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| Silva,Fabiana Mota da; Unêda-Trevisoli,Sandra Helena; Villela,Otávia Tiago; Perecin,Dilermando; Mauro,Antonio Orlando Di. |
| Due to the large increase in the area cultivated with genetically modified soybean in Brazil, it has become necessary to determine methods that are fast and efficient for detecting these cultivars. The aim of this work was to test the efficiency of the toothpick method in the detection of RR soybean plants, as well as to distinguish between cultivars, for sensitivity caused by herbicide. Ten transgenic soybean cultivars, resistant to the active ingredient glyphosate, and ten conventional soybean cultivars were used. Toothpicks soaked in glyphosate were applied to all the plants at stage V6 and evaluations were made at 2, 4, 6, 8 and 10 days after application (DAA). The effects of the glyphosate on the cultivars, and the symptoms of phytotoxicity caused in... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Phytotoxicity; Glyphosate; Toothpick method; Herbicide. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000200436 |
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| Leite,Wallace de Sousa; Unêda-Trevisoli,Sandra Helena; Silva,Fabiana Mota da; Silva,Alysson Jalles da; Mauro,Antonio Orlando Di. |
| ABSTRACT The selection of superior genotypes of soybean is a complex process, thus exploratory multivariate techniques can be applied to select genotypes analyzing the agronomic traits altogether, increasing the chance of success of a breeding program. Thus, the objective of this study was to select soybean genotypes carrying the RR gene with good agronomical performance through of multivariate analysis and selection index and identify those traits that influence, also verifying the agreement of multivariate techniques and selection index in the selection process. The experiment was conducted in an increased block experimental being evaluated 227 genotypes of F5 generation, which 85 of those were detected to be glyphosate-resistant by PCR. The following... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Clustering analysis; Principal components; Selection gain; Grain Yield. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000300491 |
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