Early selection in a population of the mangaba (Hancornia speciosa Gomes)

Authors

  • Maria Clideana Cabral Maia Embrapa Agroindústria Tropical
  • Lúcio Borges de Araújo Professor Associado na Universidade Federal de Uberlândia
  • Carlos Tadeu dos Santos Dias Professor na Universidade Federal do Ceará
  • Luís Cláudio de Oliveira Embrapa Acre
  • Lucio Flavo Lopes Vasconcelos Embrapa Meio Norte
  • Paulo Sarmanho da Costa Lima Embrapa Meio Norte

DOI:

https://doi.org/10.18227/1982-8470ragro.v14i0.6022

Keywords:

Principal Components. Phenotypic Correlations. Genetic Improvement.

Abstract

The mangaba is a fruit tree with great potential for the northeast of Brazil. Due to the scarcity of improved cultivars, and as it is a species that is still in the process of domestication, exploitation has been based on rational and sustainable extractivism by farmer-gatherers. The aim of this study was to analyse the correlations between technological variables of the mangaba, and to carry out an early selection of the genotypes that make up the base population of the mangaba improvement program of Embrapa Meio-Norte. The variables fruit weight, pulp weight and percentage pulp show significant correlation with fruit length and fruit diameter, allowing indirect selection for the first set of variables by means of the latter, which are easily measured. Genotypes 4, 13, 16, 21, 25, 32, 35 and 49 show a positive association with fruit weight, fruit length, fruit diameter, pulp weight and percentage weight, and are therefore candidates for selection. Principal component 1 is associated with fruit weight, fruit length, fruit diameter, skin weight, number of seeds per fruit, seed weight, TTA and pulp weight. These variables can be selected with greater mathematical certainty, since this component concentrates more information regarding variability and is therefore more important.

Author Biographies

Maria Clideana Cabral Maia, Embrapa Agroindústria Tropical

Doutorado em Genética e Melhoramento de Plantas, Escola Superior de Agricultura Luiz de Queiroz, ESALQ, Brasil. Mestrado em Fitotecnia, Universidade Federal Rural do Semi-Árido, UFERSA, Brasil.

Lúcio Borges de Araújo, Professor Associado na Universidade Federal de Uberlândia

Pós-Doutorado, Escola Superior de Agricultura "Luiz de Queiroz" - USP (SP), ESALQ/USP, Brasil. Doutorado em Estatística e Experimentação Agronômica, Escola Superior de Agricultura Luiz de Queiroz, ESALQ/USP, Brasil. Mestrado em Estatística e Experimentação Agronômica, Escola Superior de Agricultura Luiz de Queiroz, ESALQ/USP, Brasil.

Carlos Tadeu dos Santos Dias, Professor na Universidade Federal do Ceará

Pós-Doutorado, School of Mathematical Sciences da University of Exeter-Devon, UK, SMSUE, Inglaterra. Doutorado em Agronomia (Estatística e Experimentação Agronômica) , Universidade de São Paulo, USP, Brasil.

Luís Cláudio de Oliveira, Embrapa Acre

Agro-silvicultura

Lucio Flavo Lopes Vasconcelos, Embrapa Meio Norte

Doutorado em Ciências, Escola Superior de Agricultura Luiz de Queiroz, ESALQ/USP, Brasil.

Paulo Sarmanho da Costa Lima, Embrapa Meio Norte

Doutorado em Agronomia (Genética e Melhoramento de Plantas), Universidade Estadual Paulista Júlio de Mesquita Filho, UNESP, Brasil.

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Published

14/04/2020

Issue

Vol. 14 (2020)

Section

Original Scientific Article

License

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