Elementos Da Paisagem Como Fonte De Heterogeneidade Florístico-Estrutural Do Componente Arbóreo Em Área De Floresta Ombrófila Mista

Higuchi, Pedro; Silva, Ana Carolina da; Spiazzi, Fábio Rodrigues; Negrini, Marcelo; Neto, Sílvio Luís Rafaeli; Bento, Marco Antonio; Morés, Diego Felipe; Aguiar, Manoela Drews de; Buzzi, Fernando; Silva, André Leonardo da

doi:10.5902/1980509832061

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…Studies of phenotypic diversity among accessions were only found for garlic (Silva et al, 2014) and cocoa (Leal et al, 2008), no records of the use of this technique in lima beans and other important crops were found. The use of bidimensional scaling has been more common in the study of natural populations (Telles et al, 2001;Souza et al, 2015;Higuchi et al, 2018;Silva et al, 2018), in the construction of genetic linkage maps (Preedy & Hackett, 2016) and not frequent in plant breeding when using molecular data, such as studies of genetic distances between cultivars and varieties of lima bean (P. lunatus) and common bean (P. vulgaris) (Beebe et al, 1995;Nienhuis et al, 1995, Fuente et al, 2012. However, the routine of conventional breeding programs, are mainly based on phenotypic data based on qualitative and quantitative characters, and scaling may be highly applicable for studies of dispersion between accessions.…”

Section: Introductionmentioning

confidence: 99%

Phenotypic Dispersion of Landrace Lima Bean Varieties Using Multidimensional Scaling

Barroso¹,

Medeiros²,

Santos³

et al. 2019

JAS

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Studies about phenotypic diversity are common in germplasm banks. The inference about this variability must be realized through several methods. The multidimensional scaling is a multivariate technique that has not yet been well explored in plant breeding programs. The objective of this study was to evaluate the phenotypic dispersion of landrace lima bean varieties using the non-metric multidimensional scaling technique (nMDS) based on seed morphology. Seeds of 25 lima bean accessions were characterized based on the morphological descriptors proposed by the International Plant Genetic Resources Institute. Distance matrices between the accessions were estimated based on the qualitative and quantitative variables, in addition to simultaneous analysis of the qualitative and quantitative data, using the Mahalanobis and Gower distances. The distances were represented by non-metric multidimensional scaling. The adjustment level of the nMDS mapping was calculated using Kruskal’s Stress. The scaling based on the quantitative and mixed data was efficient to represent the distances of the lima bean accessions in the bidimensional plane presenting Stress less than 20%. Divergent accessions, such as 11, 13, 17 and 25 were identified. The inclusion of qualitative characters provided the best discrimination of the accessions, confirming the importance of the simultaneous character analysis. The nMDS must be used as a complementary technique to those commonly employed in studies of phenotypic diversity in lima beans.

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Section: Introductionmentioning

confidence: 99%

Phenotypic Dispersion of Landrace Lima Bean Varieties Using Multidimensional Scaling

Barroso¹,

Medeiros²,

Santos³

et al. 2019

JAS

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Floristic patterns of alluvial forests in Atlantic Forest and Pampa: Climate and geographic insertion as determining factors

Silva

Galvão

Silva

et al. 2020

An. Acad. Bras. Ciênc.

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Demography and spatial distribution of a threatened species from the Atlantic Forest in southern Brazil: differences between urban and rural remnants

et al. 2023

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Logging and agricultural exploitation have led to the degradation of Araucaria Forest remnants and the alteration of its last preserved patches. This forest typology contains many endangered plant species, as is the case of the tree Oreopanax fulvus Marchal. To support conservation of this species and understand how different landscape matrices can influence its populations, we evaluated the demographic structure and spatial distribution of O. fulvus in two Araucaria Forest remnants in Paraná state. We delimited two plots (urban and rural population), each with 1 ha, subdivided them into 100 subplots (10 x 10 m), and recorded diameter at ground level (DGL), height, and coordinates of two post-germinative developmental stage of individuals. In each subplot, we measured slope, luminosity, and canopy height. We used Ripley’s K function analysis to describe distribution patterns of the species and the spatial relationship between mature and juvenile trees. We performed correlations between abundance and environmental and structural variables of the O. fulvus populations. Abundance varied between remnants, from 183 individuals/ha (12 mature and 171 juvenile) to 1306 individuals/ha (10 and 1296). The remnants varied in abundance and plant frequency. The species showed an investment in seedling banks. Most juvenile had DGL up to 3.0 cm and height up to 1.0 m and presented aggregated spatial distribution, while adults had random distribution. In the rural population juvenile abundance were correlated with canopy height (positively) and distance to mature trees (negatively). The slope was correlated for both sites, but oppositely, indicating that other factors might have interfered in the regeneration abundance. The urban remnant showed a high abundance of this endangered species, calling attention for potential studies in urban arborization, management and conservation of these remnants.

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Elementos Da Paisagem Como Fonte De Heterogeneidade Florístico-Estrutural Do Componente Arbóreo Em Área De Floresta Ombrófila Mista

Cited by 3 publications

References 14 publications

Phenotypic Dispersion of Landrace Lima Bean Varieties Using Multidimensional Scaling

Phenotypic Dispersion of Landrace Lima Bean Varieties Using Multidimensional Scaling

Floristic patterns of alluvial forests in Atlantic Forest and Pampa: Climate and geographic insertion as determining factors

Demography and spatial distribution of a threatened species from the Atlantic Forest in southern Brazil: differences between urban and rural remnants

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