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علوم زراعی 2017, 18(4): 347-363 Back to browse issues page
Screening of rice (Oryza sativa L.) genotypes for drought tolerance using tolerance indices and multivariate analysis
Abstract:   (1000 Views)
This experiment was carried out to identify drought tolerant genotypes in a set of 40 rice genotypes. Experimental materials were tested in two experiments including; a; pot experiment carried out on 40 local and improved rice genotypes under two conditions of non-stressed and water stressed (water withholding at booting stage), and b; field experiment with 17 selected rice genotypes from pot experiment using tolerance indices, at Rice Research Institute of Iran in 2014-15 rice growing season. These genotypes were tested under field conditions under normal (fully irrigated till the end of crop life cycle) and stress condition (water withholding at panicle initiation stage, till the end of crop life cycle). Results of the field experiment showed that two rice genotypes; Nemat and Pardis with 4831 and 2076 kg.ha-1 had highest and lowest paddy yield in the non-stressed condition, respectively. In watered stress condition, the highest paddy yield obtained from Sahel (3605 kg.ha-1) and the lowest yield recorded from Ali Kazemi (1179 kg.ha-1). In drought stress conditions in the second year, paddy yield was reduced by 11.5% in Sahel to 64% in Ali Kazemi cultivars. Cluster analysis could classify 17 rice genotypes iin two groups and among them13 genotypes had higher stress tolerance indices. Using ranking method and biplot based on principle components analyisi, 9 and 7 genotypes were identified as tolerant, respectively. Dorfak, Ghaem, Line 831, Ahlami Tarom and Jelodar genotypes were identified as drought stress tolerant genotypes.
Keywords: Biplot, Cluster analysis, Drought stress, Rice and Tolerance indices.
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Type of Study: Scientific & Research | Subject: Special
Received: 2017/08/15 | Accepted: 2017/08/15 | Published: 2017/08/15
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Screening of rice (Oryza sativa L.) genotypes for drought tolerance using tolerance indices and multivariate analysis. علوم زراعی. 2017; 18 (4) :347-363
URL: http://agrobreedjournal.ir/article-1-743-en.html

Volume 18, Issue 4 (winter2017 2017) Back to browse issues page
مجله علوم زراعی ایران Iranian Journal of Crop Sciences
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