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Record W4395060384 · doi:10.5539/jas.v3n2p279

Spring Sunflower PSFH-118 at Ludhiana (PB) and HSFH-848 Hybrid at Hisar (HR) for Oil Quality and Seed Yield in India

2011· article· en· W4395060384 on OpenAlexvenueno aff
Om Singh, Pankhuri Gupta, Ananya Singh

Bibliographic record

VenueJournal of Agricultural Science · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSunflower and Safflower Cultivation
Canadian institutionsnot available
Fundersnot available
KeywordsSunflowerSpring (device)Yield (engineering)AgronomySunflower oilBiologyVeterinary medicineEnvironmental scienceMathematicsEngineeringMedicineMaterials scienceFood scienceStructural engineering

Abstract

fetched live from OpenAlex

The Field trials on sunlower crop were conducted in different in states of India during the year from 2006 to2008. The RSFPD, Government of India, DADF provided all inputs to conduct the tirals in the area under their juridiction to evaluate the suitable varieties vs hybrids of sunflower, their sowing season, irrigations vs rainfed conditions of cultivation including other agronomic package of practices. Government of India has strong feed and fodder development organization. There are several centrally sponsored schems like establishment 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 eight RSFPDs. The sunflower is a multi-purose crop and may be good source of animal feeds as a un-conventional feed resource. Sunflower can be grown with forage crops also. RSFPDs organized sunflower trials in different states to evaluate sunflower production in northern and southern parts of India. The varieties and hybrids 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 while, Haryana, Punjab and Uttar Pradesh experience a sub-tropical type of climate having February and March as spring season in Northen India. All India released hybrid PSFH-118 and HSFH-848 were grown at Ludhiana in Punjab and Hisar in Hariyana. Vaiety HSFH-848 performed better with seed yield (1702.1 and 1734.1 kg/ha) over the seed yield of HSFH-118. Data shows that oil content (37.7, 38.3%) was higher in the seeds of cultivar PSFH-118. Maximum plant height (164.6, 167.9 cm) recorded in HSFH-848 and head diameter (16.2-17.1 cm) was at par in both the varieties of hybrid sunflower.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.350

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 head0.052
GPT teacher head0.247
Teacher spread0.195 · 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 designObservational
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
Published2011
Admission routes1
Has abstractyes

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