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Análise multivariada dos componentes da resistência à ferrugem-asiática em genótipos de soja
| Content Provider | Semantic Scholar |
|---|---|
| Author | Koga, Lucimara Junko Canteri, Marcelo Giovanetti Calvo, Eberson Sanches Unfried, Jair Rogério Garcia, Alexandre Rossetto Harada, Arlindo Kiihl, Romeu A. S. |
| Copyright Year | 2008 |
| Abstract | The objective of this study was to detail the infection cycles of Phakopsora pachyrhizi Syd. & P. Syd. in soybean genotypes, in order to establish a group of the most promising genotypes for use as sources of resistance to Asian soybean rust. The infection cycle components were quantifi ed in 48 genotypes. The assessments consisted of: type of lesion, intensity of sporulation, severity, number of lesions and uredinias, and productivity of urediniospores. The cluster analysis formed four groups: A - developed the highest amount of disease; B - developed the lowest amount of disease; C - low initial resistance; and D - high initial resistance. All the genotypes of groups B, C and D had RB (redish-brown) lesions and varied for initial resistance, delayed resistance, intensity of sporulation, stability of the qualitative response, productivity of urediniospores, and number of days to reach 50% of the maximum severity. Qualitative responses and disease severity evaluations refl ect the combined effects of resistance on all the infection components and show practical importance in genotypes differentiation, regarding disease resistance. The genotypes of groups B, C and D presented qualitative and quantitative resistance, in different degrees, and they are promising genotypes as sources of resistance to Asian soybean rust. |
| Starting Page | 1277 |
| Ending Page | 1286 |
| Page Count | 10 |
| File Format | PDF HTM / HTML |
| DOI | 10.1590/S0100-204X2008001000004 |
| Volume Number | 43 |
| Alternate Webpage(s) | https://www.agrolink.com.br/downloads/84373.pdf |
| Alternate Webpage(s) | http://www.scielo.br/pdf/pab/v43n10/04.pdf |
| Alternate Webpage(s) | https://ainfo.cnptia.embrapa.br/digital/bitstream/item/106328/1/Analise-multivariada.pdf |
| Alternate Webpage(s) | https://doi.org/10.1590/S0100-204X2008001000004 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |