scholarly journals Multivariate Analysis in Lentil (Lens culinaris L.)

1970 ◽  
Vol 23 (1) ◽  
pp. 9-12 ◽  
Author(s):  
AA Jewel ◽  
AK Chowdhury ◽  
AKMM Alam ◽  
MA Latif ◽  
MM Hassan
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Seed Weight ◽  
Lens Culinaris ◽  
Principal Component ◽  
Plot Yield ◽  
Days To Maturity ◽  
Cluster Distance ◽  
100 Seed Weight

Genetic divergence among 22 genotypes of lentil was estimated using D2 and principal component analysis. The genotypes under study fell into four clusters. The intra-cluster value was the maximum in cluster I and the minimum in cluster II. The inter-cluster distance was larger than the intra-cluster distance in all the cases suggesting the wider genetic diversity among the genotypes of different groups. The inter-cluster value indicated maximum distance between cluster I and II than cluster III and IV. Thus the genetically diverged genotypes of the clusters could be used as parent in hybridization program to get desirable genotypes. Cluster I had the highest mean for days to maturity, plant height, pods/plant and per plot yield while cluster II and III had the highest days to first flowering and 100 seed weight, respectively. Genotypes with these characters in respective groups would, therefore, offer a good scope of improvement of lentil through selection.   Key words: Lentil; cluster analysis; divergence; hybridization DOI: http://dx.doi.org/10.3329/bjpbg.v23i1.9312 BJPBG 2010; 23(1): 9-12

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 diversity analysis and identification of promising lines for hybridization in Chickpea (Cicer arietinum L.)

2018 ◽  
Vol 5 (04) ◽  
Author(s):  
ANAND KUMAR ◽  
SADIA PERWEEN ◽  
MANOJ KUMAR ◽  
SANJEEV KUMAR ◽  
SATYENDRA . ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Seed Weight ◽  
Mean Value ◽  
Yield Potential ◽  
Quantitative Characters ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Total Divergence ◽  
100 Seed Weight

Forty genotypes of chickpea were evaluated for assessing genetic divergence for different quantitative characters for improving yield potential of chickpea by using Mahalanobis D2 statistics. The genotypes were grouped into seven clusters suggesting considerable amount of genetic diversity in the material. The intra-cluster D2 value ranged from 0.00 to 9.06 while, intercluster D2 value ranged from 4.07 to 55.71. The maximum intra cluster distance was exhibited by cluster V followed by cluster II and cluster I. Cluster III had mono- genotype and emerged with contained highest cluster mean value grain yield per plot. Cluster II has highest mean value for number of pods per plant and lowest mean value for days to 50% flowering, days to maturity and plant height. Maximum contribution toward the total divergence was exhibited by 100-seed weight followed by number of pods per plant and minimum by days to maturity. Cluster IV and VI showing maximum inter cluster distance and crossing of genotypes Sabour chana-1 (BRC-1), GCP 105, PBC 503, DC 16-2, NBeG 776, RVSSG 42, G2016-43, GL 14042, IPC 2013-21, GNG 2338, GNG 2375 and KWR 108 from cluster VI suggested for improving grain yield per plot, 100-seed weight and earliness in flowering and ultimately enhancing the yield and chances of getting better recombinants in segregating generations.

scholarly journals Principal Component Analysis in Desi Chickpea (Cicer arietinum L.) under Normal Sown Condition of Bihar

2020 ◽  
pp. 75-80
Author(s):  
Kumari Rajani ◽  
Anand Kumar ◽  
Ravi Ranjan Kumar ◽  
Sadia Perween ◽  
Sanjay Kumar ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Total Variation ◽  
Seed Yield ◽  
Seed Weight ◽  
Principal Component ◽  
Cicer Arietinum L ◽  
The World ◽  
Days To Maturity ◽  
100 Seed Weight ◽  
Selection Of

Chickpea (Cicer arietinum L.) is the second most important food legume crop after common bean (Phaseolus vulgaris L.). It is one of the most important rabi pulse crop in India and contributes to 20% of the total pulse production in the world. India ranks first in chickpea production in the world followed by Australia, Myanmar and Pakistan. It is one of the major pulse crops in Bihar. The present investigation was undertaken using forty genotypes of desi chickpea sown in a randomized block design with three replications at the Pulse research model Bhitti farm of Bihar Agricultural University, Sabour (Bhagalpur) during Rabi, 2016-17 to determine the contribution of six morphological traits to the total variability in desi chickpea using Principal component analysis. In the present investigation PCA was performed for six quantitative traits of chickpea. Out of six, only 2PCs exhibited more than 1.0 Eigen value and showed about 79.86% variability. Therefore, these 2 PCs were given due important for the further explanation. The PC1 showed 28.96% variability among traits, while PC II, PC III and PC IV exhibited 21.93%, 16.35% and 13.87% variability respectively.PC1 contributed 28.96% of the total variation and correlated with days to 50% flowering, days to maturity and 100-seed weight while PC2 explained an additional 21.93% of the total variation and dominated by plant height, grain yield per plot, days to maturity, days to 50% flowering and number of pods per plant. Since, a total of 50.91% of the total variation was contributed by PC1 and PC2, therefore, these two principal components can be allowed for simultaneous selection of yield contributing traits in desi chickpea. Genotype commonly found in more PC, were KWR108, JG2016-44, Sabour chana-1, IPC 2013-21, HI12-63, AKG1303, PG214J and RKG13-380. Similar type of genotypes on a common principal component permitting to designate them as seed yield factors. These genotypes may further be utilized in breeding programmes for improving seed yield and these genotypes can be considered an ideotype breeding material for selection of traits viz. more total number of seed per plant and 100-seed weight further utilization in precise breeding programme.

Stability by additive main multiplicative interaction (AMMI) model and genetic diversity studies in micro and macro-sperma Lentil (Lens culinaris L.) in mid hills of Jammu and Kashmir, India

2016 ◽  
Author(s):  
Sanjeev Kumar ◽  
Praveen Singh
Keyword(s):  
Genetic Diversity ◽  
Lens Culinaris ◽  
Mean Value ◽  
Jammu And Kashmir ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Ammi Model ◽  
Diversity Studies ◽  
Pod Length ◽  
100 Seed Weight

The present investigation was aimed at ascertaining the nature and magnitude of genetic diversity among a set of 12 lentil genotypes through Mahalanobis D2 Method. The genotypes under study fall into four clusters. The cluster-I contained the highest number of genotypes (05) followed by cluster-III (03) and Cluster-II and IV each contained the lowest (02). Cluster-II produced the highest mean value for days to maturity and cluster-I exhibited minimum mean value for pod length (0.64). The inter-cluster distances were much higher than the intra-cluster distances. Members of cluster -III and IV were highly diverse from each other as these clusters showed maximum inter-cluster distance. Cluster-IV exhibited the highest intra-cluster distance while the lowest distance was observed in cluster-I. The highest inter-cluster distance was observed between cluster-III and IV while the lowest was between cluster-I and III. The trait pod length (33.33%) contributed maximum for genetic diversity followed by seed yield /plant (27.27%), 100 seed weight (21.21%) and days to maturity (10.61%). Therefore these characters contributed maximum for getting the genetic diversity.

Genetic Diversity Assessment in Dolichos Bean (Lablab purpureus L.) Based on Principal Component Analysis and Single Linkage Cluster Analysis

2021 ◽  
Author(s):  
S.R. Singh ◽  
S. Rajan ◽  
Dinesh Kumar ◽  
V.K. Soni
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Single Linkage ◽  
Pod Yield ◽  
Diversity Assessment ◽  
Single Linkage Cluster ◽  
Linkage Cluster

Background: Dolichos bean occupies a unique position among the legume vegetables of Indian origin for its high nutritive value and wider climatic adaptability. Despite its wide genetic diversity, no much effort has been undertaken towards genetic improvement of this vegetable crop. Knowledge on genetic variability is an essential pre-requisite as hybrid between two diverse parental lines generates broad spectrum of variability in segregating population. The current study aims to assess the genetic diversity in dolichos genotypes to make an effective selection for yield improvement.Methods: Twenty genotypes collected from different regions were evaluated during year 2016-17 and 2017-18. Data on twelve quantitative traits was analysed using principal component analysis and single linkage cluster analysis for estimation of genetic diversity.Result: Principal component analysis revealed that first five principal components possessed Eigen value greater than 1, cumulatively contributed greater than 82.53% of total variability. The characters positively contributing towards PC-I to PC-V may be considered for dolichos improvement programme as they are major traits involved in genetic variation of pod yield. All genotypes were grouped into three clusters showing non parallelism between geographic and genetic diversity. Cluster-I was best for earliness and number of cluster/plant. Cluster-II for vine length, per cent fruit set, pod length, pod width, pod weight and number of seed /pod, cluster III for number of pods/cluster and pod yield /plant. Selection of parent genotypes from divergent cluster and component having more than one positive trait of interest for hybridization is likely to give better progenies for development of high yielding varieties in Dolichos bean.

↵Genetic Diversity and Principal Component Analysis in Mungbean [Vigna radiata (L.) Wilczek] under Rainfed Condition

2021 ◽  
Author(s):  
Deepak Gupta ◽  
Suresh Muralia ◽  
N.K. Gupta ◽  
Sunita Gupta ◽  
M.L. Jakhar ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Seed Yield ◽  
Agricultural Research ◽  
Principal Component ◽  
Component Analysis ◽  
Grain Legume ◽  
Research Station ◽  
Rainfed Condition

Background: Mungbean is a short duration grain legume widely grown in south and Southeast Asia. The extent of variability through Principal Component Analysis (PCA) and cluster analysis in promising mungbean genotypes should be known for possible yield improvement. A study was undertaken to work out the extent of variability among twenty four mungbean genotypes through cluster analysis and Principal Component Analysis (PCA). Methods: The experiment was laid out in a randomized block design with three replications during kharif 2018 and 2019 at the experimental field of Agricultural Research Station, Navgaon (Alwar) under rainfed condition. Result: Principal component analysis revealed that the first three main PCAs amounted 78.80% of the total variation among genotypes for different traits. Out of total principal components, PC1 accounts for maximum variability in the data with respect to succeeding components. Number of branches per plant (28.62%), number of clusters per plant (23.55%) and seed yield (15.58%) showed maximum per cent contribution towards total genetic divergence on pooled basis. Cluster analysis showed that genotypes fall into seven different clusters and their inter and intra cluster distance showed genetic diversity between different genotypes. The maximum number of genotypes i.e., 8 was found in cluster II followed by cluster III comprising of 6 genotypes. Genotypes RMG-1138 and IPM-02-03 representing the mono genotypic cluster signifies that it can be the most diverse variety and it would be the appropriate genotype for hybridization with ones present in other clusters to tailor the agriculturally important traits and ultimately to boost the seed yield in mungbean under rainfed conditions.

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  

Genetic Divergence Analysis in Mungbean (Vigna radiata L. Wilczek)

2019 ◽  
Vol 4 (01) ◽  
pp. 106-109
Author(s):  
Amit Tomar ◽  
D. K. Upadhyay
Keyword(s):  
Seed Weight ◽  
Block Design ◽  
Number Of Clusters ◽  
Randomized Block Design ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Farm Crop ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Seeds

An experiment involving 45 genotypes/strains of mungbean was conducted during kharif 2018 at University Farm (Crop Cafeteria) of Rani Lakshmi Bai Central Agricultural University (RLBCAU), Jhansi in a Randomized Block Design with three replications. Data were recorded and analyzed for 10 characters viz.; days to 50% flowering, days to maturity, plant height (cm), number of primary branches per plant, number of clusters per plant, number of pods per plant, pod length (cm), number of seeds per pod, 100-seed weight (g) and grain yield per plant (g). All the forty five genotypes were grouped into seven different clusters using D2 statistics. Cluster-I, II, III, IV, V, VI and VII had 8, 5, 4, 5, 13, 2 and 8 genotypes, respectively. The greatest inter cluster distance (297.39) was between cluster-II and cluster-V.

scholarly journals Genetic divergence in mung bean

2017 ◽  
Author(s):  
M. Sen ◽  
D. K. De
Keyword(s):  
Genetic Diversity ◽  
Seed Yield ◽  
Mung Bean ◽  
Seed Weight ◽  
Yield Traits ◽  
Cluster Distance ◽  
Percent Contribution ◽  
Statistical Distance ◽  
Hybridization Programme ◽  
100 Seed Weight

The present study was undertaken to provide information on the nature and magnitude of genetic diversity among 30 mung bean genotypes for yield traits by using Mahalanobis’s D2 statistics. Thirty genotypes could be grouped in 6 clusters, cluster VI showed maximum intra-cluster distance while the highest inter-cluster distance was observed between cluster III and VI. Cluster II recorded highest means for seeds per pod, 100 seed weight, seed yield per plant and shelling %. The percent contribution towards genetic diversity was highest for shelling percentage (17.70) followed by seed yield per plant (16.55) and number of clusters per plant (14.71). From the divergence analysis, it may be concluded that the genotypes belonging to different clusters separated by high estimated statistical distance may be used in the hybridization programme for developing high yielding mung bean varieties. Five genotypes viz., PDM-11, TARM-2, TM-98-50, PDM 54 and Basanti could be identified as most useful in the future breeding programme.

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