scholarly journals Assessment of Genetic Diversity in Sesame (Sesamum indicum L.) Based on Agro-Morphological Traits

2020 ◽  
pp. 100-107
Author(s):  
Tushar Arun Mohanty ◽  
Umesh Kumar Singh ◽  
Satish Kumar Singh ◽  
Digvijay Singh ◽  
Nitesh Kushwaha
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Crop Improvement ◽  
Allelic Diversity ◽  
Morphological Characters ◽  
Maximum Contribution ◽  
Cluster Distance ◽  
Sesame Genotypes ◽  
High Degree ◽  
Hybridization Programme

Genetic divergence among parents is of paramount importance in selecting them for hybridization programme for crop improvement. Genetic divergence was assessed among 30 sesame genotypes which were evaluated in RBD with an objective to classify and understand the nature and magnitude of genetic diversity with regard to grain yield, yield components and quality traits using Mahalanobis D2 statistics. The genotypes differed significantly regarding the characters studied and displayed marked divergence and were grouped into four clusters following Tocher’s method. Cluster I had twenty-seven genotypes while the Cluster II, cluster III and cluster IV were monogenotypic comprised only one genotype each. The oil content exhibited maximum contribution towards divergence. The  maximum inter  cluster  distance  was  recorded  between  cluster  III  and  IV (2717.76) followed by cluster I and IV (1760.59), cluster II and III (991.96), cluster I and II (695.67), cluster I and III (637.32) and cluster II and IV (584.59) indicating the chances of getting high yielding recombinants would be better if the crosses are made among the genotypes of these groups under timely sown condition. The genotypes in cluster III and cluster IV, due to maximum inter cluster distance between them, exhibited high degree of genetic diversity and thus may be utilized under inter varietal hybridization programme (transgressive breeding) for getting high yielding recombinants. The analysis of divergence indicated significant differences among parental lines for all the agro-morphological characters. Based on results obtained in the present investigation, it is concluded that the allelic diversity can be used for future breeding program. The traits under study are largely associated with each other and should be taken into consideration either simultaneously or alone for selecting a high yielding sesame genotype.

Morphological and molecular characterization of underutilized medicinal wild ginger (Zingiber barbatum Wall.) from Myanmar

2011 ◽  
Vol 9 (4) ◽  
pp. 531-542 ◽  
Author(s):  
Noladhi Wicaksana ◽  
Syed Abdullah Gilani ◽  
Dawood Ahmad ◽  
Akira Kikuchi ◽  
Kazuo N. Watanabe
Keyword(s):  
Genetic Diversity ◽  
Growth Habit ◽  
Crop Improvement ◽  
Morphological Characters ◽  
Molecular Characteristics ◽  
Medicinal Species ◽  
Primer Sets ◽  
High Degree ◽  
Morphological And Molecular Characterization

Zingiber barbatum Wall. (family Zingiberaceae), is an underutilized medicinal plant and commonly known as ‘Meik tha-lin’ in Myanmar where it is used in the indigenous system of medicine. In the present study, 19 accessions of Z. barbatum from five provinces in Myanmar have been utilized to characterize and assess genetic diversity. Twenty-nine morphological characters were noted, including growth habit, leaf, pseudo-stem and rhizome characters. Fifteen primer sets of P450-based analogue (PBA) markers were used to reveal molecular characteristics. Of the 29 morphological characters, 22 showed a high degree of variation within wild ginger accessions, whereas 20 of these characters contributed significantly to morphological variation. Eleven amplified primer sets gave a total of 175 bands and exhibited 92.15% polymorphism across Z. barbatum accessions. Based on morphological characters and PBA markers, 19 accessions can be divided into two morphotype groups with comparatively higher genetic diversity. This information can be applied in future crop improvement, proper conservation and better use of this underutilized medicinal species.

scholarly journals Genetic Divergence Studies in Little Millet (Panicum sumatrense)

2019 ◽  
Vol 39 (03) ◽  
Author(s):  
T Venkataratnam ◽  
L Madhavi Latha ◽  
M Reddi Sekhar ◽  
A R Nirmal Kumar
Keyword(s):  
Genetic Diversity ◽  
Seed Weight ◽  
Crop Improvement ◽  
Flowering Plant ◽  
Area Index ◽  
Little Millet ◽  
Cluster Distance ◽  
Improvement Programme ◽  
Initiation Stage ◽  
Hybridization Programme

Genetic diversity was estimated in 50 little millet genotypes by Mahalanobis D2 analysis for nine quantitative and eight physiological traits. In the present investigation based on D2 analysis fifty genotypes were grouped into 7 clusters. Among the different clusters cluster I had maximum number 35 genotypes followed by cluster II contains 10 and clusters III, IV, V, VI, VII were solitary. Inter cluster distances were higher than intra cluster distances indicating wider genetic diversity among the genotypes. The maximum inter cluster distance was observed between cluster IV and VII (131.19) followed by cluster II and IV (112.18) and cluster III and VII (104.28) indicated the existence of highly divergent genotypes. The genotypes from these clusters could be used as parents in hybridization programme to develop good recombinants. Days to 50% flowering, plant height, leaf area index at panicle initiation stage and 1000 seed weight contributed maximum towards genetic diversity. These traits could be given importance for selecting parents in crop improvement programme.

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 Estimation of Genetic Diversity in Rice (Oryza sativa L.) CMS Lines for High out Crossing Potential and Quality Traits

2020 ◽  
pp. 108-115
Author(s):  
Kasanaboina Krishna ◽  
Y. Chandra Mohan ◽  
V. Gouri Shankar ◽  
Ch. V. Durga Rani ◽  
L. Krishna
Keyword(s):  
Genetic Diversity ◽  
Oryza Sativa L ◽  
Kernel Length ◽  
Cluster Distance ◽  
Gel Consistency ◽  
Rice Genotypes ◽  
Total Divergence ◽  
High Degree ◽  
Hybridization Programme ◽  
Selection Of

In the present study genetic diversity among 40 rice genotypes was evaluated using Mahalanobis D2 statistic based on morphological markers. Based on cluster analysis, the germplasms were grouped into 4 clusters of which Cluster I comprising of 23 genotypes was the largest group followed by the cluster II comprising of 15 genotypes, the clusters III and IV were represented by single genotype indicating high degree of heterogeneity among the genotypes. Maximum intra cluster distance observed in cluster II is (146.8) followed by cluster I (112.9) indicating the existence of variability among the genotypes within these clusters. The highest inter-cluster distance was observed between cluster IV and III (606.5), While the lowest was noticed between cluster II and III (222.9), describing that the genotypes included in these clusters were closely related. The kernel length, kernel length after cooking, kernel breadth, gel consistency, days to 50% flowering and plant height together contributed 90.1% towards total divergence. Therefore, these characters should be given importance during hybridization and selection of segregating populations. The genotypes falling in different clusters with the high mean for grain yield and other component characters can be utilized for the hybridization programme to obtain elite segregants.

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%).

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 Pointed Gourd

1970 ◽  
pp. 87-92 ◽  
Author(s):  
MY Kabir ◽  
ASMMR Khan ◽  
MS Hassain
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Agricultural Research ◽  
Growing Season ◽  
Mean Value ◽  
Research Station ◽  
Cluster Distance ◽  
Late Maturity ◽  
Pointed Gourd ◽  
Clustering Pattern

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

scholarly journals Assessment of Genetic Diversity among Indian and Exotic Genotypes of Brassica juncea using Phenotypic Evaluation

2020 ◽  
Author(s):  
Vivek K. Singh ◽  
Ram Avtar ◽  
Mahavir . ◽  
Nisha Kumari ◽  
Manjeet . ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Brassica Juncea ◽  
Crop Improvement ◽  
Morphological Characters ◽  
Germplasm Management ◽  
Dissimilarity Matrix ◽  
High Genetic Diversity ◽  
Early Maturity ◽  
Mean Values ◽  
Dissimilarity Coefficients

Background: Rapeseed-mustard is one of the most important oilseed crops in India, however, its genetic diversity is barely known. A better understanding on this topic is essential for the proper utilization of genotypes in crop improvement. Methods: Present study was carried out to determine the genetic diversity among 95 diverse genotypes of Brassica juncea (L.) in paired rows of 4 m length with a spacing of 30 x 10-15 cm (row × plant). Data were recorded on 11 different agro-morphological characters. Result: All the 95 genotypes were grouped into five distinct clusters based on Manhattan dissimilarity coefficients. Amongst the five clusters, cluster V and IV had the maximum number of genotypes (35 and 23 genotypes respectively) and cluster II with least number of genotypes (three). The Manhattan dissimilarity coefficients ranged from 0.741 to 8.299. Based on the genetic dissimilarity matrix, the maximum dissimilarity (8.299) was observed between the genotypes, DRMRIJ-15-133 and M 62. Cluster III recorded for medium plant height with medium early maturity and cluster I, had maximum mean values for most of the agro-morphological traits. The present work indicated the presence of high genetic diversity among genotypes, which can be used in future breeding programmes for developing mustard cultivars and germplasm management purposes.

scholarly journals Characterization of Indian Mustard Germplasm on the Basis of Morphological Traits and SSR Markers

2020 ◽  
pp. 300-311
Author(s):  
Narendra Singh Rajpoot ◽  
M. K. Tripathi ◽  
Sushma Tiwari ◽  
R. S. Tomar ◽  
V. S. Kandalkar
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Morphological Traits ◽  
Indian Mustard ◽  
Morphological Characters ◽  
High Genetic Diversity ◽  
Average Value ◽  
Seed Crops ◽  
High Degree

The genus Brassica is one of the most important oil seed crops in India with high degree of genetic diversity. In present study, genetic diversity was studied in forty germplasm lines and eight cultivars of Indian mustard using morphological traits and SSR markers. Morphological characters were taken for days to 50% flowering, days to maturity, plant height (cm), length of main raceme (cm), number of primary branches/plant, number of secondary branches/plant, number of silique per plant, number of seeds per silique, 1000 seed weight (g) and seed yield per plant (g). Total 50 SSR markers were used for characterization of these lines, out of which 7 SSR markers were highly polymorphic between all the germplasms of mustard. An UPGMA phonogram was constructed for all 48 Germplasms and the similarity coefficient ranged from 0.00 to 0.91. Number of alleles ranged from 3 to 4, genetic diversity ranged from 71% to 65% with average value of 67%, heterozygosity raged from 20 to 10% with average of 12% and PIC value for markers ranged from 0.65 to 0.59 with mean PIC value 0.61. All seven SSR primers showed PIC value above 0.5 (50%) indicating high genetic diversity in the studied plant material.

scholarly journals Genetic diversity of yield related traits in a large subset of exotic and indigenous rice germplasm collection maintained at Tamil Nadu Agricultural University gene bank

2021 ◽  
Vol 58 (4) ◽  
pp. 487-495
Author(s):  
K Amudha ◽  
G Ariharasutharsan
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Genetic Divergence ◽  
Tamil Nadu ◽  
Geographical Origin ◽  
Germplasm Collection ◽  
Grain Weight ◽  
Rice Germplasm ◽  
Cluster Distance ◽  
Clustering Pattern

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.

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