scholarly journals Genetic Diversity Studies in Seed Cowpea (Vigna unguiculata L. Walp) Genotypes

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.

2016 ◽  
Vol 41 (4) ◽  
pp. 647-656
Author(s):  
N Ara ◽  
M Moniruzzaman ◽  
Ferdousi Begum ◽  
M Moniruzzaman ◽  
R Khatoon

The experiment on papaya (Carica papaya L.) consisting of fourteen genotypes from diversd gene pool was conducted at the Regional Agricultural Research Station, Ishurdi, Pabna during April 2013 to May 2014 to study the nature and magnitude of genetic divergence and eventually identification of suitable genotypes for use in breeding program. Multivariate analysis was subjected to assess the genetic diversity and Mahalanobis’ generalized distance (D2) was used to assess the divergence present among the genotypes. The fourteen genotypes were grouped into four clusters. The cluster IV had the maximum genotypes (5) followed by cluster I having 4 genotypes and cluster II having 3 genotypes. Cluster III had the minimum genotypes (2). The inter-cluster distances were greater than intra-cluster distances in all cases, suggesting wider genetic diversity among the genotypes of different groups. The highest intracluster distance was observed in cluster III and the lowest in cluster II. The maximum inter-cluster distance was estimated between clusters I and IV (11.3212), moderate distance between clusters II and IV (9.961) and clusters III and IV (7.568), and that of the lowest between clusters I and III. Cluster III recorded the highest mean values for fruit length, plant height at last harvest, number of fruits/plant, weight of fruits/plant and fruit yield, while cluster IV exhibited the maximum mean values for pulp thickness, plant height at 1st harvest and the second highest mean values for fruit length, fruit breadth and TSS. Therefore, more emphasis should be given on cluster III for selecting genotypes as parents for crossing with the genotypes of cluster IV which may produce new recombinants with desired traits.Bangladesh J. Agril. Res. 41(4): 647-656, December 2016


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.


2015 ◽  
Vol 49 (5) ◽  
Author(s):  
Radheshyam Sharma ◽  
S. R. Maloo ◽  
Arunabh Joshi ◽  
Sharda Choudhary

Genetic divergence assessed in twenty diverse genotypes of maize (<italic>Zea mays</italic> L.) using D<sup>2</sup> statistics for eleven characters enabled grouping of all the genotypes in five clusters. Test weight, leaf number, harvest index, days to 50 percent flowering and plant height were the major contributors for genetic diversity among the genotypes. Cluster II was the largest contained 6 genotypes followed by cluster III which possessed 5 genotypes. The cluster I, V and IV possessed 4, 3 and 2 genotypes, respectively. Each cluster has different types of genotypes irrespective to their nature of genetic make up belonging to hybrids, composites and land races. The cluster III exhibited maximum intra-cluster distance (30.92), while maximum inter-cluster distance was noted between cluster I and III (91.55).


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.


2016 ◽  
Vol 29 (4) ◽  
pp. 841-849
Author(s):  
ADRIANA QUEIROZ DE ALMEIDA ◽  
SIMONE ALVES SILVA ◽  
VANESSA DE OLIVEIRA ALMEIDA ◽  
DEOCLIDES RICARDO DE SOUZA ◽  
GILMARA DE MELO ARAÚJO

ABSTRACT The knowledge about genetic diversity of jatropha crop is important for genetic conservation resources and breeding of this species. The aim of this study was to evaluate the genetic diversity and performance of jatropha clones through morphological characterization to selection of clonal varieties for biofuels production. The clones were obtained through shoot cuttings from previous selection in a population of half-sibs progenies. The morphoagronomic analyses of clones was carried out at 180 days after transplantation and were evaluated plant height, stem diameter, number of primary branches and number of secondary branches, number of bunches and number of fruits per plant. Evaluating clones performance, significant results were found for the number of secondary branches. About analysis of genetic diversity, the measures of dissimilarity genetic varied from 0.62 to 13.11, this way, the UFRBPR14 and UFRBPR15 clones were more divergent. The Tocher method was efficient to verify formation of four groups. The characteristics that most contributed to the divergence among clones were branches number, height and number of bunches, and, stem diameter had lower contribution. The jatropha clones differed only in the secondary branches number and multivariate analysis showed divergence among the jatropha clones with formation of four groups. Also, branches number, plant height and number of bunches were characteristic that contributed to genetic divergence.


Helia ◽  
2001 ◽  
Vol 24 (34) ◽  
pp. 17-24
Author(s):  
K. Manjula ◽  
H.L. Nadaf ◽  
K. Giriraj

SUMMARYGenetic diversity was assessed in 46 non-oilseed sunflower genotypes for 14 characters by adopting D2 analysis. Oil content and plant height exhibited maximum contributions towards genetic divergence. The genotypes were grouped into 11 clusters. The inter-cluster D2 values ranged from 288.17 to 3972.34. The contribution of oil content towards genetic divergence in the 46 genotypes was confirmed when D2 analysis was performed for seed characteristics such as test weight, volume weight, hull content, kernel recovery, oil and protein content.


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


PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0239122
Author(s):  
Selamawit Ketema ◽  
Bizuayehu Tesfaye ◽  
Gemechu Keneni ◽  
Berhanu Amsalu Fenta ◽  
Ermias Assefa ◽  
...  

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