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A Historic Perspective of Endophytes in Vascular Plants and Their Role in Environmental Sustainability

2019· book-chapter· en· W2947842920 on OpenAlexaff
Sreekumari Kurissery, Leah Katherine Shaw, Kanavillil Nandakumar

Bibliographic record

VenuePractice, progress, and proficiency in sustainability · 2019
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and fungal interactions
Canadian institutionsLakehead University
Fundersnot available
KeywordsEndophyteBiologyBotanySustainabilityHost (biology)Bark (sound)Ecology

Abstract

fetched live from OpenAlex

The term “endophyte” comes from words “endo” meaning within and “phyton” meaning plant. In 1866, De Bary first defined an endophyte as any organism that resides in the tissues of plants but not causing any harm. Thus, endophytes can be a microorganism, usually fungi or bacteria, that colonizes plants parts. The plant tissues/parts where endophytes grow include healthy leaves, petioles, stems, twigs, bark, roots, fruits, flowers, and seeds. They are found virtually in every one of the 300,000 species of vascular plants. Many endophytes co-exist in a single plant host with their populations ranging from one to hundreds of bacterial/fungal species. This chapter outlines a historical perspective of endophytes including ethnobotanical approach to drug discovery. Also, this chapter provides upto date information on the emerging role of endophytes in the sustainability of pasture and economy of agriculture, thereby contributing to the environmental sustainability.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.004

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 head0.008
GPT teacher head0.232
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2019
Admission routes1
Has abstractyes

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