MANEJO ECONÔMICO DA IRRIGAÇÃO DE FEIJÃO CAUPI VIA MODELO DE SIMULAÇÃO
Bibliographic record
Abstract
MANEJO ECONÔMICO DA IRRIGAÇÃO DE FEIJÃO CAUPI VIA MODELO DE SIMULAÇÃO[1] Edson Alves BastosEmbrapa Meio-norte - UEP/Parnaíba - Cx. Postal 341 CEP:64202-020, Parnaíba-PIe-mail: edsonuep@secrel.com.brMarcos Vinícius FolegattiESALQ/USP - Escola Superior de Agricultura "Luiz de Queiroz" Departamento de Engenharia Rural Cx. Postal 09 CEP: 13418-900, Piracicaba-SPAderson Soares de Andrade JúniorMilton José CardosoEmbrapa Meio-Norte - Cx. Postal 01 CEP: 64006-220, Teresina-PIRogério Teixeira de FariaIAPAR - Cx. Postal 481, CEP: 86001-970,Londrina-PR 1 RESUMO O presente estudo teve por objetivo identificar estratégias econômicas de manejo de irrigação em feijão caupi, nas condições de solo e clima dos municípios de Parnaíba e Teresina, Piauí, Brasil. Foram simulados 20 tratamentos, originados da combinação de cinco níveis de água no solo (60, 50, 40, 30% da Capacidade de Água Disponível 'CAD' e sem irrigação) com quatro épocas de semeadura (15/06, 15/07, 15/08 e 15/09), utilizando-se o modelo CROPGRO-cowpea/DSSAT. As simulações foram realizadas para um período de 9 anos (1990 a 1998), em Parnaíba, e 22 anos (1977 a 1998), em Teresina. A análise da estratégia ótima do manejo de irrigação foi feita com base na dominância de Gini. Os resultados evidenciaram que, nos dois municípios, a semeadura em 15/06 foi a mais favorável para o cultivo irrigado do feijão caupi, devendo-se manter o teor de água no solo em níveis de até 50% da CAD. UNITERMOS: Vigna unguiculata, feijão-de-corda, DSSAT, BASTOS, E.A, FOLEGATTI, M.V, ANDRADE JÚNIOR, A.S., CARDOSO, M.J., FARIA, R.T. ECONOMIC IRRIGATION MANAGEMENT IN COWPEA CROP BY SIMULATION MODEL 2 ABSTRACT The objective of this study was to identify economic strategies of irrigation management, in the soil and meteorological conditions of Parnaíba and Teresina, Piauí, Brazil. Twenty treatments were simulated combining five soil water levels (60, 50, 40, 30 % of soil water available 'SWA' and without irrigation) and four planting dates (15/06, 15/07, 15/08 and 15/09), using the CROPGRO-cowpea/DSSAT model. The simulations included a period of 9 years (1990 to 1998) for Parnaíba and 22 years (1977 to 1998) for Teresina. The treatments were analyzed from Mean-Gini Dominance. The results showed that the best strategy is an irrigation management with 50% of SWA and a planting date in 15/06. KEYWORDS: Vigna unguiculata, beans, DSSAT.[1] Parte da tese de doutorado do primeiro autor. PG Irrigação e Drenagem, ESALQ/USP.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".