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Andrade, Elisângela Knoblauch Viega de; Andrade júnior, Valter Carvalho de; Laia, Marcelo Luiz de; Fernandes, José Sebastião Cunha; Oliveira, Altino Junior Mendes; Azevedo, Alcinei Mistico. |
This study aimed to evaluate the genetic dissimilarity among sweet potato genotypes using morphological and molecular descriptors. The experiment was conducted in the Olericulture Sector at Federal University of Jequitinhonha and Mucuri Valleys (UFVJM) and evaluated 60 sweet potato genotypes. For morphological characterization, 24 descriptors were used. For molecular characterization, 11 microsatellite primers specific for sweet potatoes were used, obtaining 210 polymorphic bands. Morphological and molecular diversity was obtained by dissimilarity matrices based on the coefficient of simple matching and the Jaccard index for morphological and molecular data, respectively. From these matrices, dendrograms were built. There is a large amount of genetic... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Fitotecnia Ipomoea batatas (L.) Lam.; Morphological markers; Microsatellites; Genetic diversity; Germplasm bank. Melhoramento genético de plantas. |
Ano: 2017 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32847 |
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Azevedo, Alcinei Mistico; Andrade júnior, Valter Carvalho de; Santos, Albertir Aparecido dos; Sousa Júnior, Aderbal Soares de; Oliveira, Altino Júnior Mendes; Ferreira, Marcos Aurélio Miranda. |
Variance components must be obtained to estimate genetic parameters and predict breeding values. This information can be obtained through Bayesian inference. When multiple traits are evaluated, Bayesian inference can be used in multi-trait models. The objective of this study was to obtain estimates of genetic parameters, gains with selection, and genetic correlations among traits. Likewise, we aim to predict the genetic values and select the best kale genotypes using the Bayesian approach in a multi-trait linear model. The following traits were evaluated: stem diameter, plant height, number of shoots, number of marketable leaves and fresh weight of leaves using Bayesian inference in 22 kale genotypes. The experiment consisted of a randomized block design... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Fitotecnia Brassica oleracea L. var. acephala DC.; Genetic parameters; Crop breeding; Statistical modeling; Correlations Melhoramento genético de plantas. |
Ano: 2017 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/30856 |
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