scholarly journals Genetic Divergence in Chickpea (Cicer arietinum L.)

2012 ◽  
Vol 37 (1) ◽  
pp. 129-136
Author(s):  
MA Syed ◽  
MR Islam ◽  
MS Hossain ◽  
MM Alam ◽  
MN Amin
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cicer Arietinum ◽  
Genetic Divergence ◽  
Principal Component ◽  
Mean Value ◽  
Breeding Programs ◽  
Cicer Arietinum L ◽  
Cluster Distance ◽  
High Yielding Varieties

Genetic diversity of 27 chickpea genotypes was studied through Mahalanobis D2 and Principal Component analysis. The genotypes under study fall into five clusters. The cluster II contained the highest number of genotypes (11) and Cluster I contained the lowest. Cluster I produced the highest mean value for number of pods per plant. The inter cluster distances were much higher than the intra cluster distances. Cluster V exhibited the highest intra cluster distance while the lowest distance was observed in cluster I. The highest inter cluster distance was observed between cluster I and II while the lowest was between cluster III and V. Considering all the characters, it was suggested that the genotypes BD6549, BD6603, and BD6548 could used as parents for future breeding programs to develop high yielding varieties of chickpea. DOI: http://dx.doi.org/10.3329/bjar.v37i1.11184 Bangladesh J. Agril. Res. 37(1): 129-136, March 2012  

scholarly journals Assessment of Genetic Diversity using D2 Statistics in Chickpea (Cicer arietinum L.) under Late Sown Conditions

2021 ◽  
pp. 48-53
Author(s):  
Velugoti Priyanka Reddy ◽  
Gaibriyal. M. Lal ◽  
Subhadra Pattanayak ◽  
Jakkam Mahipal Reddy
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Plant Breeding ◽  
Cicer Arietinum ◽  
Analysis Of Variance ◽  
Genetic Divergence ◽  
Indian Institute ◽  
Cicer Arietinum L ◽  
Cluster Distance ◽  
Selection Of

An experiment was conducted during Rabi, 2019-20 at Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj (Allahabad) consisting of 36 chickpea genotypes obtained from ICAR-Indian Institute of Pulses Research, Kanpur, U.P in RBD with three replications. The data was recorded on 13 traits to study the genetic divergence. Analysis of variance revealed that there was considerable genetic variability in the available germplasm for all the characters studied. Divergence analysis revealed that highest inter cluster distance (1505.25) was found between clusters I and V indicates that there is ample scope for selection of better parents.

scholarly journals Genetic Diversity Of Some Restorer Lines For Hybrid Rice Development

1970 ◽  
Vol 36 (1) ◽  
pp. 21-28 ◽  
Author(s):  
MU Kulsum ◽  
MJ Hasan ◽  
H Begum ◽  
MM Billah ◽  
H Rahman
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Genetic Divergence ◽  
Hybrid Rice ◽  
Principal Component ◽  
Component Analysis ◽  
Spikelet Fertility ◽  
Restorer Line ◽  
Panicle Length ◽  
Cluster Distance

Genetic divergence of thirty six restorer lines was studied through Mohalanobis’s D2 and principal component analysis for nine characters. Genotypes were grouped into five different clusters. Cluster III comprised of maximum number of genotypes (eleven) followed by cluster I and IV. The inter-cluster distance was maximum between clusters II and IV (14.064) indicating wide genetic diversity between these two clusters followed by the distance between cluster II and V (10.353), cluster III and cluster IV (8.588). The minimum inter- cluster distance was observed between cluster I and cluster III (2.885) followed by cluster I and cluster V (4.359) and cluster III and cluster V (4.825) indicating that the genotypes of these clusters were genetically close. The intra cluster distance in the entire five clusters was less, which indicated that the genotypes within the same cluster were closely related. Among the characters, number of tillers/hill, panicle length, number of filled spikelets/ panicle, spikelet fertility % and yield/plant contributed most for divergence in the studied genotypes. It indicates that these parameters can contribute more for yield in hybrid rice development.   Keywords: Rice; restorer line; genetic divergence; D2. DOI: http://dx.doi.org/10.3329/bjar.v36i1.9226 BJAR 2011; 36(1): 21-28

scholarly journals Genetic divergence analysis of lime

1970 ◽  
Vol 7 (1) ◽  
pp. 33-37 ◽  
Author(s):  
MM Rahman ◽  
MAZ Al Munsur
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Distribution Pattern ◽  
Leaf Area ◽  
Genetic Divergence ◽  
Principal Component ◽  
Maximum Contribution ◽  
Cluster Distance ◽  
Minimum Number ◽  
Total Divergence

Genetic divergence of 40 lime accessions was estimated using D2 and principal component analysis. The genotypes under study fell into 6 clusters. The distribution pattern indicated that the maximum number of genotypes were included in cluster III and the minimum number in cluster VI. The inter cluster distance in most of the cases were higher than the intra cluster distance indicating wider genetic diversity among the accessions of different groups. The highest inter cluster distance was observed between cluster II and III (1568.51) followed by cluster II and VI (1223.72) showing wide diversity among the groups. The highest intra-cluster distance was observed for the cluster III and the lowest for the cluster VI. Leaf area and number of stamen showed maximum contribution towards total divergence among the genotypes. Keywords: Genetic Divergence; Lime; PCA; Genetic diversity DOI: 10.3329/jbau.v7i1.4795 J. Bangladesh Agril. Univ. 7(1): 33-37, 2009

scholarly journals Genetic Diversity of Drought Tolerant Upland Rice (Oryza sativa L.) Genotypes

2016 ◽  
Vol 13 (2) ◽  
pp. 133-139 ◽  
Author(s):  
S Hossain ◽  
M Salim ◽  
M S Akter ◽  
S Afroz ◽  
M S Noman
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Oryza Sativa ◽  
Genetic Divergence ◽  
Upland Rice ◽  
Oryza Sativa L ◽  
Principal Component ◽  
Drought Tolerant ◽  
Cluster Distance ◽  
Total Divergence

Genetic divergence of thirty three drought tolerant rice (Oryza sativa L.) genotypes were studied through Mohalanobis’s D2 and principal component analysis for twelve characters. The genotypes were grouped into seven clusters. The cluster I and II were comprised of the maximum number of genotypes (eight) in each followed by cluster V containing five genotypes. The highest inter-cluster distance was in between cluster III and I (368.64) indicating a wide genetic diversity between these two clusters followed by clusters VII and III (346.04). The lowest inter-cluster distance was in between cluster IV and II (42.46) followed by cluster VI and IV (63.29) indicating that the genotypes of these clusters were genetically close. The intra cluster distance in the entire seven clusters was less, which indicate that the genotypes within the same clusters were closely related. Considering the magnitude of genetic distance, contribution of different characters towards the total divergence and magnitude of cluster means for different characters performance, BR 7391-2B-7, BR 7392-2B-25, BR 6855-2B-11-3-4, BR 6855-2B-11-3-5  from cluster I, genotypes BR 6976-2B-15, and Morichbati from cluster III, genotypes BR 7187-2B-2-5 from cluster IV, genotype BR 7187-2B-2-3 and BR 7181-2B-35-2 from cluster V and genotypes BR 6855-2B-11-3-7 and BRRI dhan 42 from the cluster VII are likely to perform better if used in hybridization program.The Agriculturists 2015; 13(2) 133-139

scholarly journals GENETIC DIVERSITY IN VEGETABLE PEA (Pisum sativum L.)

2013 ◽  
Vol 26 (1) ◽  
pp. 35-40
Author(s):  
M. Rahman ◽  
M. Hasan ◽  
R. N. Chowdhury ◽  
N. A. Ivy ◽  
M. M. Hossain
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Pisum Sativum ◽  
Genetic Divergence ◽  
Principal Component ◽  
Reducing Sugar ◽  
Pisum Sativum L ◽  
Close Relationship ◽  
Cluster Distance ◽  
Minimum Number

An investigation was carried out to identify the extent of genetic divergence of seventeen vegetable pea genotypes at the Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh. Genetic divergence was estimated using D2 and principal component analysis. The genotypes under study fell into 4 clusters. The distribution pattern indicated that the maximum numbers of genotypes (6) were included in cluster II and cluster III and the minimum number in cluster IV (1). The inter-cluster distance was higher than the intra-cluster distance which indicated wider genetic diversity among the accessions of different groups. The highest inter-cluster distance was observed between II and IV. The lowest inter-cluster distance was observed between clusters II and III suggesting a close relationship among the genotypes of these two clusters. The highest intra-cluster distance was observed for the cluster II. The positive values of vector I and vector II for plant height, 50% flowering and non-reducing sugar indicated that these characters had the highest contribution towards the divergence among the pea genotypes. The genotypes of vegetable pea from cluster II and cluster IV maybe selected as parents in future hybridization program.DOI: http://dx.doi.org/10.3329/bjpbg.v26i1.19982

scholarly journals Genetic diversity analysis of parental lines for hybrid development in rice (Oryza sativa L.)

2013 ◽  
Vol 37 (4) ◽  
pp. 617-624 ◽  
Author(s):  
MJ Hasan ◽  
Umma Kulsum ◽  
MMH Rahman ◽  
MMH Chowdhury ◽  
AZMKA Chowdhury
Keyword(s):  
Genetic Diversity ◽  
Oryza Sativa L ◽  
Principal Component ◽  
Mean Value ◽  
Cluster Distance ◽  
Parental Lines ◽  
Almost All ◽  
Yield Maximization ◽  
Hybrid Development ◽  
Panicle Weight

Genetic divergence of 40 parental lines comprising 30 restorer and 10 maintainer lines were studied through Mohalanobis's D2 and principal component analysis for eleven characters. Genotypes were grouped into five different clusters. Cluster V comprised maximum number of genotypes (thirteen) followed by cluster I and II. The inter-cluster distance was maximum between clusters I and V (13.495) indicating wide genetic diversity between these two clusters followed by the distance between cluster I and 11 (9.489), cluster IV, and cluster V (8.969) and cluster I and cluster III (8.039). The minimum inter-cluster distance was observed between cluster II and cluster III (3.034) followed by cluster 111 and cluster IV (3.834) and cluster II and cluster V (4.945) indicating that the genotypes of these clusters were genetically close. The intra cluster distance in the entire five clusters was more or less low which indicated that the genotypes within the same cluster were closely related. Among the characters panicle weight contributed most for divergence in the studied parental lines. Difference in cluster means existed for almost all the characters studied. Highest mean value for number of effective tillers (7.8), days to 50% flowering (95.5), panicles/m2 (192.6), panicle weight (2.9), spikelet fertility (84.8), number of grains/panicle (177.8), days to maturity (123.6), and grain yield/plot (1065.5) were observed in cluster I indicated the parental lines fallen in this cluster having the genetic potentiality to contribute better for yield maximization of hybrid rice. DOI: http://dx.doi.org/10.3329/bjar.v37i4.14386 Bangladesh J. Agril. Res. 37(4): 617-624, December 2012

Characterisation of genetic diversity and DNA fingerprinting of Australian chickpea (Cicer arietinum L.) cultivars using MFLP markers

2008 ◽  
Vol 59 (8) ◽  
pp. 707 ◽  
Author(s):  
R. Lin ◽  
H. Yang ◽  
T. N. Khan ◽  
K. H. M. Siddique ◽  
G. Yan
Keyword(s):  
Genetic Diversity ◽  
Cicer Arietinum ◽  
Dna Markers ◽  
Fragment Length Polymorphism ◽  
Grain Legume ◽  
Dna Fingerprints ◽  
Breeding Programs ◽  
Cicer Arietinum L ◽  
The World ◽  
Chickpea Cultivars

Chickpea (Cicer arietinum L.) is one of the major grain legume crops in the world. In this study, the genetic diversity of 24 Australian chickpea cultivars released between 1987 and 2005 was investigated with microsatellite-anchored fragment length polymorphism (MFLP) DNA markers. Among the cultivars examined, 30 cultivar-specific markers were identified and all were unequivocally identified using the DNA fingerprints developed in this study. Most of the cultivars were grouped into two major clusters; cv. Flipper was separated from the rest based on total character differences of DNA polymorphism. The MFLP approach proved suitable in the analysis of genetic diversity among the chickpea cultivars studied and the genetic relationship identified will be useful for chickpea breeding programs in selecting parent materials.

Genetic diversity and population structure of Algerian chickpea (Cicer arietinum) genotypes: use of agro-morphological traits and molecular markers linked or not linked to the gene or QTL of interest

2020 ◽  
Vol 71 (2) ◽  
pp. 155
Author(s):  
Djihad Bellemou ◽  
Teresa Millàn ◽  
Juan Gil ◽  
Aissa Abdelguerfi ◽  
Meriem Laouar
Keyword(s):  
Genetic Diversity ◽  
Molecular Markers ◽  
Cicer Arietinum ◽  
Morphological Traits ◽  
Ascochyta Blight ◽  
Principal Component ◽  
Breeding Programs ◽  
Average Value ◽  
Conservation Of Genetic Resources ◽  
Resistant Genotypes

Assessment of genetic diversity among chickpea (Cicer arietinum L.) germplasm at the morphological and molecular levels is fundamental for chickpea breeding and conservation of genetic resources. Genetic variability of 46 chickpea genotypes including 42 Algerian genotypes and four control varieties was evaluated by using 15 agro-morphological traits. Eleven molecular markers including nine simple sequence repeats, one sequence characterised amplified region (SCY17) and one gene-specific (CaETR4) were used to characterise the 46 genotypes and eight references varieties added for disease resistance or susceptibility. Genotypes resistant to ascochyta blight were identified by the markers SCY17 and CaETR4 present together. High diversity was observed for all measured morphological traits between genotypes. Yield components, plant height, phenological traits and growth habit were the traits most involved in variation among genotypes and were partitioned into four groups by using principal component analysis. All molecular markers were polymorphic. In total, 91 alleles were obtained ranging from 2 to 21 per locus with average of 8.27 alleles per marker. Polymorphism information content ranged from 0.58 to 0.99 with an average value of 0.87. UPGMA clustering and Bayesian-based model structure analysis grouped genotypes into two clusters, but the distribution of the genotypes by cluster was not the same for the two analyses. According to the presence of markers indicating resistance to ascochyta blight (SCY17 and CaETR4), three resistant genotypes (FLIP 82-C92, ILC 6909, ILC 7241) were selected and should be tested in controlled conditions for confirmation. Considering the narrow diversity of cultivated chickpea, the Algerian genotypes can be considered as interesting for future breeding programs.

Genetic divergence and stability (AMMI) study in chickpea (Cicer aeritinum L.) under north western Himalayas of Jammu and Kashmir, India

2016 ◽  
Author(s):  
Sanjeev Kumar ◽  
Praveen Singh ◽  
Magdeshwar Sharma
Keyword(s):  
Genetic Diversity ◽  
Mean Value ◽  
Western Himalayas ◽  
Jammu And Kashmir ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Breeding Programmes ◽  
Ammi Model ◽  
High Yielding Varieties ◽  
North Western

Genetic diversity of seventeen chickpea genotypes was studied through Mahalanobis D2, Tocher’s Method. The genotypes under study fall into five clusters. The cluster- IInd contained the highest number of genotypes (08) and Cluster IV and V contained the lowest (01). Cluster- II produced the highest mean value for days to maturity. The inter-cluster distances were much higher than the intra-cluster distances. Cluster-V exhibited the highest intra-cluster distance while the lowest distance was observed in cluster-IV and V. The highest inter-cluster distance was observed between cluster-III and V while the lowest was between cluster-I and IV. Considering all the characters, it is suggested that the genotypes 81-0-800, C-306, 96907, C-235 and SCS-3 could be used as parents for future breeding programmes to develop high yielding varieties of chickpea. As per AMMI model, two genotypes i.e. C-81 and 96911 were identified as having wider adaptability along with higher seed yield per plant.

scholarly journals Genetic Divergence in Pointed Gourd

1970 ◽  
pp. 87-92 ◽  
Author(s):  
MY Kabir ◽  
ASMMR Khan ◽  
MS Hassain
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Agricultural Research ◽  
Growing Season ◽  
Mean Value ◽  
Research Station ◽  
Cluster Distance ◽  
Late Maturity ◽  
Pointed Gourd ◽  
Clustering Pattern

The experiment was conducted at the Regional Agricultural Research Station, Ishurdi, Pabna during the growing season 2005-2006 to estimate the genetic diversity among 24 genotypes of pointed gourd by using Mahalanobis D² statistics for nine characters. The genotypes were grouped in to five clusters. The cluster I and III consisted of highest number of genotypes and it was six. The cluster IV contained the lowest number of genotypes and it was three. The clustering pattern of the genotypes under this study revealed that the genotypes collected from the same location were grouped into different clusters. The genotypes of Kushtia were distributed in different clusters. The inter cluster distance were larger than the intra cluster distance suggesting wider genetic diversity among the genotypes of different groups. The highest intra cluster distance was computed for cluster IV (35.80) and the minimum intra cluster distance was found in cluster III (18.37). The clusters IV and II were more diverse as indicated by maximum inter cluster distances between them (41.56) and the minimum inter cluster divergence was observed between cluster III and II (6.84). Cluster II had the highest cluster mean value for number of fruits per plant (391), weight of fruit per plant (11.72kg) and yield (35.28t/ha). Genotypes of the cluster V had late maturity. Key words: Genotype; genetic diversity; pointed gourd. DOI: 10.3329/jard.v7i1.4426 J Agric Rural Dev 7(1&2), 87-92, June 2009

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