Evaluation of DSSAT model for sprinkler irrigated potato: A case study of Northeast Algeria

Malkia, Rabia; Hartani, Tarik; Dechmi, Farida

doi:10.5897/ajar2015.9828

Cited by 4 publications

(6 citation statements)

References 8 publications

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“…Simulation of Underground Bulking Storage Organ component (SUBSTOR) is a member of the sixteen computer software application programs that use Formula Translation (FORTRAN) language embedded within the DSSAT model. It assesses the potato’s phenological effect, yield accumulation, and biomass in response to environmental factors [ 73 , 74 , 75 ]. It is basically used for various agroclimatic conditions and comprises modules that are used to input data, mathematical calculations of the process of growth and development, and, finally, interpretation of the potato simulation outputs [ 3 , 56 ].…”

Section: Methodsmentioning

confidence: 99%

“…The genetic coefficients include (1) G2—the rate of leaf area expansion, (2) G3—the rate of potential tuber growth, (3) PD—an index that suppresses tuber growth (dimensionless), (4) P2—sensitivity of tuber initiation to photoperiod (dimensionless), and (5) TC—tuber initiation upper critical temperature ( Table 4 ). The varying genetic coefficients affect potato biomass accumulation [ 33 , 46 , 73 , 79 , 80 , 81 ]. SUBSTOR is partitioned into sub-sections simultaneously, modeling soil water, nitrogen balances, phenological development, partitioning, and biomass formation of potato crops, producing a real plant–soil–atmospheric system description [ 58 , 70 ].…”

Section: Methodsmentioning

confidence: 99%

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Assessing Future Climate Change Impacts on Potato Yields — A Case Study for Prince Edward Island, Canada

Adekanmbi

Wang

Basheer

et al. 2023

Foods

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Crop yields are adversely affected by climate change; therefore, it is crucial to develop climate adaptation strategies to mitigate the impacts of increasing climate variability on the agriculture system to ensure food security. As one of the largest potato-producing provinces in Canada, Prince Edward Island (PEI) has recently experienced significant instability in potato production. PEI’s local farmers and stakeholders are extremely concerned about the prospects for the future of potato farming industries in the context of climate change. This study aims to use the Decision Support System for Agrotechnology Transfer (DSSAT) potato model to simulate future potato yields under the Coupled Model Intercomparison Project Phase 6 (CMIP6) climate scenarios (including SSP1–1.9, SSP1–2.6, SSP2–4.5, SSP3–7.0, and SSP5–8.5). The study evaluates the combined effects of changing climatic conditions at local scales (i.e., warming temperature and changing precipitation patterns) and increasing carbon dioxide (CO2) concentration in the atmosphere. The results indicate future significant declines in potato yield in PEI under the current farming practices. In particular, under the high-emission scenarios (e.g., SSP3–7.0 and SSP5–8.5), the potato yield in PEI would decline by 48% and 60% in the 2070s and by 63% and 80% by 2090s; even under the low-emission scenarios (i.e., SSP1–1.9 and SSP1–2.6), the potato yield in PEI would still decline by 6–10%. This implies that it is important to develop effective climate adaptation measures (e.g., adjusting farming practices and introducing supplemental irrigation plans) to ensure the long-term sustainability of potato production in PEI.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Assessing Future Climate Change Impacts on Potato Yields — A Case Study for Prince Edward Island, Canada

Adekanmbi

Wang

Basheer

et al. 2023

Foods

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“…The potato CSM assesses factors like biomass per unit area, stage of development, nitrogen content in the canopy, and yields that show the crop state at various stages. Many studies utilize various potato crop models to evaluate potato yields to strategize adaptation practices [91,[123][124][125][126]. Potato CSMs can be classified into diverse types, depending on the design and purpose; for instance, model classes could be empirical, explanatory, statistical, optimizing, mechanistic, descriptive, simulation, deterministic, static, dynamic, and stochastic models [127][128][129][130][131] or classified based on their origin (i.e.…”

Section: An Overview Of Potato Csmsmentioning

confidence: 99%

“…However, the results are based on experimental soil, plant, weather, and management data and mostly a long-time accumulation of data; hence, collecting and gathering the required data takes a long time. The DSSAT model is an example of a CSM that uses soil, plant, weather, and management data to assess the impacts of climate change on potatoes [15,19,87,100,104,106,109,124,126,187]. Hijmans [86] estimated prospective potato yields with and without adaptation from 2010 to 2069 for 26 regions and countries.…”

Section: Costs and Benefits Of Csmsmentioning

confidence: 99%

“…The minimum datasets required to simulate with DSSAT are weather data (such as temperature, solar radiation, and precipitation), soil data (such as organic and nitrogen content and soil class), and management data (such as planting date, manure, fertilizer, and tillage), in addition, are genotype coefficients (such as potential tuber growth rate, the upper critical temperature responsible for tuber initiation) [145]. SUBSTOR, as one of the sixteen computer software application programs (modules), uses Formula Translation (FORTRAN) language embedded within the DSSAT model to simulate the biomass in response to environmental factors and potato yield accumulation [124,192,196]. Potatoes develop through five major stages: sprout elongation, emergence, tuber initiation, bulking, and Maturity [189].…”

Section: Decision Support System For Agrotechnology Transfer (Dssat)mentioning

confidence: 99%

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Climate change impacts on global potato yields: a review

Adekanmbi,

Wang,

Basheer

et al. 2023

Environ. Res.: Climate

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Potatoes as a food crop contribute to zero hunger: Sustainable Development Goal 2. Over the years, the global potato supply has increased by more than double consumption. Changing climatic conditions are a significant determinant of crop growth and development due to the impacts of meteorological conditions, such as temperature, precipitation, and solar radiation, on yields, placing nations under the threat of food insecurity. Potatoes are prone to climatic variables such as heat, precipitation, atmospheric carbon dioxide (CO2), droughts, and unexpected frosts. A crop simulation model (CSM) is useful for assessing the effects of climate and various cultivation environments on potato growth and yields. This article aims to review recent literature on known and potential effects of climate change on global potato yields and further highlights tools and methods for assessing those effects. In particular, this review will explore (1) global potato production, growth and varieties; (2) a review of the mechanisms by which changing climates impact potato yields; (3) a review of CSMs as tools for assessing the impacts of climate change on potato yields, and (4) most importantly, this review identifies critical gaps in data availability, modeling tools, and adaptation measures, that lays a foundation for future research toward sustainable potato production under the changing climate.

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Crop Simulation Models as Decision-Supporting Tools for Sustainable Potato Production: a Review

et al. 2020

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Evaluation of DSSAT model for sprinkler irrigated potato: A case study of Northeast Algeria

Cited by 4 publications

References 8 publications

Assessing Future Climate Change Impacts on Potato Yields — A Case Study for Prince Edward Island, Canada

Assessing Future Climate Change Impacts on Potato Yields — A Case Study for Prince Edward Island, Canada

Climate change impacts on global potato yields: a review

Crop Simulation Models as Decision-Supporting Tools for Sustainable Potato Production: a Review

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