Economically optimal crop sequences using risk-adjusted network flows: Modeling cotton crop rotations in the southeastern United States

Salassi, Michael E.; Deliberto, Michael A.; Guidry, Kurt M.

doi:10.1016/j.agsy.2013.02.006

Cited by 19 publications

(14 citation statements)

References 27 publications

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“…Therefore, in this study we proposed the seven crop rotations for salt affected soil which should be acceptable to local farmers, can generate the income and contribute to food security and rural development. In developing countries one of most common factor for fast adoptability of a cropping sequence by farming community is expected market price and resulting net economic return of selected crop (Hurine et al, 2000;Salassi et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…One of the main issues influencing crop production choices by farmers is the expected market price of selected commodity and the resulting estimated net revenue, in addition to the rela-tive economic risk associated with production of potential commodities . A farmer's earnings and capacity to achieve credit, farming systems, skill and technologies and willingness to invest in new crops will also influence the choice of crops (Knowler and Bradshaw, 2007;Salassi et al, 2013). In a study consisting of different crop rotation Dogan et al (2008) reported that wheat and sunflower using as main crop were more profitable rotation system under rain fed conditions having net profit of $474 and $482 ha −1 year −1 , respectively.…”

Section: Introductionmentioning

confidence: 99%

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Feasibility of different crop rotations for cultivation in salt affected soils

Ahmed

Qādir

Nawaz

et al. 2019

AAS

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Crop rotation can be used as an effective technique for managing salt-affected soils, however selection of suitable crop rotation at farmer field is very intricate decision which depends on expected net revenue, available resources and preserving the soil quality. In this perspective a study was conducted to evaluate a suitable crop rotation scheme for salt affected soils in term of economic value and improving the soil health. Seven crop rotation used were; T1 = Wheat-Rice, T2 = Wheat-Sesamum, T3 = Ispagol-Rice, T4 = Ispagol-Qulfa, T5 = Tukhum-e-blangoo-Qulfa, T6 = Ajwain-Niazboo, T7 = Saunf-Podina. A moderately salt affected field {pHs = 8.65, ECe = 5.20 dS m-1, SAR = 27.73 (mmol l-1)1/2} was selected. The experimental design was randomized complete block design (RCBD) with three replications having plot size of 4 m x 6 m. Results of two years study showed that maximum grain yield was recorded by rice wheat rotation and maximum net income (208352 Rs. ha−1) and BCR (4.72) was also observed in rice-wheat crop rotation over all other crop rotations. With respect to ameliorative affect, rice- wheat rotation also showed a significant positive impact on chemical properties of salt affected soil. Therefore, it is suggested that rice wheat crop rotation is the most suitable and economically attractive cropping scheme in salt affected soil which has potential to provide better long-term income to farmers, improve soil health and combat soil deterioration caused by salinity.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feasibility of different crop rotations for cultivation in salt affected soils

Ahmed

Qādir

Nawaz

et al. 2019

AAS

View full text Add to dashboard Cite

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“…This kind of optimization tool is based on a vision of a decision-maker being able to choose the solution maximizing his utility function from a large range of possibilities thanks to the completeness of the information available to him and his capacity to compare all of the solutions possible (Duke et al, 2012;Salassi et al, 2013). The tool is appreciated for its capacity to integrate biotechnical and economic variables, for instance to evaluate effects of policy decisions on farm incomes (Veysset et al, 2005) or potential value of innovative cropping systems (Affholder et al, 2010).…”

Section: The Three Modelsmentioning

confidence: 99%

Relevancy and role of whole-farm models in supporting smallholder farmers in planning their agricultural season

Sempore¹,

Andrieu²,

Nacro³

et al. 2015

Environmental Modelling & Software

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“…An earlier network model described the crop rotation planning problem and explored its complexity [15]. Similarly, a transhipment network model was formulated to address the problem with risk constraints on the net income [3].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Crop rotation is an agronomic practice defined by a specific rotation cycle to successively plant different crops in the same plot [3]. The cycle is determined according to the reproduction of the main crop in the plot, and usually, the main crop is either the most profitable one or a strategic crop (e.g., wheat).…”

Section: Introductionmentioning

confidence: 99%

A Robust Crop Rotation Optimization Model With Water Scarcity and Net Return Uncertainty Considerations

2021

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The tactical, technical, and economic considerations are critical factors in evaluating the crop rotation decisions in any agricultural system. This system suffers from uncertainties that are amplified during the multi-period rotation planning. This study considers the crop rotation problem with water supply/demand and net return uncertainties, which vary within the allowable rotation cycle. Robust optimization is the most relevant tool for elaborating uncertainty in different parameters related to agricultural activities. It makes the formulated model numerically tractable, primarily when implemented in complex agricultural problems. The main objectives of this work include deciding the optimal cropping plans, achieving a reasonable income for the farmer, and taking water uncertainties into account on a tactical basis. All the mentioned goals are integrated while respecting the agronomic constraints and satisfying specific demand. A powerful feature of robust optimization is its robustness level adjustment for the solution against uncertainty sets. In this situation, the relationships between optimal values, the budget of uncertainty, and the perturbation values were outlined with insights towards tradeoff decisions. The proposed model compares the performance at each perturbation level with insights toward proper managerial decisions.INDEX TERMS Crops, integer linear programming, mathematical programming, optimal scheduling, uncertainty.

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Economically optimal crop sequences using risk-adjusted network flows: Modeling cotton crop rotations in the southeastern United States

Cited by 19 publications

References 27 publications

Feasibility of different crop rotations for cultivation in salt affected soils

Feasibility of different crop rotations for cultivation in salt affected soils

Relevancy and role of whole-farm models in supporting smallholder farmers in planning their agricultural season

A Robust Crop Rotation Optimization Model With Water Scarcity and Net Return Uncertainty Considerations

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