Nutritional and antinutritional evaluation of indigenous Ethiopian okra (Abelmoschus esculentus) seed accessions
Bibliographic record
Abstract
Okra, of high nutritional potential, is one of the underutilized indigenous vegetables in Ethiopia.A food based-intervention specifically dietary diversification is an affordable and sustainable strategy to meet the demand of adequate food supply and population growth.One way of ensuring dietary diversity is to search and promote underutilized indigenous plant species such as okra.Therefore, the objective of this study was to determine nutritional and anti-nutritional factors content of the seeds of eight okra accessions (OPA#1, OPA#2, OPA#3, OPA#4, OPA#5, OPA#6, OPA#7 and OPA#8) grown at Assosa Agricultural Research Center in Benishangul Gumuz region, Ethiopia.Molar ratios of the seeds were also calculated and compared to the critical values to predict the mineral bioavailability.All the analyses were conducted using official standard procedures and grade standard reagents.The results of this study revealed that the proximate composition (g/100 g) of the seed accessions varied significantly (P<0.05) and had respective ranges for moisture content 9.27-12.70,crude protein 22.51-38.09,crude fat 18.64-36.84,crude fibre 1.94-5.96,crude ash 4.53-6.05,utilizable carbohydrate 18.69-37.77and metabolisable energy 324.88-423.84kcal/100g.The mineral composition (mg/100g) also varied significantly (P<0.05) with range of calcium 66.37 to 103.66, iron 8.33 to 20.29, potassium 90.00 to 187.92, zinc 3.92 to 6.42, phosphorus 16.94 to 1497.23 and sodium 15.06 to 27.81.The seeds of accession of OPA#6 contained high amounts of crude protein and fat, whereas OPA#8 was high in calcium, iron and potassium.The range of phytate, tannin and oxalate content (mg/100g) of the seed of okra accessions ranged from 0.39 to 0.46, 0.71 to 3.78, 0.74 to 0.75, respectively.The calculated molar ratios of phytate:calcium, phytate:iron, phytate:zinc, oxalate:calcium and phytate*calcium/zinc were 0.0025 to 0.0037, 0.0017 to 0.0041, 0.0063 to 0.106, 0.0020 to 0.0051 and 0.0140 to 0.0175, respectively, below the critical value, indicating high bioavailability of calcium, iron and zinc in all accessions.The results of this study revealed that seeds of okra contain appreciable amounts of essential nutrients and are low in anti-nutrient content implying high mineral bioavailability.Hence, increasing the production and consumption of these nutrient rich underutilized okra seeds could help in food fortification, dietary diversification and alleviation of problems associated with malnutrition in the country.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".