SciELO - Scientific Electronic Library Online

 
vol.57 número2Establishment of a Cape gooseberry working collection collected in the colombian southwest zoneMolecular characterization of 43 accesions of Cape gooseberry from six departments of Colombia índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Acta Agronómica

versão impressa ISSN 0120-2812

Resumo

BONILLA BETANCOURT, Martha Liliana et al. Morphologic characterization of 24 accessions of Cape gooseberry from the National University at Palmira's  campus  germplasm bank. Acta Agron. [online]. 2008, vol.57, n.2, pp.101-108. ISSN 0120-2812.

24 accessions of Cape gooseberry Physalis peruviana L. from the National University of Colombia at Palmira's campus work collection were characterized using 27 morphologic descriptors (10 qualitative and 17 quantitative). Two different analyses were made, the multiple correspondence analyses (MCA) and the ascendant hierarchy classification for qualitative variables and the principal component analysis (PCA) for quantitative variables. The results showed that 65.64% of variability was explained with three axes in the MCA. The first axe with 38.53% contained the variables colour of petals, anthers, berry ripped and seeds. The hierarchy classification generated three groups. The two first axes in ACP analysis explained 32.04% and 17.02% of the variation. In addition , the highest variability was supported by different characteristics such as fruit weight, transversal and longitudinal size of fruit, dry and wet seed weight, seed number and soluble solids content. Also the hierarchy classification showed five groups. Furthermore, it was possible to establish five materials with potential to be processed, traded and improved because of the high weight fruit, low number of seeds and high Brix grades.

Palavras-chave : Qualitative and quantitative descriptors; Multiple Correspondence Analysis (ACM); Principal Components Analysis (ACP).

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons