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  • 1
    In: Field Crops Research, Elsevier BV, Vol. 271 ( 2021-09), p. 108261-
    Type of Medium: Online Resource
    ISSN: 0378-4290
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2012484-3
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  • 2
    Online Resource
    Online Resource
    American Society of Agricultural and Biological Engineers (ASABE) ; 2020
    In:  Transactions of the ASABE Vol. 63, No. 1 ( 2020), p. 81-94
    In: Transactions of the ASABE, American Society of Agricultural and Biological Engineers (ASABE), Vol. 63, No. 1 ( 2020), p. 81-94
    Abstract: Highlights Irrigated grain sorghum yield and irrigation water use decreased under climate change. Increase in growing season temperature beyond 26°C resulted in a sharp decline in grain sorghum yield. Irrigating during early reproductive stages resulted in the most efficient use of limited water. Irrigating to replenish soil water to 80% of field capacity was found suitable for both current and future climates. Groundwater overdraft from the Ogallala Aquifer for irrigation use and anticipated climate change impacts pose major threats to the sustainability of agriculture in the Texas High Plains (THP) region. In this study, the DSSAT-CSM-CERES-Sorghum model was used to simulate climate change impacts on grain sorghum production under full and deficit irrigation strategies and suggest optimal deficit irrigation strategies. Two irrigation strategies were designed based on (1) crop growth stage and (2) soil water deficit. For the first strategy, seven deficit irrigation scenarios and one full irrigation scenario were simulated: three scenarios with a single 100 mm irrigation scheduled between panicle initiation and boot (T1), between boot and early grain filling (T2), and between early and late grain filling (T3) growth stages; three 200 mm irrigation treatments with combinations of T1 and T2 (T4), T1 and T3 (T5), and T2 and T3 (T6); one 300 mm irrigation scenario (T7) that was a combination of T1, T2, and T3; and a full irrigation scenario (T8) in which irrigation was applied throughout the growing season to maintain at least 50% of plant-available water in the top 30 cm soil profile. For the second strategy, the irrigation schedule obtained from auto-irrigation (T8) was mimicked to create a full irrigation scenario (I100) and six deficit irrigation scenarios. In the deficit irrigation scenarios, water was applied on the same dates as scenario I100; however, the irrigation amounts of scenario I100 were reduced by 10%, 20%, 30%, 40%, 50%, and 60% to create deficit irrigation scenarios I90, I80, I70, I60, I50, and I40, respectively. Projected climate forcings were drawn from nine global climate models (GCMs) and two representative concentration pathways (RCP 4.5 and RCP 8.5). Climate change analysis indicated that grain sorghum yield under full irrigation was expected to be reduced by 5% by mid-century (2036 to 2065) and by 15% by late-century (2066 to 2095) under RCP 8.5 compared to the baseline period (1976 to 2005). Simulated future irrigation water demand of grain sorghum was reduced due to the shorter growing season and improved dry matter- and yield-transpiration productivity, likely due to CO 2 fertilization. Based on the simulated grain sorghum yield and irrigation water use efficiency, the most efficient use of limited irrigation was achieved by applying irrigation during the early reproductive stages of grain sorghum (panicle initiation through early grain filling). A 20% deficit irrigation scenario was found to be optimal for current and future conditions because it was more water use efficient than full irrigation with a minor yield reduction of & lt;11%. In summary, these results indicated that strategic planning of when and how much to irrigate could help in getting the most out of limited irrigation. Keywords: CERES-Sorghum, Critical growth stages, Crop yield, Global climate model, Irrigation demand, Soil water depletion.
    Type of Medium: Online Resource
    ISSN: 2151-0040
    Language: English
    Publisher: American Society of Agricultural and Biological Engineers (ASABE)
    Publication Date: 2020
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  • 3
    In: Agricultural Water Management, Elsevier BV, Vol. 164 ( 2016-01), p. 317-330
    Type of Medium: Online Resource
    ISSN: 0378-3774
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 2012450-8
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  • 4
    In: European Journal of Agronomy, Elsevier BV, Vol. 117 ( 2020-07), p. 126037-
    Type of Medium: Online Resource
    ISSN: 1161-0301
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 2016158-X
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  • 5
    In: Frontiers in Sustainable Food Systems, Frontiers Media SA, Vol. 4 ( 2021-2-9)
    Abstract: In the Texas High Plains (THP), diminishing irrigation well-capacities, and increasing costs of energy and equipment associated with groundwater extraction and application are contributing factors to a transition from irrigated to dryland agriculture. The primary goal of this modeling exercise was to investigate whether and to what extent hypothetical changes in factors putatively associated with soil health would affect dryland cotton ( Gossypium hirsutum L.) yields. The factors selected were drainage, surface runoff, soil water holding capacity, soil organic carbon (SOC) and albedo. As a first analysis to evaluate these factors, we used the CROPGRO-Cotton module within the Decision Support System for Agrotechnology Transfer (DSSAT) cropping system model. Specifically, we evaluated the effects of reduced surface runoff, increased soil water holding capacity, and SOC, doubling of the soil albedo through stubble mulching, and of soil drainage by enhancing infiltration with no-tillage/cover crops on yield by adjusting related soil properties. In our analysis, we used mean yields simulated with soil properties of a Pullman clay loam soil at Halfway, TX on the THP as baseline, which were compared to values obtained with the adjusted factors using weather data from 2005 to 2019. Simulated mean yield increased by 27% when the soil water holding capacity was increased by 25 mm, 7% when the runoff curve number was decreased from 73 to 60, 16% when soil albedo was increased from 0.2 to 0.4, and by 58% when the soil drainage factor (fraction day −1 ) was doubled from 0.2. No significant statistical change in simulated mean yield was calculated when SOC was increased by 1%. Further, effects of a 50 mm pre-plant irrigation were also assessed, simulating limited irrigation in the transition to dryland agriculture that resulted in a statistically insignificant 12% increase in seed-cotton yield. Simultaneous implementation of the four statistically significant individual scenarios (increased water holding capacity, infiltration, albedo, and drainage) resulted in the highest increase (93%) in mean seed-cotton yield. An economic and risk analysis of simulated yields under different scenarios indicated that these factors could reduce revenue risk for dryland cotton producers, with most of the effect from soil drainage improvements.
    Type of Medium: Online Resource
    ISSN: 2571-581X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2928540-9
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  • 6
    In: Agricultural Water Management, Elsevier BV, Vol. 280 ( 2023-04), p. 108222-
    Type of Medium: Online Resource
    ISSN: 0378-3774
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2012450-8
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  • 7
    Online Resource
    Online Resource
    Wiley ; 2018
    In:  Agronomy Journal Vol. 110, No. 3 ( 2018-05), p. 922-931
    In: Agronomy Journal, Wiley, Vol. 110, No. 3 ( 2018-05), p. 922-931
    Abstract: Timing of water deficit stress affects boll production. Stress timing influences fiber quality. Multiple timings of water deficit stress interact. Decreased aquifer water in the Texas High Plains has increased the risks associated with irrigation, including lower irrigation volume and the need to balance seasonal water demands among crops, requiring management of both irrigation rate and timing. Boll distribution measurements in cotton ( Gossypium hirsutum L.) can be used to quantify the effects of irrigation on productivity and were used in a study of irrigation rate × timing from 2011 to 2013 in Halfway, TX. Field experiments quantified cotton boll distribution using three in‐season irrigation levels (maximums of 0 , 3.2 , and 6.4 mm d −1 ) during three different irrigation periods determined by accumulated growing degree days (GDD) based on the threshold of 15.6°C: period 1 (P1, 〈 525 GDD), period 2 (P2, 525–750 GDD), and period 3 (P3, 〉 750 GDD). Combinations of these factors resulted in 27 irrigation treatments, applied with a low energy precision application (LEPA) pivot. Heavy irrigation early in the growing season used more water, did not increase boll number, and was often detrimental to yield. Mid‐ and late‐season irrigation improved yield and fiber quality, with P2 irrigation influencing yield in the middle of the plant and P3 irrigation controlling yield at the top of the plant. Moderate irrigation later in the season minimized effects of short‐term water deficit observed in other similar studies. These results provide insight into optimizing cotton water use in a region with declining crop water availability, increased pumping restrictions, and a challenging climate.
    Type of Medium: Online Resource
    ISSN: 0002-1962 , 1435-0645
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 1471598-3
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  • 8
    In: Agronomy Journal, Wiley, Vol. 102, No. 3 ( 2010-05), p. 1032-1036
    Abstract: Cotton ( Gossypium hirsutum L.) lint yield is integrated through whole‐plant and within‐boll yield components. Crop management practices such as irrigation and plant density may impact yield. Thus, yield dynamics due to irrigation and plant density may result from changes in the most basic yield components. This study investigated how within‐boll yield components are altered through irrigation and plant densities. Field experiments were conducted at the Agricultural Complex for Advanced Research and Extension Systems in Lamesa, TX in 2006 and 2007. Two contemporary cotton cultivars were arranged in a split‐split plot design with irrigation rate as the main plot, cultivar as the subplot, and plant density as the subsubplot. Plants from 3 m of one row were removed from each plot and hand harvested by fruiting position. Then first fruiting position bolls from nodes 9 and 14 had their seeds separated by locule position. Seed number, mass and surface area, and lint mass and fiber number for each seed position were recorded. Individual seed surface area and mass increased as irrigation increased and plant density decreased. Seeds per locule increased with increased irrigation and decreased plant density. Superior within‐locule yield components occurred in seed positions between the base and midpoint of the locule. Moreover, fiber number per unit seed surface area was not altered by any treatment, indicating it is probably a heritable yield component. Irrigation rate and plant density effects on cotton yield components occurred at the levels of the plant, within the boll, and even within the locule.
    Type of Medium: Online Resource
    ISSN: 0002-1962 , 1435-0645
    Language: English
    Publisher: Wiley
    Publication Date: 2010
    detail.hit.zdb_id: 1471598-3
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  • 9
    Online Resource
    Online Resource
    Wiley ; 2014
    In:  Agronomy Journal Vol. 106, No. 2 ( 2014-03), p. 452-458
    In: Agronomy Journal, Wiley, Vol. 106, No. 2 ( 2014-03), p. 452-458
    Abstract: Episodes of drought stress in upland cotton ( Gossypium hirsutum L.) can be detrimental to vegetative growth, yield characteristics, and fiber quality, depending on the specific growth stage drought occurs. Growth, yield, fiber quality, and boll distribution were compared among four cotton cultivars subjected to four growth‐stage specific drought periods that were repeated in three studies over 2 yr in West Texas. Drought timings occurred at pinhead square, early bloom, and two periods of stress during peak bloom. Both years of the study were hot and dry, with minimal rainfall during the episodic drought treatments. Yield was not significantly different among cultivars, nor was there a significant cultivar × irrigation interaction related to cotton yield. However, there were differential effects on fiber quality among cultivars subjected to the different episodic drought timings. Drought stress during squaring resulted in significantly shorter plants with fewer nodes; however, yield was comparable to the highest yields among the other drought stress treatments, and fiber quality parameters were significantly improved compared to all other treatments except full irrigation. The early flowering growth stage was the most sensitive to drought stress and produced the lowest yields, the lowest fruit retention, and poor fiber quality. Drought events at peak bloom resulted in similar yield losses to those at squaring, but poorer fiber quality. This information may be crucial for producers who either have competing demands for water resources or who want to maximize profits or resources after the occurrence of a drought episode.
    Type of Medium: Online Resource
    ISSN: 0002-1962 , 1435-0645
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 1471598-3
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  • 10
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2021-10-11)
    Abstract: Determining optimum irrigation termination periods for cotton ( Gossypium hirsutum L.) is crucial for efficient utilization and conservation of finite groundwater resources of the Ogallala Aquifer in the Texas High Plains (THP) region. The goal of this study was to suggest optimum irrigation termination periods for different Evapotranspiration (ET) replacement-based irrigation strategies to optimize cotton yield and irrigation water use efficiency (IWUE) using the CROPGRO-Cotton model. We re-evaluated a previously evaluated CROPGRO-Cotton model using updated yield and in-season physiological data from 2017 to 2019 growing seasons from an IWUE experiment at Halfway, TX. The re-evaluated model was then used to study the effects of combinations of irrigation termination periods (between August 15 and September 30) and deficit/excess irrigation strategies (55%-115% ET-replacement) under dry, normal and wet years using weather data from 1978 to 2019. The 85% ET-replacement strategy was found ideal for optimizing irrigation water use and cotton yield, and the optimum irrigation termination period for this strategy was found to be the first week of September during dry and normal years, and the last week of August during wet years. Irrigation termination periods suggested in this study are useful for optimizing cotton production and IWUE under different levels of irrigation water availability.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2615211-3
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