SciELO - Scientific Electronic Library Online

 
vol.42 issue1Micropropagation, acclimatization, essential oil content and chemical composition of japanese mint genotypesTolerance of pearl millet cultivar ADR-300 to atrazine herbicide author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

Share


Revista Ciência Agronômica

On-line version ISSN 1806-6690

Abstract

DUTRA FILHO, João de Andrade et al. Application of multivariate techniques in the study of genetic diversity in sugarcane. Rev. Ciênc. Agron. [online]. 2011, vol.42, n.1, pp.185-192. ISSN 1806-6690.  https://doi.org/10.1590/S1806-66902011000100023.

This study aimed to evaluate the genetic diversity in progenies of sugar cane by means of multivariate techniques based on eight agroindustrial traits. The work was carried out in the agricultural area of Usina Santa Teresa, Goiana (PE), during the agricultural year 2007/2008. A complete randomized block design with five replications was used. The variables analyzed were: pol tons per hectare (PTH), sugarcane tons per hectare (STH), fiber (FB), corrected pol % (CPP), purity (PTY), content of soluble solids (BX), reducing sugar (RS) and total retrievable sugar (TRS). After analysis of variance and estimation of genetic parameters, the Mahalanobis distance was calculated for quantifying dissimilarity. We used average-linkage method (UPGMA) and the optimization method of Tocher. The average coefficient of heritability was high for the variables PTH and STH indicating the possibility of success in selection for these characters. The methodology allowed identification of progenies with greater genetic divergence providing information for RIDESA sugarcane plant breeding on crosses to be made in the future.

Keywords : Saccharum spp; Hybridization; Genetic Improvement.

        · abstract in Portuguese     · text in Portuguese     · Portuguese ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License