RESUMO -Identificar a época ideal para o cultivo do milho é essencial quando se almeja alta produtividade. Porém, monitorar o crescimento e desenvolvimento da cultura requer práticas que exijem tempo e que são muitas vezes destrutivas. A modelagem de crescimento é uma técnica que fornece dados precisos mais rapidamente a respeito da resposta da cultivar ao ambiente. Objetivou-se analisar os modelos logístico e pico-log normal para a estimativa da altura das plantas e índice de área foliar, respectivamente, e determinar a melhor época de semeio para a cultura do milho, na região dos Tabuleiros Costeiros de Alagoas. Foi utilizada a cultivar AL Bandeirante, semeada em blocos casualizados, em diferentes épocas: 28/06 (E 1 ), 08/07 (E 2 ), 18/07 (E 3 ) e 28/07 de 2013 (E 4 ). Ambos os modelos apresentaram ajustes significaticos (p < 0,01), gerando coeficientes de determinação máximos superiores a 0,912. MAIZE GROWTH AND YIELD OVER DIFFERENT PLANTING PERIODS IN COASTAL PLAINS OF ALAGOAS, BRAZILABSTRACT -Identify the ideal time for growing maize is essential when the objective is high productivity. But monitoring the culture growth and development requires practices that demand time and are often destructive. The growth modeling is a technique that provide accurate data more quickly about the response of the plant variety to the environment. The objective of the present work was analyze the logistic models and normal peak-log to estimate plant height and leaf area index, respectively, and determine the best time to sow maize in the region of the costal plains of Alagoas, Brazil. It was used the cultivar AL Bandeirante planted in randomized blocks at different times:28/06 (E1), 08/07 (E2), 18/07 (E3) and 28/07 2013 (E4). Both models showed significaticos adjustments (p <0.01),generating maximum correlation coefficients greater than 0.912. The Willmott coefficient of agreement indicated high approximation (0.999) between the estimated and observed. The period that provided the best crop yield for corn was on 8 July . The models were effective in representing the growth of culture on the basis of accumulated degree-days.
Modo de acesso: World Wide Web Inclui bibliografia 1. Agricultura 2. Ecologia.3. Tecnologia I. Título CDD-333.7369 O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos seus respectivos autores.
As fontes de energias alternativas são as principais indutoras da matriz energética mundial, entre as quais constam os biocombustíveis provenientes da biomassa. Nas últimas décadas, houve a necessidade de se investir em energias alternativas que possam mitigar as emissões de gases de efeito estufa, com destaque para o aproveitamento do potencial energético do biogás e a possibilidade de sua transformação em energia útil. Assim, objetivou-se com este trabalho estimar o potencial de geração de biogás em aterro sanitário no estado de Alagoas. O estudo avaliou a viabilidade da utilização de biodigestores para o aproveitamento energético do biogás produzido pela decomposição da matéria orgânica dos resíduos sólidos urbanos, os quais contêm significativa parcela de matéria orgânica biodegradável, que passam por um processo de digestão anaeróbia transformando lixo em energia de “baixo carbono”. O procedimento metodológico, adotado a partir da perspectiva de emissão de metano em aterros, se deu a partir da aplicação do método do Painel Intergovernamental sobre Mudanças Climáticas - IPCC, considerando entre outros fatores dados de população. O aterro sanitário que faz referência ao Consórcio Intermunicipal de Gestão dos Resíduos Sólidos (CIGRES) da bacia leiteira atende 16 municípios do sertão e da bacia leiteira eliminando, assim, os lixões da região. O aterro apresentou prospecção de gerar 4.123.267 entre o período apresentado (2015 – 2050) e até 2036, a previsão é do aterro gerar 2.342.391 , chegando a produzir em média 114.535,2 ano-1. A B S T R A C TAlternative energy sources are the main inductor of the world energy matrix, with biofuels from biomass as their main basis. In recent decades, there has been a need to invest in alternative energies that minimize the current stage of greenhouse gas emissions, as well as to show the energy potential of biogas and the possibility of transforming methane into useful energy, Biogas is a lucrative gas and mitigates the pollution problem. Thus, the present work aimed to estimate the potential for biogas generation in the landfill in the state of Alagoas. The study to be carried out is aimed at evaluating the feasibility of the use of biodigesters for the energetic use of biogas produced by the organic matter decomposition of solid urban waste, which contain a significant amount of biodegradable organic matter that goes through a Process of anaerobic digestion transforming litter into clean energy. The methodological procedure, adopted from the perspective of methane emission in landfills, was based on the application of the IPCC method, considering, among other factors, population data. The sanitary landfill that refers to the Intermunicipal Solid Waste Management Consortium (CIGRES) of the milk basin must attend 16 municipalities in the hinterland and the milk basin, thus eliminating the dumps in the region. The landfill has a prospect of generating 4,123,267 m3 CH4 between the period presented (2015 - 2050) and until 2036, the landfill will generate 2,342,391 m3 CH4, reaching an average of 114,535.2 m3 CH4 year-1.Keywords: biomass, alternative energy, CIGRES
Energy cane is a sugarcane variety obtained through genetic improvement and it has higher biomass production, essential for energy generation. Mathematical models for crop forecasts are excellent tools to support crops and can assist in the establishment of energy cane in different environments and in climate change scenarios. The objective of this work was to evaluate the impacts of climate change on energy cane yield simulated by the DSSAT/CANEGRO model in Alagoas, Northeast of Brazil. We used meteorological, crop and soil data from a field experiment conducted in Teotônio Vilela/AL in 2016 and 2017. The energy cane variety used was Vertix 2, cultivated in a plant cane cycle, with planting date on February 4, 2016, and harvesting date on January 31, 2017. Climate projections (2017-2060) were used based on RCPs (2.6, 4.5, 6.0 and 8.5). The model showed high precision and accuracy in simulations with values of 0.98 and 0.94 for fresh matter and 0.99 and 0.88 for dry matter, for d and r indices, respectively. In the RCP8.5 scenario, the yield reduction may be up to 15% (fresh matter) and 13.5% (dry matter) by 2060.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.