Strategy of specification of management areas: rice grain yield as related to soil fertility

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

The megalopa and early juvenile stages of Calappa tortugae Rathbun, 1933 (Crustacea, Brachyura) reared in the laboratory from South Carolina neuston samples

Neuston samples collected from the Charleston Bump region off the coast of South Carolina, U.S.A., during the summers of 2002 and 2003 consistently included a decapod species of undetermined identity with a large brachyuran megalopa. Despite their resemblance to some calappids, it was impossible to make a definitive identification based solely on general morphology. Therefore, additional neuston tows were taken on the continental shelf near Charleston, during the summer of 2004 to obtain these living megalopae. These were raised successfully through five juvenile stages at the Southeastern Regional Taxonomic Center (SERTC) laboratory. The morphology of the juveniles provided evidence that they are megalopae of Calappa tortugae Rathbun, 1933. Comparisons with megalopae of Hepatus epheliticus (Linnaeus, 1763), H. pudibundus (Herbst, 1785), Calappa flammea (Herbst, 1794) and Cryptosoma balguerii (Desbonne, 1867) are presented here. This is the first complete description of the megalopa morphology of a member of the genus Calappa Weber, 1795 from the Western Atlantic, and it is helpful for taxonomic, systematic and ecological purposes.

Delineation of specific management areas for coffee cultivation based on the soil-relief relationship and numerical classification

Predicting and mapping productivity areas allows crop producers to improve their planning of agricultural activities. The primary aims of this work were the identification and mapping of specific management areas allowing coffee bean quality to be predicted from soil attributes and their relationships to relief. The study area was located in the Southeast of the Minas Gerais state, Brazil. A grid containing a total of 145 uniformly spaced nodes 50 m apart was established over an area of 31. 7 ha from which samples were collected at depths of 0. 00-0. 20 m in order to determine physical and chemical attributes of the soil. These data were analysed in conjunction with plant attributes including production, proportion of beans retained by different sieves and drink quality. The results of principal component analysis (PCA) in combination with geostatistical data showed the attributes clay content and available iron to be the best choices for identifying four crop production environments. Environment A, which exhibited high clay and available iron contents, and low pH and base saturation, was that providing the highest yield (30. 4l ha-1) and best coffee beverage quality (61 sacks ha-1). Based on the results, we believe that multivariate analysis, geostatistics and the soil-relief relationships contained in the digital elevation model (DEM) can be effectively used in combination for the hybrid mapping of areas of varying suitability for coffee production. © 2012 Springer Science+Business Media New York.