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| Klein,Daniela Regina; Vale,Marcos Martinez do; Silva,Mariana Fernandes Ribas da; Kuhn,Micheli Faccin; Branco,Tatiane; Santos,Mauricio Portella dos. |
| ABSTRACT The hatchery is one of the most important segments of the poultry chain, and generates an abundance of data, which, when analyzed, allow for identifying critical points of the process . The aim of this study was to evaluate the applicability of the data mining technique to databases of egg incubation of broiler breeders and laying hen breeders. The study uses a database recording egg incubation from broiler breeders housed in pens with shavings used for litters in natural mating, as well as laying hen breeders housed in cages using an artificial insemination mating system. The data mining technique (DM) was applied to analyses in a classification task, using the type of breeder and house system for delineating classes. The database was analyzed in... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Attribute selection; Classification tree; Data management; Data mining and information technology. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000400501 |
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| Valls, Audrey; Coll, Marta; Christensen, Villy. |
| Various definitions and indices have been proposed in the literature to identify keystone species. In this study, we intended to make the concept of keystone species operational for marine biodiversity conservation. We used an exclusive definition of keystone species, based on the original concept of keystone predator, and derived a new functional index of keystoneness (KS) from an ecosystem-modeling approach. First, several KS indices were formulated, by combining measures of the mixed-trophic impact (MTI) and biomass of species. Then, a meta-analysis was performed, based on 101 published Ecopath food-web models, selected with a scoring method, and representative of the variety of marine ecosystems worldwide. The indices were applied to the models, and... |
| Tipo: Text |
Palavras-chave: Classification tree; Ecopath model; Food-web structure; Index of keystoneness; Keystone species; Marine ecosystems; Meta-analysis; Mixed-trophic impact; Rank correlation tests; Scoring method. |
| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00627/73869/73736.pdf |
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