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Author(s): PESTANANA, R. K. N.; AMORIM, E. P.; FERREIRA, C. F.; AMORIM, V. B. de O.; OLIVEIRA, L. S.; LEDO, C. A. da S.; SILVA, S. de O. e. Bananas are tropical fruits grown world-wide playing a key role in market trade and especially used as main food source for low income populations. In Brazil, bananas are mainly consumed in natura, oc... ... |
Author(s): PORTELA, M. G. T.; LEITE, L. F. C.; BARBOSA, R. P. The objective of this work was to evaluate the microbiological attributes of a Plinthossol cropped with sugar cane in straw. |
Author(s): SANTOS, C. M.; MARTINS, N. F.; HORBERG, H. M.; ALMEIDA, E. R. de; COELHO, M. C.; ROGAWA, R. C.; SILVA, F. R. da; MILLER, R. N.; SOUZA JUNIOR, M. T. In order to discover genes expressed in leaves of Musa acuminata ssp. burmannicoides var. Calcutta 4 (AA), from plants submitted to temperature stress, we produced and characterized two full-length en... ... |
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Author(s): PEREIRA, M. A.; ALMEIDA, R. G. de; GOTARDO, N. L.
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Author(s): OLIVEIRA, G. F.; MIRANDA, T. L. R.; NASCIMENTO, A. C. C.; NASCIMENTO, M.; CAIXETA, E. T.; SILVA, L. de F.; ALKIMIM, E. R.; SILVA, F. L. da Coffee growing is one of the most important agricultural activities in the world market. Among the commercially relevant species, there is Coffea canephora,which can be divided into the varietal group... ... |
Author(s): HIDALGO CHÁVEZ, D. W.; SILVA, F. L. C. DA; PINTO, R. V.; CARVALHO, C. W. P. de; FREITAS-SILVA, O. This article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extru... ... |
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Author(s): IWAMA, A. Y.; BATISTELLA, M.; FERREIRA, L. DA. C. The objectives of this work were: (i) identified the risk areas of landslides, flooding and sea level rise and social vulnerabilities in different scales of analysis; (ii) analyse the risk perception... ... |
Author(s): FASIABEN, M. do C. R.; OLIVEIRA, A. de; MARIM, F.; MAIA, A.; ALMEIDA, M.; OLIVEIRA, O. de This paper addresses the classification and characterization of the sugarcane producing municipalities in Brazil, using techniques of multivariate statistical analysis (factor and cluster analysis). |
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