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 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 Genetic Divergence in Stem Amaranth (Amaranthus tricolor L.) Genotypes for Yield and its Component Characters

2013 ◽  
Vol 11 (1) ◽  
pp. 82-88
Author(s):  
CA Akther ◽  
M Hasan ◽  
MS Raihan ◽  
MM Hossain ◽  
MAK Mian
Keyword(s):  
Genetic Diversity ◽  
Distribution Pattern ◽  
Analysis Of Variance ◽  
Genetic Divergence ◽  
Amaranthus Tricolor ◽  
Significant Difference ◽  
Close Relationship ◽  
Cluster Distance ◽  
Minimum Number

An investigation was carried out to identify the extent of genetic divergence that exist for the yield and yield contributing characters of seventeen genotypes of amaranth using Mahalanobis D2 analysis. Analysis of variance showed significant difference among the genotypes for most of the characters studied. The genotypes under study fell into 4 clusters. The distribution pattern indicated that the maximum number of genotypes (6) was included in cluster (IV) followed by cluster III (5) and cluster II (5), and the minimum number was in cluster I (1). The inter cluster distance in most of the cases 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 IV and I, followed by the distance between cluster II and I showing wide diversity among the groups. The lowest inter-cluster distance was observed between clusters III and II suggesting a close relationship among the genotypes of these two clusters. The highest intra-cluster distance was observed for the cluster IV and the lowest for the cluster I. The positive values of vector I and vector 2 for stem weight and weight of leaf indicated that these two characters had the highest contribution towards the divergence among the stem amaranths. The genotypes of stem amaranth from cluster I and cluster IV may be selected as parents in future hybridization program. DOI: http://dx.doi.org/10.3329/agric.v11i1.15247 The Agriculturists 2013; 11(1) 82-88

scholarly journals Diversity Analysis in Chickpea (Cicer arietinum L.) Genotypes under Temperate Conditions

2020 ◽  
pp. 9-14
Author(s):  
Mohd Aslam Dar ◽  
Noor-Ul-Saleem Khuroo ◽  
Reyaz-Ul-Rouf Mir ◽  
Zahoor Ahmad Dar ◽  
Parvaze Ahmad Sofi ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cicer Arietinum ◽  
Seed Weight ◽  
Diversity Analysis ◽  
Cicer Arietinum L ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Genetic Diversity Study ◽  
100 Seed Weight ◽  
Diversity Study

Genetic diversity study was conducted in 38 chickpea (Cicer arietinum L.) genotypes using Mahalanobis D2 Statistics. The current research performed at FoA, Wadura Sopore, SKUAST-Kashmir in the rabi 2017-18. In the present study, total seven clusters have been formed and range of D2 values is from 301.78 to 8477.71, cluster II includes maximum 12 genotypes after that cluster I having 9 genotypes, cluster IV having 6 genotypes, cluster Ⅲ and Ⅴ having 4 genotypes, cluster Ⅵ having 2 genotypes and cluster Ⅶ with 1 genotype. 959.33 to 8477.71 is the range of inter cluster distance. Highest inter cluster distance (8477.71) was found between the clusters, Ⅵ and Ⅶ followed by the clusters, Ⅳ and Ⅶ (5814.62), Ⅳ and Ⅴ (5807.441), Ⅴ and Ⅵ (4659.34). The minimum inter-cluster distance (959.33) possessed by clusters, Ⅱ and Ⅲ. After comprehending the intra cluster divergence it has been found that cluster Ⅳ has highest intra cluster distance (637.07) then cluster I (459.16). Since cluster Ⅶ includes only one genotype which indicates that there is no intra cluster divergence. Total nine traits have been evaluated, plant height registered higher divergence (49.25%) then pods plant-1 (36.12%), days to 50% flowering (4.13%) and days to maturity (2.7%), secondary branches plant-1 (3.24%), seed yield plant-1 (1.28%) and primary branches plant-1 (1.14%). The 100-seed weight (1.12%) and seeds pod-1 (1.02%) possesses less divergence. By considering above results the nine genotypes viz., IR-1, IR-3, IR-30, IR-20, IR-21, IR-10, IR-2, IR-7 and IR-31 have been recognized as desired genotypes for use in future breeding programme.

Genetic Relationships and Principal Component Analysis in Elite Chickpea (Cicer arietinum L.) Genotypes for Seed Yield and Its Component Traits

2020 ◽  
Author(s):  
D. K. Janghel ◽  
Krishan Kumar ◽  
S. S. Verma ◽  
A. K. Chhabra
Keyword(s):  
Genetic Diversity ◽  
Cicer Arietinum ◽  
Seed Yield ◽  
Genetic Relationships ◽  
Component Analysis ◽  
Yield Improvement ◽  
Cicer Arietinum L ◽  
Effective Selection ◽  
Component Traits ◽  
Selection Of

Background: Chickpea (Cicer arietinum L.) is the important Rabi season food legume crop ranked third after common bean and field pea. The degree and extent of trait variability, genetic relationship and genetic diversity in promising chickpea genotypes should be known for possible yield improvement. Realizing the importance of genetic relationships and genetic diversity in key economic traits, the present investigation envisaged to measure the genetic relationships in the yield component traits to make effective selection for yield improvement in chickpea breeding programme. Methods: The experimental material comprised of 60 chickpea genotypes (both Desi and Kabuli types), grown in RBD with three replications at Pulses Section of Department of Genetics and Plant Breeding, CCSHAU, Hisar during Rabi 2014-15. The data on 11 quantitative traits was analysed for ANOVA, correlation coefficient, path coefficient, regression and principle component analysis. Result: The present study has led the understanding of many inter-related traits involved in the genetic variation of chickpea seed yield. This would certainly provide guidelines for selection of parents as well as effective selection of promising chickpea genotypes, and also have paramount importance in formulating plant model for selection of segregating generations in chickpea breeding programmes for development of high yielding varieties.

scholarly journals ​Estimation of Genetic Variability and Genetic Divergence in Dolichos Bean [Lablab purpureus (L.) Sweet.] Genotypes

2021 ◽  
Author(s):  
Udit Kumar ◽  
Pramila . ◽  
K. Prasad ◽  
R.K. Tiwari ◽  
Saipayan Ghosh ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Genetic Divergence ◽  
Mean Value ◽  
Yellow Mosaic Virus ◽  
Lablab Purpureus ◽  
Wide Range ◽  
Cluster Distance ◽  
Maturity Period

Background: Dolichos bean is an important leguminous vegetable having a wide range of variation in different quantitative characters. Assessing genetic diversity among dolichos bean accessions can ensure development of suitable high-yielding and adapted varieties with suitable maturity period. Methods: Fifteen genotypes were evaluated for different characters in Dolichos bean at two locations of Dr. Rajendra Prasad Central Agricultural University viz. Vegetable Research Farm, Pusa and Krishi Vigyan Kendra, Birauli, Samastipur, Bihar during the year 2018-19 and pooled data was analyzed. The genotypes were evaluated for genetic variability and genetic divergence for 14 characters. For the assessment of genetic diversity among the fifteen genotypes of dolichos bean, Mahalanobis (D2) statistic (Mahalanobis, 1936) was used, following the procedure given by Rao, 1952. Grouping of genotypes into clusters was done using Tocher’s method as described by Rao, 1952. Result: Phenotypic Coefficient of Variation (PCV) was slightly higher than Genotypic Coefficient of Variation (GCV) for all the characters indicated that the characters were less influenced by environment. The characters having high heritability and high genetic advance include harvesting duration, number of pods per plant, pod length, pod diameter, individual pod weight, weight of seeds per pod, 100 fresh green seed weight, pod yield and percent incidence of yellow mosaic virus. Therefore, selection for above characters is highly effective. Genetic diversity analysis evaluated that all genotypes could be placed into 6 clusters. Genotypes grouped in Cluster III and I have highest mean value for all characters as well as highest inter-cluster distance.

scholarly journals Estimation of Genetic Diversity in Onion (Allium cepa L.)

2016 ◽  
Vol 13 (1) ◽  
pp. 26-34 ◽  
Author(s):  
M S Akter ◽  
A Biswas ◽  
S S Siddique ◽  
S Hossain ◽  
N A Ivy
Keyword(s):  
Genetic Diversity ◽  
Multivariate Analysis ◽  
Plant Breeding ◽  
Allium Cepa ◽  
Genetic Divergence ◽  
Block Design ◽  
Field Laboratory ◽  
Randomized Complete Block Design ◽  
Cluster Distance

The experiment was conducted at the field laboratory of the Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur during November 2008 to March 2009 to estimate the genetic diversity of exotic and local onion. Ten genotypes of onion were evaluated for 16 characters in a randomized complete block design to study the genetic divergence through multivariate analysis. Ten genotypes formed three clusters. Cluster III contained maximum number of five genotypes. Cluster I and II contained three and two genotypes, respectively. The inter cluster distance was larger than the intra cluster distances. The inter cluster distance was maximum between the cluster II and III (6.336) and minimum between the cluster I and II (3.876). The intra cluster distance in the entire three clusters was more or less low, indicating that genotypes within the same cluster were closely related. Considering clustered distance and cluster mean, the intra cluster distance revealed that the genotypes Indian big (G1) and Patnai pink (G5) from the cluster II and genotypes Taherpuri, Indian medium (G1), Big single bulb (G7), Big double bulb (G8), Small single bulb (G9) and Small double bulb (G10) from the cluster III may be selected as parents for future breeding program.The Agriculturists 2015; 13(1) 26-34

scholarly journals Genetic divergence and genetic gain in bread wheat through selection practices

1970 ◽  
Vol 9 (1) ◽  
pp. 1-4 ◽  
Author(s):  
M Ferdous ◽  
UK Nath ◽  
A Islam
Keyword(s):  
Genetic Diversity ◽  
Disease Resistance ◽  
Genetic Variability ◽  
Plant Breeding ◽  
Bread Wheat ◽  
Genetic Gain ◽  
Genetic Divergence ◽  
Selection Index ◽  
Selection Indices ◽  
Selection Practices

Genetic diversity is essential to meet the diversified goals of plant breeding such as producing cultivars with increased yield, wider adaptation, desirable quality, pest and disease resistance. In this study genetic diversity and selection index of 24 genotypes of bread wheat were evaluated. The performance of 24 wheat genotypes showed that there were significant variations for the characters suggesting the presence of genetic variability among the genotypes. The genotypes were grouped into five clusters viz. I, II, III, IV and V based on Mahalanobis’ D2 statistics. Cluster I and II were the largest group containing six genotypes and the rest three clusters contained four, five and three genotypes respectively. The genotyps belonging to the same group had smaller D2- value than between those belonging to different clusters. Study on selection indices through discriminate function showed that Anza ranked as the best followed by the genotypes Rawal, PBW-373 and Kheri and suggests that these highest scoring genotypes might be recommended for farmers’ cultivation for better yield and it would be expected genetic gain upto 49.77% through selection practices based on the characters studied. Therefore, a crossing programme could be made among the genotypes belonging in cluster I and cluster V will provide maximum heterotic combination, especially for yield of bread wheat. Alternatively, among the studied genotypes Anza could be cultivated for better performance. Keywords: Genetic divergence; Genetic gain; Selection indices; Bread wheatDOI: http://dx.doi.org/10.3329/jbau.v9i1.8736 JBAU 2011; 9(1): 1-4

scholarly journals Assessment of Genetic Diversity of Chickpea Genotypes (Cicer arietinum L.) Using D2 Statistics

2021 ◽  
pp. 51-56
Author(s):  
M. Karthikeyan ◽  
Sharad Pandey ◽  
Gideon Synrem ◽  
K. R. Saravanan
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Cicer Arietinum ◽  
Seed Yield ◽  
Block Design ◽  
Rabi Season ◽  
Cicer Arietinum L ◽  
Quantitative Characters ◽  
Randomized Block Design ◽  
Cluster Distance

An experiment using twenty genotypes of chickpea (Cicer arietinum L.) was conducted during Rabi season of 2019-2020, to find the genetic diversity using D2 statistics. The experiment was laid out in randomized block design with three replications at the experimental field of Himgiri Zee University, Dehradun. The observations was recorded on  nine quantitative characters where five randomly selected plants were taken the average was computed while the traits days to 50 % flowering and days to 100 % maturity was taken from plot basis. Results revealed that the genotypes were grouped into 4 clusters where Cluster-I had fifteen genotypes and cluster II had three genotypes while one genotype each was present in cluster III and IV. The seed yield per plant contributed maximum towards genetic diversity (32.00 %) followed by plant height at maturity (14.00 %) and number of secondary branches (9.00 %). The maximum intra cluster distance was found in cluster II (164.691) indicating that the 15 genotypes including in the cluster II were most divergent. However, maximum inter cluster distance was noticed between cluster I and cluster II (313.247) which could be used in hybridizing program.

scholarly journals D2 statistical analysis of yield contributing traits in maize (Zea mays L.) inbreds

2018 ◽  
Vol 44 (4) ◽  
pp. 629-634
Author(s):  
FMA Haydar ◽  
NK Paul ◽  
MA Khaleque
Keyword(s):  
Genetic Diversity ◽  
Zea Mays ◽  
Statistical Analysis ◽  
Analysis Of Variance ◽  
Genetic Divergence ◽  
Zea Mays L ◽  
Inbred Lines ◽  
Wide Range ◽  
Cluster Distance ◽  
Range Of Variation

Investigation was carried out to determine the genetic divergence in the 25 maize inbred lines. Analysis of variance revealed highly significant differences among all the inbreds. Inbreds were grouped into five clusters, indicating the presence of genetic diversity. The clusters I, IV and V had the highest number of inbreds (6). The maximum inter-cluster distance was observed between clusters I and III (19.279) and the highest intra-cluster distance was recorded in cluster III (0.243) and also wide range of variation was observed in cluster mean performance for the characters studied. Intercrossing among the inbreds belonging to clusters II and III was suggested to develop high yielding inbreds with desirable characters.

scholarly journals Genetic divergence in rapeseed-mustard (Brassica rapa L.)

2013 ◽  
Vol 38 (3) ◽  
pp. 417-423
Author(s):  
MH Khan ◽  
MM Ali ◽  
SR Vhuiyan ◽  
F Mahmud
Keyword(s):  
Principal Component Analysis ◽  
Genetic Variability ◽  
Analysis Of Variance ◽  
Brassica Rapa ◽  
Genetic Divergence ◽  
Principal Component ◽  
Component Analysis ◽  
Days To Maturity ◽  
Cluster Distance

An experiment was conducted at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka, during November 2009 to February 2010 to study the genetic divergences of 32 genotypes of Brassica rapa L. through principal component analysis and Mohalanobis D2 analysis. Analysis of variance indicated that considerable genetic variability were existed among the 32 genotypes. On the basis of D2 analysis, the genotypes were grouped into 6 clusters. Cluster III had the maximum number of 11 genotypes, while the cluster IV and cluster V had only 2 genotypes each. The highest inter-cluster distance was observed between cluster I and V (21.871), while the lowest in the cluster II and III (4.237). The intra cluster distance was the maximum in cluster V (0.469) and minimum in cluster III (0.116). The characters yield per plant, number of siliquae per plant, and days to maturity were found prominent towards the genetic divergence. The genotypes G-15 and G-19 from cluster IV and G-1, G- 3, G-4, G-10, G-18, and G-24 from cluster I were suitable for creating more variability for higher yield per plant through hybridization DOI: http://dx.doi.org/10.3329/bjar.v38i3.16968 Bangladesh J. Agril. Res. 38(3): 417-423, September 2013

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