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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The SWAT model equipped with an improved auto-irrigation function was used to assess the impacts of cultivation practices on irrigated and dryland cotton yield and water conservation in the Texas Panhandle. Results showed the largest irrigation depth led to reductions in irrigation and crop evapotranspiration (ETc) with slightly increased cotton yields compared to the baseline scenarios under different hydroclimatic regimes. However, soil water content and surface runoff values were increased when using the largest irrigation depth. The opposite results were observed for the small irrigation depth. Early planting of cotton resulted in decreased irrigation and ETc, and increased cotton yields under both irrigated and dryland conditions, particularly in normal and wet years. By contrast, the late planting scenarios indicated the opposite for those variables. Simulated hydrologic variables were relatively stable using various maturity cultivars. Nevertheless, greater than 10% reductions in irrigated cotton yield under diverse hydroclimatic years and dryland yields during normal and wet years were identified in the long-season cotton. The opposite was determined for the short-season cotton. These outcomes suggest that a larger irrigation depth, earlier planting date, and short-season cultivar are promising cultivation practices for improving cotton yield and water conservation in the Texas Panhandle.

Details

Title
Modeling Basin-Scale Impacts of Cultivation Practices on Cotton Yield and Water Conservation under Various Hydroclimatic Regimes
Author
Tan, Lili 1 ; Zhang, Yingqi 1 ; Marek, Gary W 2 ; Srinivasulu Ale 3 ; Brauer, David K 2 ; Chen, Yong 1 

 College of Land Science and Technology, China Agricultural University, Beijing 100193, China; [email protected] (L.T.); [email protected] (Y.Z.) 
 USDA-ARS Conservation and Production Research Laboratory, Bushland, TX 79012, USA; [email protected] (G.W.M.); [email protected] (D.K.B.) 
 Texas A&M AgriLife Research and Extension Center at Vernon, Vernon, TX 76384, USA; [email protected] 
First page
17
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20770472
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621247567
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.