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| Rakocevic, Miroslava; Sturion, José Alfredo; Medrado, Moacir José Sales; Lavoranti, Osmir José; Mosele, Sérgio Henrique; Valduga, Alice Tereza. |
| The aims of this study were to estimate the genetic parameters for 59 half-sib progenies of maté under runing for formation, and to evaluate the ecophysiological properties for four progenies (P15, P18, P41 e 47) and two controls (P61 and P62), components of one maté breeding experiment combining rovenances and progenies, established in Erechim, RS. The ecophysiological properties (stomatal onductance (gs) - mol m-2s-1, net photosynthesis (A) - μmol CO2 m-2s-1, and transpiration (E) -mmol H2O - s-1) were measured during one year in five epochs (from September 2002 to August 2003). The variance omponents, genetic and phenotypic parameters and genetic values (for data of foliar mass collected in runing of formation) were obtained using a... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Genetic value; Heritability; Photosynthesis; Stomatal conductance; Transpiration. Condutância estomática; Fotossíntese; Herdabilidade; Transpiração; Valor genético.. |
| Ano: 2011 |
URL: http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/229 |
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| Silva,Gabi Nunes; Tomaz,Rafael Simões; Sant'Anna,Isabela de Castro; Nascimento,Moysés; Bhering,Leonardo Lopes; Cruz,Cosme Damião. |
| Analysis using Artificial Neural Networks has been described as an approach in the decision-making process that, although incipient, has been reported as presenting high potential for use in animal and plant breeding. In this study, we introduce the procedure of using the expanded data set for training the network. Wealso proposed using statistical parameters to estimate the breeding value of genotypes in simulated scenarios, in addition to the mean phenotypic value in a feed-forward back propagation multilayer perceptron network. After evaluating artificial neural network configurations, our results showed its superiority to estimates based on linear models, as well as its applicability in the genetic value prediction process. The results further... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Genetic value; Statistics; Simulation; Artificial intelligence; Training strategy. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000600008 |
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