Interação de genótipos de cana-de-açúcar com ambientes no estado de goiás

• Autor(a) principal: Rosa, Cláudia Oliveira
• Data de Publicação: 2008
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• dARK ID: ark:/38995/001300000ctxx
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/3456
• topic: Interação genótipo x ambiente; Análise AMMI; Cana-de-açúcar; Interaction genotype x environment; Analysis AMMI; Sugarcane; CIENCIAS AGRARIAS::AGRONOMIA

The sugarcane crop, due the constant increase of ethanol demand in the internal market, has been cultivated in Brazil in almost all its extension. With the expansion and creation of new areas as well there has been occupation of not suitable environments for its development. Today, there are twenty one sugar and ethanol producing units an implantation perspective of new units in medium and long run. The objective of the sugarcane improvement programs is to increase agricultural productivity and industrial characteristics of varieties, that should be better adapted to different locations, soil types, cultivation techniques, besides presenting higher resistance to insects and diseases. In plants improvement, considerations regarding genotypes interaction with environments are essential to the process efficiency. For the achievement of the present study, about interaction of different environments and genotypes, a set of final experimental evaluations of clones and varieties, wich were carried out in several locations in Goiás State, Brazil, were considered. The objective was evaluate the influence of genotypes by environments interaction (GxE) based on the stalk yield in tons per hectare, POL percentage and fiber. These are considered characters of agronomic, economic and industrial importance. Based on the results, it is not possible to recommend local key, for the planting of experimental area with sugarcane in the State of Goiás. In fact, it is recommended the increase of the number of experimental fields, to demonstrate with better precision about the genotypes in the State. As many about to the character productivity (TCH), recording about to POL % and fiber %, the outcomes of environment have been responsible for most variation expressed by mean squares, followed by the effects of genotypes and by the effects from the interaction GxE, which showed high significance. The analysis AMMI, by the models selected (AMMI 1 about fiber %, & AMMI 3 about TCH & POL%) has enabled to explain 58.31% from SQGxA for the variable productivity (TCH); 55.10% for the variable of pol (POL%) and 22.81% about the percentage of fiber. The genotypes RB965658 & RB965602 presented the highest productivity (TCH) and fiber and POL percentages as well.