scholarly journals Genetic diversity of aromatic rice in Bangladesh

2017 ◽  
Vol 4 (1) ◽  
pp. 1-6
Author(s):  
Md Mizan Ul Islam ◽  
Parth Sarothi Saha ◽  
Tusher Chakrobarty ◽  
Nibir Kumar Saha ◽  
Md Sirajul Islam ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Agricultural Research ◽  
Maximum Yield ◽  
Appreciable Amount ◽  
Aromatic Rice ◽  
Potential Donor ◽  
Cluster Distance ◽  
Agricultural Research And Development ◽  
Rice Genotypes

The nature and magnitude of diversity in 53 aromatic rice genotypes was evaluated in rain fed condition at BRAC Agricultural Research and Development Centre, Gazipur in 2012. The Euclidian method of divergence analysis indicated the presence of appreciable amount of genetic diversity in the material. These aromatic rice genotypes were grouped into six clusters where cluster I was the largest. Inter-cluster distances were larger than the intra-cluster distance revealed that there situated considerable genetic diversity among the genotypes. Based on positive value of vector I and II days to 50% flowering, seed length, and grain yield per hill had maximum contribution towards genetic divergence. Maximum yield contributing traits were accumulated in cluster V and as a result higher grain yield (42.0 g/hill) was obtained in this cluster. The genotypes of cluster V can be used in hybridization program to produce higher yielding breeding materials with all other clusters. The genotypes Cluster IV and cluster V were found most suitable for the respective characters and can be used as potential donor for future breeding programs.Res. Agric., Livest. Fish.4(1): 1-6, April 2017

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 Analysis of Yield Components and Aroma of Small Grain Aromatic Rice (Oryza sativa L.) in Bangladesh

2016 ◽  
Vol 13 (2) ◽  
pp. 17-24
Author(s):  
Parth Sarothi Saha ◽  
Mizan Ul Islam ◽  
Md. Sirajul Islam ◽  
Muhammad Abdus Salam
Keyword(s):  
Oryza Sativa ◽  
Grain Yield ◽  
Yield Components ◽  
Agricultural Research ◽  
Oryza Sativa L ◽  
Positive Contribution ◽  
Aromatic Rice ◽  
Agricultural Research And Development ◽  
Check Variety ◽  
Rice Genotypes

The study was conducted to evaluate the extent of variability among the small grain aromatic (SGA) rice (Oryza sativa L.) genotypes for yield and yield components. Twenty four popular SGA rice genotypes were evaluated for yield and yield contributing characters in BRAC Agricultural Research and Development Centre, Gazipur, Bangladesh. BRRI dhan34 was used as check variety. Highest grain yield per plant was observed in Chinikanai-1, which was followed by Kalijira PL-9, Kalijira PL-3 and Badshabhog. Chinikanai-1 had the highest number of grains per panicle. Correlation analysis revealed that the number of panicles per plant (r = 0.646) and number of grains per panicle (r = 0.525) had the positive contribution to grain yield. Based on sensory test, it was found that 18 genotypes were scented and six were lightly scented. After evaluation of yield components, four genotypes namely Chinikanai-1, Kalijira PL-9, Kalijira PL-3 and Badshabhog were selected as outstanding genotypes, which can be used as potential breeding materials for sub-tropical environment of Bangladesh.The Agriculturists 2015; 13(2) 17-24

scholarly journals Morpho-Molecular Diversity Analysis of Local Rice (Oryza sativa L.) Genotypes Using Microsatellite Markers

2020 ◽  
pp. 92-104
Author(s):  
S. K. Singh ◽  
Charupriya Singh ◽  
Mounika Korada ◽  
Sonali Habde ◽  
D. K. Singh ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Molecular Diversity ◽  
Agricultural Research ◽  
Polymorphic Information Content ◽  
Block Design ◽  
Genetic Enhancement ◽  
Diversity Analysis ◽  
Cluster Distance ◽  
Breeding Programmes ◽  
Rice Genotypes

Aim: The knowledge of genetic diversity and relationship among the genotypes play a significant role for genetic enhancement in breeding programmes to increase production, improve quality, biotic and abiotic stresses, and also for the selection of superior parental lines in rice. The present field experiment was conducted to study the diversity present in 29 local genotypes of rice using both morphological and molecular ways. Methodology: The experiment was conducted at Agricultural Research Farm, Banaras Hindu University, during Kharif-2017 in an augmented block design with 29 rice genotypes including 3 checks. Mahalanobis’ D2 analysis was carried out to assess the morphological diversity present among the genotypes and molecular analysis was done with 21 polymorphic SSR markers using the NTSYSpc software. Results: Mahalanobis’ D2 grouped the 29 genotypes into 6 clusters based on the inter-se genetic distance. The highest intra-cluster distance was recorded in the Cluster I (32.73), which comprised of 7 genotypes. The highest inter-cluster distance (65.86) was observed between Clusters IV and V. Molecular diversity analysis grouped the 29 rice genotypes into 2 main clusters i.e. cluster I and cluster II with dissimilarity coefficient of 0.34, which were further divided into sub-clusters. Polymorphic Information Content (PIC) value is an evidence of diversity and frequency among the varieties. The level of polymorphism varied from 0.164 to 0.694, with an average 0.521. The highest PIC value was observed for locus RM 5 (0.694) followed by RM 510 (0.692). All the 21 primers showed polymorphism and the number of alleles ranged from 2 to 4 with an average of 3.04.  Conclusion: This study established the presence of considerable amount of genetic diversity among the genotypes studied, the most diverse genotypes being Anupam gold and HUR-1309 followed by Kalanamak-2 and HUR-1304. Breeders may attempt hybridization among the above genotypes which showed maximum diversity, for creating more variability in rice and can be used for planning further breeding programmes.

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

Genetic variability and diversity analysis for yield and its components in wheat (Triticum aestivum L.)

2017 ◽  
Author(s):  
Vichitra Kumar Arya ◽  
Jogendra Singh ◽  
Lokendra Kumar ◽  
Rajendra Kumar ◽  
Punit Kumar ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Grain Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Scientific Information ◽  
Triticum Aestivum L ◽  
Flowering Plant ◽  
Cluster Distance ◽  
Spike Number

Forty nine genotypes of wheat were studied for generating scientific information on nature and magnitude of genetic variability and diversity for designing breeding programme. The experiment was conducted in randomized complete block design in three replications. The data were recorded on days to 50% flowering, plant height, peduncle length, number of productive tillers per plant, days to maturity, spike length, number of spikelets per spike, number of grains per spike, 1000-grain weight, biological yield per plant, grain yield per plant, harvest index and gluten content. Analysis of variance revealed significant differences among the genotypes for all the characters under study. The highest estimates of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were observed for grain yield per plant. High heritability coupled with high genetic advance was observed for grain yield per plant. Based on D2 –Statistics, 49 genotypes were grouped into eight clusters. The highest inter-cluster distance was found between cluster VII and VIII followed by III and VII. This indicates that genotypes included in these clusters possess wide genetic diversity. Grain yield per plant (31.46%) showed highest contribution towards genetic divergence; therefore, this character was major determinant of genetic diversity. On the basis of divergence and cluster mean it may be suggested that maximum heterosis and good recombinants could be obtained in crosses between genotypes of cluster VIII, VII and III in varietal improvement programme. Thus, crosses between the genetically diverse genotypes of cluster VIII with genotypes HUW 655, HP 1937, DBW 88 and HD 3058 and cluster VII with genotypes like HP 1938, HUW 656, K1006, DBW83, DBW 84, K1004, UP2822 and NW5050 are expected to exhibit high heterosis and are also likely to produce new recombinants with desired traits.

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 Study of Genetic Diversity for Selected Genotypes in Rice

2021 ◽  
pp. 51-59
Author(s):  
Ch Sai Nayan Raju ◽  
Gabrial M. Lal ◽  
Ch. Damodar Raju
Keyword(s):  
Genetic Diversity ◽  
Block Design ◽  
Indian Institute ◽  
Breeding Program ◽  
Salt Tolerant ◽  
Randomized Block Design ◽  
Cluster Distance ◽  
Genotype Cluster ◽  
Rice Genotypes ◽  
Telangana State

The present investigation was undertaken to study the 54 rice genotypes to estimate the diversity, among selected rice genotypes for yield and its component characters. The experiment was carried out during Kharif, 2020, in a randomized block design with three replications at the Indian Institute of Rice Research, Rajendranagar, Hyderabad voluntary center (Kampasagar), in Telangana State. The data was collected on characters viz and salt-tolerant score 0-9 scale. The 54 genotypes of rice were grouped into twelve clusters. Clusters with their genotypes are presented in. Cluster I had 15 genotypes, Cluster II had 13 genotypes, whereas Cluster III had 4 genotypes Cluster IV, V had 4 genotypes and cluster VI had 6 genotypes cluster VII had 1 genotype cluster VIII had three genotypes cluster Ⅸ, Ⅹ, Ⅺ had 1 genotypes cluster Ⅻ had 3 genotypes Highest inter-cluster distance was exhibited between clusters VIII and Ⅺ. and lowest cluster divergence found between the clusters Ⅳ and VII Greater the distance, wider the genetic diversity among the genotypes of those clusters. For high heterotic recombinants performing genotypes would be used as parents in the recombination breeding program. 

scholarly journals Divergence analysis of drought tolerant Genotypes of Wheat (Triticum astivum L.)

2015 ◽  
Vol 39 (3) ◽  
pp. 385-396
Author(s):  
MA Zaman ◽  
MNA Siddquie ◽  
M Mahbubur Rahman ◽  
MY Abida ◽  
MJ Islam
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Wide Spectrum ◽  
Principal Component ◽  
Mean Value ◽  
Research Centre ◽  
Lattice Design ◽  
Drought Tolerant ◽  
Cluster Distance ◽  
Component Loading

Thirty genotypes of wheat were grown in an Alpha Lattice Design with three replications for evaluation and divergence analysis. Seeds were sown on 24 November 2011 at Regional Wheat Research Centre, Bangladesh Agricultural Research Institute, Shyampur, Rajshahi. Significant variation was observed among the genotypes and these are grouped into six clusters. Clusters III and VI were comprised of maximum number of genotypes (6) followed by clusters I, IV, and V with 5 genotypes and the minimum genotypes (3) were in cluster II. The maximum inter-cluster distance was recorded between the Cluster VI and Cluster II followed by cluster III and Cluster II, which indicates that genotypes belonging to these distant clusters could be used in hybridization programme for getting a wide spectrum of variation among the segregates. The minimum intercluster distance was found between the Cluster IV and Cluster I followed by that of Cluster V and Cluster IV. The maximum intra-cluster distance was recorded in Cluster II, consisted of three genotypes of diverse origin followed by Cluster V consisting of five genotypes which indicated that the genotypes of these clusters might have considerable diversity among themselves. While the minimum distance was computed in Cluster I composed of five genotypes which indicated that these genotypes were genetically very close to each other. Considering the eigenvalues of all principal component analysis the PC1, PC2, PC3, PC4, and PC5 with values contributed 30.78%, 20.11%, 17.75%, 10.93%, and 7.63%, respectively, of the total variation. The results revealed from the present study that the first principal component had high positive component loading from grains/spike and high negative loading from grain yield. Considering the clusters mean value, the genotype of Cluster II and VI are most divergent and maximum heterosis and wide variability in genetic architecture may be expected from the crosses between the genotypes belonged to these clusters. More specifically the cluster II could be selected for dwarf in nature, early heading and maturity and bold grain size. The genotypes from the cluster IV could be selected for maximum spikes/m2 and maximum grain yield. The positive value of both vectors for days to heading and spikes/m2 indicated that these traits had the highest contribution towards divergence among the 30 drought tolerant wheat genotypes. DOI: http://dx.doi.org/10.3329/bjar.v39i3.21982 Bangladesh J. Agril. Res. 39(3): 385-396, September 2014

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.

scholarly journals Multivariate Analysis Of Divergence In Advanced Lines Of Mustard (Brassica spp)

1970 ◽  
Vol 23 (2) ◽  
pp. 29-34
Author(s):  
MA Zaman ◽  
M Tuhina-Khatun ◽  
MZ Ullah ◽  
M Moniruzzamn ◽  
MZ Rahman
Keyword(s):  
Multivariate Analysis ◽  
Agricultural Research ◽  
Block Design ◽  
Maximum Yield ◽  
Research Station ◽  
Randomized Block Design ◽  
Brassica Spp ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Total Divergence

A field experiment was conducted comprising eighteen advanced lines of mustard in a randomized block design with three replication at Regional Agricultural Research Station, BARI, Hathazari, Chittagong during Rabi season (December 2009 to April 2010) for estimation of divergence among advanced lines of mustard. The genotypes were grouped into four clusters. Cluster I contained the highest number of genotypes (6) and the cluster III contained the lowest (3). The inter-cluster distances in all cases were larger than the intra-cluster distance which indicated that wider diversity was present among the genotypes of distant grouped. The highest intra cluster distance was observed in cluster II and the lowest in I. The highest inter cluster distance was observed between the cluster III and II followed by III and I and the lowest between cluster IV and III. Days to 50% flowering (81.94%), days to maturity (8.24%), plant height (5.82%), branches per plant (1.91%) and siliquae per plant (1.17%) contributed maximum towards the total divergence which suggested that these characters were highly responsible for genetic divergence in the present materials. But the highest cluster means for primary branches per plant and maximum seeds per siliquae with minimum seed yield per plant were obtained from the cluster II. The genotypes from cluster I had dwarf plant along with earliness in days to 50% flowering, days to maturity and maximum number of primary branches per plant. Therefore, the genotypes from cluster I and III could be utilized in the hybridization programme for getting desirable transgressive segregants and high heterotic response due to getting maximum yield along with short duration.   Key words: Multivariate analysis; Divergence; MustardDOI: http://dx.doi.org/10.3329/bjpbg.v23i2.9322 Bangladesh J. Pl. Breed. Genet., 23(2): 29-34, 2010

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