Valor genético para abelhas africanizadas selecionadas para produção de geleia real com marcadores moleculares

• Ano de defesa: 2012
• Autor(a) principal: Ostrovski, Kátia Regina
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Estadual de Maringá; Brasil; Departamento de Zootecnia; Programa de Pós-Graduação em Zootecnia; UEM; Maringá, PR; Centro de Ciências Agrárias
• Palavras-chave em Português: Abelha africanizada; Inferência Bayesiana; Avaliação genética; Produção; Geléia real; MRJP3; Brasil.; Africanized bee; Bayesian inference; Genetic evaluation; Production; Royal jelly; MP3; Brazil.; Ciências Agrárias; Zootecnia
• Link de acesso: http://repositorio.uem.br:8080/jspui/handle/1/1854

The aim of this research was to evaluate the genetic value for royal jelly production in Apis mellifera L. Africanized with the compilation of data collected since 2006. The genetic informations of selected and evaluated colonies were obtained using techniques of full DNA extraction from nursing worker bee's thorax, with molecular markers for MRJP3 protein, which is well characterized in Apis mellifera L. For larvae transfer to produce queens and royal jelly a heated room was used, with temperature between 30ºC and 35ºC and air humidity above 60%. The larvae aged between 12 and 36h were transferred from its original cell to acrylic cups. The royal jelly collection was done after 66 to 72h with suction apparatus. From colonies information and genealogical structure, genetic values were predicted for colonies and queens considering the parameters: acceptance (%), total royal jelly (mg) and royal jelly per cup (mg). The Bayesian inference was used with the software Multiple Trait Gibbs Sampling in Animal Models, Gibbs chains with 58500 cycles, resulting in 650.000 cycles with disposal and removal intervals of 65000 and 10, respectively. The predicted genetic values from colonies were classified into superior and inferior. Comparing the genetic values averages as a function of genotypes, the test of multiple average comparisons were realized, implemented in routine PROC GENMOD of the Statistical Analysis System. Using the same routine the classification probability was estimated in superior and inferior categories of these genotypes, considering binomial distribution of data with log-link function. The classification probabilities for each genotype were tested by the T test at 5% significance. The environmental effects of year, time and type of colony were considered as having flat distribution and collection as qui-squared distribution. The results shown an increase of alleles C, D and E in matrices honeybee colonies in which, the alleles D and E (relating to MRJPs) had the most valuable genes for royal jelly production. The alleles D, E and C are the most important when evaluating the parameters of production, acceptance, total royal jelly and royal jelly per cup, and promptly, the genotype DE had emphasis on royal jelly production. The genotypes DE, DC and CE should be maintained for royal jelly production, and other genotypes should be discarded because they had the worst performances.