scholarly journals Genetic Diversity Analysis and F2 Population Development for Breeding of Long Juvenile Trait in Soybean

2018 ◽  
Vol 14 (1) ◽  
pp. 11 ◽  
Author(s):  
I Made Tasma ◽  
N. P. Mega Gena Yani ◽  
Rosliana Purwaningdyah ◽  
Dani Satyawan ◽  
Kristianto Nugroho ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Segregation Ratio ◽  
Genetic Distances ◽  
Day Length ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis ◽  
F2 Population ◽  
Soybean Genotypes ◽  
The Usa

<p>Genetic diversity analysis using molecular markers is an important step for selecting appropriate parents in a soybean breeding program. The aims of this study were to (1) analyze genetic diversity of 29 soybean genotypes assessed with 27 SSR markers for selecting appropriate parents and (2) develop F2 populations to be used for breeding long juvenile (LJ) trait in soybean to<br />be cultivated in short photoperiod condition. The soybean genotypes used consisted of 11 Indonesian soybean genotypes and 18 genotypes introduced from the USA. F2 populations were developed by crossing Grobogan with three introduced genotypes carrying LJ character. The PIC values of the 27 SSR markers ranged from 0.87 to 0.96. Cluster analysis resulted in three main<br />clusters at coefficient similarity of 0.76. The five LJ introduced accessions and the nine Indonesian genotypes showed high genetic distances and are useful as parent pairs for developing breeding populations. The F1 progeny phenotypic<br />performances of the cross far exceeded the performaces of both parents. Three F2 populations were developed by crossing the distantly related soybean genotypes. The F2 populations were verified by using SSR markers and it was found that they segregated in a 1:2:1 ratio confirming the segregation ratio of codominant SSR markers. The F2 populations should be useful for breeding LJ characters to improve soybean productivity in low latitude tropical countries such as Indonesia, which has day length of approximately 12 h all year round.</p>

scholarly journals Validation of Drought Tolerance Gene-linked Microsatellite Markers and Their Efficiency for Diversity Assessment in a Set of Soybean Genotypes

2021 ◽  
pp. 48-57
Author(s):  
Nishi Mishra ◽  
M. K. Tripathi ◽  
Niraj Tripathi ◽  
Sushma Tiwari ◽  
Neha Gupta ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Drought Tolerance ◽  
Ssr Markers ◽  
Diversity Analysis ◽  
Molecular Screening ◽  
Genetic Diversity Analysis ◽  
Drought Tolerant ◽  
Diversity Assessment ◽  
Soybean Genotypes ◽  
Tolerance Gene

Aim: Soybean is well-thought-out to be a major crop owing to its significant involvement as vegetable oil and protein in human diet. However, inopportunely, its production has been melodramatically declined attributable to the commonness of drought related stress. Study Design: During the present study a total of 53 soybean genotypes were selected. For molecular diversity analysis as well as validation total 12 SSR markers were used. Molecular screening of soybean genotypes was done to determine the efficiency of available markers in genetic diversity analysis as well as their validation on the basis of their association with drought tolerance gene. Place and Duration of the Study: The present study was conducted at Department of Plant Molecular Biology and Biotechnology, College of Agriculture, Gwalior, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, M.P., India during the year 2018 - 2019. Methodology: Template DNA of all 53 selected soybean genotypes extracted for molecular screening. The current investigation has been accomplished to validate the available SSR markers with their efficiency in genetic diversity analysis in a set of soybean genotypes. Results: Among applied drought tolerance gene-linked 12 SSR molecular markers, the highest genetic diversity (0.6629) was noticed in Satt520 while lowest (0.0370) was in Satt557 with an average of 0. 3746.While, the highest PIC value was 0.5887 prearranged by Satt520 and lowest 0.0363 by Satt557 with the mean worth of 0.3063. Conclusion: Dendrogram constructed on the basis of banding profile of employed markers was able to discriminate some putative drought tolerant genotypes i.e., JS97-52, JS95-60 from rest of the genotypes. The results of the present examination may donate towards enhancement of soybean genotypes to bread drought tolerant varieties.

scholarly journals Genetic Diversity Analysis of Soybean [Glycine max (L.) Merrill.] Germplasms in Bangladesh Using SSR Markers

2021 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
M. K. Khatun ◽  
M. A. Haque ◽  
M. A. Malek ◽  
M. H. Rashid ◽  
S. Islam ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Polymorphic Information Content ◽  
Mean Value ◽  
Ammonium Bromide ◽  
Diversity Analysis ◽  
Dna Ladder ◽  
Genetic Diversity Analysis ◽  
Soybean Genotypes ◽  
The Mean

The purpose of the present study was to investigate the genetic diversity and molecular characterization of 50 soybean genotypes in Bangladesh with 20 SSR markers. Genomic DNA was isolated by modified standard cetyl tri-methyl ammonium bromide (CTAB) extraction protocol and alleles were amplified by polymerase chain reaction (PCR). Allele sizes were estimated in comparison with 50 bp DNA ladder. The software NTSYSpc version 2.2 and POPGENE version 1.31 were utilized for molecular data analysis and preparation of dendrogram. Polymorphic Information Content (PIC) values varied from 0.53 (Satt664) to 0.98 (Satt009, Satt330 and Satt522) with the mean value 0.897 and expected heterozygosity varied from 0.4059 (Satt685) to 0.1246 (Satt664) with the mean value 0.244. The dendrogram analysis depicted that the 50 genotypes were grouped in four (4) major clusters. The most diverse genotypes were SBG-1, PM-78-6-3-13, BS-3 and AGS-31, which suggest that the simple sequence repeat (SSR) markers are very efficient for genetic diversity analysis. The similarity matrix revealed the diversity among genotypes. The diverse genetic materials obtained from the present study on genetic diversity of soybean genotypes in Bangladesh may be utilized in the future breeding programme.

Genetic diversity analysis among soybean genotypes using SSR markers in Uganda

2020 ◽  
Vol 19 (7) ◽  
pp. 439-448
Author(s):  
Mukuze Clever ◽  
Tukamuhabwa Phinehas ◽  
Maphosa Mcebisi ◽  
Dari Shorai ◽  
Onziga Dramadri Isaac ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis ◽  
Soybean Genotypes

scholarly journals Genetic Diversity Analysis of Peach [Prunus persica (L.) Batsch] Varieties Using SSR Markers

2013 ◽  
Vol 45 (3) ◽  
pp. 201-211 ◽  
Author(s):  
Jee-Hwa Hong ◽  
Seung-In Yi ◽  
Yong-Sham Kwon ◽  
Young Kim ◽  
Keun-Jin Choi
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Prunus Persica ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis

A genetic diversity analysis of South African sorghum genotypes using SSR markers

2014 ◽  
Vol 31 (3) ◽  
pp. 145-152 ◽  
Author(s):  
Alina Mofokeng ◽  
Hussein Shimelis ◽  
Pangirayi Tongoona ◽  
Mark Laing
Keyword(s):  
Genetic Diversity ◽  
South African ◽  
Ssr Markers ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis ◽  
Sorghum Genotypes

Genetic diversity analysis of kenaf ( Hibiscus cannabinus L.) using AFLP (amplified fragment length polymorphism) markers

2008 ◽  
Vol 7 (02) ◽  
pp. 122-126 ◽  
Author(s):  
Rouxlene Coetzee ◽  
Liezel Herselman ◽  
Maryke T. Labuschagne
Keyword(s):  
South Africa ◽  
Genetic Diversity ◽  
North America ◽  
El Salvador ◽  
Fragment Length Polymorphism ◽  
Hibiscus Cannabinus ◽  
Aflp Analysis ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis ◽  
The Usa

Nineteen kenaf genotypes from Cuba, Taiwan, the USA, El Salvador, Guatemala, Russia, Spain and Indonesia, and three wild types collected in South Africa were analysed for genetic diversity using AFLP analysis. All could be uniquely distinguished from one another, but only a low level of genetic diversity was present. The most distinct accession, Guatemala 4, was 85% similar to all other accessions. The accessions clustered more or less according to known pedigree and/or origin. Two of the three wild types (Hibiscus cannabinusc andH. cannabinusa) clustered separately from the commercial and Russian accessions. One of the wild types,H. cannabinusb clustered with some of the commercial accessions. Commercial accessions in the first subgroup all originated from central and North America, and surrounding islands (Cuba and El Salvador). The Russian accessions are all grouped together. The second subgroup was the only group that contained accessions from different geographical origins.

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