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Identification and DUS Testing of Rice Varieties through Microsatellite Markers


Affiliations
1 Department of Agronomy and Plant Breeding, College of Agriculture, Miyaneh Branch, Islamic Azad University, Miyaneh 53158-36511, Iran, Islamic Republic of
2 Seed & Plant Certification and Registration Institute (SPCRI), Collection Avenue, Nabovvat Boulevard, Karaj 31535-1516, Iran, Islamic Republic of
 

Identification and registration of new rice varieties are very important to be free from environmental effects and using molecular markers that are more reliable. The objectives of this study were, first, the identification and distinction of 40 rice varieties consisting of local varieties of Iran, improved varieties, and IRRI varieties using PIC, and discriminating power, second, cluster analysis based on Dice similarity coefficient and UPGMA algorithm, and, third, determining the ability of microsatellite markers to separate varieties utilizing the best combination of markers. For this research, 12 microsatellite markers were used. In total, 83 polymorphic alleles (6.91 alleles per locus) were found. In addition, the variation of PIC was calculated from 0.52 to 0.9. The results of cluster analysis showed the complete discrimination of varieties from each other except for IR58025A and IR58025B. Moreover, cluster analysis could detect the most of the improved varieties from local varieties. Based on the best combination of markers analysis, five pair primers together have shown the same results of all markers for detection among all varieties. Considering the results of this research, we can propose that microsatellite markers can be used as a complementary tool for morphological characteristics in DUS tests.
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  • Identification and DUS Testing of Rice Varieties through Microsatellite Markers

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Authors

Ehsan Pourabed
Department of Agronomy and Plant Breeding, College of Agriculture, Miyaneh Branch, Islamic Azad University, Miyaneh 53158-36511, Iran, Islamic Republic of
Mohammad Reza Jazayeri Noushabadi
Seed & Plant Certification and Registration Institute (SPCRI), Collection Avenue, Nabovvat Boulevard, Karaj 31535-1516, Iran, Islamic Republic of
Seyed Hossein Jamali
Seed & Plant Certification and Registration Institute (SPCRI), Collection Avenue, Nabovvat Boulevard, Karaj 31535-1516, Iran, Islamic Republic of
Naser Moheb Alipour
Department of Agronomy and Plant Breeding, College of Agriculture, Miyaneh Branch, Islamic Azad University, Miyaneh 53158-36511, Iran, Islamic Republic of
Abbas Zareyan
Seed & Plant Certification and Registration Institute (SPCRI), Collection Avenue, Nabovvat Boulevard, Karaj 31535-1516, Iran, Islamic Republic of
Leila Sadeghi
Seed & Plant Certification and Registration Institute (SPCRI), Collection Avenue, Nabovvat Boulevard, Karaj 31535-1516, Iran, Islamic Republic of

Abstract


Identification and registration of new rice varieties are very important to be free from environmental effects and using molecular markers that are more reliable. The objectives of this study were, first, the identification and distinction of 40 rice varieties consisting of local varieties of Iran, improved varieties, and IRRI varieties using PIC, and discriminating power, second, cluster analysis based on Dice similarity coefficient and UPGMA algorithm, and, third, determining the ability of microsatellite markers to separate varieties utilizing the best combination of markers. For this research, 12 microsatellite markers were used. In total, 83 polymorphic alleles (6.91 alleles per locus) were found. In addition, the variation of PIC was calculated from 0.52 to 0.9. The results of cluster analysis showed the complete discrimination of varieties from each other except for IR58025A and IR58025B. Moreover, cluster analysis could detect the most of the improved varieties from local varieties. Based on the best combination of markers analysis, five pair primers together have shown the same results of all markers for detection among all varieties. Considering the results of this research, we can propose that microsatellite markers can be used as a complementary tool for morphological characteristics in DUS tests.