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      MORPHOLOGICAL CHARACTERIZATION AND GENETIC DIVERSITY IN ORNAMENTAL SPECIMENS OF THE GENUS SANSEVIERIA Translated title: CARACTERIZAÇÃO MORFOLÓGICA E DIVERSIDADE GENÉTICA EM ESPÉCIMES ORNAMENTAIS DO GÊNERO SANSEVIERIA

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          Abstract

          ABSTRACT The aim of this study was to characterize and estimate genetic divergence among twelve specimens of the Sansevieria genus from the collection of the Universidade Federal do Piauí (UFPI). A completely randomized experimental design was used with three replicates, and the plot consisted of four plants. In morphological characterization, qualitative and quantitative descriptors of leaves were evaluated. Genetic divergence among the specimens was determined by the Tocher clustering method and the hierarchical UPGMA. There is genetic variation among specimens evaluated, which was also expressed by the variability of colors, shapes, and sizes of the leaves. The Tocher clustering method and the hierarchical UPGMA were effective in differentiation of the specimens from multi-categorical qualitative descriptors, as the Tocher method grouped the accessions in two groups and the UPGMA in seven different groups. We highlight the accessions SSV 09 and SSV 10 as exhibiting the highest mean values in weekly leaf growth and in leaf height, important characteristics for local sale and for export.

          Translated abstract

          RESUMO Este estudo teve como objetivo caracterizar e estimar a divergência genética entre doze espécimes do gênero Sansevieria da Coleção da Universidade Federal do Piauí (UFPI). Utilizou-se o delineamento experimental inteiramente ao acaso, com três repetições, sendo a parcela constituída por quatro plantas. Para caracterização morfológica foram avaliados descritores foliares de natureza qualitativa e quantitativa. A divergência genética entre os espécimes foi determinada pelos métodos de agrupamento de Tocher e o hierárquico UPGMA. Foi possível verificar que existe variação genética entre os indivíduos avaliados, em relação às cores, formatos e tamanhos das folhas. O método de agrupamento de Tocher e o método hierárquico UPGMA foram eficientes na diferenciação dos espécimes, a partir de descritores qualitativos multicategóricos, de modo que o método de Tocher reuniu os acessos em dois grupos e o UPGMA em sete grupos distintos. Destacamos os acessos SSV 09 e SSV 10 por apresentarem as maiores médias em crescimento foliar semanal e na altura da folha, características importantes para comercialização local e exportação.

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          Genes Software - extended and integrated with the R, Matlab and Selegen

          ABSTRACT. The Genes Software is useful for analyzing and processing phenotypic and molecular data using different biometric models. In the current version we dispose routines to integrate it with three other softwares: the R, Matlab and Selegen. This version allows in plant and animal breeding complementary analyzes in several breeding research fields as genomic selection, prediction of genetic values, use of neural networks and Fuzzy logic. The Genes is important to estimate parameters for understanding biological phenomena necessary to make decisions and predict the success and viability of strategic selection. The original programme can be downloaded in Portuguese, English or Spanish with the specific literature from (http://www.livraria.ufv.br/) and the user guide from (http://www.ufv.br/dbg/genes/genes.htm and http://www.ufv.br/dbg/biodata.htm). The user has also support in the address www.facebook.com/ GenesNews. The Genes is also integrated in the application softwares MS Word, MS Excel and Paint to efficiently import data and export results as numbers and figures.
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            Tests for Hierarchical Structure in Random Data Sets

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              O setor produtivo de flores e plantas ornamentais do Brasil, no período de 2008 a 2013: atualizações, balanços e perspectivas

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                Author and article information

                Journal
                rcaat
                Revista Caatinga
                Rev. Caatinga
                Universidade Federal Rural do Semi-Árido (Mossoró, RN, Brazil )
                0100-316X
                1983-2125
                October 2020
                : 33
                : 4
                : 985-992
                Affiliations
                [5] Floriano Piauí orgnameUniversidade Federal do Piauí Brazil marconescosta@ 123456ufpi.edu.br
                [3] Teresina Piauí orgnameUniversidade Federal do Piauí orgdiv1Department of Biology Brazil rbarros.ufpi@ 123456gmail.com
                [2] Teresina Piauí orgnameUniversidade Federal do Piauí orgdiv1Department of Plant Science Brazil merciarego@ 123456msn.com
                [4] Teresina PI orgnameMinistry of Agriculture, Cattle and Supplying Brazil alonso.lamas@ 123456gmail.com
                Article
                S1983-21252020000400985 S1983-2125(20)03300400985
                10.1590/1983-21252020v33n413rc
                af69bda4-5559-4bec-bb70-c778675941b1

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 26 March 2020
                : 03 September 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 24, Pages: 8
                Product

                SciELO Brazil

                Self URI: Full text available only in PDF format (EN)
                Categories
                Agronomy

                Horticulture
                Ornamental plants,Plantas ornamentais,Coleção de Germoplasma,Germplasm collection,Genetic diversity,Diversidade genética

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