Efeitos da época de semeadura sobre a composição química e a produtividade de grãos de diversas cultivares de soja no oeste da Bahia.

O objetivo deste trabalho foi avaliar o efeito de quatro épocas de semeadura sobre os teores de óleo e proteínas e sobre a produtividade de grãos de cinco cultivares de soja na região oeste da Bahia. Os ensaios foram conduzidos na Fazenda Maria Gabriela, município de São Desidério, BA, no ano agrícola 2006/2007. O delineamento foi em blocos ao acaso no esquema de parcelas subdividas, em que as parcelas principais foram constituídas pelas épocas de semeadura: primeira época ou Ep1 (29/11/2006), segunda época ou Ep2 (14/12/2006), consideradas preferenciais para a região, terceira época ou Ep3 (28/12/2007) e quarta época ou Ep4 (12/1/2007), sendo as duas últimas consideradas tardias. Em cada época, foram conduzidas cinco cultivares de soja: Msoy 8411 (precoce), BRS Corisco (médio), BRS 263 (precoce), BRS Barreiras (tardio) e Msoy 9350 (tardio), que constituíram as subparcelas, em quatro repetições. Foram determinados a produtividade e os teores de óleo e proteínas nos grãos. Os dados coletados foram submetidos à análise de variância, sendo as médias comparadas pelo teste de Tukey a 5% de probabilidade. As épocas de semeadura do período preferencial - Ep1 (29/11/2006) e Ep2 (14/12/2006) - tendem a aumentar o teor de óleo e reduzir os teores de proteína, enquanto as semeaduras tardias - Ep3 (28/12/2006) e Ep4 (12/01/2007) - não foram favoráveis à obtenção de produtividades superiores para a soja no oeste da Bahia

Metodologia científica: protocolo para avaliação sensorial de carne bovina.

bitstream/CPPSE-2010/18949/1/PROCIComT92RTN2009.00298.pd

Deep computer vision system for cocoa classification

Cocoa hybridisation generates new varieties which are resistant to several plant diseases, but has individual chemical characteristics that affect chocolate production. Image analysis is a useful method for visual discrimination of cocoa beans, while deep learning (DL) has emerged as the de facto technique for image processing. However, these algorithms require a large amount of data and careful tuning of hyperparameters. Since it is necessary to acquire a large number of images to encompass the wide range of agricultural products, in this paper, we compare a Deep Computer Vision System (DCVS) and a traditional Computer Vision System (CVS) to classify cocoa beans into different varieties. For DCVS, we used a Resnet18 and Resnet50 as backbone, while for CVS, we experimented traditional machine learning algorithms, Support Vector Machine (SVM), and Random Forest (RF). All the algorithms were selected since they provide good classification performance and their potential application for food classification A dataset with 1,239 samples was used to evaluate both systems. The best accuracy was 96.82% for DCVS (ResNet 18), compared to 85.71% obtained by the CVS using SVM. The essential handcrafted features were reported and discussed regarding their influence on cocoa bean classification. Class Activation Maps was applied to DCVS’s predictions, providing a meaningful visualisation of the most important regions of the images in the model

Mapeamento genético da resistência a murcha do fusario em feijoeiro comum.

Este trabalho objetivou identificar marcadores microssatélites ligados a genes de resistência a Fusarium oxysporum f. sp. phaseoli em feijoeiro comum

Marcadores moleculares funcionais associados com resistência a murcha de fusário em feijoeiro comum.

Este trabalho objetivou selecionar marcadores microssatélites polimórficos em populações segregantes derivadas dos cruzamentos entre cultivares resistentes (Milionário 1732 ou FT Tarumã) e susceptível (Macanudo) à murcha do fusário

Biomimetic coatings enhance tribocorrosion behavior and cell responses of commercially pure titanium surfaces

CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIORFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOBiofunctionalized surfaces for implants are currently receiving much attention in the health care sector. Our aims were ( 1) to create bioactive Ti-coatings doped with Ca, P, Si, and Ag produced by microarc oxidation ( MAO) to improve the surface properties of biomedical implants, ( 2) to investigate the TiO2 layer stability under wear and corrosion, and ( 3) to evaluate human mesenchymal stem cells ( hMSCs) responses cultured on the modified surfaces. Tribocorrosion and cell experiments were performed following the MAO treatment. Samples were divided as a function of different Ca/P concentrations and treatment duration. Higher Ca concentration produced larger porous and harder coatings compared to the untreated group ( p<0.001), due to the presence of rutile structure. Free potentials experiments showed lower drops ( 0.6 V) and higher coating lifetime during sliding for higher Ca concentration, whereas lower concentrations presented similar drops ( 0.8 V) compared to an untreated group wherein the drop occurred immediately after the sliding started. MAO-treated surfaces improved the matrix formation and osteogenic gene expression levels of hMSCs. Higher Ca/P ratios and the addition of Ag nanoparticles into the oxide layer presented better surface properties, tribocorrosive behavior, and cell responses. MAO is a promising technique to enhance the biological, chemical, and mechanical properties of dental implant surfaces. (C) 2016 American Vacuum Society.Biofunctionalized surfaces for implants are currently receiving much attention in the health care sector. Our aims were ( 1) to create bioactive Ti-coatings doped with Ca, P, Si, and Ag produced by microarc oxidation ( MAO) to improve the surface properties of biomedical implants, ( 2) to investigate the TiO2 layer stability under wear and corrosion, and ( 3) to evaluate human mesenchymal stem cells ( hMSCs) responses cultured on the modified surfaces. Tribocorrosion and cell experiments were performed following the MAO treatment. Samples were divided as a function of different Ca/P concentrations and treatment duration. Higher Ca concentration produced larger porous and harder coatings compared to the untreated group ( p<0.001), due to the presence of rutile structure. Free potentials experiments showed lower drops ( 0.6 V) and higher coating lifetime during sliding for higher Ca concentration, whereas lower concentrations presented similar drops ( 0.8 V) compared to an untreated group wherein the drop occurred immediately after the sliding started. MAO-treated surfaces improved the matrix formation and osteogenic gene expression levels of hMSCs. Higher Ca/P ratios and the addition of Ag nanoparticles into the oxide layer presented better surface properties, tribocorrosive behavior, and cell responses. MAO is a promising technique to enhance the biological, chemical, and mechanical properties of dental implant surfaces.113114CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIORFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIORFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO11838-13-22013/08451-1The authors would like to thank the University of Illinois at Chicago for providing the facilities to perform this study, Rush University Medical Center on behalf of R. Urban for the SEM facility, Denise Carleto Andia for providing the human bone marrow stromal cells for some cell experiments, Rafael Parra from Univ Estadual Paulista (Sorocaba, Brazil) for his contribution and support in the Plasma Technology Laboratory, the Coordination for the Improvement of Higher Level Personnel (CAPES) from Brazil for the doctoral fellowship of the first author (PDSE Proc. 11838-13-2), the State of Sao Paulo Research Foundation (FAPESP) for Grant No. 2013/08451-1, the National Science Foundation (NSF) for Grant No. 1067424, and finally financial support from NIH R03 AR064005

Domain scaling and marginality breaking in the random field Ising model

A scaling description is obtained for the $d$--dimensional random field Ising model from domains in a bar geometry. Wall roughening removes the marginality of the $d=2$ case, giving the $T=0$ correlation length $\xi \sim \exp\left(A h^{-\gamma}\right)$ in $d=2$, and for $d=2+\epsilon$ power law behaviour with $\nu = 2/\epsilon \gamma$, $h^\star \sim \epsilon^{1/\gamma}$. Here, $\gamma = 2,4/3$ (lattice, continuum) is one of four rough wall exponents provided by the theory. The analysis is substantiated by three different numerical techniques (transfer matrix, Monte Carlo, ground state algorithm). These provide for strips up to width $L=11$ basic ingredients of the theory, namely free energy, domain size, and roughening data and exponents.Comment: ReVTeX v3.0, 19 pages plus 19 figures uuencoded in a separate file. These are self-unpacking via a shell scrip

Hahn's Symmetric Quantum Variational Calculus

We introduce and develop the Hahn symmetric quantum calculus with applications to the calculus of variations. Namely, we obtain a necessary optimality condition of Euler-Lagrange type and a sufficient optimality condition for variational problems within the context of Hahn's symmetric calculus. Moreover, we show the effectiveness of Leitmann's direct method when applied to Hahn's symmetric variational calculus. Illustrative examples are provided.Comment: This is a preprint of a paper whose final and definite form will appear in the international journal Numerical Algebra, Control and Optimization (NACO). Paper accepted for publication 06-Sept-201

Acúmulo de macronutrientes em plantas de milho adubadas com pó de balão.

Fertbio 2012