Avaliação da capacidade de expansão de milho-pipoca pelas técnicas de espectrometria no infravermelho próximo, composição química e microscopia eletrônica

Detalhes bibliográficos
Ano de defesa: 2015
Autor(a) principal: Freire, Ana Izabella
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Lavras
Programa de Pós-Graduação em Genética e Melhoramento de Plantas
UFLA
brasil
Departamento de Biologia
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufla.br/jspui/handle/1/10520
Resumo: Brazilian consumption of popcorn has increased exponentially. The main feature is the one that makes your small grains when subjected to a heat source, have the ability to burst. The expansion capacity is the relation between the volume of burst popcorn and volume of grains used. From the above, in this work the objective was to identify progenies with different values of expansion capabilities by Spectrometry technique in near infrared (NIR) and associate the dispersion of the starch granules, percentage of amylose and pericarp thickness to progeny with different expansion capabilities values. It was used the randomized block design (DBC) for the amylose percentage and completely randomized design (CRD) for the pericarp thickness (µm). It was found that treatments 1 and 3 showed endosperm with starch granules individualized, and treatments 7 and 10 showed endosperm with aggregate granules. For the amylose percentage the treatments 10 and 8 showed the highest values and did not differ from each other, treatments 5, 6, 7 and 9 showed intermediate values and the treatments 1, 2, 3 and 4 had the lowest values. As for the pericarp thickness the treatments 10 and 7 showed the highest values and did not differ from each other. The treatments 1, 3 and 4 showed the lowest thicknesses. The model obtained by NIR was not efficient to separate the treatments according to the expansion capabilities. Treatments with higher expansion capabilities values showed the most compressed endosperm, the pericarp with higher thickness and higher amylose percentage.