ORIENTAÇÃO GEOGRÁFICA DE ESTUFAS DE POLIETILENO E POTENCIAIS DE ÁGUA NO SOLO NO CULTIVO DO MELÃO RENDILHADO HÍBRIDO 'NERO'
Bibliographic record
Abstract
ORIENTAÇÃO GEOGRÁFICA DE ESTUFAS DE POLIETILENO E POTENCIAIS DE ÁGUA NO SOLO NO CULTIVO DO MELÃO RENDILHADO HÍBRIDO 'NERO' Marcos Brandão Braga; Luiza Helena Duenhas; Cláudio Márcio Pereira De Souza; Antônio Evaldo Klar[1] Departamento de Engenharia Rural, Faculdade de Ciências Agroômicas/UNESP, Botucatu, SP, braga_marcos@yahoo.com.br2 Embrapa Semi Árido,Petrolina, PE3 Fafeid, Diamantina, MG4 Departamento de Engenharia Rural, Faculdade de Ciências Agroômicas /UNESP, Botucatu, SP 1 RESUMO O presente estudo teve como objetivo verificar os efeitos de duas orientações de estufas (Norte-Sul e Leste-Oeste) e diferentes potenciais de água no solo (-30, -40, -50 e -70 kPa) sobre o peso individual e produtividade de frutos de melão rendilhado híbrido Nero (Cucumis melo reticulatus). Observou-se que, de maneira geral na estufa com orientação Leste/Oeste, obtiveram-se as maiores produções bem como frutos de maior peso que na estufa com orientação Norte/Sul. As maiores produções foram obtidas com potenciais mínimos de água no solo de -30 e -40 kPa . UNITERMOS– (melão), Cucumis melo reticulatus, (produção), irrigação, estufas, potenciais de água no solo. BRAGA, M. B.; DUENHAS, L. H.; SOUZA, C. M. P. de; KLAR, A. E.PLASTIC TUNNEL GEOGRAPHIC ORIENTATION AND SOIL WATER POTENTIAL ON IRRIGATION MANAGEMENT OF NET MELON CROP This study aimed to verify the effects of four different minimum soil water potentials (-30, -40, -50 e -70 kPa) and two different plastic tunnel positions (North-South and East-West) on net melon yield. The results showed that in the East-West position the yield and fruit weight were higher than in the North-South position. The highest yields of melon crop were obtained from -30 kPa. to -40 kPa minimum soil water potential. KEYWORDS – Cucumis melo reticulatus , plastic tunnel, soil water potential
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".