Better Drought Index between SPEI and SMDI and the Key Parameters in Denoting Drought Impacts on Spring Wheat Yields in Qinghai, China
Drought has great negative impacts on crop growth and production. In order to select appropriate drought indices to quantify drought influences on crops to minimize the risk of drought-related crops as much as possible, climate and spring wheat yield-related data from eight sites in the Qinghai Prov...
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MDPI AG
2022-06-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/12/7/1552 |
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| author | Miaolei Hou Ning Yao Yi Li Fenggui Liu Asim Biswas Alim Pulatov Ishtiaq Hassan |
| author_facet | Miaolei Hou Ning Yao Yi Li Fenggui Liu Asim Biswas Alim Pulatov Ishtiaq Hassan |
| author_sort | Miaolei Hou |
| collection | DOAJ |
| description | Drought has great negative impacts on crop growth and production. In order to select appropriate drought indices to quantify drought influences on crops to minimize the risk of drought-related crops as much as possible, climate and spring wheat yield-related data from eight sites in the Qinghai Province of China were collected for selecting better drought index between standardized precipitation evapotranspiration index (SPEI, denoting meteorological drought) and soil moisture deficit index (SMDI, denoting agricultural drought) as well as the key parameters (timescale and month) in denoting drought impacts on spring wheat yields. The spring wheat yields during 1961–2018 were simulated by the DSSAT–CERES–Wheat model. Pearson correlations were used to investigate the relationship between SPEI and SMDI and between spring wheat yields and drought indices at different timescales. The results showed that: (1) SMDI reflected more consistent dry/wet conditions than SPEI when the timescales changed and (2) There were one- and two-month lags in SMDI compared to SPEI (with the higher correlation coefficients values of 0.35–0.68) during May to August and (3) May (the jointing period of spring wheat) and the two-month timescale of SMDI<sub>0–10</sub> (with the higher correlation coefficients values of 0.21–0.37) were key parameters denoting drought influences on spring wheat yield and (4) The correlations between the linear slopes of spring wheat yield reduction rate and linear slopes of SMDI<sub>0–10</sub> in May at the studied eight sites were considerable between 1961–2018 (<i>r</i> = 0.85). This study provides helpful references for mitigating the drought risk of spring wheat. |
| first_indexed | 2024-03-09T10:24:19Z |
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| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-09T10:24:19Z |
| publishDate | 2022-06-01 |
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| series | Agronomy |
| spelling | doaj.art-7fa2b195cddb44189fd9faba6a2adffb2023-12-01T21:47:02ZengMDPI AGAgronomy2073-43952022-06-01127155210.3390/agronomy12071552Better Drought Index between SPEI and SMDI and the Key Parameters in Denoting Drought Impacts on Spring Wheat Yields in Qinghai, ChinaMiaolei Hou0Ning Yao1Yi Li2Fenggui Liu3Asim Biswas4Alim Pulatov5Ishtiaq Hassan6Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, College of Water Resources and Architectural Engineering, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaKey Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, College of Water Resources and Architectural Engineering, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaKey Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, College of Water Resources and Architectural Engineering, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaAcademy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810016, ChinaSchool of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, CanadaTashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Qoriy Niyoziy 39, Tashkent 100000, UzbekistanDepartment of Civil Engineering, Capital University of Science and Technology (CUST), Islamabad 44000, PakistanDrought has great negative impacts on crop growth and production. In order to select appropriate drought indices to quantify drought influences on crops to minimize the risk of drought-related crops as much as possible, climate and spring wheat yield-related data from eight sites in the Qinghai Province of China were collected for selecting better drought index between standardized precipitation evapotranspiration index (SPEI, denoting meteorological drought) and soil moisture deficit index (SMDI, denoting agricultural drought) as well as the key parameters (timescale and month) in denoting drought impacts on spring wheat yields. The spring wheat yields during 1961–2018 were simulated by the DSSAT–CERES–Wheat model. Pearson correlations were used to investigate the relationship between SPEI and SMDI and between spring wheat yields and drought indices at different timescales. The results showed that: (1) SMDI reflected more consistent dry/wet conditions than SPEI when the timescales changed and (2) There were one- and two-month lags in SMDI compared to SPEI (with the higher correlation coefficients values of 0.35–0.68) during May to August and (3) May (the jointing period of spring wheat) and the two-month timescale of SMDI<sub>0–10</sub> (with the higher correlation coefficients values of 0.21–0.37) were key parameters denoting drought influences on spring wheat yield and (4) The correlations between the linear slopes of spring wheat yield reduction rate and linear slopes of SMDI<sub>0–10</sub> in May at the studied eight sites were considerable between 1961–2018 (<i>r</i> = 0.85). This study provides helpful references for mitigating the drought risk of spring wheat.https://www.mdpi.com/2073-4395/12/7/1552soil moisture deficit indexstandardized precipitation evapotranspiration indexPearson correlationDSSAT–CERES–wheat modelspring wheat |
| spellingShingle | Miaolei Hou Ning Yao Yi Li Fenggui Liu Asim Biswas Alim Pulatov Ishtiaq Hassan Better Drought Index between SPEI and SMDI and the Key Parameters in Denoting Drought Impacts on Spring Wheat Yields in Qinghai, China Agronomy soil moisture deficit index standardized precipitation evapotranspiration index Pearson correlation DSSAT–CERES–wheat model spring wheat |
| title | Better Drought Index between SPEI and SMDI and the Key Parameters in Denoting Drought Impacts on Spring Wheat Yields in Qinghai, China |
| title_full | Better Drought Index between SPEI and SMDI and the Key Parameters in Denoting Drought Impacts on Spring Wheat Yields in Qinghai, China |
| title_fullStr | Better Drought Index between SPEI and SMDI and the Key Parameters in Denoting Drought Impacts on Spring Wheat Yields in Qinghai, China |
| title_full_unstemmed | Better Drought Index between SPEI and SMDI and the Key Parameters in Denoting Drought Impacts on Spring Wheat Yields in Qinghai, China |
| title_short | Better Drought Index between SPEI and SMDI and the Key Parameters in Denoting Drought Impacts on Spring Wheat Yields in Qinghai, China |
| title_sort | better drought index between spei and smdi and the key parameters in denoting drought impacts on spring wheat yields in qinghai china |
| topic | soil moisture deficit index standardized precipitation evapotranspiration index Pearson correlation DSSAT–CERES–wheat model spring wheat |
| url | https://www.mdpi.com/2073-4395/12/7/1552 |
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