Identification of Phenotypic Variation and Genetic Diversity in Rice ( Oryza sativa L.) Mutants

Truong Thi Tu Anh, Tran Dang Khanh, Tran Dang Dat and Tran Dang Xuan
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Truong Thi Tu Anh: Graduate School for International Development and Cooperation, Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima City, Hiroshima 739-8529, Japan
Tran Dang Khanh: Agricultural Genetics Institute, Pham Van Dong Street, Hanoi 122300, Vietnam
Tran Dang Dat: Khai Xuan International Co., Ltd., Cau Giay District, Hanoi 122000, Vietnam
Tran Dang Xuan: Graduate School for International Development and Cooperation, Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima City, Hiroshima 739-8529, Japan

Agriculture, 2018, vol. 8, issue 2, 1-15

Abstract: In this study, phenotypic variation and genetic diversity, important factors to decide germplasm for rice breeding, were evaluated among 15 rice mutants attained from the MNU ( N -Nitroso- N -methylurea) mutation. The correlation coefficient values among these phenotypic characteristics were calculated. The results showed that full grain number per plant was the most relevant factor contributing to grain yield per plant, and grain length to width ratio was the key parameter affected to amylose content. Furthermore, the genetic variation among mutants was estimated by Simple Sequence Repeat (SSR) markers related to amylose content trait. Fifty-six polymorphism markers covering across eleven rice chromosomes were recorded with an average of 3.02 alleles per locus. The average value of polymorphism information content was 0.47. By using the unweighted pair group method with arithmetic mean (UPGMA) clustering, four clusters were generated with the genetic similarities ranging from 0.52 to 0.91. The variation among groups was 34%, while the variation among individuals within groups was 66%. Findings of this study provided useful genetic background and phenotypic information of collected rice mutants to breed rice cultivars with improved quality.

Keywords: phenotypic variation; genetic diversity; polymorphism information content; mutants; SSR markers; MNU ( N -Nitroso- N -methylurea) mutation (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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