Physiological and molecular genetic studies for cotton leaf worm (Spodoptera littoralis) tolerance on six Egyptian soybean cultivars | ||||
| Annals of Agricultural Science, Moshtohor | ||||
| Article 65, Volume 56, 4th ICBAA - Serial Number 1, 2018, Page 423-436 PDF (621.81 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/assjm.2018.214655 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Marwa M. Ghonaim 
| ||||
| Field Crops Research Inst., Agricultural Research Center, Giza, Egypt | ||||
| Abstract | ||||
| Cotton leaf worm (Spodoptera littoralis) is considered one of the most destructive agricultural pests. Six soybean cultivars (Giza-21, Giza-22, Giza-35, Giza-82, Giza-83 and Giza-111) were grown under natural infection with cotton leaf worm. The effect of two elicitors, methyl jasmonate and sodium nitroprusside on enhancing the ability of susceptible cultivars to tolerate (Spodoptera littoralis) was studied. Giza-35 and Giza-111 showed tolerance performance under natural infection compared to Giza 22 and Giza 82 as sensitive ones, while Giza 83 and 21 showed moderate tolerance. Both treatments positively affected seed yield and its components and fatty acid composition. Extracted fatty acids showed great changes in treated plants comparing with the untreated controls. Plants treated with the two elicitors showed an increase in Linoleic acid and Linolenic acid fatty acids and decrease in Palmitic acid and Palmitolic acid content. Treatment with methyl jasmonate was found to be more effective than sodium nitroprusside and enhanced resistance of the susceptible cultivars. Eight IRAP and iPBS retrotransposon-based markers were used to detect genetic differences among studied soybean cultivars and to develop molecular genetic markers for cotton leaf worm infestation. The technique successfully identified soybean genotypes in addition to nineteen molecular markers related to soybean tolerance. | ||||
| Keywords | ||||
| Soybean; Methyl jasmonate; Sodium nitroprusside; Fatty acids; IRAP-iPBS | ||||
|
Statistics Article View: 60 PDF Download: 100 |
||||
