Document Type : Research Paper
Authors
1
MSc Student of Irrigation and Drainage, Water Engineering Department, Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
2
Associate Professor, Water Engineering Department, Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
3
Professor, Water Engineering Department, Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
4
Assistant Professor, Water Engineering Department, Sari Agricultural Sciences and Natural Resources University, Sari, 4818168984, P.O. Box 578, Iran.
Abstract
With the occurrence of climate change, weather parameters such as temperature and precipitation will vary across different regions, and agriculture, being highly dependent on these parameters, is one of the sectors most impacted by climate change. Therefore, selecting appropriate strategies to adapt to these changing conditions is essential. To this end, the use of plant models to assess the impacts of climate change on crop performance becomes significant. In this study, the AquaCrop model was employed to simulate the grain yield of pea plants under future climate conditions, considering various irrigation treatments and different planting dates as an adaptation strategy, in Babol County. The grain yield and biomass of pea plants were simulated for the next three decades for planting dates of October 16, October 23, October 30, November 6, November 13, November 20, and November 27, under future climate scenarios of 126SSP, 245SSP, and 585SSP of Intergovernmental Panel on Climate Change (IPCC) Sixth Report, and three levels of irrigation: 100% (I1), 80% (I2), and 60% (I3). According to the results, the highest pea yield in the decade 2023-2032 was simulated for the I1 treatment under the 585SSP scenario on November 6, yielding 7.2 tons per hectare, while the lowest yield was simulated for the I3 treatment under the same scenario on November 27, yielding 4.1 tons per hectare. In the decade 2033-2042, the highest yield was observed for the I1 treatment under the 585SSP scenario on November 13, yielding 8.4 tons per hectare, and the lowest yield for the I3 treatment under the 245SSP scenario on November 27, yielding 4.4 tons per hectare. In the decade 2043-2052, the highest yield was simulated for the I1 treatment under the 585SSP scenario on November 9, yielding 8.7 tons per hectare, while the lowest yield was observed for the I3 treatment under the 126SSP scenario on October 16, yielding 3.9 tons per hectare. The highest pea biomass in the decade 2023-2032 was simulated for the I1 treatment under the 585SSP scenario on November 13, yielding 17.1 tons per hectare, while the lowest biomass was simulated for the I3 treatment under the same scenario on November 27, yielding 10.3 tons per hectare. In the decade 2033-2042, the highest biomass was simulated for the I1 treatment under the 585SSP scenario on November 20, yielding 20.1 tons per hectare, and the lowest biomass for the I3 treatment under the 245SSP scenario on November 27, yielding 11.1 tons per hectare. Therefore, the optimal planting dates for pea crops in Babol County are October 30, November 6 and 13, under the I1 irrigation treatment, which can help improve crop and irrigation management in this region. Overall, climate change can lead to both increases and decreases in pea yield and biomass, but with proper irrigation management and the selection of optimal planting dates, the likelihood of yield increase is higher.
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