ) for the period 1981–2018 were used to calculate the scPDSI and SPI indices. According to the 10-day scPDSI and SPI for different time scales, 2018 proved to be a “normal year,” while 2017 experienced a “mild to moderate drought,” which resulted in a 13% reduction in maize grain yield at eight experimental locations compared to 2018. The correlation between grain yield and drought indices for summer months was the highest for the 10-day scPDSI. To some extent, correlations between summer months’ SPI for the 3 10-day time scale and maize grain yield were comparable to the corresponding correlations for the 10-day scPDSI. However, for other SPI time scales considered, the corresponding correlations were weaker and less informative. The dependence of grain yield on scPDSI values was not the same for all hybrids, indicating their different tolerance to drought. The reduction in grain yield due to drought was primarily caused by insufficient grain filling (lower 1000-grain weight) and, to some extent, by a reduction in the number of grains. In this study, application of 10-day scPDSI data proved to be more relevant in detecting effects of drought on agronomic traits than application of SPI data for the most time scales.
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排序方式： 共有5条查询结果，搜索用时 453 毫秒
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K. Pandžić I. Šimunić F. Tomić S. Husnjak T. Likso D. Petošić 《Theoretical and Applied Climatology》2006,85(1-2):107-115
Summary This paper presents an the evaluation of three mathematical models for the estimation of 10-day drain discharge using weather, pedological and phenological parameters. One model uses modified Palmer’s procedure for the calculation of
water balance components and the second two use empirical multiple linear regression. The models have been applied to data
of an amelioration experimental field in central Croatia (south-western part of the Pannonian Lowland), where a set of average
10-day air temperature and relative humidity data, average wind speed, cumulative precipitation and drain discharge amounts,
insolation and soil moisture data and vegetation indices have been collected. The experiment has been performed during the
period 1990–1992. The models have been tested by comparing estimated and observed 10-day drain discharge amounts. All models
mainly give acceptable cumulative results although their accuracy depends on the season. 相似文献
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Vertical wind and air temperature profile related parameters in the surface layer at the edge of suburban area of Zagreb (Croatia) have been considered. For that purpose, adopted Monin–Obukhov similarity theory and a set of observations of wind and air temperature at 2 and 10?m above ground, recorded in 2005, have been used. The root mean square differences (errors) principle has been used as a tool to estimate the effective roughness length as well as standard deviations of wind speed and wind gusts. The results of estimation are effective roughness lengths dependent on eight wind direction sectors unknown before. Gratefully to that achievement, representativeness of wind data at standard 10-m height can be clarified more deeply for an area of at least about 1?km in upwind direction from the observation site. Extrapolation of wind data for lower or higher levels from standard 10-m height are thus properly representative for a wider inhomogeneous suburban area and can be used as such in numerical models, flux and wind energy estimation, civil engineering, air pollution and climatological applications. 相似文献
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Pandžić Krešo Likso Tanja Pejić Ivan Šarčević Hrvoje Pecina Marija Šestak Ivana Tomšić Davor Strelec Mahović Nataša 《Natural Hazards》2022,113(2):1237-1262
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T. Likso 《Theoretical and Applied Climatology》2006,85(3-4):217-225
Summary The possibility of estimating air temperature at 5 cm above grassland is examined using an empirical, as well as a theoretical
approach. For this purpose, hourly data (air temperature, cloudiness, air pressure and wind speed) at the Zagreb-Maksimir
Observatory (Croatia) for the period June–August 1975 have been used. A clustering procedure has been applied to form groups
of days having similar diurnal variations in air temperature difference between 5 cm and 2 m. This procedure has identified,
three groups of similar days (types). The air temperature at 5 cm above grassland has been estimated using multiple regression
and a method which is based on the Monin–Obukhov similarity theory. The results obtained are more accurate for near-neutral
stability conditions, i.e. during cloudy weather (Type 1), and the least accurate in the case of a clear sky (Type 3). Through
clustering, systematic errors have been discovered in these approaches, which are briefly discussed. 相似文献
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