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| MARTINS, A. L. da S.; MOURA, E. G. de; CAMACHO-TAMAYO, J. H.. |
| The characterization of the soil spatial variability allows a better understanding of the relationships between the soil attributes and the environment. The objective of the study was to evaluate the spatial variability of corn production parameters and their relationship with soil chemical attributes. The study was carried out in the municipality of Miranda do Norte (MA, Brazil) in a Typic Plinthaquults. A mesh of 113 points was designed, taking samples at regular distances of 10 m, determining pH, organic material, P, K, Ca, Mg, and exchangeable acidity. The corn production parameters were ear weight, weight of 100 grains, and yield. The results were analyzed by means of descriptive statistics and geostatistical techniques. The pH and the weight of 100... |
| Tipo: Separatas |
Palavras-chave: Spatial structure; Zea Mays L.; Kriging; Precision agriculture.. |
| Ano: 2011 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/921474 |
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| Laloë, D.; Moazami-Goudarzi, K.; Lenstra, J.A.; Marsan, P.A.; Azor, P.; Baumung, R.; Bradley, D.G.; Bruford, M.W.; Canon, J.; Dolf, G.; Dunner, S.; Erhardt, G.; Hewitt, G.; Kantanen, J.; Obexer-Ruff, G.; Olsaker, I.; Rodellar, C.; Valentini, A.; Wiener, P.; INRA, Institut National de la Recherche Agronomique (FRA); European Cattle Genetic Diversity Consortium (INT). |
| The introduction of livestock species in Europe has been followed by variousgenetic events, which created a complex spatial pattern of genetic differentiation. Spatialprincipal component (sPCA) analysis and spatial metric multidimensional scaling (sMDS)incorporate geography in multivariate analysis. This method was applied to threemicrosatellite data sets for 45 goat breeds, 46 sheep breeds, and 101 cattle breeds fromEurope, Southwest Asia, and India. The first two sPCA coordinates for goat and cattle, andthe first sPCA coordinate of sheep, correspond to the coordinates of ordinary PCAanalysis. However, higher sPCA coordinates suggest, for all three species, additionalspatial structuring. The goat is the most geographically structured species, followed... |
| Tipo: Journal Article |
Palavras-chave: cattle; Sheep; Goat; Diversity; Spatial structure; PCA; SPCA; Multidimensional; Scaling; Moran’s I. |
| Ano: 2010 |
URL: http://www.prodinra.inra.fr/prodinra/pinra/doc.xsp?id=PROD201171b6cbcd&uri=/notices/prodinra1/2011/06/ |
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