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 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 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 Genetic diversity analysis for various morphological and quality traits in bread wheat (Triticum aestivum L.)

2018 ◽  
Vol 10 (1) ◽  
pp. 24-29
Author(s):  
Girnam Singh ◽  
Pradeep Kumar ◽  
Ravi Kumar ◽  
L. K. Gangwar
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Genetic Divergence ◽  
Harvest Index ◽  
Grain Weight ◽  
Quality Traits ◽  
Biological Yield ◽  
1000 Grain Weight

The present investigation was carried out during 2011-12 in a randomized block design (RBD) with 35 diverse wheat genotypes to assess the genetic diversity for various morphological and quality traits. The analysis of variance for grain yield and its contributing components namely days to 50% flowering, days to maturity, productive tillers, plant height, spike length, spikelets pet spike, grains per spikelet, biological yield, harvest index, 1000 grain weight, grain yield and gluten content showed highly significant differences (at <1% level of significance) among the genotypes under present study. High heritability along with high genetic advance and high phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) for grain yield (g), biological yield (g), harvest index (%), spike length (cm) and 1000 grain weight (g) indicated substantial contribution of additive gene action in the expression and thus selection would be effective for genetic improvement of these traits for improving grain yield in wheat. On the basis of multivariate analysis, 35 genotypes were grouped into ‘6’ clusters based on genetic divergence (D2 ) value. The compositions of clusters revealed that the Cluster IV contained the highest number of genotypes (9) followed by Cluster II (8), Cluster VI (8) and Cluster III (7). The highest inter cluster values were recorded between cluster III and V (8357.19) followed by cluster IV and V (7513.88), cluster IV and VI (6009.44) and cluster III and VI (5530.40) exhibiting wide genetic diversity. Among different traits, biological yield (32.12%), productive tillers (28.74%), harvest index (26.71%), plant height (24.20%), grain yield (19.23%) and grains per spikelets (14.89%) had maximum contribution to total genetic divergence, therefore may be used as selection parameters in transgressive segregants. Selection of genotypes from the clusters may be used as potential donors for further hybridization programme to develop genotypes with high yield potential in wheat crop.

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%).

scholarly journals Morphological variability and genetic diversity of Aman rice germplasm of Bangladesh cultivated in Mymensingh region

2021 ◽  
Vol 8 (4) ◽  
Author(s):  
Fahmida Reza Emi ◽  
Hadisa Khatun ◽  
Fahmina Yasmine ◽  
Ahmed Khairul Hasan ◽  
Mohammad Anwar Hossain
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Coefficient Of Variation ◽  
Morphological Variability ◽  
Grain Weight ◽  
Thousand Grain Weight ◽  
Rice Germplasm ◽  
Wide Range ◽  
Positive Direct ◽  
Hill Number

Thirty-one Aman rice germplasm were evaluated to assess their morphological variability and genetic diversity considering ten quantitative and thirty one qualitative traits at the field experimental plot of Bangladesh Institute of Nuclear Agriculture, Mymensingh, following randomized complete block design. The germplasm showed significant differences for all the studied traits. The highest grain yield/plant was recorded in Sentu-16 whereas the lowest was found in Gaindha. The genotypic coefficient of variation (GCV) was lower than those of the corresponding phenotypic coefficient of variation (PCV) for all the traits. High PCV and GCV along with heritability, genetic advance (GA) and GA in percentage of mean were recorded for number of filled grains/panicle and number of unfilled grains/panicle. Grain yield/plant had positively significant correlation with plant height, number of total tillers/hill, number of effective tillers/hill, number of filled grains/panicle and thousand grain weight. Path co-efficient analysis suggested that grain yield/plant had positive direct effect in association with days to fifty percent flowering, number of effective tillers/hill, panicle length, number of filled grains/panicle and thousand grain weight. Principal component analysis revealed that the first three components accounted for 79.57% of cumulative variance. Cluster analyses were revealed that the studied rice germplasm organized into five clusters based on D2 values where maximum inter-cluster distance was observed between cluster II and V. Qualitative characterization by distinctness, uniformity and stability test revealed that a wide range of variation was observed among the genotypes. Therefore, this study would be useful for breeders to choose and identify the revival and preservation of beneficial genes for crop improvement.

scholarly journals Genetic Diversity of Bacterial Blight Resistant Rice (Oryza sativa L.) Genotypes from INGER

2020 ◽  
Vol 23 (2) ◽  
pp. 59-64
Author(s):  
F Akter ◽  
MZ Islam ◽  
A Akter ◽  
SK Debsharma ◽  
A Shama ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Bacterial Blight ◽  
Oryza Sativa L ◽  
Mean Value ◽  
Grain Weight ◽  
Yield Potential ◽  
Growth Duration ◽  
Panicle Number ◽  
Cluster Distance ◽  
1000 Grain Weight

Genetic diversity of 65 rice genotypes was studied from IRBBN (International Rice Bacterial Blight Nursery) of INGER (International Network for Genetic Evaluation of Rice) materials 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 III contained the highest number of genotypes (23) and the clusterv contained the lowest (8). The highest intra-cluster distance was noticed for the cluster I and lowest for cluster III. The highest inter-cluster distance was observed between cluster I and V, followed by cluster IV and V, cluster II andV and the lowest between cluster I and IV. 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 clusters for producing transgressive segregants. Based on canonical vector analysis, panicle number per plant had maximum contribution towards genetic divergence. The highest cluster means for yield, grain/panicle and spikelet fertility were obtained from cluster V. The highest means for 1000 grain weight, second higher yield and the lowest growth duration were found in cluster II, while the lowest mean value for yield and 1000 grain weight and higher mean value for growth duration were found in cluster IV. The crosses between the genotypes/parents of cluster V and cluster II, cluster V and cluster I would exhibit high heterosis as well as higher level of yield potential. Therefore, more emphasis should be given for selection of the genotypes from clusters II and V for future breeding programme. Bangladesh Rice j. 2019, 23(2): 59-64

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  

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 analysis in basmati rice genotypes (Oryza sativa L.) for agro-morphological and quality traits using multivariate approach

2021 ◽  
Vol 58 (1) ◽  
pp. 1-7
Author(s):  
Vinod Kumar ◽  
Dhirendra Singh
Keyword(s):  
Genetic Divergence ◽  
Amylose Content ◽  
Oryza Sativa L ◽  
Grain Weight ◽  
Basmati Rice ◽  
Quality Traits ◽  
Grain Length ◽  
Cluster Distance ◽  
Rice Genotypes ◽  
1000 Grain Weight

Genetic diversity of 30 basmati rice genotypes was analysed based on nine agro-morphological and six quality traits. The results of the principal component analysis showed that the first six principal components explained 89.16% of the total variation in the experimental material. These 30 basmati genotypes were grouped into six clusters which indicated the presence of sufficient diversity among the tested genotypes. Cluster I and cluster III was found to be the largest comprising of 10 genotypes each followed by cluster II having seven genotypes. The highest average intra-cluster distance was observed in cluster III. Highest inter-cluster distance (D2) was observed between clusters III and VI followed by clusters III and V, III and IV & clusters II and III. Cluster II showed high mean value for grain yield per plant, 1000 grain weight, and grain length. The characters viz., amylose content, grain length after cooking, spikelet per panicle, grain width, grain length and 1000 grain weight contributed maximum towards total genetic divergence, suggest their suitability of selection.

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