Water Balance, Bioclimatic Method as a Base of Rational Irrigation Regime of Onion

Pejic, B.; Gvozdanović–Varga, Jelica; Vasić, M.; Milić, Stanko

doi:10.17660/actahortic.2009.830.50

Cited by 1 publication

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“…where n is the number of days in a month and T is the mean daily air temperature in the observed month. The values of the hydrophytothermic indices used for the calculation of the ETc presented in the Table 2 have been collected from literature [80,86,89,90]. The hydrophytothermic indices for beans were not found in literature.…”

Section: Phase Ii-thementioning

confidence: 99%

SPEI-Based Approach to Agricultural Drought Monitoring in Vojvodina Region

Bezdan

Blagojević

et al. 2019

Water

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This paper presents the standardized precipitation evapotranspiration index (SPEI)-based approach to agricultural drought monitoring (ADM-SPEI approach) combining well-known methods, expert’ critical opinions, and local agro-climatic specificities. The proposed approach has been described in detail in three phases. This allows its application in any region and modification according to different agro-climatic conditions. The application of the ADM-SPEI approach has resulted in obtaining a modified SPEI for different crops (agricultural drought SPEI (AD-SPEIcrop)) in the Vojvodina region. In the first phase of the proposed approach, analytical hierarchy process (AHP) was used to obtain an experts’ group decision regarding the most suitable method for calculating evapotranspiration for a particular analyzed region. In the second phase, SPEI was modified and adjusted to the conditions in Vojvodina, where ET0 was replaced by ETc. In the validation phase, the results of the application of AD-SPEIcrop were compared to crop yields and well-known indices and evaluated by the experts’ feedback. The statistically significant correlations were achieved between AD-SPEIcrop and crop yields. The highest correlations were achieved in the months when the analyzed crops were in the developmental stages when they are most sensitive to drought. The AD-SPEIcrop better correlates to the crop yields compared to SPEI. The comparison of AD-SPEIcrop to the standardized precipitation index (SPI), SPEI, and self-calibrated Palmer drought severity index (SC-PDSI) shows that it can successfully detect dry and wet periods. The results have indicated that the proposed approach can be successfully applied, and AD-SPEIcrop has shown a good performance for agricultural drought monitoring.

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Section: Phase Ii-thementioning

confidence: 99%