Índice de cobertura verde para imagens de altíssima resolução.

The low altitude aerial images are becoming more common every day due to low cost and ease of use of platforms such as remotely piloted aircraft. The potential application of this type of data is very high. One example is the precision agriculture, a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops, an activity than can greatly benefit from this technology. The low altitude of image acquisition allows very high level of scene details but aggravates problems such as lighting variation and image deformation. In addition, often common cameras are used in different situations altitude, inclination, lighting and camera setup. These specific characteristics in relation to the orbital data require development of new methods and approaches to exploit the potential of data and to mitigate problems and limitations. In this work, we present a proposal for a method that provides a green coverage index. It reflects the green pixels density in an area. The proposed index has similar applicability to vegetation indices but does not require near-infrared data, not available in common cameras. We show problems especially related to agriculture applications, present initial test results discuss the possibilities and limitations of the method

Relevance of additive and non-additive genetic relatedness for genomic prediction in rice population under recurrent selection breeding

In genomic recurrent selection programs of self-pollinated crops, additive genetic effects (breeding values) are effectively relevant for selection of superior progenies as new parents. However, considering additive and nonadditive genetic effects can improve the prediction of genome-enhanced breeding values (GEBV) of progenies, for quantitative traits. In this study, we assessed the magnitude of additive and nonadditive genetic variances for eight key traits in a rice population under recurrent selection, using marker-based relationship matrices. We then assessed the goodness-to-fit, bias, stability and accuracy of prediction for breeding values and total (additive plus nonadditive) genetic values, in five genomic best linear unbiased prediction (GBLUP) models, ignoring or not nonadditive genetic effects. The models were compared using 6174 single nucleotide polymorphisms (SNP) markers from 174 S1:3 progenies evaluated in field yield trial. We found dominance effects accounting for a substantial proportion of the total genetic variance for the key traits in rice, especially for days to flowering. In average of the traits, the component of variance additive, dominance, and epistatic contributed to about 34%, 14% and 9% for phenotypic variance. Additive genomic models, ignoring nonadditive genetic effects, showed better fit to the data and lower bias, in addition to greater stability and accuracy for predict GEBV of progenies. These results improve our understanding of the genetic architecture of the key traits in rice, evaluated in early-generation testing. Clearly, this study highlighted the advantages of additive models using genome-wide information, for genomic prediction applied to recurrent selection in a self-pollinated crop

Uso do modelo CROPGRO-Drybean na determinação das melhores datas de semeadura da "seca" para a região de Viçosa, MG.

O presente trabalho teve como objetivo, aplicar o modelo CROPGRO-Drybean, calibrado e testado, para a determinação das melhores datas de semeadura da ?seca? de três cultivares de feijão (Pérola, Ouro Negro e Ouro Vermelho), em condições de sequeiro, cultivados na região de Viçosa, estado de Minas Gerais. Realizou-se a simulação da produtividade do feijoeiro com base em dados de 31 safras compreendidas entre o período de 1975 a 2006. As simulações foram baseadas em dados meteorológicos diários de temperaturas máxima e mínima do ar, precipitação pluvial e radiação solar global, características físicohídricas do solo e dados de manejo da cultura. Por meio das análises realizadas nas simulações, observou-se que quanto mais tardio o plantio, menor a produtividade do feijão ?da seca? simulado para as três cultivares

Recomendações técnicas de manejo para o cultivo da mandioca em agricultura familiar no Meio-Norte do Brasil.

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Avaliação de cultivares e híbridos de bananeira em área de encosta no Vale do Rio siriji, PE (1º ciclio).

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Photocatalytic degradation of Rhodamine B dye by cotton textile coated with SiO2-TiO2 and SiO2-TiO2-HY composites

This work is devoted to study the photocatalytic ability of cotton textiles functionalized with SiO2-TiO2 and SiO2-TiO2-HY composites to degrade a dye molecule. Coatings were prepared by sol-gel method and calcined at different temperatures in a range of 400–750 °C. FTIR confirmed the existence of SiOTi bounds and the band located in the region between 570 and 600 cm−1 was used to calculate the framework Si/Al ratio of HY in the SiO2-TiO2-HY composites. XRD confirmed the presence of nanosized TiO2 (anatase phase) in all calcined composites. Nitrogen adsorption isotherms showed a decrease in surface area and pore volume for higher calcination temperature. A simple mechanical process was used to impregnate the different composites on the cotton substrates. The photocatalytic activity of cotton textiles functionalized with SiO2-TiO2 and SiO2-TiO2-HY composites was tested via the degradation of Rhodamine B (RhB) dye under similar solar irradiation. The best catalytic performance was achieved with the SiO2-TiO2 and SiO2-TiO2-HY composites subjected to a calcination treatment at 400 °C, whereas SiO2-TiO2 presented a decolourization and mineralization around 94% and 89%, respectively, after 2 h of irradiation. Furthermore, the products of RhB degradation were analysed and identified by using HPLC-ESI–MS and ion chromatography techniques and a photocatalytic mechanism was proposed.The authors thank CAPES from Brazil for the financial support of this work. This work is also a result of project “AIProcMat@N2020 − Advanced Industrial Processes and Materials for a Sustainable Northern Region of Portugal 2020”, with the reference NORTE-01-0145-FEDER-000006 and the project BioTecNorte (operation NORTE-01-0145-FEDER-000004), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). This work also has been funded by ERDF through COMPETE2020 − Programa Operacional Competitividade e Internacionalização (POCI), Project POCI-01-0145-FEDER-006984 − Associate Laboratory LSRE-LCM and by national funds through FCT − Fundacão para a Ciência e a Tecnologia for project PTDC/AAGTEC/5269/2014 and Centre of Chemistry (UID/QUI/00686/2013 and UID/QUI/0686/2016).info:eu-repo/semantics/publishedVersio

Ensaio regional de linhagens de arroz irrigado do Programa de Melhoramento Genético da Embrapa no RS - safra 2008/09.

O Ensaio Regional de linhagens de arroz irrigado visa selecionar genótipos que apresentem alta adaptabilidade e estabilidade aos diversos ambientes em que são cultivadas e que expressem elevado rendimento de grãos, associado à características agronômicas, industriais e culinárias adequadas. Este experimento teve como objetivo avaliar linhagens do programa da Embrapa no Ensaio Regional de Rendimento

Desempenho de linhagens elites de arroz irrigado de ciclo precoce do Programa de Melhoramento Genético da Embrapa em ensaios VCU no RS - safra 2008/09.

O objetivo deste trabalho foi avaliar o desempenho em rendimento de grãos e características agronômicas de interesse das linhagens de ciclo precoce geradas pelo programa de melhoramento genético da Embrapa, em diferentes regiões orizícolas do Rio Grande do Sul, para verificar a possibilidade de indicação de novas cultivares

Comportamento de híbridos de bananeira no vale do rio Siriji, Pernambuco.

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