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Record W4395046965 · doi:10.5539/jas.v1n2p151

Seed and Oil Yield Productivity of Sunflower (Helienthus annus L.) Hybrid Varieties in Different States of India

2009· article· en· W4395046965 on OpenAlexvenueno aff
O. P. 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
KeywordsSunflowerYield (engineering)ProductivityHelianthusAgronomyMathematicsBiologyHorticultureEconomicsPhysics

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 Station Fof Fodder Production Demonstration,Government of India, Department of Animal Husbandry Dairying Fishries provided all inputs to conduct the tirals in the area under their juridiction to evaluate the suitable hybrids varieties of sunlower crop, their optimum sowing season,numbers of 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 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 eight Regional Station for Fodder Production and Demonstrations. The sunflower is a multi purose crop and may be good source of animal feeds as an un-conventional feed resource. Sunflower can be grown with forage crops also. RSFPDs organised 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 varieties PSFH-118 and HSFH-848 were grown at Ludhiana, Punjab and Hisar in Hariyana under irrigated conditions. Hybrid vaiety HSFH-848 performed better with seed yield (1712.3 kg/ha) than PSFH-118 1635.5 kg/ha. Data shows that oil content (38.6%) was higher in the seeds of cultivar HSFH-848. Maximum plant hieght (165.4 cm) and head diameter (16.2 cm) were found higher in the variety HSFH-848 at Hisar. Hybrids namely TCSH-1, LSFH-35, RSFH-1 (Tunga), NDSH-1 were grown at Alamadi (TN), Gunegal (A.P.), Akola (M.H.), Hesarghatta (KA) on government farms under irriagated conditions during 2005-6-2006-7. Sunflower hybrid produced maximum oil content/yield was recorded 40.8% NDSH-1 in southern India. Sunflower hybrids RSFH-1 and LSFH-35 has higher productivity under irrigated conditions in tropical climate.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.202
Teacher spread0.193 · 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 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
Published2009
Admission routes1
Has abstractyes

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