Simulated efficient growth-stage-based deficit irrigation strategies for maximizing cotton yield, crop water productivity and net returns

Authors: HIMANSHU, SUSHIL - Texas A&M Agrilife; FAN, YUBING - Texas A&M Agrilife; ALE, SRINIVASULU - Texas A&M Agrilife; BORDOVSKY, JAMES - Texas A&M Agrilife

Submitted to: Agricultural Water Management
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 2/27/2021
Publication Date: 5/1/2021
Citation: Himanshu, S.K., Fan, Y., Ale, S., Bordovsky, J. 2021. Simulated efficient growth-stage-based deficit irrigation strategies for maximizing cotton yield, crop water productivity and net returns. Agricultural Water Management. 250. Article 106840. https://doi.org/10.1016/j.agwat.2021.106840.
DOI: https://doi.org/10.1016/j.agwat.2021.106840

Interpretive Summary: Declining water levels in the southern Ogallala Aquifer are causing a reduction in irrigation capacities and increased pumping costs in the Texas High Plains (THP) region. One adaptation is deficit/limited irrigation practices for sustaining cotton production. Working in a project funded by the USDA ARS Ogallala Aquifer Program, researchers with Texas A&M AgriLife evaluated the response of cotton to water stress caused by limiting irrigation at three different growth stages. They used a cotton growth model to determine efficient growth-stage-based deficit irrigation schedules for maximizing yield, crop water productivity (CWP) and economic returns. They found that skipping irrigation during the peak bloom growth stage resulted in the most reduced yield, CWP and net returns. They found that skipping irrigation during the seedling emergence/germination stage was identified as the most efficient irrigation strategy for maximizing yield, CWP and net returns among all irrigation scenarios.

Technical Abstract: Declining water levels in the southern Ogallala Aquifer and associated reduction in irrigation capacities and increasing pumping costs necessitate adoption of deficit/limited irrigation practices for sustaining cotton production in the Texas High Plains (THP) region. The overall goal of this study was to evaluate the response of cotton crop to water stress in different growth stages and suggest efficient growth-stage-based deficit (GSBD) irrigation schedules for maximizing yield, crop water productivity (CWP) and economic returns under contrasting weather conditions using the CROPGRO-Cotton model. Five growth stages including seedling emergence/germination, squaring, early bloom/flower initiation, peak bloom, and boll opening/late bloom were considered. A combination of five irrigation scenarios (S1 through S5 with seasonal irrigation amounts of 240, 300, 360, 420 and 480 mm) and six irrigation treatments (T1 through T5: no irrigation in one of the five growth stages, and T6: irrigation applied in all five growth stages) were then simulated with a center pivot irrigation system. Skipping irrigation during the peak bloom growth stage (T4 treatment) resulted in the lowest yield, CWP and net returns under all weather conditions. The T1 irrigation treatment in which irrigation was skipped during the seedling emergence/germination stage was identified as the most efficient irrigation strategy for maximizing yield, CWP and net returns among all irrigation scenarios. Application of more than 360, 420 and 480 mm of irrigation water in wet, normal and dry years, respectively, did not significantly improve yield or net returns, and resulted in a decrease in CWP. These results imply that cotton responses to water deficit vary by growth stages, and adoption of appropriate GSBD irrigation strategies could optimize the use of limited water resources and extend the life of the southern Ogallala Aquifer.