AgroDB - integration of database management systems with crop models.

IEMS

Valores de digestibilidade e composição química e bromatológica de alguns alimentos para suínos.

bitstream/item/58794/1/CUsersPiazzonDocuments152.pd

Efeito de Bacillus subtilis no tratamento de sementes de trigo.

Sementes de trigo variedade Anahuac, naturalmente contaminadas com Pyricularia oryzae, Helminthosporium sativum, e Alternaria tenuis, foram imersas por 5 horas em água e em suspensões contendo 5, 10 e 20% de células de Bacillus subtilis. Como tratamento padrão foi utilizado o fungicida Rovrim (iprodione + thiran) (250g/100kg sementes). Após tratamento, as sementes foram secas ao ar a temperatura ambiente por 48 horas, sendo a seguir realizados os testes de sanidade em papel de filtro com congelamento e emergência em solo natural e em areia esterilizada. A imersão nas suspensões contendo 20% e 10% de células de Bacillus subtilis inibiu a incidental de P. oryzae, H. sativum e A. tenuis em 50, 70 e 68%, respectivamente, quando comparados a testemunha. Quanto a emergência, não foi observada diferença significativa entre os tratamentos, sendo a emergência superior a 92% e 87%, respectivamente em areia e em solo

Sphingosine-1 phosphate induces cAMP/PKA-independent phosphorylation of the cAMP response element-binding protein (CREB) in granulosa cells

Background and aims: Sphingosine-1 phosphate (S1P) is a lysosphingolipid present in the ovarian follicular fluid. The role of the lysosphingolipid in gonads of the female is widely unclear. At nanomolar concentrations, S1P binds and activates five specific G protein-coupled receptors (GPCRs), known as S1P1-5, modulating different signaling pathways. S1P1 and S1P3 are highly expressed in human primary granulosa lutein cells (hGLC), as well as in the immortalized human primary granulosa cell line hGL5. In this study, we evaluated the signaling cascade activated by S1P and its synthetic analogues in hGLC and hGL5 cells, exploring the biological relevance of S1PR-stimulation in this context. METHODS AND RESULTS. hGLC and hGL5 cells were treated with a fixed dose (0.1 \u3bcM) of S1P, or by S1P1- and S1P3-specific agonists SEW2871 and CYM5541. In granulosa cells, S1P and, at a lesser extent, SEW2871 and CYM5541, potently induced CREB phosphorylation. No cAMP production was detected and pCREB activation occurred even in the presence of the PKA inhibitor H-89. Moreover, S1P-dependent CREB phosphorylation was dampened by the mitogen-activate protein kinase (MEK) inhibitor U0126 and by the L-type Ca2+ channel blocker verapamil. The complete inhibition of CREB phosphorylation occurred by blocking either S1P2 or S1P3 with the specific receptor antagonists JTE-013 and TY52156, or under PLC/PI3K depletion. S1P-dependent CREB phosphorylation induced FOXO1 and the EGF-like epiregulin-encoding gene (EREG), confirming the exclusive role of gonadotropins and interleukins in this process, but did not affect steroidogenesis. However, S1P or agonists did not modulate granulosa cell viability and proliferation in our conditions. Conclusions: This study demonstrates for the first time that S1P may induce a cAMP-independent activation of pCREB in granulosa cells, although this is not sufficient to induce intracellular steroidogenic signals and progesterone synthesis. S1P-induced FOXO1 and EREG gene expression suggests that the activation of S1P\u2013S1PR axis may cooperate with gonadotropins in modulating follicle development

Characterization of a new blackberry cultivar BRS Xingu: chemical composition, phenolic compounds, and antioxidant capacity in vitro and in vivo.

The cultivar BRS Xingu was launched by EMBRAPA in 2015 with the intention of presenting higher productivity. Due to the lack of studies on this cultivar, the objective was to present the physical?chemical, centesimal, and phenolic composition of the BRS Xingu blackberry, its antioxidant capacity, protection against ROS generation, and compare it with other commercialized cultivars such as Guarani, Tupy, and Xavante. The BRS Xingu was prominent regarding anthocyanin and condensed tannin content and superior to the other cultivars. Moreover, BRS Xingu presented higher antioxidant capacity, protection of C. elegans from ROS generation, and soluble solid content when compared to Tupy, which is the most cultivated variety in the world. In the new cultivar, five anthocyanins, five phenolic acids, and ten non-anthocyanin flavonoids were identified. BRS Xingu is presented as an alternative blackberry with potential for industrialization and in natura consumption

Implementação e comparação de técnicas de machine learning aplicadas à predição do desenvolvimento de populações de afídeos.

Resumo: Os insetos ao atingirem um determinado nível populacional podem causar danos às plantas, sendo considerados pragas. Afídeos ou pulgões apresentam um alto potencial biótico e podem causar diferentes tipos de dano às plantas. Fatores meteorológicos como precipitações, ventos e temperatura interferem no crescimento populacional destes insetos. Este trabalho aplicou diferentes técnicas de machine learning com o objetivo de verificar a correlação existente entre variáveis meteorológicas e a dinâmica populacional dos afídeos. Foram implementados 4 (quatro) modelos obtendo-se as acurácias de 11,4% para Regressão Linear; 26,4% para o modelo de Rede Neural Artificial; 29,3% para Árvore de decisão e 41,4% para random forest. Abstract: Insects have an important degree of collaboration for the maintenance of the ecosystem on the planet. However, after reaching a certain population level and causing damage to plants, some insects are considered as pests and represent a threat to agriculture. Aphids insects that has characteristics to reach this state as it has a high biotic potential and can cause different types of damage to plants. Climatic data as precipitation, winds and temperatures affect the population quantity of these insects. Therefore, this work proposes to apply different machine learning techniques with the objective to verify the existing correlation between climatic variables and the population dynamics of aphids. It can be concluded that variables such as precipitation, temperature, number of days when it rains in the week and climatic phenomena such as El niño and La niña have an influence on the aphid population. During the work, four models were developed in order to predict the population of these insects. The accuracy of the prediction model developed were 11.4% for Linear Regression; 26.4% for the Artificial Neural Network model; 29.3% for Decision Tree and 41.4% for Random Forest

Geographic Variability in Access to Primary Kidney Transplantation in the United States, 1996–2005

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75057/1/j.1600-6143.2007.01785.x.pd

Produção e composição do mosto de videiras submetidas à adição de doses de nitrogênio via fertirrigação e seguido de irrigação.

XV Congresso Latino-Americano de Viticultura e Enologia E XIII Congresso Brasileiro de Viticultura e Enologia. Bento Gonçalves-RS, 3 a 7 de Novembro de 2015