The growing interest in the use of soybean for the production of edible oil and biodiesel, the latter even encouraged by public policies government in Brazil is encouraging the planning of soybean breeding programs for the development of targeted specialized cultivars. The expansion in planted area with soybean tolerant to glyphosate herbicide, called Roundup Ready® and the advent of rust as one of the most important diseases that devastate soybean cultivation in Brazil has increased the importance for genotypes with high oil yield and rust resistance / tolerance in cultivars with transgenic technology of Roundup Ready®. The objective of this study is to assess the reaction to rust of transgenic and conventional pre-selected soybean progenies with high oil yielding. Genetic materials include F2:5 and F2:6 progenies derived from four crosses between parents among high oil yielding USP 70.010 and USP 70.113 with BRS 133 (conventional soybean) and BRS 245 RR (essentially derived from transgenic soybean BRS 133). The experiments involve two types of herbicide management: conventional (for conventional soybean) and Roundup Ready® (for RR soybean). There will be evaluated the following characters: seed yield (PG), weight of one hundred seed (PCS, as an estimator of seed size), number of days to maturity, plant height in maturity and agronomic value; besides, it will be also estimated the rust effect for each genotype, using the differences between two fungicide experiments, in terms of PG and PCS: the first experiment will receive an application of Opera and Native (fungicides controlling rust and late season diseases, DFC), while in the second experiment will be applied Derosal (fungicide that controls only the DFC). In two generations, for each character, will be held Individual analysis of variance, according to the randomized complete block design, test of Tukey for mean comparisons and simple phenotypic correlations between characters. For the statistical-genetic analyses will be used the SAS and R computer programs.
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