Discrimination of soybean seed lots by multivariate exploratory techniques

Physiological potential characterization of seed lots is usually performed by germination and vigor tests; however, the choice of a single test does not reflect such potential, once each test assesses seeds of differentiated mode. Multivariate techniques allow understanding structural dependence contained in each variable, as well as characterize groups of seed lots according to specific standards. The study aimed at evaluating variability among soybean seed lots and discriminate these lots by multivariate exploratory techniques as function of seed vigor. Experiment was performed with 20 soybean seed lots (10 lots cv. BRS Valiosa RR and 10 lots cv. M-SOY 7908 RR). Seed physiological potential was assessed by testing for: germination (standard, and under different water availability); vigor (accelerated aging and electrical conductivity); and field seedling emergence. Cluster analysis of seed lots, as well as Principal Component Analysis was performed using data obtained on all tests. Multivariate techniques allowed stratifying seed lots into two distinct groups. Principal Component Analysis showed that values obtained for variables: field seedling emergence, accelerated aging, and germination under different water availability were linked to BRS Valiosa RR; while to variables germination and electrical conductivity, were linked to M-SOY 7908 RR.

Isotopic Discrimination Factors (Delta C-13 and Delta N-15) between Tissues and Diet of the Broad-Snouted Caiman (Caiman latirostris)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

TACTILE CARTOGRAPHY EXPERIENCES IN BRAZIL: METHODOLOGIES AND DIDACTICAL MATERIAL WITH TECHNOLOGICAL RESOURCES FOR INCLUSION OF BLIND AND LOW VISION STUDENTS

The tactile cartography is an area of Cartography that aims the development of methodologies and didactical material to work cartographic concepts with blind and low vision people. The main aim of this article is to present the experience of Tactile Cartography Research Group from Sao Paulo State University (UNESP), including some didactical material and courses for teachers using the System MAPAVOX. The System MAPAVOX is software developed by our research group in a partnership with Federal University of Rio de Janeiro (UFRJ) that integrates maps and models with a voice synthesizer, sound emission, texts, images and video visualizing for computers. Our research methodology is based in authors that have in the students the centre of didactical activity such as Ochaita and Espinosa in [1], which developed studies related to blind children's literacy. According to Almeida the child's drawing is, thus, a system of representation. It isn't a copy of objects, but interpretation of that which is real, done by the child in graphic language[2]. In the proposed activities with blind and low vision students they are prepared to interpret reality and represent it by adopting concepts of graphic language learned. To start the cartographic initialization it is necessary to use personal and quotidian references, for example the classroom tactile model or map, to include concepts in generalization and scale concerning to their space of life. During these years many case studies were developed with blind and low vision students from Special School for Hearing Impaired and Visually Impaired in Araras and Rio Claro, Sao Paulo - Brazil. The most part of these experiences and others from Brazil and Chile are presented in [3]. Tactile material and MAPAVOX facilities are analysed by students and teachers who contribute with suggestions to reformulate and adapt them to their sensibility and necessity. Since 2005 we offer courses in Tactile Cartography to prepare teachers from elementary school in the manipulation of didactical material and attending students with special educational needs in regular classroom. There were 6 classroom and blended courses offered for 184 teachers from public schools in this region of the Sao Paulo state. As conclusion we can observe that methodological procedures centred in the blind and low vision students are successful in their spatial orientation if use didactical material from places or objects with which they have significant experience. During the applying of courses for teachers we could see that interdisciplinary groups can find creative cartographic alternatives more easily. We observed too that the best results in methodological procedures were those who provided concreteness to abstract concepts using daily experiences.

Fractal descriptors for discrimination of microscopy images of plant leaves

This study proposes the application of fractal descriptors method to the discrimination of microscopy images of plant leaves. Fractal descriptors have demonstrated to be a powerful discriminative method in image analysis, mainly for the discrimination of natural objects. In fact, these descriptors express the spatial arrangement of pixels inside the texture under different scales and such arrangements are directly related to physical properties inherent to the material depicted in the image. Here, we employ the Bouligand-Minkowski descriptors. These are obtained by the dilation of a surface mapping the gray-level texture. The classification of the microscopy images is performed by the well-known Support Vector Machine (SVM) method and we compare the success rate with other literature texture analysis methods. The proposed method achieved a correctness rate of 89%, while the second best solution, the Co-occurrence descriptors, yielded only 78%. This clear advantage of fractal descriptors demonstrates the potential of such approach in the analysis of the plant microscopy images.

Discrimination of production environments of specialty coffees by means of stable isotopes and discriminant model

The south of Minas Gerais, Brazil stands out among various regions through its capacity for production of specialty coffees. Its potential, manifested through being one of the most award-winning Brazilian regions in recent years, has been recognized by the Cup of Excellence (COE). With the evident relationship between product quality and the environment in mind, the need arises for scientific studies to provide a foundation for discrimination of product origin, creating new methods for combating possible fraud. The aim of this study was to evaluate the use of carbon and nitrogen isotopes in discrimination of production environments of specialty coffees from the Serra da Mantiqueira of Minas Gerais by means of the discriminant model. Coffee samples were composed of ripe yellow and red fruits collected manually at altitudes below 1,000 m, from 1,000 to 1,200 m and above 1,200 m. The yellow and red fruits were subjected to dry processing and wet processing, with five replications. A total of 119 samples were used for discrimination of specialty coffee production environments by means of stable isotopes and statistical modeling. The model generated had an accuracy rate of 89% in discrimination of environments and was composed of the isotope variables of δ15N, δ13C, %C, %N, δD, δ18O (meteoric water) and sensory analysis scores. In addition, for the first time, discrimination of environments on a local geographic scale, within a single municipality, was proposed and successfully concluded. This shows that isotope analysis is an effective method in verifying geographic origin for specialty coffees.