Épocas de florescimento e colheita da nogueira-macadâmia para áreas cafeícolasda regiäo sudeste

Aparecido, Lucas Eduardo de Oliveira; Rolim, Glauco de Souza; Souza, Paulo Sergio de

doi:10.1590/0100-2945-288/13

Cited by 11 publications

(9 citation statements)

References 31 publications

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“…As colheitas estão concentradas entre os meses de fevereiro e abril (Sobierajski et al, 2007;Aparecido et al, 2014), entretanto, o maior consumo das nozes acontece no mês de dezembro, por ocasião das festas natalinas, quando também ocorrem os maiores preços para essas nozes. Apesar disso, o armazenamento dessa noz é pouco praticado pelos produtores, que temem a perda de qualidade do produto, pois há falta de informações confiáveis nesse segmento.…”

Section: A Macadâmia No Brasilunclassified

Armazenamento E Qualidade Da Noz Macadâmia

Ávila¹,

Palharini²,

Perdoná³

2015

ANAP

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RESUMO O cultivo e comercialização da macadâmia estão crescendo rapidamente no Brasil. As colheitas se concentram entre os meses de fevereiro a abril, porém, os melhores preços para a noz são alcançados no final do ano. O armazenamento nas propriedades pode ser uma estratégia para que os produtores consigam maiores preços de venda e tenham maior êxito nessa atividade, entretanto, existe o risco da perda da qualidade das nozes, o que acarretaria sérios prejuízos. Essa revisão objetivou agregar informações sobre o cultivo e armazenamento da noz macadâmia nas propriedades e sobre os métodos disponíveis para avaliar o sucesso do armazenamento nas condições brasileiras.

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Section: A Macadâmia No Brasilunclassified

Armazenamento E Qualidade Da Noz Macadâmia

Ávila¹,

Palharini²,

Perdoná³

2015

ANAP

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“…This system also may allow the cultivation of coffee in regions where the hydric and climatic conditions are unfavorable, in addition to the diversification of production and improvement of family income for smaller farmers (Camargo, 2010;. The cultivation of coffee in intercropped systems also offers other benefits, such as improving the conservation of soil humidity and decrease in wind damage (DaMatta and Ramalho, 2006;Pezzopane et al, 2010), as well as improving soil fertility (Vaast et al, 2005), decreasing coffee bienniality and occurrence of spontaneous plants , improving familiar labor and land use (Aparecido et al, 2014), and promoting financial return (Chung et al, 2013). Coconut palms from the dwarf group have been successfully used in intercropped coffee plantations.…”

Section: Introductionmentioning

confidence: 99%

Morpho-agronomic characterization of genotypes of Conilon coffee intercropped with dwarf coconut palms

Christo¹,

Rodrigues²,

Filho³

et al. 2018

Aust J Crop Sci

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The study of Coffea canephora genotypes at different environments, and the various edaphoclimatic characteristics and techniques used in the cropping systems is an important tool in the process of identifying those with higher adaptability to a particular scenario. The objective of this study was to characterize the development of Conilon coffee genotypes in an intercropping system with dwarf coconut palms. The experiment was carried out in the municipality of Colatina (Espírito Santo, Brazil), studying agronomic traits of genotypes of Conilon coffee in a completely randomized design and six repetitions. The eight treatments were composed by eight Brazilian improved genotypes of Conilon coffee and traits of growth, leafiness and fruit bearing were measured. It was possible to verify different behaviors among genotypes regarding tree architecture and fruit production. The genotypes 83 and 48 presented higher number of fruits per branch, besides vigorous growth, along with genotype 153 which presented larger leaves and higher content of chlorophyll b. Genotype 02 also had higher chlorophyll b content, but did not develop large leaves. The genotypes 16 and 100 presented lower levels of chlorophyll b but greater leaf development. Genotypes 03 and 76 are characterized by lower harvest yield. The biomass and the number of fruits per plagiotropic branch seem to be especially useful to study the variability and may ease future studies of variability among genotypes in intercropping systems.

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“…Simulation models can be used to efficiently evaluate the economic and climatic effects on crop supply (Vianna & Sentelhas, 2014;Shao et al, 2015). The models integrate information from several areas (Aparecido et al, 2014), from economic variables to crop agrometeorological conditions (Jame & Cutforth, 1996;Gouranga & Kumar, 2014). The models help producers in their strategic planning (Lucio et al, 2016) and decision-making in the production chain (Chipanshi et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Economic and climatic models for estimating coffee supply

Moraes-Oliveira

Aparecido

Figueira

2017

Pesq. agropec. bras.

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-The objective of this work was to estimate the coffee supply by calibrating statistical models with economic and climatic variables for the main producing regions of the state of São Paulo, Brazil. The regions were Batatais, Caconde, Cássia dos Coqueiros, Cristais Paulista, Espírito Santo do Pinhal, Marília, Mococa, and Osvaldo Cruz. Data on coffee supply, economic variables (rural credit, rural agricultural credit, and production value), and climatic variables (air temperature, rainfall, potential evapotranspiration, water deficit, and water surplus) for each region, during the period from 2000-2014, were used. The models were calibrated using multiple linear regression, and all possible combinations were tested for selecting the variables. Coffee supply was the dependent variable, and the other ones were considered independent. The accuracy and precision of the models were assessed by the mean absolute percentage error and the adjusted coefficient of determination, respectively. The variables that most affect coffee supply are production value and air temperature. Coffee supply can be estimated with multiple linear regressions using economic and climatic variables. The most accurate models are those calibrated to estimate coffee supply for the regions of Cássia dos Coqueiros and Osvaldo Cruz.Index terms: Coffea arabica, climate, econometrics, modelling, rural credit. Modelos econômicos e climáticos para estimativa da oferta cafeeiraResumo -O objetivo deste trabalho foi estimar a oferta cafeeira por meio da calibração de modelos estatísticos, com variáveis econômicas e climáticas, das principais regiões produtoras do Estado de São Paulo. As regiões estudadas foram Batatais, Caconde, Cássia dos Coqueiros, Cristais Paulista, Espírito Santo do Pinhal, Marília, Mococa e Osvaldo Cruz. Foram utilizados dados de oferta cafeeira, variáveis econômicas (crédito rural, crédito rural na agricultura e valor da produção) e variáveis climáticas (temperatura do ar, precipitação pluvial, evapotranspiração potencial, deficiência e excedente hídrico) de cada região, para o período de 2000-2014. Os modelos foram calibrados com uso de técnicas de regressão linear múltipla, e todas as combinações possíveis foram testadas para a seleção das variáveis. A oferta cafeeira foi a variável dependente, e as demais, as independentes. A acurácia e a precisão dos modelos foram analisadas pelo erro percentual médio e pelo coeficiente de determinação ajustado, respectivamente. As variáveis que mais influenciam a oferta cafeeira são o valor de produção e a temperatura do ar. É possível estimar a oferta cafeeira com regressões lineares múltiplas por meio de variáveis econômicas e elementos climáticos. Os modelos mais acurados são os calibrados para estimar a oferta cafeeira das regiões de Cássia dos Coqueiros e Osvaldo Cruz.

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Épocas de florescimento e colheita da nogueira-macadâmia para áreas cafeícolasda regiäo sudeste

Cited by 11 publications

References 31 publications

Armazenamento E Qualidade Da Noz Macadâmia

Armazenamento E Qualidade Da Noz Macadâmia

Morpho-agronomic characterization of genotypes of Conilon coffee intercropped with dwarf coconut palms

Economic and climatic models for estimating coffee supply

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