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| Guimarães,Bruno V. C.; Donato,Sérgio L. R.; Azevedo,Alcinei M.; Aspiazú,Ignacio; Silva Junior,Ancilon A. e. |
| ABSTRACT Estimating cactus pear yield is important for the planning of small and medium rural producers, especially in environments with adverse climatic conditions, such as the Brazilian semi-arid region. The objective of this study was to evaluate the potential of artificial neural networks (ANN) for predicting yield of ‘Gigante’ cactus pear, and determine the most important morphological characters for this prediction. The experiment was conducted in the Instituto Federal Baiano, Guanambi campus, Bahia, Brazil, in 2009 to 2011. The area used is located at 14° 13’ 30” S and 42° 46’ 53” W, and its altitude is 525 m. Six vegetative agronomic characters were evaluated in 500 plants in the third production cycle. The data were subjected to ANN analysis using... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Yield estimation; Artificial logic; Production; Opuntia fícus indica. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000500315 |
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| Guimarães,Bruno V. C.; Donato,Sérgio L. R.; Aspiazú,Ignacio; Azevedo,Alcinei M.; Carvalho,Abner J. de. |
| ABSTRACT The definition of experimental plot size is an essential tool to ensure precision in statistical analysis in experiments. The objective of this study was to estimate the plot size for the cactus pear cv. Gigante using the Modified Maximum Curvature Method, under the semi-arid conditions of Northeastern Brazil. The uniformity test was conducted at the Federal Institute of Bahia, Guanambi Campus, Bahia state, Brazil, during the agricultural period from 2009 to 2011. The spatial arrangement was composed of ten rows with 50 plants each, whose evaluated area was formed by the eight central rows with 48 plants per row, making 384 plants and area of 153.60 m2. The following variables were evaluated: plant height; length, width and thickness of cladode;... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Uniformity; Descriptors; Opuntia ficus-indica. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000500347 |
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