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 diversity by using morphological, biochemical and molecular approaches of selected basmati rice (Oryza sativa L.) varieties

2016 ◽  
Vol 8 (1) ◽  
pp. 69-76 ◽  
Author(s):  
A. Mishra ◽  
Pradeep Kumar ◽  
R. S. Sengar ◽  
P. Kumar ◽  
R. Singh ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Molecular Analysis ◽  
Oryza Sativa L ◽  
Quality Parameters ◽  
Basmati Rice ◽  
Molecular Approaches ◽  
Gel Consistency ◽  
Rice Genotypes ◽  
Selection Of

The study investigates the genetic diversity among the Basmati rice genotypes. Selected nine Basmati rice genotypes were studied for twelve morphological traits, biochemical parameters and for molecular analysis with 11 SSR markers. Pusa Sugandha 5 and Basmati 370, showed strong aroma while other varieties showed medium aroma. Alkali spreading value were intermediate in Basmati 386, Vallabh Basmati 22 and Vallabh Basmati 24 while other varieties showed high values. Pusa Basmati 1 and Basmati 386 showed soft category of gel consistency while in rest varieties it was under medium category. Amylose percentage in grains were ranged from 18.02% (Taraori basmati) to 22.0% (Basmati370). Molecular analysis with 11 SSR markers showed 125 allels with an average number of allels 11.36 per locus. All the markers showed specific type of banding pattern along with 82 polymorphic allels in different genotypes. This study focuses on application of statistical methods and techniques in analysis of genetic diversity of the agronomic data, biochemical aspects related to quality parameters and at the molecular level using SSR markers for clustering procedure making dendrogram that helps the more accurate selection of the superior basmati genotypes for the further studies of the breeders and researchers.

scholarly journals GENETIC DIVERSITY IN LOCAL AROMATIC RICE (Oryza sativa L.) GENOTYPES

2012 ◽  
Vol 25 (2) ◽  
pp. 33-40 ◽  
Author(s):  
M. Ali ◽  
M. A. K. Mian ◽  
M. G. Rasul ◽  
M. A. Aziz Miah ◽  
M. Z. Alam ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Oryza Sativa L ◽  
Principal Component ◽  
Aromatic Rice ◽  
Shortest Distance ◽  
Single Genotype ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Rice Genotypes ◽  
Total Divergence

Genetic diversity was assessed for 66 local aromatic rice genotypes to identify parental genotypes having distant relationship through Mahalanobis’s D2 statistic. First six principal component axes above unity contributed 90.88% for variation among the genotypes. Yield per plant showed the highest contribution to total divergence followed by grain breadth, days to maturity and others. The genotypes under study were grouped into ten clusters. Clusters III and VII comprised of the maximum number (11) of genotypes when Cluster X possessed single genotype. The lowest inter genotypic distance was recorded between Kalijira-7 and Chinigura when the highest distance was observed between Elai and Rajbhog-2. The highest inter cluster distance was observed between clusters I and V while the shortest distance was carried by the clusters VII and IX. It revealed that the genotypes belonging to cluster I was far diverse from the genotypes under cluster V whereas the genotypes belonging to clusters VII and IX were least diverse. Among the genotypes, Oval Tapl, Sakkorkhora, Black, Dubsail, Rajbhog-2, Badshahbhog-8, Guamori, Elai, Kataribhog and BRRI dhan-38 might be selected from different clusters for different characters for future breeding program.DOI: http://dx.doi.org/10.3329/bjpbg.v25i2.18665

scholarly journals Genetic diversity assessment of Rice (Oryza sativa L.) germplasm using ssr markers

2015 ◽  
Vol 1 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Ahasanul Hoque ◽  
Shamsun Nahar Begum ◽  
Lutful Hassan
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Oryza Sativa L ◽  
Growth Duration ◽  
Breeding Programs ◽  
Diversity Assessment ◽  
Days To Heading ◽  
Early Maturing ◽  
Rice Genotypes ◽  
Selection Of

Diversity at molecular level among thirty rice genotypes, selected based on earliness and morphometric diversity was evaluated through five SSR markers associated with days to heading. Three primers viz., RM147, RM167 and RM215 showed polymorphism for growth duration related traits. A total of 17 alleles were detected among the 30 rice genotypes with an average of 5.66 alleles per locus. Polymorphism Information Content (PIC) ranged from 0.356 to 0.798 with an average of 0.543. A dendrogram based on total microsatellite polymorphism grouped 30 genotypes into four major clusters at 0.39 similarity coefficient differentiating early maturing genotypes from others. This information about the genetic diversity will be very useful for proper identification and selection of appropriate parents for future breeding programs, including gene mapping. The results also showed that microsatellite markers associated to genes or QTLs controlling growth duration properties are suitable tools for marker assisted selection (MAS) to select rice lines with short growth duration. DOI: http://dx.doi.org/10.3329/ralf.v1i1.22354 Res. Agric., Livest. Fish.1(1): 37-46, Dec 2014

scholarly journals Characterization of new plant type core set of rice (Oryza sativa L.) using QTL/gene-linked markers

2019 ◽  
Vol 56 (4) ◽  
pp. 352-360 ◽  
Author(s):  
Rachana B ◽  
Eswari KB ◽  
Jyothi B ◽  
Lakshmi Devi G ◽  
Jai Vidhya LRK ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Molecular Level ◽  
Oryza Sativa L ◽  
Similarity Coefficient ◽  
Functional Genes ◽  
Plant Type ◽  
Core Set ◽  
Rice Genotypes ◽  
Hybridization Programme

Genetic diversity in New Plant Type core set of rice was studied at molecular level employing 52 yield related and 12 randomly chosen markers. 42 markers were polymorphic among the genotypes with a total of 84 alleles. The number of alleles per locus ranged from 2 to 4 with an average of 3.0 per locus. The PIC value ranged from 0.07 to 0.51 with an average of 0.31. Gene specific markers (SCM2-indel2, Gn1a-indel3, TGW6-1d and GS5-03SNP), functional genes (Ghd7-sel and DEP1-promoter), linked markers RM8080 and RM340 were found to be the most appropriate marker to discriminate among the rice genotypes owing to the highest PIC value of more than 0.5. The cluster analysis distinguished these accessions in to eight clusters based on the principle of Unweighted Pair Wise Method using Arithemetic Average (UPGMA) constructed by Jaccard's similarity Coefficient. The dendrogram showed that the genotypes with common phylogeny and geographical orientation tend to cluster together. The highest similarity coefficient value was observed between the IRGC 25510 and IRGC 10658 (0.67) whereas lowest value was observed for Swarnadhan (0.18) and Azucena (0.21), showing highly diverse genotypes. Thus, these accessions were genetically diverse and could be directly utilized in hybridization programme for improvement of yield and related traits.

Assessment of molecular divergence using microsatellite markers linked to drought-yield QTLs of rice (Oryza sativa L.)

2020 ◽  
Vol 57 (2) ◽  
pp. 94-99
Author(s):  
ND Rathan ◽  
SK Singh ◽  
RK Singh ◽  
PR Vennela
Keyword(s):  
Genetic Diversity ◽  
Oryza Sativa ◽  
Oryza Sativa L ◽  
Polymorphic Marker ◽  
Polymorphic Markers ◽  
Rainfed Conditions ◽  
Transgressive Segregants ◽  
Rice Genotypes ◽  
Contemporary Study ◽  
Selection Of

The drought stress is the major limitation for the production and yield stability in the rice (Oryza sativa L.) growing areas particularly under rainfed conditions. The assessment of genetic diversity among the rice genotypes using molecular markers linked to drought-yield QTLs will help in the selection of divergent parents to produce superior recombinants and transgressive segregants to develop high yielding cultivars for drought conditions. So the current study was conducted to estimate the genetic diversity among the set of twenty four advanced drought tolerent rice genotypes and commercial checks using SSR markers linked to major drought-yield QTLs. A total of 31 alleles were detected by 13 polymorphic markers across 24 rice genotypes with a mean of 1.94 alleles per polymorphic marker. Among the polymorphic markers, 11 markers formed 2 alleles each, 2 markers have produced 3 alleles each. The PIC value observed in the contemporary study ranged from 0.239 to 0.499 with an average PIC value of 0.346. The dendrogram displayed a total five clusters on the basis of dissimilarity coefficient values, the cluster II had maximum ten genotypes followed by cluster IB-a with five genotypes and clusters IA-a, IA-b, IB-b with three genotypes each. IR 82475-110-2-2-1-2 and IR92937-178-2-2 (R-155) were found to be the most divergent genotypes.

scholarly journals Genetic Diversity in Aus rice (Oryza sativa L.) Genotypes of Bangladesh

2018 ◽  
Vol 43 (2) ◽  
pp. 253-266
Author(s):  
N Akter ◽  
H Begum ◽  
MZ Islam ◽  
MA Siddique ◽  
M Khalequzzaman
Keyword(s):  
Genetic Diversity ◽  
Oryza Sativa ◽  
Genetic Distance ◽  
Oryza Sativa L ◽  
Mean Value ◽  
Tiller Number ◽  
Cluster Distance ◽  
Transgressive Segregants ◽  
Rice Genotypes ◽  
High Genetic Distance

Genetic diversity in 31 traditional Bangladeshi Aus rice genotypes were studied under transplanted condition through Mahalanobis D2 statistic for grain yield and yield contributing characters. The genotypes were grouped into five clusters. The inter-cluster distances were higher than intra-cluster distances indicating wider genetic diversity among the genotypes of different clusters. The intra-cluster distances were lower in all the cases reflecting homogeneity of the genotypes within the clusters. The cluster II contained the highest number of genotypes (08) and the cluster I and III contained the lowest (05). The highest intra-cluster distance was noticed for the cluster II and the lowest for cluster IV. The highest inter-cluster distance was observed between cluster II and V followed by cluster III and V, cluster I and V and the lowest between cluster I and III. Regarding inter-cluster distance, the genotypes of cluster V showed high genetic distance from all other clusters. The genotypes from cluster V could be hybridized with the genotypes of other characters of other clusters for producing transgressive segregants. The highest cluster means for yield, effective tiller number and grain length, were obtained from cluster I; whereas the lowest mean value for yield, culm length, plant height and grain breadth were found in cluster II. Therefore, genotypes under cluster I, cluster II and cluster V might be selected for future breeding program as parents for crossing to produce new recombinants with desired traits.Bangladesh J. Agril. Res. 43(2): 253-266, June 2018

scholarly journals GENETIC DIVERSITY AND PARENTS SELECTION FROM EXOTIC RICE (Oryza sativa L.) GERMPLASM

2012 ◽  
Vol 25 (1) ◽  
pp. 11-16
Author(s):  
A. A. Mamun ◽  
N. A. Ivy ◽  
M. G. Rasul ◽  
M. M. Hossain
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Oryza Sativa ◽  
Oryza Sativa L ◽  
Principal Component ◽  
Component Analysis ◽  
Rice Genotypes ◽  
Total Divergence ◽  
Five Axes

Genetic divergence among fifty exotic rice genotypes along with two check varieties were estimated using D2 and principal component analysis. The study was undertaken to select suitable donor parents for use in improved breeding program of Bangabandhu Sheikh Mujibur Rahman Agricultural University in 2009. Principal component analysis (PCA) revealed that the first five axes accounted for 58.10% of the total variation. As per cluster analysis, the genotypes were grouped into seven clusters consisting 11, 16, 7, 11, 1, 2 and 4 genotypes which revealed that there exist considerable diversity among the genotypes. Considering the magnitude of genetic distance, contribution of different characters towards the total divergence and magnitude of cluster means for different characters, the genotypes RG-BU-08-057, 61, 65, 67, 69, 71, 85, 86, 88, 94, 96, 98 and 99 might be selected as a suitable parent for future hybridization program.DOI: http://dx.doi.org/10.3329/bjpbg.v25i1.17007

Diversity and variability analysis for yield parameters in rice(Oryza sativa L.) genotypes

2016 ◽  
Author(s):  
Y. Chandramohan ◽  
B. Srinivas ◽  
S. Thippeswamy ◽  
D. Padmaja
Keyword(s):  
Oryza Sativa L ◽  
Crop Improvement ◽  
Grain Weight ◽  
Fine Grain ◽  
Yield Parameters ◽  
Cluster Distance ◽  
Additive Gene ◽  
Total Divergence ◽  
Hybridization Programme ◽  
1000 Grain Weight

The analysis of variance revealed presence of significant variability among the 44 genotypes of rice for all the traits except for number of effective bearing tillers per plant. Higher magnitude of PCV and GCV were recorded for all the characters studied. Additive gene action was predominant for the traits, number of grains per panicle and 1000 grain weight. Based on D2 analysis the genotypes were grouped into 11clusters. On the basis of inter cluster distance genotypes from clusters IV and V followed by V and IX could be used as parents for future hybridization programme. Cluster mean analysis revealed the genotypes, JGL 21820 and JGL 21849 could be used in breeding programme for obtaining high yielding super fine grain segregants. Days to 50% flowering and 1000 grain weight manifested highest contribution towards total divergence, thus, these traits could be given due importance for further crop improvement.

scholarly journals GENETIC DIVERSITY ANALYSIS IN RICE (Oryza sativa L.)

2012 ◽  
Vol 25 (1) ◽  
pp. 31-39
Author(s):  
S. P. Chakma ◽  
H. Huq ◽  
F. Mahmud ◽  
A. Husna
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Oryza Sativa L ◽  
Grain Weight ◽  
Canonical Variate ◽  
Potential Donor ◽  
Mean Values ◽  
Cluster Distance ◽  
Rice Genotypes ◽  
1000 Grain Weight

The experiment was conducted under the agro-ecological zone of Modhupur Tract (AEZ-28) to determine the genetic diversity among 39 rice genotypes, collected from Bangladesh Rice Research Institute, Lal Teer Seed Ltd. and Chittagong Hill Tracts. The genotypes were grouped into six clusters based on Mahalanobis’s D2 statistics and Canonical Variate Analysis. Cluster I consisted with the highest number of (11) genotypes from different origin, whereas cluster IV consisted with the lowest number of (3) genotypes. Cluster III consisted of BRRI dhan 28, BRRI dhan 45, Gold, Tia, Dowel and Moyna showed maximum mean yield. Maximum inter cluster distance was recorded between cluster II and cluster III. The highest inter genotypic distance was observed between Tharak dhan and BRRI dhan 45. Cluster III had the highest mean values for grain yield, harvest index, 1000-grain weight and number of effective tillers per hill and cluster V for number of primary branches per panicle and cluster VI for number of filled grains per panicle that had significant positive correlation with grain yield. Number of unfilled grains per panicle, 1000-grain weight and grain yield showed maximum contribution towards genetic divergence. The genotypes from these clusters with desirable characters may be used as potential donor for future hybridization program to develop high yielders.DOI: http://dx.doi.org/10.3329/bjpbg.v25i1.17010

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.

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