Computing simulation in plant breeding. / SimulaÃÃo computacional no melhoramento genÃtico de plantas

AUTOR(ES)

FÃbio de Lima Gurgel

DATA DE PUBLICAÇÃO

2004

RESUMO

The objective of this study was to analyse three situations where the computing simulation could be useful in a plant breeding program: to get information about the number of families that must be handled to have more success in breeding. To verify if only the coefficient of variation is enough to discard experiments of Cultivation and Use Value, and to determine if the intercrossing of F2 plants must be done or not. To determine the ideal number of families to be appraised in the selective process, the heritability of the character must be consider. To obtain a genetic profit around 1.10 phenotypic standard deviation above the mean in the selected population, 5000 lines are necessary considering h2= 0.30 and 10 lines for a h2= 0.70; if the character shows h2 below 0.30, it will be necessary a greater number of lines to have a high probability to obtain an line with an average genotypic value superior to the population average. The coefficient of variation is not a likely value to evaluate the efficiency of a cultivar in a study; it must be associated to other parameters to make the recommendation of a cultivar more reliable. The repeatability is the parameter, which having its values defined to each variable â response it will give the possibility to determine elimination criteria in evaluation experiments for cultivars recommendation. Intercrossing of plants in the F2 and F∞ generations is not able to predict if the frequency of individual with favorables alleles in homozygous will increase, in case of having epistasis. Population mean and variance, considering linked genes with different recombination frequencies and some kinds of non-allelic interaction presented quite distinct values for each case, raising more difficulties to any kind of prediction, considering only two genes.

ASSUNTO(S)

coeficiente de variaÃÃo plant breeding intercrossing simulaÃÃo number of families intercruzamento variation coeficient nÃmero de famÃlias melhoramento vegetal melhoramento genÃtico vegetal simulation

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