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Illustrated guide to the classification of banana seeds and embryos Rev. Bras. Frutic.
Silva,Manassés dos Santos; Rodrigues,Taise Conceição; Aud,Fabiana Ferraz; Santos-Serejo,Janay Almeida dos; Amorim,Edson Perito.
Abstract Considering there is no illustrated scale of the principle anomalies observed for banana seeds, the objective of this guide is to cover in detail, for the first time, the categories to classify the most common types of anomalies observed in banana embryos and seeds, as well as in vitro embryo rescue and culture, taking into account the experience acquired by the banana breeding program at Embrapa in Brazil. Four classes to classify the seeds were proposed and with regards to classifying the embryos, eight classes were established.
Tipo: Info:eu-repo/semantics/article Palavras-chave: In vitro culture; Germination; Genetic improvement; Musa spp; Embryo rescue.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452019000210001
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Non-hierarchical clustering of Manihot esculenta Crantz germplasm based on quantitative traits Rev. Ciênc. Agron.
Oliveira,Eder Jorge de; Aud,Fabiana Ferraz; Morales,Cinara Fernanda Garcia; Oliveira,Saulo Alves Santos de; Santos,Vanderlei da Silva.
ABSTRACT The knowledge of the phenotypic variation of cassava (Manihot esculenta Crantz) germplasm allows the estimative of the genetic variability to support the selection of contrasting genitors. Therefore, the aim of this work was to define homogeneous groups of cassava germplasm based on yield traits, disease resistance and root quality using K-means as a non-hierarchical method. Breeding values estimated by Best Linear Unbiased Predictor (BLUP) were used for the cluster analysis. The number of groups was defined according to the stabilization of the smallest within-group sum of squares. Seventeen clusters were defined to represent the diversity of the germplasm, whose number of accessions ranged from 7 (Group 15) to 69 (Group 9). In general,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Cassava; Genetic resources; Diseases; Breeding; Genotypic data.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902016000300548
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