Climate change projections for the Texas High Plains and Rolling Plains

Modala, Naga Raghuveer; Ale, Srinivasulu; Goldberg, Daniel W.; Olivares, Miriam; Munster, C. L.; Rajan, Nithya; Feagin, Rusty A.

doi:10.1007/s00704-016-1773-2

Cited by 49 publications

(21 citation statements)

References 36 publications

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“…With default parameters, the model predicted plant emergence as 8 days after planting (DAP) (results not shown), so the phenology parameter PL-EM in the cultivar file was adjusted to 3 photothermal days to simulate plant emergence as 5 DAP, as measured during the experiment (Modala, 2014). Parameter FL-LF in the cultivar file and parameter FL-VS in the ecotype file were then adjusted to simulate the end of leaf expansion stage and end of node expansion stage, respectively, according to field observations.…”

Section: Calibrationmentioning

confidence: 99%

Evaluation of the CSM-CROPGRO-Cotton Model for the Texas Rolling Plains Region and Simulation of Deficit Irrigation Strategies for Increasing Water Use Efficiency

2015

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Cotton is one of the major crops cultivated in the Texas Rolling Plains region, and it is a major contributor to the regional economy. Cotton cultivation in this region is facing severe challenges due to an increase in the frequency of droughts and a projected decrease in rainfall in the future. Development and evaluation of deficit irrigation strategies for this region could potentially conserve water while maintaining cotton yields. In this study, the Decision Support System for Agrotechnology Transfer (DSSAT) Cropping System Model (CSM) CROPGRO-Cotton was extensively tested and then used for evaluating various deficit irrigation strategies for this region. The model inputs were obtained from field experiments conducted at Chillicothe, Texas, during four growing seasons: 2008-2010 and 2012. The model was first calibrated using the data from a 100% evapotranspiration (ET) replacement irrigation scheduling experiment conducted in 2012 and then validated on three other irrigation scheduling treatments (75% ET replacement, soil moisture based, and tensiometer based) conducted in the same year. The model was further evaluated using the data from cotton tillage and irrigation experiments conducted in an adjacent field during 2008-2010. The model calibration, validation, and evaluation results were satisfactory except under dry conditions (0% ET replacement and 33% ET replacement). Simulated maximum seed cotton yields under normal and dry weather conditions were achieved at 100% and 110% ET replacement, respectively. Percentage decrease in seed cotton yield was marginal (3.5% to 8.8%) when the amount of irrigation water applied was decreased from 100% to 66% ET replacement under normal rainfall conditions. However, under less than normal rainfall (drier) conditions, the percentage decrease in seed cotton yield was substantial (about 17.5%) when the irrigation strategy was switched from 100% to 70% ET replacement. The simulations demonstrate that adopting deficit irrigation practices under normal weather conditions can conserve water without adversely affecting seed cotton yields. However, under dry conditions, there is a risk of increased yield loss, and therefore producers should consider that risk when adopting deficit irrigation strategies.

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Section: Calibrationmentioning

confidence: 99%

Evaluation of the CSM-CROPGRO-Cotton Model for the Texas Rolling Plains Region and Simulation of Deficit Irrigation Strategies for Increasing Water Use Efficiency

2015

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“…The length of the frost-free season, which lasts on average 160-180 days in Poland, depends on local conditions (altitude, landform, land cover, and distance from water bodies). However, given the multiannual and seasonal changes in air temperatures observable in Poland and worldwide (nearly all seasons are warmer), it is certain that these changes will also be reflected in the dates of the first and last frost, and the length of the frost-free season (Yu et al, 2014;Zhang et al, 2014;Modala et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Trends in the frost-free season with parallel circulation and air mass statistics in Poland

Bielec-Bąkowska¹,

Piotrowicz²,

Krępa-Adolf³

2018

Időjárás

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⎯This study describes the regularities in spatial and multiannual variations in the occurrence of last spring frost (LSF), first fall frost (FFF) and the length of the frost-free season (FFS). In the paper, daily minimum and maximum air temperatures recorded at 20 stations in Poland in 1951-2015 and a calendar of synoptic situations were used. It was found that at 75% of the analyzed stations the FFS period grew longer and the changes were statistically significant. Clearly, the longer length of the season is attributable to the earlier LSF dates. The frosts under investigation were recorded most frequently in anticyclonic situations, especially in the presence of an anticyclonic wedge (Ka) and a central anticyclone situation (Ca). LSFs and FFFs were predominantly accompanied by arctic (PA), polar maritime old (PPms), and polar continental (PPk) air masses.

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“…The High Plains Water District (HPWD) set the annual allowable groundwater production rate from non-exempt wells at 460 mm (18 in.). Climate change studies for this region have also projected warmer and drier summers in the future (Adams et al, 1998;Nielsen-Gammon, 2011;Adhikari et al 2016;Modala et al, 2017), which will necessitate more withdrawals of groundwater to meet higher crop evapotranspiration needs. It is therefore essential to develop and adopt efficient irrigation strategies to prolong the usable lifetime of the Ogallala Aquifer and sustain cotton production in this important production region.…”

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Determining Optimum Irrigation Termination Periods for Cotton Production in the Texas High Plains

Ale¹,

Omani²,

Himanshu³

et al. 2020

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HighlightsIrrigation water use efficiency was consistently higher under deficit irrigation as compared to full irrigation.Irrigation water use was always less than the annual allowable pumping limit under deficit irrigation.The first/second week of September was ideal for terminating irrigation under full/deficit irrigation in normal years.Ideal irrigation termination periods in wet/dry years were a week earlier/later than those in normal years.Abstract. Cotton ( L.) production in the Texas High Plains (THP) region relies heavily on irrigation with groundwater from the underlying Ogallala Aquifer. However, rapidly declining groundwater levels in the aquifer and increasing pumping costs pose challenges for sustainability of irrigated cotton production in this region. Adoption of efficient irrigation strategies, such as terminating irrigation at an appropriate time in the growing season, could enable producers to increase irrigation water use efficiency (IWUE) while maintaining desired yield goals. The objective of this study was to determine optimum irrigation termination periods for cotton production in the THP under full and deficit irrigation conditions using the Decision Support System for Agrotechnology Transfer (DSSAT) CROPGRO-Cotton model, which was evaluated in a prior study in the THP using measured data from an IWUE field experiment at Halfway, Texas. The treatment factors in the field experiment included irrigation capacities of 0 mm d-1 (low, L), 3.2 mm d-1 (medium, M), and 6.4 mm d-1 (high, H), applied during the vegetative, reproductive, and maturation growth stages. This study focused on a full irrigation (HHH) treatment and three deficit irrigation (LMH, LHM, and LMM) treatments. Eight irrigation termination dates with a one-week interval between 15 August and 30 September were simulated, and the impact of irrigation termination date on cotton IWUE and seed cotton yield were studied by dividing the 39-year (1978 to 2016) simulation period into dry, normal, and wet years based on the precipitation received from 1 April to the simulated irrigation termination date. Results indicated that the simulated IWUE was consistently higher under the LHM, LMH, and LMM treatments when compared to the HHH treatment. Based on the simulated average seed cotton yield and IWUE, optimum irrigation termination periods for cotton were found to be the first week of September (about 118 days after planting, DAP) for the HHH and LMH treatments and the second week of September (125 DAP) for the LHM and LMM treatments in normal years. In wet years, optimum irrigation termination periods were a week earlier than those in normal years and a week later in dry years for the HHH, LHM, and LMM treatments. For the LMH treatment, the optimum irrigation termination period in wet years was the same as that in normal years and two weeks later in dry years. The results from this study along with field-specific, late-season information will assist THP cotton producers in making appropriate irrigation termination decisions for improving economic productivity of the Ogallala Aquifer and thereby ensuring water security for agriculture. However, the recommendations from this study should be used with caution, as the optimum irrigation termination periods could potentially change with changes in cultivar characteristics, soil type, climate, and, crop management practices. Keywords: CROPGRO-Cotton, Deficit irrigation, DSSAT, Full irrigation, Irrigation water use efficiency, Seed cotton yield.

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Climate change projections for the Texas High Plains and Rolling Plains

Cited by 49 publications

References 36 publications

Evaluation of the CSM-CROPGRO-Cotton Model for the Texas Rolling Plains Region and Simulation of Deficit Irrigation Strategies for Increasing Water Use Efficiency

Evaluation of the CSM-CROPGRO-Cotton Model for the Texas Rolling Plains Region and Simulation of Deficit Irrigation Strategies for Increasing Water Use Efficiency

Trends in the frost-free season with parallel circulation and air mass statistics in Poland

Determining Optimum Irrigation Termination Periods for Cotton Production in the Texas High Plains

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