Grain Yield and Oil Quality of Sunflower Varieties on Government Farms Under Rainfed and Irrigated Situations as of Rabi and Kharif Seasons in Southern India
Bibliographic record
Abstract
The Field trials on sunlower crop were conducted in different in states of India during the year from 2006 to 2008. The RSFPD, Government of India, DADF provided all inputs to conduct the tirals in the area under their juridiction to evaluate the suitable varieties of sunlower to optimise 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 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 through eight RSFPDs. The sunflower is a multi-purpose crop and may be good source of animal feeds as a un-conventional feed resource. Sunlower 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 varieties TNAUSUF-10, COSFV-5, LSF-8 and TAS-82 were grown at Alamdi in Tamilnadu and Akola in Maharastra in rainfed and irrigated situations in rabi and kharif seasons. Vaiety COSVF-5 performed better with seed yield (1830.6/1456.6 kg/ha). Data shows that oil content (39.2, 40.2%) was higher in the seeds of cultivar COSVF-5 in TNAUSUF-10. Maximum plant hieght (166.154.1 cm) was also recorded in same cultivar and head diameter (16.1, 15.9 cm) was higher in the variety LSF-8.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".