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Record W2085625289 · doi:10.4314/ajfand.v10i5.56341

Effects of vegetable drying techniques on nutrient content: a case study of south-western Uganda

2010· article· en· W2085625289 on OpenAlexfundno aff
Bernard T. Kiremire, Enock Musinguzi, Joyce K. Kikafunda, Fred B. Lukwago

Bibliographic record

VenueAfrican Journal of Food Agriculture Nutrition and Development · 2010
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsMicronutrientWet seasonDry seasonNutrientEnvironmental scienceSorghumGeographyPostharvestToxicologyAgronomyBiologyHorticultureEcologyMedicine

Abstract

fetched live from OpenAlex

Micronutrient deficiencies are high in Uganda. To the rural poor, the most compelling and long- term strategy to address this problem is dietary diversity. However, postharvest losses and seasonal variability within key foods still hamper the communitybased efforts to supply local food sources throughout the year. Vegetables are important in most of the daily diets and can be used to alleviate most of the micronutrient deficiencies. Vegetables are only available during the rainy season in rural areas. Therefore, it is necessary to preserve them and use them during the dry season when they are scarce. The objective of this study was to establish food preservation methods that could easily be adopted for preservation of vegetables in order to even out the imbalance of supplies between the rainy and the dry season. In order to achieve the objective, first, a survey was carried out in South Western Uganda, to identify the traditional methods of preservation of food plants. Then, the traditional methods were compared with other methods that can be used for drying vegetables, with respect to retention of nutrients after drying to determine the best method applicable to a rural setting. Sun drying was identified as the only traditional method of preserving foodstuffs in Rukungiri district. The method was cited by all households (n=116) in the drying of grains legumes and cereals such as maize, millet and sorghum. Apart from sun drying, two other methods are applicable to the rural setting; namely oven drying and solar drying. The effects of sun drying, solar drying and oven drying on the nutrient composition of selected vegetables were assessed by proximate analyses and compared with the nutrient content of the fresh vegetables. The results showed that some nutrients were lost during the drying process but in general, the nutrient content remained high. With respect to retention of the nutrient content in vegetables, solar drying was found to be the best of the three methods. Based on this study, solar drying is recommended as a method for vegetable preservation.Key words: Vegetables, Preservation, Drying, Nutrients, Uganda

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.231
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations44
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueAfrican Journal of Food Agriculture Nutrition and DevelopmentSame topicMicrobial Metabolites in Food BiotechnologyFrench-language works237,207