Hammoud, S., El-Malky, M., Hassan, H., Sedeek, S. (2013). ASSESSMENT AND EVALUATION OF GENETIC DIVERSITY OF SOME LINES DEVELOPED FROM SAKHA101 CV. OF RICE BY USING SSR MARKERS. Journal of Agricultural Chemistry and Biotechnology, 4(12), 371-387. doi: 10.21608/jacb.2013.53302
S. A. A. Hammoud; M. M. El-Malky; H. M. Hassan; S. E. M. Sedeek. "ASSESSMENT AND EVALUATION OF GENETIC DIVERSITY OF SOME LINES DEVELOPED FROM SAKHA101 CV. OF RICE BY USING SSR MARKERS". Journal of Agricultural Chemistry and Biotechnology, 4, 12, 2013, 371-387. doi: 10.21608/jacb.2013.53302
Hammoud, S., El-Malky, M., Hassan, H., Sedeek, S. (2013). 'ASSESSMENT AND EVALUATION OF GENETIC DIVERSITY OF SOME LINES DEVELOPED FROM SAKHA101 CV. OF RICE BY USING SSR MARKERS', Journal of Agricultural Chemistry and Biotechnology, 4(12), pp. 371-387. doi: 10.21608/jacb.2013.53302
Hammoud, S., El-Malky, M., Hassan, H., Sedeek, S. ASSESSMENT AND EVALUATION OF GENETIC DIVERSITY OF SOME LINES DEVELOPED FROM SAKHA101 CV. OF RICE BY USING SSR MARKERS. Journal of Agricultural Chemistry and Biotechnology, 2013; 4(12): 371-387. doi: 10.21608/jacb.2013.53302
ASSESSMENT AND EVALUATION OF GENETIC DIVERSITY OF SOME LINES DEVELOPED FROM SAKHA101 CV. OF RICE BY USING SSR MARKERS
Rice Research Sections, Sakha, Kafr El-Sheikh, Field Crops Research Institute, Agricultural Research Center
Abstract
Two experiments were conducted in this study, the first one was conducted at the Institute of Genetic Engineering and Bio Technology, Menoufia University Sadat branch using SSR markers during 2013. The second one was carried out at Rice Research and Training Center Sakha, Kafr El-Sheikh, Egypt during 2005 to 2013 season. Seven genotypes comprise five derived lines from the cross of Sakha101 X HR4856// Sakha101 were used to study the genetic diversity by using six SSR markers (SSR206; SSR216; SSR302; SSR209; SSR262 and SSR244). SSR markers (SSR206; SSR209 and SSR216) gave two alleles, while the primers of SSR302, SSR244 and SSR262 gave three alleles two one and four alleles for last one, respectively. Cluster analysis divided into two main groups, the first one included only SP70-101-1 line. This line was produced from back cross (Sakha101 X HR4856 //Sakha101), while the second group was divided into two subgroups; the first one included SP70-101-3. While, the second subgroup included HR4856 variety in one branch alone. On the other hand, the second subgroup included Sakha101 alone. Similarity distance showed that the two lines; SP70-101-2 and SP70-101-4 were closely related and similarity distance percentage between these lines is about 91%, while the far distant one was SP70-101-1 line and the similarity distant percentage was 60%. Mean square analysis was found to be highly significant for all yield and its component traits under studied at the last two years 2012 and 2013 and their combined data. Also, the interaction of genotypes with years was highly significant for plant height, duration, flag leaf area, number of panicles/ plant, number of grains/panicle, grain yield/plant, hulling %, milling % and head rice %, revealing that these genotypes behaved differently from one year to another year or can be affected by environment. The phenotypic coefficient variability (PCV) showed higher than genotypic coefficient variability (GCV) under two years and their combined data, indicated that effects of environment condition on these traits. Heritability estimates in broad sense was high for all studied traits and ranged between 91.85% for 1000-grain weight to 98.99% for plant duration. Genetic advance percentage (∆g %) value varied for all traits. Grain yield t/ha showed highly significant positive correlation with number of panicles/plant, number of grains/ panicle, flag leaf area and total duration.
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