Long Qian, Cheng Chen, Xiaohong Chen, Wenzhi Zeng, Yawen Gao, Kenan Deng
{"title":"基于日农业气象指数的湖北省棉花生育期水旱分析","authors":"Long Qian, Cheng Chen, Xiaohong Chen, Wenzhi Zeng, Yawen Gao, Kenan Deng","doi":"10.25165/j.ijabe.20231604.6795","DOIUrl":null,"url":null,"abstract":"Cotton yield is restricted worldwide by flooding and drought that occur across various growth stages. In this study, cotton flooding and drought in Hubei (a major cotton-production province in China) from 1961 to 2019 were analyzed regarding growth stages through a daily index named the standardized antecedent precipitation evapotranspiration index (SAPEI). In addition, the impacts of flooding and drought on cotton climatic yield were quantified using multiple regression models. The results showed that the temporal trends of cotton flooding and drought intensities were generally smooth, except for an obvious downward trend for cotton drought intensity at the flowering and boll-forming stage. Additionally, cotton drought intensity varied more drastically than that of flooding over the years. Cotton-flooding proneness was much greater than cotton-drought proneness at all growth stages, and the most flooding-prone and drought-prone periods were identified as the flowering and boll-forming stage and the budding stage, respectively. In terms of spatial distribution, northeastern Hubei and southwestern Hubei were most prone to flooding and drought, respectively. The SAPEI-based regression model (R2=0.490, p<0.001), obviously outperforming the SPEI-based model (R2=0.278, p<0.05), revealed that both cotton flooding and drought exhibited negatively significant effects on cotton climatic yield and that the yield-reducing effect of cotton flooding was much greater than that of drought. Moreover, when growth stages were further considered using regression analysis, only the flowering and boll-forming stage was detected with a significant yield-reducing effect of cotton flooding. In conclusion, the SAPEI can effectively assist in monitoring cotton flooding and drought; cotton flooding, especially during the flowering and boll-forming stage and that occurring in northeastern Hubei, is the key issue for cotton field water management in Hubei. Keywords: irrigation, drainage, climatic yield, waterlogging DOI: 10.25165/j.ijabe.20231604.6795 Citation: Qian L, Chen C, Chen X H, Zeng W Z, Gao Y W, Deng K N. Cotton flooding and drought analysis regarding growth stages in Hubei, China, using a daily agrometeorological index. Int J Agric & Biol Eng, 2023; 16(4): 174–184.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":2.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cotton flooding and drought analysis regarding growth stages in Hubei, China, using a daily agrometeorological index\",\"authors\":\"Long Qian, Cheng Chen, Xiaohong Chen, Wenzhi Zeng, Yawen Gao, Kenan Deng\",\"doi\":\"10.25165/j.ijabe.20231604.6795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cotton yield is restricted worldwide by flooding and drought that occur across various growth stages. In this study, cotton flooding and drought in Hubei (a major cotton-production province in China) from 1961 to 2019 were analyzed regarding growth stages through a daily index named the standardized antecedent precipitation evapotranspiration index (SAPEI). In addition, the impacts of flooding and drought on cotton climatic yield were quantified using multiple regression models. The results showed that the temporal trends of cotton flooding and drought intensities were generally smooth, except for an obvious downward trend for cotton drought intensity at the flowering and boll-forming stage. Additionally, cotton drought intensity varied more drastically than that of flooding over the years. Cotton-flooding proneness was much greater than cotton-drought proneness at all growth stages, and the most flooding-prone and drought-prone periods were identified as the flowering and boll-forming stage and the budding stage, respectively. In terms of spatial distribution, northeastern Hubei and southwestern Hubei were most prone to flooding and drought, respectively. The SAPEI-based regression model (R2=0.490, p<0.001), obviously outperforming the SPEI-based model (R2=0.278, p<0.05), revealed that both cotton flooding and drought exhibited negatively significant effects on cotton climatic yield and that the yield-reducing effect of cotton flooding was much greater than that of drought. Moreover, when growth stages were further considered using regression analysis, only the flowering and boll-forming stage was detected with a significant yield-reducing effect of cotton flooding. In conclusion, the SAPEI can effectively assist in monitoring cotton flooding and drought; cotton flooding, especially during the flowering and boll-forming stage and that occurring in northeastern Hubei, is the key issue for cotton field water management in Hubei. Keywords: irrigation, drainage, climatic yield, waterlogging DOI: 10.25165/j.ijabe.20231604.6795 Citation: Qian L, Chen C, Chen X H, Zeng W Z, Gao Y W, Deng K N. Cotton flooding and drought analysis regarding growth stages in Hubei, China, using a daily agrometeorological index. 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Cotton flooding and drought analysis regarding growth stages in Hubei, China, using a daily agrometeorological index
Cotton yield is restricted worldwide by flooding and drought that occur across various growth stages. In this study, cotton flooding and drought in Hubei (a major cotton-production province in China) from 1961 to 2019 were analyzed regarding growth stages through a daily index named the standardized antecedent precipitation evapotranspiration index (SAPEI). In addition, the impacts of flooding and drought on cotton climatic yield were quantified using multiple regression models. The results showed that the temporal trends of cotton flooding and drought intensities were generally smooth, except for an obvious downward trend for cotton drought intensity at the flowering and boll-forming stage. Additionally, cotton drought intensity varied more drastically than that of flooding over the years. Cotton-flooding proneness was much greater than cotton-drought proneness at all growth stages, and the most flooding-prone and drought-prone periods were identified as the flowering and boll-forming stage and the budding stage, respectively. In terms of spatial distribution, northeastern Hubei and southwestern Hubei were most prone to flooding and drought, respectively. The SAPEI-based regression model (R2=0.490, p<0.001), obviously outperforming the SPEI-based model (R2=0.278, p<0.05), revealed that both cotton flooding and drought exhibited negatively significant effects on cotton climatic yield and that the yield-reducing effect of cotton flooding was much greater than that of drought. Moreover, when growth stages were further considered using regression analysis, only the flowering and boll-forming stage was detected with a significant yield-reducing effect of cotton flooding. In conclusion, the SAPEI can effectively assist in monitoring cotton flooding and drought; cotton flooding, especially during the flowering and boll-forming stage and that occurring in northeastern Hubei, is the key issue for cotton field water management in Hubei. Keywords: irrigation, drainage, climatic yield, waterlogging DOI: 10.25165/j.ijabe.20231604.6795 Citation: Qian L, Chen C, Chen X H, Zeng W Z, Gao Y W, Deng K N. Cotton flooding and drought analysis regarding growth stages in Hubei, China, using a daily agrometeorological index. Int J Agric & Biol Eng, 2023; 16(4): 174–184.
期刊介绍:
International Journal of Agricultural and Biological Engineering (IJABE, https://www.ijabe.org) is a peer reviewed open access international journal. IJABE, started in 2008, is a joint publication co-sponsored by US-based Association of Agricultural, Biological and Food Engineers (AOCABFE) and China-based Chinese Society of Agricultural Engineering (CSAE). The ISSN 1934-6344 and eISSN 1934-6352 numbers for both print and online IJABE have been registered in US. Now, Int. J. Agric. & Biol. Eng (IJABE) is published in both online and print version by Chinese Academy of Agricultural Engineering.