181 resultados para Crop succession
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Pós-graduação em Agronomia - FEIS
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Pós-graduação em Agronomia - FEIS
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Technologies that increase crop yields are possible when providing profitability to the producer. The objective of this study was to evaluate production costs and profitability of maize in production systems in Cerrado. The study was conducted in Selviria (Mato Grosso do Sul State), Brazil, in the years 2009/10 and 2010/11. The experiment was arranged in randomized blocks with four replications in factorial and mixed with tracks. We established 36 treatments, three green manures (Pennisetum glaucum, Crotalaria juncea and intercropping Pennisetum glaucum + Crotalaria juncea), three soil management practices (no-tillage system, "heavy disking" + "levelling disking" and "chisel plow" + "levelling disking") and four doses of N (0, 60, 90 and 120 kg ha(-1)). For economic analysis were estimated operational cost, the gross revenue obtained by the product of the productivity of the treatments and the value of corn (R$ 0,417 kg or R$ 25,00 sc(-1)) and the ratio revenue / cost of treatment. Whereas higher values (revenue/cost > 1) and lower (revenue/cost ratio < 1) as a parameter in the analysis of profitability, it can be concluded that corn under no-tillage had the highest profitability in succession to Pennisetum glaucum growing profitability with increasing N rates, in succession to Crotalaria juncea and in the absence of nitrogen application on the coverage achieved higher profitability compared to other treatments and in succession to the consortium Pennisetum glaucum + Crotalaria juncea doses of N was between 50 and 55 kg ha(-1) offer greater profitability to the cultivation of corn.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Sowing crops following cover crops on forage may cause injuries and productivity reduction, due reasons as allelopathy or glyphosate residues. The objective of this study was to evaluate the influence of differing periods between cover crop (Urochloa ruziziensis) desiccation with glyphosate and sunflower (Aguara 4) sowing in a no-tillage system on crop development and productivity. Two assays were performed in two seasons, one in pots and the other in a field. Treatments in field assay consisted on 5 desiccation times of U. ruziziensis (with an application of glyphosate at 1.08 kg ae ha(-1)) preceding the sowing of no-till sunflower (0, 3, 7, 10 and 30 days). At the pot assays, 6 times were studied: 0, 3, 7, 10, 15 and 20 days between cover crop desiccation and sunflower sowing. A control without cover crop was also included in this assay. Biometric evaluations were performed at the vegetative stage and at harvest. As the period between U. ruziziensis desiccation and sunflower sowing was shortened, achene production in sunflower was exponentially reduced. Glyphosate application at 3 or 0 days pre sowing diminished sunflower development and achene production by approximately 30% compared to desiccation periods greater than 7 days.
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Examined litterfall and litter standing crops in Altitudinal forest (AF and Semideciduous forest (SF) at Serra do Japi, Jundiai, Sao Paulo State. Total litterfall was 7 t ha-1 y-1 for AF: 4.9 leaves, 1.8 woody, 0.13 flower, 0.16 fruits; and the total for SF was 8.6 t ha-1 y-1; 5.5 leaves, 2.1 woody, 0.5 flower, 0.4 fruits. Litter standing crop was 5.5 t ha-1 y-1 for the two forest sites studied with a turnover coefficient (K1) of 1.3 for AF and 1.6 for SF. Litterfall occurred throughout the year but was greater during the dry season (August-September); seasonality of litter and leaf fall was greater in SF than in AF. -from Author
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Pós-graduação em Ciências Ambientais - Sorocaba
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Pós-graduação em Agronomia (Proteção de Plantas) - FCA
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Pós-graduação em Agronomia - FEIS
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Pós-graduação em Agronomia - FEIS
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Pós-graduação em Agronomia (Agricultura) - FCA
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Pós-graduação em Agronomia (Agricultura) - FCA
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This paper presents a mathematical model adapted from literature for the crop rotation problem with demand constraints (CRP-D). The main aim of the present work is to study metaheuristics and their performance in a real context. The proposed algorithms for solution of the CRP-D are a genetic algorithm, a simulated annealing and hybrid approaches: a genetic algorithm with simulated annealing and a genetic algorithm with local search algorithm. A new constructive heuristic was also developed to provide initial solutions for the metaheuristics. Computational experiments were performed using a real planting area and semi-randomly generated instances created by varying the number, positions and dimensions of the lots. The computational results showed that these algorithms determined good feasible solutions in a short computing time as compared with the time spent to get optimal solutions, thus proving their efficacy for dealing with this practical application of the CRP-D.
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Pós-graduação em Agronomia - FEIS
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)