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Record W2023690144 · doi:10.2135/cropsci2007.03.0133

Heritability Estimates and Response to Selection for Resistance to Mycosphaerella Blight in Pea

2007· article· en· W2023690144 on OpenAlexaffabout
Roger X. Zhang, B. D. Gossen

Bibliographic record

VenueCrop Science · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetic and Environmental Crop Studies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyHeritabilityMycosphaerellaSativumField peaPlant disease resistanceBlightResistance (ecology)Quantitative trait locusTraitGermplasmBotanyGeneticsAgronomyGene

Abstract

fetched live from OpenAlex

Resistance to Mycosphaerella pinodes in field pea ( Pisum sativum L) is a quantitative trait, and expression of resistance is substantially influenced by environment. The disease reaction to mycosphaerella blight of four crosses (F 2:4 and F 2:5 populations) was assessed in field trials at Vegreville, AB, Canada. Broad‐sense heritability of resistance was quite high (0.62–0.81). Narrow‐sense (realized) heritability was moderate (0.43–0.57), indicating that additive genetic factors contributed substantially to the resistance phenotype. Significant improvement in resistance among the lines developed from selected individuals indicates that genetic improvement based on progeny testing would be effective. This study demonstrated that resistance to M. pinodes can be improved through progeny selection from crosses of the most resistant lines.

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 score0.845
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.250
Teacher spread0.236 · 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

Citations13
Published2007
Admission routes2
Has abstractyes

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