Research Article
none
Nay Aung
Nay Aung
Department of Plant Breeding, Physiology and Ecology, Yezin
Agricultural University, Myanmar
Myint Aye
Myint Aye
Advanced Centre for Agricultural Research and Education, Yezin
Agricultural University, Myanmar
Kyi Moe
Kyi Moe
Department of Agronomy, Yezin Agricultural University, Myanmar
Thida
Thida
Biotechnology Research Section, Department of Agricultural
Research, Myanmar
Soe Win
Soe Win
Department of Plant Breeding, Physiology and Ecology, Yezin
Agricultural University, Myanmar
Nyo Mar Htwe
Nyo Mar Htwe
Corresponding
Author
Advanced Centre
for Agricultural Research and Education, Yezin Agricultural University, Myanmar
E-mail: dr.nyomarhtwe@yau.edu.mm, Tel:
+95 9420700364
Received: 2023-02-15 | Revised:2023-04-16 | Accepted: 2023-04-16 | Published: 2023-04-03
Pages: 54-61
DOI: https://doi.org/10.58985/jafsb.2023.v01i02.06
Abstract
A total of 120 maize inbred lines were subjected to genetic diversity
analysis by 40 SSR markers. The study revealed total alleles of 146 across 40 simple sequence repeat (SSR) markers, ranged from 2 to 8 with the average of 4 per locus. Gene diversity
was observed with the mean value of 0.55, range from 0.11 to 0.71 among maize
genotypes. Polymorphism
Information Content (PIC) value ranged from 0.10 to 0.76 with the mean value of
0.48. Umc1525 was the best marker in this study for
identification of genotypes as revealed by its PIC values of 0.76. A wide range
of genetic variability and PIC value were observed among maize genotypes
designating that tested genotypes are invaluable genetic materials for the breeding
program. In UPGMA classification by molecular markers, the genotypes were
identified three distinct clusters. The log-likelihood exposed by the
population structure with the optimum K value of 4, pointed out that genotypes
could be divided into four sub-populations. Genotypes involved in
sub-population IV analyzed by population structure, which was one group in
cluster IIIB constructed by UPGMA, indicating that genotypes in sub-population
IV were unique and diverse from other maize genotypes. Principal coordinate
analysis (PCoA) was performed to identify maize inbred lines into genetically
diverged and similar genotypes. Based on this finding, genotypes viz. TK.19.17, TK.19.20, TK.19.21, TK.19.27,
TK.19.28, TK19.31, TK.19.33, YZSI.20.006, YZSI.20.15, YZSI.20.16, YZSI.20.17,
YZSI.20.26, YZSI.20.054, YZSI.20.036 and YZSI.20.027 were genetically diverged
and useful in maize breeding program for the exploitation of heterosis.
Keywords
Genetic
diversity; maize inbred lines; SSR markers; PIC; clusters, population structure
Abstract
A total of 120 maize inbred lines were subjected to genetic diversity
analysis by 40 SSR markers. The study revealed total alleles of 146 across 40 simple sequence repeat (SSR) markers, ranged from 2 to 8 with the average of 4 per locus. Gene diversity
was observed with the mean value of 0.55, range from 0.11 to 0.71 among maize
genotypes. Polymorphism
Information Content (PIC) value ranged from 0.10 to 0.76 with the mean value of
0.48. Umc1525 was the best marker in this study for
identification of genotypes as revealed by its PIC values of 0.76. A wide range
of genetic variability and PIC value were observed among maize genotypes
designating that tested genotypes are invaluable genetic materials for the breeding
program. In UPGMA classification by molecular markers, the genotypes were
identified three distinct clusters. The log-likelihood exposed by the
population structure with the optimum K value of 4, pointed out that genotypes
could be divided into four sub-populations. Genotypes involved in
sub-population IV analyzed by population structure, which was one group in
cluster IIIB constructed by UPGMA, indicating that genotypes in sub-population
IV were unique and diverse from other maize genotypes. Principal coordinate
analysis (PCoA) was performed to identify maize inbred lines into genetically
diverged and similar genotypes. Based on this finding, genotypes viz. TK.19.17, TK.19.20, TK.19.21, TK.19.27,
TK.19.28, TK19.31, TK.19.33, YZSI.20.006, YZSI.20.15, YZSI.20.16, YZSI.20.17,
YZSI.20.26, YZSI.20.054, YZSI.20.036 and YZSI.20.027 were genetically diverged
and useful in maize breeding program for the exploitation of heterosis.
Keywords
Genetic
diversity; maize inbred lines; SSR markers; PIC; clusters, population structure
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This work is licensed under the
Creative Commons Attribution
4.0
License (CC BY-NC 4.0).
Abstract
A total of 120 maize inbred lines were subjected to genetic diversity
analysis by 40 SSR markers. The study revealed total alleles of 146 across 40 simple sequence repeat (SSR) markers, ranged from 2 to 8 with the average of 4 per locus. Gene diversity
was observed with the mean value of 0.55, range from 0.11 to 0.71 among maize
genotypes. Polymorphism
Information Content (PIC) value ranged from 0.10 to 0.76 with the mean value of
0.48. Umc1525 was the best marker in this study for
identification of genotypes as revealed by its PIC values of 0.76. A wide range
of genetic variability and PIC value were observed among maize genotypes
designating that tested genotypes are invaluable genetic materials for the breeding
program. In UPGMA classification by molecular markers, the genotypes were
identified three distinct clusters. The log-likelihood exposed by the
population structure with the optimum K value of 4, pointed out that genotypes
could be divided into four sub-populations. Genotypes involved in
sub-population IV analyzed by population structure, which was one group in
cluster IIIB constructed by UPGMA, indicating that genotypes in sub-population
IV were unique and diverse from other maize genotypes. Principal coordinate
analysis (PCoA) was performed to identify maize inbred lines into genetically
diverged and similar genotypes. Based on this finding, genotypes viz. TK.19.17, TK.19.20, TK.19.21, TK.19.27,
TK.19.28, TK19.31, TK.19.33, YZSI.20.006, YZSI.20.15, YZSI.20.16, YZSI.20.17,
YZSI.20.26, YZSI.20.054, YZSI.20.036 and YZSI.20.027 were genetically diverged
and useful in maize breeding program for the exploitation of heterosis.
Abstract Keywords
Genetic
diversity; maize inbred lines; SSR markers; PIC; clusters, population structure
This work is licensed under the
Creative Commons Attribution
4.0
License (CC BY-NC 4.0).
Editor-in-Chief
This work is licensed under the
Creative Commons Attribution 4.0
License.(CC BY-NC 4.0).