Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.2480/agrmet.D-16-00020 |
Characteristics and influencing factors of crop coefficient for drip-irrigated cotton under plastic-mulched condition in arid environment | |
Ai, Zhipin1,2,5; Yang, Yonghui2; Wang, Qinxue1; Manevski, Kiril3,7; Wang, Quan4; Hu, Qiuli2,5; Eer, Deni1; Wang, Jiusheng6 | |
通讯作者 | Yang, Yonghui |
来源期刊 | JOURNAL OF AGRICULTURAL METEOROLOGY
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ISSN | 0021-8588 |
EISSN | 1881-0136 |
出版年 | 2018 |
卷号 | 74期号:1页码:1-8 |
英文摘要 | Crop coefficient (K-c) is a very useful and widely used variable in evapotranspiration estimation in cropland. Traditional methods in calculating K-c are based on field water balance, which is limited by long measurement interval and small study area. In addition, there is the need for K-c under new agronomy practice such as plastic mulching and drip irrigation in arid environments. This study calculated and analyzed K-c of a drip-irrigated and plastic-mulched cotton field in Aksu Oasis of the arid Tarim River Basin, China, and its relationships with several crop-, soil-and management variables such as relative growth days (RGD), leaf area index (LAI), extractable soil water (ESW), and irrigation, based on two years’ observations. The results showed that daily K-c varied within the range of 0.08-1.28, with an average of 0.54 for the entire cotton growth season, in 2013 and 2014. Compared to non-mulched condition already published, the K-c of mulched cotton for the entire growth season decreased by 16 to 39. The largest reductions in Kc due to plastic mulch were found in the initial and developmental growth stage. K-c could be calculated by a third-degree polynomial model in relation to RGD, which was satisfactorily validated and can be used in other studies under the same or similar pedo-climatic and management conditions. Cotton LAI and ESW were found to be important factors influencing K-c, particularly their critical values of 3.0 in LAI and 0.5 for ESW. Moreover, the results showed that irrigation significantly increased K-c, i.e., 29 on average, partly due to arid advection. This study provided up-to-date and detailed information on cotton crop coefficient under plastic mulching and drip irrigation conditions in arid environment, and it is useful for improved management of agricultural water resources. |
英文关键词 | Arid advection Bowen ratio Cotton growth Eddy covariance |
类型 | Article |
语种 | 英语 |
国家 | Japan ; Peoples R China ; Denmark |
收录类别 | SCI-E |
WOS记录号 | WOS:000419963700001 |
WOS关键词 | EDDY COVARIANCE ; EVAPOTRANSPIRATION ; WATER ; MAIZE ; DRAINAGE ; FIELD ; FLUX |
WOS类目 | Agriculture, Multidisciplinary ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Agriculture ; Meteorology & Atmospheric Sciences |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/210427 |
作者单位 | 1.Natl Inst Environm Studies, Ctr Reg Environm Res, Tsukuba, Ibaraki 3058506, Japan; 2.Chinese Acad Sci, Inst Genet & Dev Biol, Ctr Agr Resources Res, Key Lab Agr Water Resources,Hebei Lab Agr Water S, 286 Huaizhong Rd, Shijiazhuang 050021, Hebei, Peoples R China; 3.Aarhus Univ, Dept Agroecol, DK-8830 Tjele, Denmark; 4.Shizuoka Univ, Fac Agr, Shizuoka 4228529, Japan; 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 6.Aler Water Conservancy Bur, Soil & Water Conservat Monitoring Stn, Aler 843300, Peoples R China; 7.Sinodanish Ctr Educ & Res, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Ai, Zhipin,Yang, Yonghui,Wang, Qinxue,et al. Characteristics and influencing factors of crop coefficient for drip-irrigated cotton under plastic-mulched condition in arid environment[J],2018,74(1):1-8. |
APA | Ai, Zhipin.,Yang, Yonghui.,Wang, Qinxue.,Manevski, Kiril.,Wang, Quan.,...&Wang, Jiusheng.(2018).Characteristics and influencing factors of crop coefficient for drip-irrigated cotton under plastic-mulched condition in arid environment.JOURNAL OF AGRICULTURAL METEOROLOGY,74(1),1-8. |
MLA | Ai, Zhipin,et al."Characteristics and influencing factors of crop coefficient for drip-irrigated cotton under plastic-mulched condition in arid environment".JOURNAL OF AGRICULTURAL METEOROLOGY 74.1(2018):1-8. |
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