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| Esse,Carlos; Donoso,Pablo J; Gerding,Víctor; Encina-Montoya,Francisco. |
| C. Esse, PJ. Donoso, V. Gerding, and F. Encina-Montoya. 2013. Determination of homogeneous edaphoclimatic zones for the secondary forests of Nothofagus dombeyi in central-southern Chile. Cien. Inv. Agr. 40(2): 351-360. Nothofagus dombeyi grows in a wide variety of sites in Chile (30-47°S), but there is little knowledge about its productive potential. This lack of information hinders decision-making to better guide the production of goods and services from these forests. This study was conducted in central-southern Chile (39°S-41°S), where this species is prominent, especially in secondary forests. The aim of the study was to determine the homogeneous edaphoclimatic zones for secondary forests of N. dombeyi based on the integration of environmental factors.... |
| Tipo: Journal article |
Palavras-chave: CART; Biophysical factors; Edaphoclimatic zones; K-means. |
| Ano: 2013 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202013000200010 |
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| Schemberger,Elder E.; Fontana,Fabiane S.; Johann,Jerry A.; Souza,Eduardo G. De. |
| ABSTRACT Precision Agriculture (PA) uses technologies with the aim of increasing productivity and reducing the environmental impact by means of site-specific application of agricultural inputs. In order to make it economically feasible, it is essential to improve the current methodologies as well as proposing new ones, in which data regarding productivity, soil, and compound indicators are used to determine Management Areas (MAs). These units are heterogeneous areas within the same region. With these methodologies, data mining (DM) techniques and algorithms may be used. In order to integrate DM techniques to PA, the aim of this study was to associate MAs created for soy productivity using the Fuzzy C-means algorithm by SDUM software over a 9.9-ha plot as... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Algorithms; EM; KDD; K-means; Weka. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000100185 |
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| Oliveira,Elisa Junqueira; Savegnago,Rodrigo Pelicioni; Freitas,Luara Afonso de; Freitas,Anielly Paula; Maia,Suellen Rodrigues; Simili,Flávia Fernanda; Faro,Lenira El; Costa,Ricardo Lopes Dias da; Santana Júnior,Mário Luiz; Paz,Claudia Cristina Paro de. |
| Abstract: The objective of this work was to estimate genetic parameters for traits related to resistance to endoparasites in Santa Inês sheep, for a possible inclusion in sheep breeding programs, as well as to evaluate the additive genetic pattern of the animals using cluster analyzes, in order to assess whether there are groups within the population that can be used as candidates for selection for resistance to endoparasites. The studied traits were: Famacha score, fecal egg counts (FEC), packed cell volume (PCV), total plasma protein (TPP), body condition score (BCS), and body weight (BW). Heritability estimates ranged from 0.17 (0.05) for TPP to 0.31 (0.07) for BCS. The cluster analyzes based on the breeding values identified four clusters. Famacha and... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cluster analysis; Famacha; Genetic correlation; Heritability; K-means; Multivariate analysis. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018001201338 |
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