scholarly journals GENETIC DIVERGENCE IN ASH GOURD (Benincasa hispida Thunb.)

2013 ◽  
Vol 20 (1) ◽  
pp. 19-24 ◽  
Author(s):  
F. Afroze ◽  
M. G. Rasul ◽  
A. K. M. Aminul Islam ◽  
M. A. K. Mian ◽  
T. Hossain
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Male Flower ◽  
Fruit Weight ◽  
Geographical Isolation ◽  
Benincasa Hispida ◽  
Cluster Distance ◽  
Total Divergence ◽  
Different Origins ◽  
Ash Gourd

Genetic divergence among 46 ash gourd genotypes from different origins was investigated to select the parents for hybridization using Mahalanobis D2 statistics. Though the genotypes grouped into seven clusters, the pattern of distribution of the genotypes into different clusters were random indicating that the geographical isolation was not always related to genetic diversity. Characters like fruit weight, fruits per plant, days to first male flower and nodes for first male flower contributed considerably to the total divergence. Maximum inter-cluster distance between cluster III and IV indicating wide genetic divergence between the genotypes of these two clusters (cluster III and IV followed by cluster IV and VII). However, the intra-cluster distances were smaller than inter-cluster distances. Thus, crossing between the genotypes of these two groups (cluster III and IV) would produce high heterotic progeny and may produce new recombinants with desired traits.DOI: http://dx.doi.org/10.3329/bjpbg.v20i1.17014

scholarly journals Genetic divergence analysis in eggplant (Solanum melongena L.)

1970 ◽  
Vol 34 (4) ◽  
pp. 705-712
Author(s):  
AKM Quamruzzaman ◽  
MA Rashid ◽  
S Ahmad ◽  
M Moniruzzaman
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Leaf Blade ◽  
Solanum Melongena ◽  
Fruit Weight ◽  
Geographical Isolation ◽  
Pedicel Length ◽  
Cluster Distance ◽  
Geographical Locations ◽  
Number Of Branches

Genetic divergence among 19 eggplant genotypes was estimated using Mahalanobis's D2 statistic. Altogether five clusters were formed. Cluster I contained the highest number of genotypes (7) and cluster IV and V contained the lowest (2). The pattern of distribution of genotypes from different geographical locations into five clusters was random, demonstrating that geographical isolation may not be the only factor causing genetic diversity. The highest intra-cluster distance was observed for cluster V (1.067) and the lowest for cluster III (0.916). The highest inter-cluster distance was observed between cluster IV and V (10.748). Cluster V recorded the highest mean for plant height at last harvest (cm), leaf blade length (cm), leaf blade diameter (cm), leaf pedicel length (cm), fruit pedicel length (cm), prickle on calyx. Whereas, number of branches per plant, fruit diametre (cm), individual fruit weight (g), fruit yield (t/ha) and prickle on fruit pedicel were in cluster II with the highest means. Therefore, more emphasis should be given on cluster V for selecting genotypes as parents for crossing with the genotypes of cluster II which may produce new recombinants with desired traits. Key Words: Genetic diversit; eggplant (Solanum melongena L.); cluster analysis. DOI: 10.3329/bjar.v34i4.5845Bangladesh J. Agril. Res. 34(4) : 705-712, December 2009

scholarly journals Genetic divergence of indigenous pummelo genotypes

2016 ◽  
Vol 3 (1) ◽  
pp. 37-43
Author(s):  
Md Sarowar Alam ◽  
Md Sultan Mia ◽  
Md Salim ◽  
Jubair Al Rashid ◽  
Md Saidur Rahman
Keyword(s):  
Genetic Divergence ◽  
Agricultural Research ◽  
Principal Component ◽  
Fruit Weight ◽  
Research Station ◽  
Mean Values ◽  
Cluster Distance ◽  
Minimum Number ◽  
Total Divergence ◽  
And Performance

The genetic divergence was studied in33pummelogenotypes using D2 statistics and principal component analysis at Regional Agricultural Research Station, BARI, Akbarpur, Moulvibazar during 2012 to 2014. The genotypes were grouped into 5 clusters and the maximum number of genotypes was included in cluster IV and V and the minimum number in cluster I. The inter cluster distance in all 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 I and II followed by cluster II and V and the lowest between III and IV. The highest intra- cluster distance was observed for the cluster II and the lowest for the cluster III. For cluster II, the highest mean values for plant height (6.13m), individual fruit weight (1141.67g), fruit length (13.03 cm) and breadth (13.15 cm), number of segments per fruit (14.41), number and weight of seeds per fruit (123.67 and 50.41g), yield per plant (50.94 kg) were observed. The first axis largely accounted for the variation among the pummelo accessions (26.16%) followed by second axis (18.75%). The first 8 axes accounted 90.56 % of the total variation. The characters individual fruit weight (g) and weight of seeds per fruit (g) showing positive value in both the vectors contributed maximum towards divergence. Considering magnitude of genetic distance, contribution of different traits toward the total divergence, magnitude of cluster means for different traits and performance the genotypes of cluster I, II, and IV may be considered as parents for future hybridization program.Res. Agric., Livest. Fish.3(1): 37-43, April 2016

scholarly journals Genetic diversity in eggplant genotypes for heat tolerance

2015 ◽  
Vol 12 (2) ◽  
pp. 25-39 ◽  
Author(s):  
MS Uddin ◽  
MM Rahman ◽  
MM Hossain ◽  
MAK Mian
Keyword(s):  
Genetic Diversity ◽  
Heat Tolerance ◽  
Fruit Size ◽  
Diversity Indices ◽  
Morphological Characters ◽  
Fruit Weight ◽  
Cluster Distance ◽  
Total Divergence ◽  
Vegetative Characters ◽  
High Diversity

Genetic divergence in eighteen eggplant genotypes was studied at Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Salna, Gazipur, Bangladesh during February 2007 to December 2008 using multivariate analysis. Eggplant genotypes were evaluated for different quantitative characters. Among the genotypes wide variations were observed for plant, flower and fruit size, shape and color. Out of 18 genotypes only 8 were found to be suitable for summer and summer rainy season cultivation as heat tolerance. The 18 genotypes were grouped into four distinct clusters. Cluster I comprised of 2 genotypes, cluster II had 3, cluster III had 3 and cluster IV had 10 genotypes. Clustering pattern of the genotypes was not correlated with their geographical distribution. The highest inter cluster distance was between cluster I and IV (764.67) while, it was the lowest between cluster II and III (213.30). The highest and lowest intra cluster distance was displayed in cluster II (94.14) and cluster I (28.79) respectively. Yield per plant, number of fruits per plant, plant canopy, fruit weight, fruit length and number of harvest had the highest contribution towards total divergence. Moderate to high Shannon-Weaver Diversity Indices (SWDI) was found among the genotypes for most of the studied qualitative characters. Quantitative vegetative characters had high diversity among the genotypes, while it was moderate to high diversity for both flower and fruit characters. Eight eggplant genotypes were selected as heat tolerance based on genetic diversity of morphological characters in eggplant. DOI: http://dx.doi.org/10.3329/sja.v12i2.21914 SAARC J. Agri., 12(2): 25-39 (2014)

scholarly journals Genetic divergence analysis in bottle gourd [Lagenaria siceraria (Mol.) Standl.]

2017 ◽  
Vol 9 (4) ◽  
pp. 1949-1953
Author(s):  
C. P. Chetariya ◽  
M. A. Vaddoria
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Male Flower ◽  
Fruit Weight ◽  
Bottle Gourd ◽  
College Of Agriculture ◽  
Geographic Diversity ◽  
Male Flowers ◽  
Clustering Pattern ◽  
Male To Female

The study was conducted during summer 2014-15 at the Instructional Farm, College of Agriculture, Junagadh Agricultural University, Junagadh to assess the genetic diversity among 50 genotypes of bottle gourd (Ligenaria siceraria L.). The genetic diversity analysis revealed the formation of 13 clusters suggesting the presence of wide genetic diversity. The clustering pattern indicated that geographic diversity was not associated with genetic diversity. The analysis of per cent contribution of various characters towards the expression of total genetic divergence indicated that number of fruits per vine (22.45%) followed by number of primary branches per vine (13.80%), average fruit weight (11.51%), vine length (11.18%), fruit yield per vine (10.61%), number of male flowers (7.84%), fruit length (6.45%), ratio of male to female flowers (4.82%), days to first picking (4.49%) and days to opening of first male flower (3.84%) contributed maximum towards total genetic divergence. Based on the maximum genetic distance. It is advisable to attempt crossing of the genotypes from cluster XII(GP-14) with the genotypes of cluster IV (GP-25) and XI (GP-53), which may lead to the generation of broad spectrum of favourable genetic variability for yield improvement in bottle gourd.

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 divergence in commercial cucumber (Cucumis sativus L.) genotypes

2018 ◽  
Vol 44 (2) ◽  
pp. 201-207
Author(s):  
Rokib Hasan ◽  
Mohammed Kamal Hossain ◽  
Nazmul Alam ◽  
Abul Bashar ◽  
Saidul Islam ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Path Analysis ◽  
Genetic Divergence ◽  
Fruit Weight ◽  
Leaf Length ◽  
Cucumis Sativus L ◽  
Cluster Distance ◽  
Effect On Yield ◽  
Positive Direct ◽  
Fruit Diameter

Genetic diversity in commercial cucumber genotypes was estimated based on 13 characters. Path analysis revealed that fruits/plant (0.701) and fruit weight (0.379) had maximum positive direct effect on yield. Seven cucumber genotypes were grouped into three different clusters. The highest inter-cluster distance (4.078) was observed between cluster I and II whereas lowest inter-cluster distance (1.011) was observed between the clusters I and III. Cluster II showed highest mean for length of main vine, nodes/plant, primary branches/plant, days to 1st male flowering, length of internodes/plant, fruits/plant and yield/plant whereas cluster III produced highest mean for leaf length, leaf breadth, fruit length, fruit diameter and fruit weight. Cluster II and III contributed 53.85 and 38.46%, respectively towards divergence.

scholarly journals Study on genetic diversity of pointed gourd using morphological characters

1970 ◽  
Vol 33 (4) ◽  
pp. 607-616 ◽  
Author(s):  
ASMR Khan ◽  
MG Rabbani ◽  
MA Siddique ◽  
MI Hossain
Keyword(s):  
Genetic Diversity ◽  
Agricultural Research ◽  
Morphological Characters ◽  
Mean Value ◽  
Fruit Weight ◽  
Research Station ◽  
Cluster Distance ◽  
Total Divergence ◽  
Pointed Gourd ◽  
Five Axes

The genetic diversity among 64 pointed gourd genotypes were assessed through multivariate analysis from an experiment conducted in Regional Agricultural Research Station, lshurdi, Pabna during the growing season 2002-2003. The genotypes were grouped into twelve clusters. The cluster V consisted of highest number of genotypes and it was nine, the cluster VI and cluster VIII contained the lowest number of genotypes and it was two in each. 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 Jessore were distributed in different clusters. The highest inter genotype distance as 366.3 observed between the genotypes P0022 and P0007 and the lowest 2.6 as observed between the genotypes P0043 and P0044. Cluster V had the highest cluster mean value for internode length, fruit weight per plant and yield the highest inter-cluster distance was noticed between cluster III and II (45.71) and the lowest between cluster VII and VI (3.33). ‘The highest intra cluster distance was computed for cluster III and that was lowest for the cluster II. The first five axes accounted for 77.65% of the total variation among the 13 characters describing 64 pointed gourd genotypes. Fruit weight, seeds per fruit and fruit weight per plant contributed maximum to the total divergence. The results obtained by D2 analysis were confirmed by canonical analysis. Key Words: Diversity pointed gourd, morphological characters. doi: 10.3329/bjar.v33i4.2304 Bangladesh J. Agril. Res. 33(4) : 607-616, December 2008

scholarly journals Studies on Genetic Divergence for Yield and Quality Traits in Cucumber (Cucumis sativus L.)

2020 ◽  
pp. 136-143
Author(s):  
Om Prakash Kumawat ◽  
Udit Kumar ◽  
Satish Kumar Singh ◽  
Sooraj Maurya ◽  
Sooraj Maurya ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Shelf Life ◽  
Genetic Divergence ◽  
Female Flower ◽  
Fruit Weight ◽  
Cucumis Sativus L ◽  
Node Number ◽  
Cluster Distance ◽  
Clustering Pattern ◽  
Number Of Seeds

Genetic divergence analysis, using Mahalanobis D2 statistics, was carried out in twenty one cucumber genotypes including one check for fourteen characters. All the characters under study showed considerable divergence and the genotypes were grouped into four clusters. The clustering pattern had no parallelism between genetic diversity and geographical distribution, suggesting that the selection of parental genotypes for hybridization will be more appropriate based on genetic diversity. Cluster III contained the maximum (5) number of genotypes, whereas remaining all clusters I, II and IV contained similar (4) genotypes. The Intra-cluster distance was maximum (306.685) in cluster III whereas, it was minimum (163.11) in cluster II. Maximum average inter-cluster distance (1439.432) was recorded between cluster IV and cluster V, suggesting the greater chances of getting superior hybrids in F1 or transgressive segregants in subsequent generations. Genotypes in cluster IV were superior in node number of first female flower, days to first flowering, shelf-life, TSS, fruit length, fruit weight and fruit yield per plant. Cluster V had superiority in terms of vine length and number of seeds per fruit. Fruit weight, TSS, number of seeds per fruit, node number of first female flower, shelf-life, days to first harvest and days to first flowering contributed towards genetic divergence.

scholarly journals Assessment of Genetic Diversity in Morphological Traits of Mango Genotypes Using D2 Statistics

2021 ◽  
pp. 31-42
Author(s):  
Swosti S. Das ◽  
K. Kishore ◽  
D. Lenka ◽  
D. K. Dash ◽  
K. C. Samal ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Morphological Traits ◽  
Fruit Weight ◽  
Tropical Region ◽  
Wide Range ◽  
Cluster Distance ◽  
Breeding Programmes ◽  
Clustering Pattern ◽  
Hybridization Programme

An experiment was conducted during 2018-2020 to study the genetic diversity in 24 morphological traits using D2 statistics in mango genotypes of eastern tropical region of India. Present study reveals that the clustering pattern based on D2 statistics grouped 40 genotypes of mango into 7 clusters, out of which cluster VI (7397.45) shows the highest intracluster value followed by cluster III (5346.99) and cluster V (4130.4), indicating considerable genetic divergence among the accessions of this cluster. While maximum inter- cluster distance was observed between the cluster VI and VII (300180) followed by cluster II and VI (289267.7) and cluster I and VI (214380.5) indicated that the accessions belonging to these groups were genetically most diverse and can be used as a parent in hybridization programme. Wide range of genetic diversity observed among cluster VI and cluster VII, can either be utilized for breeding programmes for genetic improvement in mango or directly adopted as a variety. Fruit yield exhibited significant contribution towards the genetic divergence (60.77%) followed by fruit weight (26.79%), stone percentage (4.74%), peel percentage (2.31%) and pulp percentage (2.05%).

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