scholarly journals Genetic Diversity Studies in Mungbean (Vigna radiata L. Wilczek) Germplasm

Author(s):  
Reshmi Jahan Mohammed L. Prasanthi ◽  
Lakshminarayana R. Vemireddy

An investigation was carried out to estimate the genetic divergence for twenty characters in 50 genotypes of greengram [Vigna radiata (L.) Wilczek] using Mahalanobis's D2 statistic and total of eight clusters were formed. The highest number of genotypes were found in cluster II containing sixteen genotypes followed by cluster I with thirteen genotypes, cluster IV with ten genotypes, cluster VI with five genotypes, cluster VIII with three genotypes and clusters III, V and VII with only one genotype. Highest intra-cluster distance was observed for cluster IV (87.54) and lowest intra cluster distance was observed for clusters III, V and VII. The highest inter-cluster distance was observed between cluster IV and VIII (285.11),while the lowest inter cluster distance was observed between cluster VI and VII (251.29). Among the characters studied, phenols content contributed the maximum (32.57 %) towards the diversity. The genotypes present in the clusters V (COGG-13-19) and VII (LGG-544) showed high seed yield performance so, cross obtained between these genotypes will give better performance for yield. The genotypes in the cluster VI (GGG-1, GGG-1-1, IPM-2-14, WGG-42, EC-396117) and cluster III (AGG-35) exhibited resistance to YMV. Hence, the crosses among cluster V, VII, VI and III would give high seed yield along with YMV disease resistance.

Author(s):  
Ravouri Priyanka ◽  
Gaibriyal M. Lal

The present study entitled “Genetic diversity Studies in Field Pea Germplasm (Pisum sativum var. arvense L.)” was carried out to estimate the genetic variability for yield and yield contributing traits, study the relationship between yield and yield attributing traits on seed yield and its component traits and to assess direct and indirect of yield attributing traits on seed yield. The experimental material was consisting of 41 Field Pea genotypes. The experiment was laid out in Randomized complete block design with three replications. The observations were recorded on five randomly selected plants from each treatment and replication for 12 different quantitative traits Days to 50% flowering, Days to 50% pod setting, Plant height (cm), Number of branches per plant, Number of Pods per plant, Number of seeds per pod, Pod length (cm) days to maturity, biological yield (gm), Harvest Index, Seed Index (gm), Seed yield per plant (gm). Based on the mean performance, high seed yield per plant were identified for the genotype zimndal (11.59) followed by Matar-23 (10.76). The higher phenotypic and genotypic coefficient of variations were observed for number of primary branches per plant (33.92 & 24.56), seed yield per plant (29.84 & 25.67) and number of seeds per pod (28.61 & 22.64). High heritability coupled with high genetic advance as percent of mean was observed for plant height (84.43 & 40.55), days to 50% flowering (77.30 & 34.92) and pod length (71.55 & 32.55). Based on Mahalanobis D2 values 41 genotypes grouped into 8 clusters. Among 8 clusters cluster I had more number of genotypes (25) followed by cluster II (8 genotypes), cluster VIII (3 genotypes). The maximum intra cluster distance was observed in cluster VIII (10.26) followed by cluster II (8.59) and cluster I (7.72). The highest inter cluster distance observed between cluster I and cluster VI (24.07) followed by cluster I and cluster IV (22.25), cluster I and cluster III (21.41). Therefore, genotypes present in these clusters may be used as parents to produce the transgressive segregants. The cluster IV (12.57) had significant and higher cluster mean for seed yield per plant. The trait number of primary branches per plant (25.12%) had maximum contribution towards to genetic divergence followed by harvest index (21.95%), biological yield per plant (19.39%), seed yield per plant (19.15%).


Author(s):  
S. Umesh Kanna ◽  
N. Krishnakumar ◽  
K. Md. Mohideen Abdul Kather Jailani

Aims: To estimate the genetic diversity studies among the biometric attributes of 30 progenies in Ailanthus excelsa Roxb. Place and Duration of Study: The study has conducted at Forest College and Research Institute, TNAU, Mettupalayam during 2015-2018. Methodology: The D2 statistics was adopted for the estimation of genetic divergence. Using D2 statistical results, the clustering of progenies was done. The progenies were grouped into different clusters using ‘GENERES’ statistical package on the basis of D2 values according to Tocher’s method as suggested by Rao. Results: The 30 progeny of Ailanthus excelsa has grouped into nine clusters and among the nine clusters, the cluster IV has ten progenies. The maximum intra cluster distance was exhibited by the cluster VIII followed by cluster IV. The maximum inter cluster distance was in cluster III which indicated the presence of wider genetic distance between Ailanthus excelsa progenies. Among the growth attributes, volume index contributed maximum percentage towards genetic divergence. Conclusion: The results of 30 progeny of Ailanthus excels showed the presence of wider genetic distance between Ailanthus excelsa progenies.


2009 ◽  
Vol 7 (1) ◽  
pp. 84-87 ◽  
Author(s):  
N. Sunil ◽  
N. Sivaraj ◽  
S. R. Pandravada ◽  
V. Kamala ◽  
P. Raghuram Reddy ◽  
...  

Nine characters contributing to seed yield were measured on 20 accessions of horse gram (Macrotyloma uniflorum (Lam.) Verd), and subjected to genetic divergence analysis using Mahalanobis statistic and mapping using DIVA-GIS. The accessions were collected from two eco-geographical regions of Andhra Pradesh (India) – North Coastal and Rayalaseema. Based on D2 values the genotypes were grouped into five clusters. Genetic diversity was not related to eco-geographical distribution. The greatest inter-cluster distance separated clusters II and V, followed by clusters IV, and V, III and IV. Entries in clusters V and II appear suitable as parents for horse gram improvement. The Rayalaseema region is the source of useful variation for days to flowering, maturity and yield.


Author(s):  
A. R. Patil G. C. Shinde ◽  
V. R. Awari S. I. Tambe

Thirty three seed cow genotypes (Vigna unguiculata L. WALP) collected from different geographical region were assessed for their genetic divergence based on ten characters during kharif-2020 at Post Graduate Farm, MPKV, Rahuri. The genotypes were grouped into six clusters which indicating high genetic diversity among them. It indicated that genetic diversity and geographic diversity are not related. The present study revealed that days to 50% flowering contributed maximum (34.09%) for divergence followed by plant height (32.58%), number of pods per plant (10.98%) and test weight (8.71%). Based on inter-cluster distance, intra-cluster distance and per se performance the genotypes viz., CP-04, CP-10, CP-10R, PCP-1411, CP-37, CP-10R,CP-39 and Phule Sonali are suggested to utilize for future breeding programme.


2012 ◽  
Vol 37 (1) ◽  
pp. 129-136
Author(s):  
MA Syed ◽  
MR Islam ◽  
MS Hossain ◽  
MM Alam ◽  
MN Amin

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  


Author(s):  
Renuka Shivwanshi ◽  
Anita Babbar

A total of 434 germplasm lines of chickpea were assessed for 13 quantitative traits during rabi 2015-16 at JNKVV, Jabalpur. Genotypes were grouped into fourteen clusters. Clusters II and cluster XIV and cluster XII and cluster XIV, had maximum inter cluster distance. The characters viz.,effective pods per plant followed by biological yield per plant, plant height and 100-seed weight were main contribution to total divergence. Cluster XIV and cluster XIII had highest mean values for maximum number of characters. Based on the result IC 83812, EC 198729, EC 490027, IC 53245, IC 83827and IC 83889 are recommended for hybridization, as these genotypes showed good per se performance for seed yield and belong to the highly diverse clusters.


Author(s):  
MY Kabir ◽  
ASMMR Khan ◽  
MS Hassain

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


2021 ◽  
Vol 58 (4) ◽  
pp. 487-495
Author(s):  
K Amudha ◽  
G Ariharasutharsan

The present investigation was carried out to explore the extent of genetic divergence in 95 rice germplasm accessions for twelve characters during kharif, 2018. In D2 analysis, the 95 genotypes were grouped into fifteen clusters. The clustering pattern indicated that there was no parallelism between genetic diversity and geographical origin as the genotypes from same origin were included in different clusters and vice versa. The highest intra cluster distance was registered in cluster V (215.183) followed by cluster IX (209.831), cluster VIII (204.057) and cluster XIV (202.623).The maximum inter cluster distance was observed between cluster II and cluster III (991.049) followed by cluster II and cluster X (974.960), cluster III and cluster XI (963.826), cluster II and XII (962.013), cluster X and cluster XI (932.469) and cluster XI and cluster XII (919.151). Genetically distant parents from those clusters could be able to produce higher heterosis in progenies on hybridization. Grain yield per plant, 100 grain weight and days to 50% flowering were the major contributors towards the total genetic divergence among the genotypes studied. Thus selection could be made based on grain yield per plant, hundred grain weight and days to 50%flowering for the progenies identified.


Author(s):  
M. Sen ◽  
D. K. De

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.


2012 ◽  
Vol 25 (2) ◽  
pp. 15-23
Author(s):  
A. A. Khan ◽  
M. Mahbubur Rahman ◽  
M. F. Amin ◽  
M. K. Alam ◽  
M. A. Alam

The present investigation was undertaken with the objective to identify the extent of genetic diversity for traits related to heat tolerance among 25 currently available spring wheat genotypes under late sowing condition during the cropping season 2009-2010. All genotypes were distributed into five clusters showing considerable genetic divergence for most of the heat tolerant traits under study. The role of grain filling rate and biomass production in both the vectors had the highest contribution to genetic divergence. The positive values of both the vectors for flag leaf senescence, ground coverage, spikes number, 1000-grain weight, grain yield (g m-2) and harvest index indicating high contribution of these traits towards the divergence among 25 genotypes of wheat. Three pair of clusters, viz. I & II, I & III and I & V can be considered for obtaining more heterotic progeny as the genetic distance between these clusters were larger. Considering yield performances, cluster distance and cluster mean the genotype G-22 from cluster I and genotype G-14 from cluster IV may be considered better parents for further breeding of heat tolerance as they showed maximum divergence and high degree of tolerance to heat under late sowing condition. Moreover, the genotype G-22 could be exploited for direct release as a heat tolerant variety after testing under wider range of environments.DOI: http://dx.doi.org/10.3329/bjpbg.v25i2.18663


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