Optimizing Dryland Crop Management to Regional Climate via Simulation. Part I: U.S. Southern High Plains Cotton Production

Mauget, Steven A.; Marek, Gary W.; Adhikari, Pradip; Leiker, Gary; Mahan, J. R.; Payton, Paxton; Ale, Srinivasulu

doi:10.3389/fsufs.2019.00120

Cited by 7 publications

(3 citation statements)

References 36 publications

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“…While the majority of cotton producers in the survey respondents rely on furrow or sprinkler irrigation, many are using or examining the potential for drip irrigation to reduce water quantities and energy costs. Dry land production, where cotton is grown without the aid of irrigation, has also been gaining popularity (Mauget et al, 2020). Biologically-based soil-building practices, such as crop rotation, cover crops and compost applications, have also been shown to increase the water-holding capacity of soils (Cambardella et al, 2015) and can lead to lessen applications of water over the growing season.…”

Section: Environmental Impacts Of Organic Management Techniquesmentioning

confidence: 99%

Organic cotton production may alleviate the environmental impacts of intensive conventional cotton production

Delate

Heller

Shade³

2020

Renew. Agric. Food Syst.

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Conventional cotton production has been associated with the extensive use of agricultural chemicals, leading to environmental and health problems, decreased effectiveness of pesticides and higher costs of production. Organic bans the use of most pesticides while providing premiums for growers, and therefore may be a beneficial alternative for growers. Unfortunately, there has been a paucity of research examining the specific practices used by organic cotton growers and the environmental aspects of those practices. This study surveyed organic cotton producers and processors to document specific approaches and techniques used in organic cotton production and processing, the environmental impacts of those techniques and challenges facing organic cotton growers. We discuss the environmental impacts of organic management techniques and methods for conserving water and reducing dependence on irrigation. We also highlight the challenges to organic production identified in the survey, including management for weeds, insects and diseases, genetic contamination of organic crops from genetically modified cotton, organic seed availability, climate change, chemical drift and marketing of organic cotton. Finally, we suggest that investing in research to produce higher-yielding organic varieties, improved methods for organic weed management, and supporting carbon-sequestering practices will improve conversion to organic production.

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Section: Environmental Impacts Of Organic Management Techniquesmentioning

confidence: 99%

Organic cotton production may alleviate the environmental impacts of intensive conventional cotton production

Delate

Heller

Shade³

2020

Renew. Agric. Food Syst.

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“…Dry land is a stretch of land that is never flooded or flooded during a large period of time in a year. From a geographical point of view, dry land is usually in the form of hilly soil with a wavy morphology, also has soil types that are poor in nutrients (Mauget, et al, 2020). In terms of rain availability, dry land also has a relatively low level of rainfall with short wet months.…”

Section: Introductionmentioning

confidence: 99%

Sustainability Analysis on Economic and Ecological Aspects of Dry Land Management in Jerowaru District Using Multi Dimensional Scaling (MDS)

Jasmawadi

Budastra²,

Tajidan³

et al. 2022

J. Prisma. Sains

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This study aims to determine the factors from the ecological and economic aspects that have the most sensitive attributes in influencing the sustainability of dry land management in Jerowaru District. This study uses the Multi Dimensional Scaling (MDS) analysis of Rapfish. The population in this study were all dry land farmers in Jerowaru District, East Lombok. The number of farmer respondents surveyed was 90 farmers spread over three villages with varied agricultural cropping patterns and topography. The sample unit in this study were individuals, namely dry land farmers. The sample in this research is some farmers who do dry land management. The analysis used is descriptive and MDS Rapfish is supported by qualitative analysis from field observations and in-depth interviews as outlined in a descriptive analysis to determine the characteristics of each respondent while MDS Rapfish is used to determine the most sensitive factors on ecological and economic aspects. The results of the feasibility study were tested with the r2 value which is close to one and the stress value <20% and the results of the Monte Carlo analysis which have a difference of <5% with the MDS results. The results of the MDS analysis show that the sustainability status on the economic aspect is 46.3 and on the ecological aspect it is 39.08. On the economic and ecological aspects in the less sustainable category. Leveraging factors from leveraging analysis to improve the status of sustainability in the economic aspect are the availability of inputs, especially fertilizers, access to marketing and availability of water for farming. While the lever factors in the ecological aspect are the use of biochar, the occurrence of floods / landslides, and vegetation cover. These levers must be a priority for sustainable dryland agricultural management in Jerowaru District, East Lombok.

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“…In a preceding companion paper (Mauget et al, 2019; hereafter M19) a modeling-based method was demonstrated that identified climate-optimal practices in SHP dryland cotton production. Here, this approach is applied to dryland sorghum production.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Dryland Crop Management to Regional Climate. Part II: U.S. Southern High Plains Grain Sorghum Production

Mauget

Kothari

Leiker

et al. 2020

Front. Sustain. Food Syst.

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Sorghum's heat and drought tolerance make it, together with upland cotton, one of two crops produced profitably under dryland conditions in the U.S. Southern High Plains (SHP). Here, a simulation-based method evaluates management options that increase median (50th percentile) SHP dryland sorghum yields and estimates those practice's yield risk effects. This method generates climate-representative distributions of grain yields via a crop model driven by weather inputs from 21 SHP weather stations during 2005-2016. Optimal management practices for current SHP climate conditions were sought by generating yield distributions under 32 management options defined by four planting dates, four plant densities, and applied or no applied N. The highest median grain yields resulted from management options with the latest planting date (July 5) and the lowest plant density (24.7 K plants ha −1), while applied N had essentially no yield effect. Increased yields with later planting dates are consistent with sorghum's growth cycle and SHP summer rainfall climatology. Confirming the low plant density yield effect may require additional field studies, as supporting evidence of higher yields at lower densities from other SHP field and modeling studies is inconclusive. These crop simulations, however, suggest late June to early July planting as part of management practices that maximize yields in dryland SHP sorghum production.

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Optimizing Dryland Crop Management to Regional Climate via Simulation. Part I: U.S. Southern High Plains Cotton Production

Cited by 7 publications

References 36 publications

Organic cotton production may alleviate the environmental impacts of intensive conventional cotton production

Organic cotton production may alleviate the environmental impacts of intensive conventional cotton production

Sustainability Analysis on Economic and Ecological Aspects of Dry Land Management in Jerowaru District Using Multi Dimensional Scaling (MDS)

Optimizing Dryland Crop Management to Regional Climate. Part II: U.S. Southern High Plains Grain Sorghum Production

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