Open AccessMultidimensional scaling for divergence analysis in pepper
Author(s) -
Júlio Carlos Polimeni de Mesquita,
Elizanilda Ramalho do Rêgo,
Ângela Maria dos Santos Pessoa,
Anderson Rodrigo da Silva,
João José da Silva Neto,
Maílson Monteiro do Rêgo
Publication year - 2021
Publication title -
australian journal of crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 44
eISSN - 1835-2693
pISSN - 1835-2707
DOI - 10.21475/ajcs.21.15.05.p2693
Subject(s) - multidimensional scaling , capsicum annuum , genetic divergence , divergence (linguistics) , pepper , selection (genetic algorithm) , biology , mathematics , statistics , population , horticulture , genetic diversity , computer science , demography , artificial intelligence , linguistics , philosophy , sociology
Pepper plants of the genus Capsicum present wide genetic variability for phenotypical characters. The joint analysis of quantitative and qualitative characters is a more complete indicator to identify the existing variability in populations of plants. This work aimed to evaluate the genetic divergence within F3 populations of Capsicum annuum L. through the multidimensional scaling based on the joint analysis of quantitative and qualitative data. The work was developed in at the Center of Agrarian Sciences of the Federal University of Paraíba, state of Paraíba, Brazil. Eight populations of an F3 generation were employed, performing the characterization of 36 qualitative and quantitative characteristics. The experimental design was in randomized blocks, with eight treatments and 50 replications. The non-metric multidimensional scaling (nMDS) was performed based on Gower’s dissimilarity matrixes. Dispersion diagrams were built to present the nMDS solutions in the bidimensional space. The nMDS mapping was efficient on estimating divergence within populations with Kruskal’s Stress below 20%. The internal uniformity presented by populations P-4, P-5, P-6, P-7, and P-8 is an indicator that the genotypes of these populations are suitable to be used in future genetic breeding programs of ornamental peppers. Conversely, populations P-1, P-2, and P-3 presented the greatest dispersion, characterizing phenotypical variability. The multidimensional scaling was efficient to estimate the genetic divergence among and within F3 populations of ornamental pepper