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Record W1833492400 · doi:10.5376/mpb.2015.06.0013

Screening of Rice Germplasm Against Blast Disease Under Temperate Conditions ABSTRACT

2015· article· en· W1833492400 on OpenAlexvenueno aff
Dar H, Renzo C. Lanfranco, S. Najeeb, Ashraf Ahangar M.

Bibliographic record

VenueMolecular Plant Breeding · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRice Cultivation and Yield Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsGermplasmBiologyTemperate climateBlast diseaseDiseaseBiotechnologyAgronomyGeneticsBotanyMedicineGenePathology

Abstract

fetched live from OpenAlex

Rice is the world’s most important food crop as it provides nutrition to the two third of its population. The improvement in yield of this crop is challenged by several biotic and abiotic factors.  Among the biotic stresses rice blast is a serious production constraint for rice under Kashmir conditions. Keeping in view a disease screening field trial of rice germplasm consisting of 9 parents, 27 crosses and one local check was established during the kharif, 2012 at two sites in Kashmir (India) to determine resistance intensity in rice germplasm against Pyricularia grisea , the cause of rice blast disease. Screening was done under natural epiphytotic conditions and the results revealed that none of the test lines was immune or highly resistant. Four crosses namely K-08-60 x IR-68888A, K-08-61 x SKAU-11A, K-08-61 x IR-68888A, PS-5 x SKAU-11A and one parent PS-5 were found to be resistant. Seven hybrids and four parents displayed moderately resistant response. Three crosses and equal number of parents were found to be moderately susceptible. Rest of the crosses and parents showed susceptible to highly susceptible response. Genotypes performed almost equally at both of these locations with respect to their disease intensity. All the resistant and moderately resistant crosses and parents can be utilized as a source of resistance for developing blast resistant cultivars especially for temperate ecologies. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:Table Normal; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri,sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Times New Roman; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Times New Roman; mso-bidi-theme-font:minor-bidi;}

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.201

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 head0.060
GPT teacher head0.244
Teacher spread0.184 · 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 designBench or experimental
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

Citations1
Published2015
Admission routes1
Has abstractyes

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