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Arcoverde,Sálvio N. S.; Cortez,Jorge W.; Olszevski,Nelci; Salviano,Alessandra M.; Giongo,Vanderlise. |
ABSTRACT The inadequate agricultural management in the semiarid region of northeastern Brazil, associated with the fragility of most soils, has caused degradation of the quality of this resource. This study aimed to evaluate the quality of Quartzipsamments under different uses through the multivariate analysis of chemical and physical attributes. Five areas were selected: four of them with agricultural use (onion, banana, cassava, and corn) and the other with Caatinga. Soil samples were collected at depths of 0.00–0.10, 0.10–0.20, and 0.20–0.40 m for chemical and physical analyses. The data were submitted to descriptive analysis and then to the multivariate analysis using the principal component analysis (PCA) technique and Ward’s clustering method. PCA... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Principal component; Quality indicator; Soil quality; Sandy soils. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000400457 |
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Pereira,Francisco Elder Carlos Bezerra; Martins,Cibele Chalita; Jeromini,Tatiane Sanches; Gomes-Junior,Francisco Guilhien; Torres,Salvador Barros. |
ABSTRACT Identifying fast and efficient tests to evaluate the vigor of forage grass seed lots is desirable in the quality control programs of the companies in this sector. Thus, the objective was to evaluate the efficiency of vigor tests on the physiological quality of seeds of Panicum maximum, cv. Mombasa, for the differentiation of lots and prediction of seedling emergence in the field. Nineteen seed lots were subjected to evaluations of moisture content, germination, first count, germination speed index, seedling emergence in sand, first count of seedling emergence in sand, seedling root and shoot lengths, seedling emergence in the field and computerized analysis of seedling images obtained through SVIS® software. The experimental design was completely... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Panicum maximum; SVIS®; Principal component; Vigor; Image analysis. |
Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000100407 |
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