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Record W2034344653 · doi:10.5539/jas.v4n8p65

Field Demonstration of Trichoderma harzianum as a Plant Growth Promoter in Wheat (Triticum aestivum L)

2012· article· en· W2034344653 on OpenAlexvenueno aff
Pratibha Sharma, Amar Nath Patel, Mahesh Saini, Swati Deep

Bibliographic record

VenueJournal of Agricultural Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsnot available
FundersTechnology Information, Forecasting and Assessment CouncilIndian Agricultural Research InstituteDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsTrichoderma harzianumSowingTrichodermaBiologyCropAgronomyHorticultureBiotechnologyBiological pest control

Abstract

fetched live from OpenAlex

A three year study (2008-2011) on the validation of the Trichoderma technology for growth promoting ability of Trichoderma harzianum (Th3) was evaluated in the popular wheat (Triticum aestivum L.) variety Raj 3765 at farmer’s field through TIFAC-DST project entitled “On Farm Demonstration and Commercial Production of Trichoderma as Biopesticide and Growth Promoter”. The biological formulation was developed at Biological Control Laboratory, Division of Plant Pathology, IARI, New Delhi, and was successfully demonstrated in two districts of Rajasthan viz., Jaipur and Kota belonging to different agro climatic zones. Rhizospheric Competence Index along with its growth promotion effect on rootlets, tillers, weight of grains and grain yield were evaluated by using it at three stages of crop viz., seed, flowering and preharvesting @ 4g/kg and @ 4ml/L along with soil treatment with a mixture of farm yard manure and formulation @ 50:1 before sowing. Compared to the first year where the farmers were unaware of Trichoderma in 2008-09, a significant increase in yield of wheat from 36.25 to 46.73Q/ha (29% in Jaipur) and from 36.88 to 50.12Q/ha (36% in Kota) has been observed after continuous application for three years (2008-2011) The total income and the benefit cost ratio of farmers increased both at Jaipur (Rs 56242/ha, 1:1.8) and Kota (Rs 60332/ha, 1:1.9).

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score0.136

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 communication0.0000.002
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 head0.018
GPT teacher head0.235
Teacher spread0.218 · 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

Citations59
Published2012
Admission routes1
Has abstractyes

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