Genotype selection of Pouteria sapota (Jacq.) H.E. Moore & Stearn, under a multivariate framework

Acta Agronómica

Ramires, Thiago Gentil¹  dos Santos Dias, Carlos Tadeu¹  Nakamura, Luiz Ricardo¹  Mercuri Pinto, Renan¹  López Bautista, Ezequiel Abraham² 

[1] Universidade de São Paulo - USP, Piracicaba, Brazil;Universidad de San Carlos de Guatemala - USAC, Guatemala

关键词: Plant genetic resources;    cluster analysis;    factor analysis;    multivariate analysisResumen La especie Pouteria sapota;    también conocida como zapote o zapote mamey es un árbol frutal que pertenece a la familia sapotaceae;    originaria de la región tropical de América Central;    de gran importancia debido al amplio uso del árbol (fruta;    semilla y madera) para la industria;   

DOI  :  10.15446/acag.v65n3.49877

学科分类：农业科学（综合）

来源: Universidad Nacional de Colombia * Facultad de Ciencias Agropecuarias Palmira

【 摘 要 】

The Pouteria sapota, also popularly known as sapote or mamey sapote, is a fruit tree of sapotaceae family originally from the tropical region of Central America with a great importance due to the almost complete utilization of the tree (fruit, seeds and wood) by industries. Thus, the study of its features becomes indispensable for selecting the most promising genotypes to increase the profitability of its production. In this study, it was used a dataset of 63 sapote trees placed in the botanical garden of Centro Agronómico Tropical de Investigación y Enseñanza (CATIE), located in Turrialba, Costa Rica. 17 quantitative characteristics were measured from trees, in order to evaluate the yield potential through the application of two multivariate statistical techniques: factor analysis (FA) and cluster analysis (CA). Firstly, the FA was performed and the 17 initial characteristics were reduced to four common factors that might describe particular characteristics like "fruit", "seed", "wood" and "leaf". Thereafter, a CA was performed, with scores of FA, which allows the formation of five groups of trees with different traits. This methodology revealed the most promising trees in the economic point of view for every industry that uses the tree as raw material.

【 授权许可】

CC BY-NC-SA