Principal Component and Biplot Analysis in the Agro-industrial Characteristics of Anacardium spp.

Maria Clideana Cabral Maia, Adriano da Silva Almeida, Lucio Borges de Araujo, Carlos Tadeu dos Santos Dias, Luís Cláudio de Oliveira, Gilberto Ken Iti Yokomizo, Renato Domiciano Silva Rosado, Cosme Damião Cruz, Lúcio Flavo Lopes Vasconcelos, Paulo Sarmanho da Costa Lima, Luciano Medina Macedo

Abstract


The cajuí Anacardium spp., which is similar to the caju Anacardium Ocidentale L., is a species adapted to edaphic-climatic conditions of the biome Cerratinga (Cerrado e Caatinga). Its fruit is composed of one swollen stalk (pedicel) which is formed by nutritional reserves rich in vitamin C and drupe (cashew nut). It is also rich in protein and lipids, but with smaller size. This paper focuses on investigating the applicability of the biplot graphical analysis in the process of selective breeding of cajuí population. The cajuí working population in Embrapa Meio Norte comprises of 11 genotypes collected in areas of natural habitat in the state of Piaui. The experiment was designed in randomized complete blocks with two plants per plot and four replications. A graphical analysis (biplot) was used to study the relationships between variables and behavior of the experimental genotypes. This was implemented to principal component analysis based on singular value decomposition biplot. The total variable weight can be predicted from length of peduncle, basal and apical diameter of peduncle, and variables of easy mensuration. Genotypes M40A, M23, M14, and M17 are similar to each other and they have high amounts of brown, apical and basal diameter of the peduncle, total weight, and peduncle length. They are considered as candidates selected for consumption in natura and industrial processing. The graphical analysis (biplot) showed robustness in the presentation of relationships between variables considered and the indication of the selection candidate genotypes in the population studied.

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European Scientific Journal (ESJ)

 

ISSN: 1857 - 7881 (Print)
ISSN: 1857 - 7431 (Online)

 

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