Genetic diversity analysis of CIMMYT-mid-altitude maize inbred lines using AFLP markers

2006 ◽  
Vol 23 (1) ◽  
pp. 49-53 ◽  
Author(s):  
B. W. Legesse ◽  
A. A. Myburg ◽  
K. V. Pixley ◽  
A. M. Botha
2018 ◽  
Vol 43 (4) ◽  
pp. 533-542
Author(s):  
Maniruzzaman ◽  
MG Azam ◽  
S Islam ◽  
MG Hossain ◽  
MM Rohman

Genetic diversity analysis and germplasm characterization are essential steps in plant breeding and molecular markers are proved tool to accomplish. The present study was undertaken at the Molecular Breeding Lab of Plant Breeding Division, Bangladesh Agricultural Research Institute (BARI) to determine the genetic relatedness and molecular characterization of 15 maize inbred lines of BARI. In present study, genetic diversity analysis was performed by using 10 SSR primers to evaluate the polymorphisms, among them six primers showed distinct polymorphism between the maize inbred lines. The maize genotypes E81, E144, E08, E167, E102, E142 and E121 were found more diverged (0.9003) compared to other inbred lines. On the other hand, the lowest genetic distance values (0.1501) were found between the genotype E140 and genotype E80 followed by genotype E126 and genotype E140; genotype E140 and genotype E65; genotype E65 and genotype E80 values were identical (0.4502). The genotypes viz. E81, E144, E08, E167, E102, E142 and E121 were found far away from centroid of the cluster and rest of the genotypes were placed around the centroid. The Principal Coordinate Analysis (PCO) helped to visualize four major clusters and showed that seven maize inbred lines (E81, E58, E08, E167, E102, E142 and E121) were far away from the other genotypes. In conclusion, SSR markers enabled discrimination among accessions and provided valuable information for future use in improvement of these genomic resources.Bangladesh J. Agril. Res. 43(4): 533-542, December 2018


2011 ◽  
Vol 91 (4) ◽  
pp. 651-661 ◽  
Author(s):  
L. M. Reid ◽  
K. Xiang ◽  
X. Zhu ◽  
B. R. Baum ◽  
S. J. Molnar

Reid, L. M., Xiang, K., Zhu, X., Baum, B. R. and Molnar, S. J. 2011. Genetic diversity analysis of 119 Canadian maize inbred lines based on pedigree and simple sequence repeat markers. Can. J. Plant Sci. 91: 651–661. Since the early 1920s Agriculture and Agri-Food Canada (AAFC) has been developing maize varieties and inbred lines adapted to the early maize growing regions. These inbreds represent a large group of genetically diverse genotypes; however, many of the inbreds are of unknown heterotic backgrounds. The purpose of this study was to classify 119 elite maize inbred lines released from AAFC into heterotic groups using both pedigree data and simple sequence repeat (SSR) markers and also to explore the consistency among different classification analyses. Pedigree analysis placed the inbred lines into eight groups, six of which corresponded to known major heterotic groups representing Iowa Stiff Stalk Synthetic (BSSS), European flint, Lancaster, Minnesota 13, Early Butler, and Iodent; the two remaining groups consisted of germplasm derived mostly from Pioneer 3990 or Pioneer 3994 sources. Simple sequence repeat analysis of 105 loci resulted in a clustering of the inbreds into 10 groups. In comparison with the grouping based on pedigree, the SSR clustering groups had some discrepancies and groups of genetically similar germplasm, based on pedigree, could not always be confirmed with molecular markers. The results of this study will allow researchers and maize breeders to make more informed decisions on the use of these inbreds in breeding programs.


Author(s):  
Rodica POP ◽  
Ioan HAS ◽  
Iulia Francesca POPESCU ◽  
Monica HARTA ◽  
Doru PAMFIL

Knowledge of genetic diversity and relationships among maize inbred lines is indispensable to a breeding program. Our objective was to investigate the level of genetic diversity among maize inbred lines. Eighty-three maize inbred lines obtained from SCDA Turda were genotyped using 20 decamer primers. These primers generated, among the studied genotypes, a number of polymorphic bands comprised between 17 bands (OPA 03) and 7 bands (OPAB 11). The highest numbers of polymorphic bands were obtained with primer OPA 03, respectively 17 bands, followed by OPA 01, OPB 08 (16 polymorphic bands) and OPX 03 and OPAL 20 (13 polymorphic bands). Genetic distances were established using Nei Li/Dice coefficent and an UPGMA dendrogram was constructed with FreeTree software. The built dendrogram shows phylogenetic relationships between the analysed biological material.


2020 ◽  
Vol 37 (1) ◽  
pp. 101-108
Author(s):  
Degife Asefa Zebire

Molecular markers are efficient for exploiting variations in genotypes as they are not influenced by environmental factors and also speed up breeding programs. They are used to detect large numbers of distinct divergence between genotypes at the DNA level. Genetic diversity study helps to estimate the relationship between inbred lines to make the best hybrid combinations. Lines which are clustered in different heterotic groups are considered as the best hybrid combinations to carry out further breeding activities. Molecular markers are used to meet a number of objectives, including genetic diversity analysis and prediction of hybrid performances in divergent crop species. Agro-morphological and molecular markers have been utilized to study genetic diversity so far. In maize, the uses of molecular markers are important for the evaluation of genetic diversity of inbred lines and in clustering them into heterotic groups. These markers determine genetic similarity of the lines and are used to assess the genetic diversity of maize. Molecular markers have proven valuable for genetic diversity analysis of many crop species and genetically diverse lines are important to improve hybrid breeding. Keyword: Molecular marker; Genetic diversity; Genetic variation, Diversity Array technology; cluster analysis


2014 ◽  
Vol 50 (12) ◽  
pp. 1294-1301
Author(s):  
Y. L. Liu ◽  
M. Cheng ◽  
M. F. Jiang ◽  
Y. Wang ◽  
J. Wang ◽  
...  

2014 ◽  
Vol 50 (12) ◽  
pp. 1440-1447 ◽  
Author(s):  
Y. L. Liu ◽  
M. Cheng ◽  
M. F. Jiang ◽  
Yo. Wang ◽  
Jie Wang ◽  
...  

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