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ARS Home » Southeast Area » Mississippi State, Mississippi » Crop Science Research Laboratory » Genetics and Sustainable Agriculture Research » Research » Publications at this Location » Publication #335602

Title: Rain water deficit and irrigation demand of major row crops in the Mississippi Delta

Author
item TANG, QUING - Chinese Academy Of Agricultural Sciences
item Feng, Gary
item Fisher, Daniel
item Zhang, Huihui
item OUYANG, YING - Us Forest Service (FS)
item Adeli, Ardeshir
item Jenkins, Johnie

Submitted to: American Society of Agricultural and Biological Engineers
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 8/30/2017
Publication Date: 12/30/2017
Citation: Tang, Q., Feng, G.G., Fisher, D.K., Zhang, H., Ouyang, Y., Adeli, A., Jenkins, J.N. 2017. Rain water deficit and irrigation demand of major row crops in the Mississippi Delta. American Society of Agricultural and Biological Engineers. 61(3):927-935.

Interpretive Summary: The Mississippi Delta is an important agricultural area, producing 67% of the soybean, corn, and cotton grown in the state of Mississippi. Because irrigation can stabilize and increase crop yields and economic returns, approximately 80% of the water withdrawn from the alluvial aquifer is used for irrigation. This region is experiencing severe declines in groundwater level, which threaten the sustainability of irrigated agriculture. Therefore, better irrigation management practices must be developed, but there is lack of knowledge regarding crop water requirements, rain water deficits, and irrigation demand to improve rain and irrigation water use efficiencies of these crops. The objective of this study was to determine the crop water requirements, rain water deficits, and irrigation demand of the three crops using the RZWQM2 model based on a 100-year representative weather data series from the Stoneville weather station for improving irrigation management in the Mississippi Delta. The analysis indicated that mean monthly precipitation in the crop non-growing season from November to the following April was 127 mm, while only 82 mm on average was received during the crop growing season. Soybean, corn, and cotton are typically planted in early May, late March, and late May and harvested in mid-September, late August, and late October, respectively. Rainfall during the growing seasons for soybean, corn, and cotton was 400, 510, and 435 mm and accounted for 31%, 40%, and 34% of annual rainfall, respectively, over the 100-year period. Early seeding can allow crops to receive more early season rainfall and reduce the number of days of water stress during the growing season. Average crop evapotranspiration of soybean, corn, and cotton was 546, 588, and 552 mm, respectively. Rainfall was found to be insufficient to meet the crop water requirements beginning in the 5th, 7th, and 6th weeks after planting. Weekly effective rain water deficits greater than 20 mm were found in weeks 7 through 16 (22 to 29 mm) for soybean, in weeks 11 through 20 (20 to 26 mm) for corn, and in weeks 11 through 16 (20 to 30 mm) for cotton. The RZWQM2 model estimated a range of annual effective rain water deficits in soybean of 0 to 622 mm, with an average deficit of 340 mm. Deficits in corn ranged from 32 to 685 mm, with an average deficit of 355 mm, while deficits in cotton ranged from 169 to 650 mm, with an average deficit of 395 mm. Results obtained from the 100-year historical weather data can be applied to improve irrigation scheduling, water resources planning, and design of irrigation and cropping systems in the Mississippi Delta.

Technical Abstract: The Mississippi Delta is an important agricultural area, producing 67% of the soybean, corn, and cotton grown in the state of Mississippi. Because irrigation can stabilize and increase crop yields and economic returns, approximately 80% of the water withdrawn from the alluvial aquifer is used for irrigation. This region is experiencing severe declines in groundwater level, which threaten the sustainability of irrigated agriculture. Therefore, better irrigation management practices must be developed, but there is lack of knowledge regarding crop water requirements, rain water deficits, and irrigation demand to improve rain and irrigation water use efficiencies of these crops. The objective of this study was to determine the crop water requirements, rain water deficits, and irrigation demand of the three crops using the RZWQM2 model based on a 100-year representative weather data series from the Stoneville weather station for improving irrigation management in the Mississippi Delta. The analysis indicated that mean monthly precipitation in the crop non-growing season from November to the following April was 127 mm, while only 82 mm on average was received during the crop growing season. Soybean, corn, and cotton are typically planted in early May, late March, and late May and harvested in mid-September, late August, and late October, respectively. Rainfall during the growing seasons for soybean, corn, and cotton was 400, 510, and 435 mm and accounted for 31%, 40%, and 34% of annual rainfall, respectively, over the 100-year period. Early seeding can allow crops to receive more early season rainfall and reduce the number of days of water stress during the growing season. Average crop evapotranspiration of soybean, corn, and cotton was 546, 588, and 552 mm, respectively. Rainfall was found to be insufficient to meet the crop water requirements beginning in the 5th, 7th, and 6th weeks after planting. Weekly effective rain water deficits greater than 20 mm were found in weeks 7 through 16 (22 to 29 mm) for soybean, in weeks 11 through 20 (20 to 26 mm) for corn, and in weeks 11 through 16 (20 to 30 mm) for cotton. The RZWQM2 model estimated a range of annual effective rain water deficits in soybean of 0 to 622 mm, with an average deficit of 340 mm. Deficits in corn ranged from 32 to 685 mm, with an average deficit of 355 mm, while deficits in cotton ranged from 169 to 650 mm, with an average deficit of 395 mm. Results obtained from the 100-year historical weather data can be applied to improve irrigation scheduling, water resources planning, and design of irrigation and cropping systems in the Mississippi Delta.