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Mapping Quantitative Trait Loci for Carotenoid Concentration in Three F <sub>2</sub> Populations of Chickpea

2019· article· en· W2974670528 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Plant Genome · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetic and Environmental Crop Studies
Canadian institutionsUniversity of Saskatchewan
FundersSaskatchewan Pulse GrowersMinistry of Agriculture - SaskatchewanUniversity of Saskatchewan
KeywordsZeaxanthinQuantitative trait locusBiologyLuteinCarotenoidPopulationNeoxanthinViolaxanthinBotanyDoubled haploidyGeneticsGene

Abstract

fetched live from OpenAlex

Core Ideas Quantitative trait locus (QTL) analyses for carotenoids in chickpea were completed for three F 2 populations. A moderate number of QTLs and candidate genes associated with carotenoid concentration in chickpea seeds were identified. Green cotyledon color is positively associated with provitamin A carotenoids. Three F 2 populations derived from crosses between cultivars with green and yellow cotyledon colors were used to identify quantitative trait loci (QTLs) associated with carotenoid components in chickpea ( Cicer arietinum L.) seeds developed by the Crop Development Centre (CDC). Carotenoids including violaxanthin, lutein, zeaxanthin, β‐cryptoxanthin, and β‐carotene were assessed in the F 2:3 seeds via high‐performance liquid chromatography (HPLC). In the ‘CDC Jade’ × ‘CDC Frontier’ population, 1068 bin markers derived from the 50K Axiom CicerSNP array were mapped onto eight linkage groups (LGs). Eight QTLs, including two each for β‐carotene and zeaxanthin and one each for total carotenoids, β‐cryptoxanthin, β‐carotene, and violaxanthin were identified in this population. In the ‘CDC Cory’ × ‘CDC Jade’ population, 694 bin markers were mapped onto eight LGs and one partial LG. Quantitative trait loci for β‐cryptoxanthin, β‐carotene, violaxanthin, lutein, and total carotenoids were identified on LG8. A map with eight LGs was developed from 581 bin markers in the third population derived from the ‘ICC4475’ × ‘CDC Jade’ cross. One QTL for β‐carotene and four QTLs, one each for β‐cryptoxanthin, β‐carotene, lutein, and total carotenoids, were identified in this population. The highest phenotypic variation explained by the QTLs was for β‐carotene, which ranged from 58 to 70% in all three populations. A major gene for cotyledon color was mapped on LG8 in each population. A significant positive correlation between cotyledon color and carotenoid concentration was observed. Potential candidate genes associated with carotenoid components were obtained and their locations on the chickpea genome are presented.

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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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score0.094

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.049
GPT teacher head0.210
Teacher spread0.161 · 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