MétaCan
Menu
Back to cohort
Record W4387592438 · doi:10.5539/jas.v15n11p10

Evaluation of Mungbean Varieties for Adaptation to Rice-Based Cropping Systems and Profitability in North-West Cambodia

2023· article· en· W4387592438 on OpenAlexvenueno aff
Robert Martin, Pao Srean, Sophea Yous, Harry Campbell-Ross, Chariya Korn, Ratha Rien, Sokunroth Chhun, Santik Kheav, Saro Ratt, Daniel K. Y. Tan

Bibliographic record

VenueJournal of Agricultural Science · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRice Cultivation and Yield Improvement
Canadian institutionsnot available
FundersAustralian Centre for International Agricultural Research
KeywordsVignaCroppingRadiataResistance (ecology)Point of deliveryBiologyAgronomyCropHorticultureGeographyMathematicsAgriculture

Abstract

fetched live from OpenAlex

Two varieties of mungbean (Vigna radiata (L.) Wilczek) are most commonly grown in Battambang Province North-West Cambodia: KPS-2 (Thailand); and DX-208 (Vietnam). From the buyer’s point of view, the ideal variety would have large shiny seeds and from the farmer’s point of view, resistance to pod-shattering for single-pick or mechanical harvesting is a priority. KPS-2 has resistance to pod-shattering but small seeds and DX-208 has large seeds but has pods that shatter readily. The ideal variety would have both traits. This study evaluated 17 released mungbean varieties from Cambodia, Thailand, Vietnam and Australia for grain yield, seed weight and resistance to pod-shattering in a series of experiments from 2019 to 2021. In 2019, the four Cambodian varieties were evaluated alongside 11 Australian public varieties. Five of the Australian varieties were rejected because of low seed weight, dull seed coat and unacceptable color. Cambodian variety CMB-1 was rejected because of dull seed coat and indeterminate maturity. In 2021, the six remaining Australian varieties were re-evaluated together with locally grown varieties (DX-208, KPS-2) and Cambodian varieties (CARDI Chey, CMB-2 and CMB-3). The seed weight for Emerald was very similar to that for DX-208. Seed weights for CARDI Chey, CMB-3, King and Shantung were not significantly different to KPS-2. In laboratory testing for resistance to pod shattering, Delta, Emerald and KPS-2 were the most resistant and DX-208 was the most susceptible to pod shattering. The Australian varieties Delta and Emerald are recommended for further testing across other mungbean growing regions of Cambodia before submission for registration and commercial release.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.969
Threshold uncertainty score0.110

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.084
GPT teacher head0.289
Teacher spread0.204 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Agricultural ScienceSame topicRice Cultivation and Yield ImprovementFrench-language works237,207