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Record W4286216666 · doi:10.18697/ajfand.110.20660

Challenges and opportunities in common bean production and marketing in Botswana: Prospects and farmer’s perspectives

2022· article· en· W4286216666 on OpenAlexaboutno aff
G Mangole, M Ithuteng, M Radikgomo, OO Molosiwa

Bibliographic record

VenueAfrican Journal of Food Agriculture Nutrition and Development · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural pest management studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhaseolusLegumeProduction (economics)Agricultural scienceCropArable landGeographyQuarter (Canadian coin)AgroforestryAgricultureAgronomyBiologyEconomics

Abstract

fetched live from OpenAlex

Common bean (Phaseolus vulgaris) is the most consumed legume crop in the world, and one of the most consumed legume crops in Botswana. This study aims to identify constraints and opportunities in common beans production in order to enhance common bean production in the country. A survey was conducted among 287 farmers in two districts of Southern and Chobe with farmers selected by multi-stage sampling technique. The majority of farmers were female (66.1%), a few farmers planted common bean (11.5%). Slightly more than a quarter (27.8%) of farmers were above the age of 65 years. Constraints to production included pests and diseases, damage by animals, lack of labour, drought, and lack of seeds. Seven percent of farmers assumed that common bean was a drought tolerant crop and 33% of farmers said common bean taste better than other pulses. However, only 21% preferred to grow it. More farmers (13.2%) grew common bean in the Southern district than farmers in the Chobe district (7.0%). Farmers who grew common bean bought their seeds from Agro dealers (76%) with an average amount of 6kg of seed purchased at a time at an average price of $1.11 kg-1. Common bean was planted on 7% of the arable land that was planted. Most of the farmers (87%) were not trained in common bean production and received little or no assistance from extension officers resulting in little knowledge by farmers about the production of common beans. Strategies to create awareness are needed to facilitate access and mobilise farmers to adopt common beans to improve their livelihoods. This is particularly encouraged in agro-ecological zones such as Chobe with high yield producing potential. Development of seed systems and release of varieties tested in Botswana agro-ecological zones, would increase the production of common bean to improve food security and nutrition, and reduce import bill in Botswana. Key words: Common bean, Cropping systems, Marketing, Production, Phaseolus vulgaris, Agro-ecology, Multi-stage, Pulses, Drought

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score0.255

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.215
Teacher spread0.168 · 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 designObservational
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

Citations3
Published2022
Admission routes1
Has abstractyes

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