scholarly journals Genetic Diversity Analysis among Inbred Lines of Pearl millet [Pennisetum glaucum (L.) R. Br.] Based on Grain Yield and Yield Component Characters

2017 ◽  
Vol 6 (6) ◽  
pp. 2240-2250 ◽  
Author(s):  
A. Radhika Ramya ◽  
M. Lal Ahamed ◽  
Rakesh K. Srivastava
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Pearl Millet ◽  
Pennisetum Glaucum ◽  
Inbred Lines ◽  
Yield Component ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis

Genetic Diversity Analysis of Elite Pearl Millet Inbred Lines using RAPD and SSR Markers

2007 ◽  
Vol 16 (1) ◽  
pp. 23-28 ◽  
Author(s):  
A. C. Chandra-Shekara ◽  
B. M. Prasanna ◽  
S. R. Bhat ◽  
B. B. Singh
Keyword(s):  
Genetic Diversity ◽  
Pearl Millet ◽  
Ssr Markers ◽  
Inbred Lines ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis

Molecular assessment of maize inbred lines (Zea mays L.) Using microsatellite markers

2018 ◽  
Vol 43 (4) ◽  
pp. 533-542
Author(s):  
Maniruzzaman ◽  
MG Azam ◽  
S Islam ◽  
MG Hossain ◽  
MM Rohman
Keyword(s):  
Genetic Diversity ◽  
Plant Breeding ◽  
Genetic Relatedness ◽  
Agricultural Research ◽  
Inbred Lines ◽  
The Other ◽  
Diversity Analysis ◽  
Genetic Diversity Analysis ◽  
Maize Inbred Lines ◽  
Maize Genotypes

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

scholarly journals Applications of molecular markers in Genetic Diversity Studies of maize

2020 ◽  
Vol 37 (1) ◽  
pp. 101-108
Author(s):  
Degife Asefa Zebire
Keyword(s):  
Genetic Diversity ◽  
Molecular Markers ◽  
Inbred Lines ◽  
Hybrid Breeding ◽  
Diversity Analysis ◽  
Crop Species ◽  
Heterotic Groups ◽  
Genetic Diversity Analysis ◽  
Diversity Studies ◽  
Genetic Diversity Study

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

Genetic diversity analysis of 119 Canadian maize inbred lines based on pedigree and simple sequence repeat markers

2011 ◽  
Vol 91 (4) ◽  
pp. 651-661 ◽  
Author(s):  
L. M. Reid ◽  
K. Xiang ◽  
X. Zhu ◽  
B. R. Baum ◽  
S. J. Molnar
Keyword(s):  
Genetic Diversity ◽  
Simple Sequence Repeat ◽  
Inbred Lines ◽  
Diversity Analysis ◽  
Sequence Repeat ◽  
Heterotic Groups ◽  
Simple Sequence Repeat Markers ◽  
Genetic Diversity Analysis ◽  
Maize Inbred Lines ◽  
Simple Sequence

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.

Trait association among beta carotene content and yield attributes in recombinant inbred lines of pearl millet [Pennisetum glaucum (L.) R. Br.]

2016 ◽  
Author(s):  
R . Naveen ◽  
P . Sumathi ◽  
N . Manivannan
Keyword(s):  
Grain Yield ◽  
Pearl Millet ◽  
Indirect Effect ◽  
Pennisetum Glaucum ◽  
Recombinant Inbred Lines ◽  
Beta Carotene ◽  
Inbred Lines ◽  
Grain Weight ◽  
Carotene Content ◽  
1000 Grain Weight

Pearl millet [Pennisetum glaucum (L.) R. Br.] is the staple diet for a vast majority of poor farmers in arid and semi-arid regions of India. An experiment was conducted at Millet Breeding Station, Tamil Nadu Agricultural University, Coimbatore to determine the interrelationship between yield and yield component traits in 250 recombinant inbred lines (RILs) of pearl millet during summer 2015. A perusal of the results of this study showed positive significant and strong genotypic and phenotypic correlations between grain yield per plant and plant height, number of productive tillers per plant, earhead length, earhead girth, single earhead weight, single earhead grain weight, 1000- grain weight and beta carotene content. Path coefficient analysis indicated that number of productive tillers per plant and single earhead grain weight had high direct effect on grain yield per plant. High indirect effect on grain yield per plant was caused by single earhead weight via single earhead grain weight and single earhead weight, single earhead grain weight and 1000- grain weight influences grain yield per plant through moderate positive indirect effect of number via productive tillers per plant. Based on the present results, it could be concluded that number of productive tillers per plant, earhead girth, single earhead weight and single earhead grain weight could be identified as the most important traits that are associated with grain yield in pearl millet. Hence these traits can be used as selection criteria for yield improvement in pearl millet.

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