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Record W4395060332 · doi:10.5539/jas.v1n2p145

Performance of High Yielding Varieties of Sunflower (Helianthus annuus L.) Released for Different States of India

2009· article· en· W4395060332 on OpenAlexvenueno aff
Om V. Singh, Priyanka Gupta, Ananya Singh

Bibliographic record

VenueJournal of Agricultural Science · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSunflower and Safflower Cultivation
Canadian institutionsnot available
Fundersnot available
KeywordsHelianthus annuusSunflowerBiologyAgronomyHorticulture

Abstract

fetched live from OpenAlex

The Field trials on sunlower crop were conducted in different in states of India during the year from 2005-6 to 2006-7. The Regional Stations for Fodder Production and Demonstrations (RSFPD), Government of India, Department of Dairying and Fisheries (DADF) spread allover the country provided all the inputs to conduct the tirals in the On the Farms and on farmers Field (OFTs) and Frontline Demonstrations (FLDs) under their juridiction to evaluate the suitable varieties of sunlower for its sowing season, sowing time, scheduling irrigations vs rainfed conditions of cultivation including other agronomic package of practices.Government of India has strong feed and fodder development organization.Their are several centrally sponsered schems like estabishment of fodder banks, development of forage crops through biotechnology research, minikits distribution in the country. Central government distributed latest variety seeds in the country to a tune of cost of Rs 7.00 crores through all eight RSFPDs. The sunflower is a multi purose crop and may be good source of animal feeds as a un-conventional feed resource. Sunlower can be grown with forage crops also as forage crop based cropping system. RSFPDs organised sunflower trials in different states to evaluate sunflower production in northern and southern parts of India.The varieties released by AICRP (Sunflower) for different regions were selected for field trials. India has tropical and subtropical climate from south to north, respectively.Tamilnadu and Maharastra face the tropical climate while, Haryana, Punjab and Uttar Pradesh experience as a sub-tropical type of climate. Have February to March as spring season in northen states of India. All India released varieties Morden, GAUSUF-15, TNAUSUF-7, DRSF-108 and DRSF-113 were grown at Pantnagar in Uttranchal. Vaiety performed better with seed yield (1820.5 kg/ha). Data shows that oil content (40.4%) was higher in the seeds of cultivar TNAUSUF-7. Maximum plant hieght (163.8 cm) and head diameter (16.2 cm) was higher in the variety DRSF-108.

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 score0.722
Threshold uncertainty score0.184

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 communication0.0000.001
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 head0.011
GPT teacher head0.211
Teacher spread0.201 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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