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Record W1487610111 · doi:10.1002/9783527632930.ch44

Potato: Improving Crop Productivity and Abiotic Stress Tolerance

2012· other· en· W1487610111 on OpenAlexaff
Gefu Wang‐Pruski, Andrew Craig Schofield

Bibliographic record

Venuenot available
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsNova Scotia Department of Agriculture
Fundersnot available
KeywordsBiologyGenomicsBiotechnologyAdaptation (eye)Abiotic stressCropProductivityCrop productivityAgricultureAgricultural productivityDomesticationGenomeAgronomyEcologyGeneGenetics

Abstract

fetched live from OpenAlex

Potato is a prestige food crop that billions of people in the world depend on as an energy source. Its widespread cultivation and adaptation have rendered it attractive for humans of all cultures and geographic locations. However, its effective production is challenged by many unfavorable environmental conditions, such as drought, heat, cold, and salinity. Recent tools developed in genomic research have advanced our understanding of the potato crop in its ability to manage these stresses. This chapter provides the latest information on our understanding of stress tolerance mechanisms in potatoes based on functional genomics, transcriptomics, proteomics, and metabolomics studies. We also recommend many choices of functional genes that can be used for improving stress tolerance in potatoes. We would like to point out that due to lack of the completion of the potato genome sequence, many research projects are not able to provide more advanced systems biology data in comparison to that available for many other agricultural species.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.806
Threshold uncertainty score1.000

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)0.0010.000

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 head0.010
GPT teacher head0.187
Teacher spread0.177 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations23
Published2012
Admission routes1
Has abstractyes

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