Modeling postharvest loss and water and energy use in Florida tomato operations

Suthar, Ratna G.; Barrera, Jorge I.; Judge, Jasmeet; Brecht, Jeffrey K.; Pelletier, William; Muneepeerakul, Rachata

doi:10.1016/j.postharvbio.2019.03.004

Cited by 11 publications

(12 citation statements)

References 38 publications

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“…Even though the growing world population, which is expected to reach 9.7 billion by the year 2050 (Gustavsson et al ., 2011), renders providing for sufficient food supply a formidable task, a large fraction of horticultural crops is currently wasted, with losses occurring at many steps post‐harvest. Therefore, minimizing losses of horticultural crops and their products during the period from production to consumption is a central goal to meet current and future food demands (Sharma and Pongener, 2010; Suthar et al ., 2019). Fresh fruits and vegetables are living tissues and are subject to continuous change and deterioration during the post‐harvest operations.…”

Section: Introductionmentioning

confidence: 99%

Deciphering transcriptional regulators of banana fruit ripening by regulatory network analysis

Kuang

Guo

et al. 2020

Plant Biotechnology Journal

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Summary Fruit ripening is a critical phase in the production and marketing of fruits. Previous studies have indicated that fruit ripening is a highly coordinated process, mainly regulated at the transcriptional level, in which transcription factors play essential roles. Thus, identifying key transcription factors regulating fruit ripening as well as their associated regulatory networks promises to contribute to a better understanding of fruit ripening. In this study, temporal gene expression analyses were performed to investigate banana fruit ripening with the aim to discern the global architecture of gene regulatory networks underlying fruit ripening. Eight time points were profiled covering dynamic changes of phenotypes, the associated physiology and levels of known ripening marker genes. Combining results from a weighted gene co‐expression network analysis (WGCNA) as well as cis‐motif analysis and supported by EMSA, Y1H, tobacco‐, banana‐transactivation experimental results, the regulatory network of banana fruit ripening was constructed, from which 25 transcription factors were identified as prime candidates to regulate the ripening process by modulating different ripening‐related pathways. Our study presents the first global view of the gene regulatory network involved in banana fruit ripening, which may provide the basis for a targeted manipulation of fruit ripening to attain higher banana and loss‐reduced banana commercialization.

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Section: Introductionmentioning

confidence: 99%

Deciphering transcriptional regulators of banana fruit ripening by regulatory network analysis

Kuang

Guo

et al. 2020

Plant Biotechnology Journal

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“…Ref. [79] extended the study of [77] by including post-harvest losses, water, and energy consumption in the supply chain. Ref.…”

Section: Decision Variablesmentioning

confidence: 99%

“…Refs. [77][78][79]84,88] took into account perishability in terms of color changes throughout the post-harvest periods. Ref.…”

Section: Perishabilitymentioning

confidence: 99%

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Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review

Taşkıner

Bilgen

2021

Logistics

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This paper provides a comprehensive review of the research done on optimization models that focus on harvest and production planning for food crops. Optimization models have been used extensively in providing insights to decision-makers on issues related to harvest and production planning in agri-food supply chains. First, we conduct an extensive literature review on previous survey articles to distinguish our research from others. Based on the previous reviews, a new classification scheme is developed to classify articles systematically. Harvest and production planning problems in agri-food supply chains are analyzed through three sections: problem scope, model characteristics, and modeling approach. Neglected problem topics and several promising research directions are presented to stimulate research interest on agri-food supply chains specifically planning of harvest and production.

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“…These on-farm food losses are distinguished from post-harvest losses, which may be reported, for example, at a sorting station, in cold storage, or transport. Parfitt et al (2010), Hebrok and Boks (2017), and Suthar et al (2019) provide more information on post-harvest losses.…”

Section: Defining Food Loss and Wastementioning

confidence: 99%

An Evaluation of On-Farm Food Loss Accounting in Life-Cycle Assessment (LCA) of Four California Specialty Crops

Winans

Marvinney

Gillman

et al. 2020

Front. Sustain. Food Syst.

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The majority of the environmental impacts associated with the agri-food supply chain occur at the production phase. Interests in using life-cycle assessment (LCA) for accounting for agri-food supply chains as well as food losses and waste (FLW) has increased in recent years. Here, for the first time, we estimate production-phase embedded resources and greenhouse gas (GHG) emissions in California specialty crops considering on-farm food losses. We use primary, survey-derived qualitative and quantitative data to consider on-farm food loss prevention and avoided GHG emissions through two different scenarios applied in an illustrative example for processing peach at the production stage. Further, we contribute a mathematical approach for accounting for discrete, unique flows within the net flow of loss in a supply chain, in LCA. Through the detailed LCAs, we identify the hotspots for the four crops as on-farm diesel use, fertilizer application, direct water use, and electricity for irrigation pumping. Impacts from cultivation practices and the additional impacts from on-farm food losses vary significantly by crop. Including the losses in the LCAs resulted in increases in overall resource use and GHG emissions by 4-38% (percent varies depending on the crop type). We used the LCA models and a set of straightforward calculations to evaluate the environmental impacts of a prevention action (a 50% reduction in on-farm food losses) and the secondary use of end-of-life (EOL) biomass from processing peach. The results of this evaluation showed an 11% reduction in GHG emissions compared to the baseline (full harvest). In conclusion, by explicitly including the impacts of on-farm food losses in LCA, we highlight challenges and opportunities to target interventions that simultaneously reduce these losses and the associated environmental impacts in agricultural systems.

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Modeling postharvest loss and water and energy use in Florida tomato operations

Cited by 11 publications

References 38 publications

Deciphering transcriptional regulators of banana fruit ripening by regulatory network analysis

Deciphering transcriptional regulators of banana fruit ripening by regulatory network analysis

Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review

An Evaluation of On-Farm Food Loss Accounting in Life-Cycle Assessment (LCA) of Four California Specialty Crops

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