scholarly journals GENETIC DIVERSITY IN VEGETABLE PEA (Pisum sativum L.)

2013 ◽  
Vol 26 (1) ◽  
pp. 35-40
Author(s):  
M. Rahman ◽  
M. Hasan ◽  
R. N. Chowdhury ◽  
N. A. Ivy ◽  
M. M. Hossain
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Pisum Sativum ◽  
Genetic Divergence ◽  
Principal Component ◽  
Reducing Sugar ◽  
Pisum Sativum L ◽  
Close Relationship ◽  
Cluster Distance ◽  
Minimum Number

An investigation was carried out to identify the extent of genetic divergence of seventeen vegetable pea genotypes at the Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh. Genetic divergence was estimated using D2 and principal component analysis. The genotypes under study fell into 4 clusters. The distribution pattern indicated that the maximum numbers of genotypes (6) were included in cluster II and cluster III and the minimum number in cluster IV (1). The inter-cluster distance was higher than the intra-cluster distance which indicated wider genetic diversity among the accessions of different groups. The highest inter-cluster distance was observed between II and IV. The lowest inter-cluster distance was observed between clusters II and III suggesting a close relationship among the genotypes of these two clusters. The highest intra-cluster distance was observed for the cluster II. The positive values of vector I and vector II for plant height, 50% flowering and non-reducing sugar indicated that these characters had the highest contribution towards the divergence among the pea genotypes. The genotypes of vegetable pea from cluster II and cluster IV maybe selected as parents in future hybridization program.DOI: http://dx.doi.org/10.3329/bjpbg.v26i1.19982

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 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 Stem Amaranth (Amaranthus tricolor L.) Genotypes for Yield and its Component Characters

2013 ◽  
Vol 11 (1) ◽  
pp. 82-88
Author(s):  
CA Akther ◽  
M Hasan ◽  
MS Raihan ◽  
MM Hossain ◽  
MAK Mian
Keyword(s):  
Genetic Diversity ◽  
Distribution Pattern ◽  
Analysis Of Variance ◽  
Genetic Divergence ◽  
Amaranthus Tricolor ◽  
Significant Difference ◽  
Close Relationship ◽  
Cluster Distance ◽  
Minimum Number

An investigation was carried out to identify the extent of genetic divergence that exist for the yield and yield contributing characters of seventeen genotypes of amaranth using Mahalanobis D2 analysis. Analysis of variance showed significant difference among the genotypes for most of the characters studied. The genotypes under study fell into 4 clusters. The distribution pattern indicated that the maximum number of genotypes (6) was included in cluster (IV) followed by cluster III (5) and cluster II (5), and the minimum number was in cluster I (1). The inter cluster distance in most of the cases was higher than the intra cluster distance, which indicated wider genetic diversity among the accessions of different groups. The highest inter cluster distance was observed between IV and I, followed by the distance between cluster II and I showing wide diversity among the groups. The lowest inter-cluster distance was observed between clusters III and II suggesting a close relationship among the genotypes of these two clusters. The highest intra-cluster distance was observed for the cluster IV and the lowest for the cluster I. The positive values of vector I and vector 2 for stem weight and weight of leaf indicated that these two characters had the highest contribution towards the divergence among the stem amaranths. The genotypes of stem amaranth from cluster I and cluster IV may be selected as parents in future hybridization program. DOI: http://dx.doi.org/10.3329/agric.v11i1.15247 The Agriculturists 2013; 11(1) 82-88

scholarly journals Genetic Diversity Of Some Restorer Lines For Hybrid Rice Development

1970 ◽  
Vol 36 (1) ◽  
pp. 21-28 ◽  
Author(s):  
MU Kulsum ◽  
MJ Hasan ◽  
H Begum ◽  
MM Billah ◽  
H Rahman
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Genetic Divergence ◽  
Hybrid Rice ◽  
Principal Component ◽  
Component Analysis ◽  
Spikelet Fertility ◽  
Restorer Line ◽  
Panicle Length ◽  
Cluster Distance

Genetic divergence of thirty six restorer lines was studied through Mohalanobis’s D2 and principal component analysis for nine characters. Genotypes were grouped into five different clusters. Cluster III comprised of maximum number of genotypes (eleven) followed by cluster I and IV. The inter-cluster distance was maximum between clusters II and IV (14.064) indicating wide genetic diversity between these two clusters followed by the distance between cluster II and V (10.353), cluster III and cluster IV (8.588). The minimum inter- cluster distance was observed between cluster I and cluster III (2.885) followed by cluster I and cluster V (4.359) and cluster III and cluster V (4.825) indicating that the genotypes of these clusters were genetically close. The intra cluster distance in the entire five clusters was less, which indicated that the genotypes within the same cluster were closely related. Among the characters, number of tillers/hill, panicle length, number of filled spikelets/ panicle, spikelet fertility % and yield/plant contributed most for divergence in the studied genotypes. It indicates that these parameters can contribute more for yield in hybrid rice development.   Keywords: Rice; restorer line; genetic divergence; D2. DOI: http://dx.doi.org/10.3329/bjar.v36i1.9226 BJAR 2011; 36(1): 21-28

scholarly journals Keanekaragaman genotipe-genotipe potensial dan penentuan keragaman karakter argo-morfologi ercis (Pisum sativum L.)

Jurnal Agro ◽  
10.15575/3230 ◽  
2018 ◽  
Vol 5 (2) ◽  
pp. 127-139
Author(s):  
Rawina Saragih ◽  
Darmawan Saptadi ◽  
Chindy Ulima Zanetta ◽  
Budi Waluyo
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Pisum Sativum ◽  
Pearson Correlation ◽  
Principal Component ◽  
Morphological Characters ◽  
Agglomerative Hierarchical Clustering ◽  
Pair Group ◽  
Pisum Sativum L ◽  
Index Value

Ercis (Pisum sativum L.) merupakan salah satu tanaman kacang komersial yang penting di dunia termasuk di Indonesia. Ercis lokal merupakan sumber populasi untuk meningkatkan kapasitas genetik hasil panen polong dan biji melalui seleksi galur murni. Tujuan penelitian ini untuk mempelajari jarak dan keanekaragaman genetik, serta keragaman karakter 37 genotipe potensial ercis hasil seleksi galur murni varietas lokal. Penelitian dilaksanakan pada bulan Maret hingga Juni 2018 di Desa Pendem, Kecamatan Junrejo, Kota Batu. Percobaan menggunakan rancangan acak kelompok dengan 37 genotipe sebagai perlakuan dan diulang tiga kali, sehingga terdapat 111 satuan percobaan. Pengamatan dilakukan pada masing-masing tanaman yakni karakter agronomi dan morfologi. Pengelompokan genetik didasarkan pada agglomerative hierarchical clustering dengan similiritas koefisien kolerasi Pearson dan metode aglomerasi unweighted pair group method average (UPGMA). Keanekaragaman genetik didasarkan pada indeks Shannon-Wiener (H’) dan indeks Shimpson (D). Keragaman karakter agronomi dan morfologi 37 genotipe ercis menggunakan principal component analysis (PCA) dengan pendekatan tipe korelasi Pearson. Berdasarkan analisis klaster 37 genotipe ercis terbagi menjadi 6 kelompok berdasarkan 61 karakter agro-morfologi dengan koefisien kemiripan 89-99%. Diversitas genetik ercis dikategorikan sedang dengan nilai indeks Shanon-Wiener 1,5 dan nilai indeks Simpson 0,26 yang menunjukkan tidak terdapat kelompok genetik yang mendominansi. Tiga puluh tujuh genotipe ercis memiliki keragaman yang luas. Keragaman kumulatif berdasarkan 61 karakter agro-morfologi yang diamati mencapai 87,83% yang melibatkan 44 karakter pada 16 komponen utama pertama.Pea (Pisum sativum L.) is one of the important commercial legumes in the world, including in Indonesia. The aims of the research were to study  genetic distance, diversity, and characters variability of 37 genotypes of pea. The experiment was conducted on March to June 2018 in Pendem, Junrejo, Batu City. The experimental design used a randomized block design with 37 genotypes as treatments and replicated three times. Observations was made on agronomic and morphological characters. Genetic grouping according to agglomerative hierarchical clustering with Pearson correlation coefficient similarity and unweighted pair group average agglomeration method (UPGMA). Genetic diversity based on Shannon-Wiener (H') index and Shimpson (D) index. Variability of agronomic and morphological characters in 37 genotypes was analyzed by principal component analysis (PCA) with Pearson correlation approach. The results showed that cluster analysis of 37 genotypes was divided into six groups in 61 agro-morphological characters with similarity coefficients of 89-99%. Genetic diversity was medium categorized with Shanon-Wiener index value of 1.5 and Simpson index value of 0.26. It was indicated that no dominating on genotypes group. Thirty seven genotypes of pea showed high variability. Cumulative variability on 61 observed agro-morphological characters reached 87.83% which involved 44 characters in 16 first principal components.

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 Diversity in Brassica rapa L.

1970 ◽  
Vol 23 (1) ◽  
pp. 31-38 ◽  
Author(s):  
H Khatun ◽  
MG Rasul ◽  
MMH Saikat ◽  
MM Haque
Keyword(s):  
Genetic Diversity ◽  
Brassica Rapa ◽  
Genetic Divergence ◽  
Principal Component ◽  
Principal Coordinate Analysis ◽  
Canonical Variate ◽  
Diversity Pattern ◽  
Variate Analysis ◽  
Cluster Distance ◽  
Minimum Number

The genetic diversity was assessed in 42 Brassica rapa genotypes for identifying parental genotypes having distant relationship for hybridization. All the genotypes were analyzed through principal component analysis, principal coordinate analysis canonical variate analysis and non-hierarchical clustering which compute Mahalanobis’s D2 statistics. The genotypes under study were grouped into six clusters. The cluster V contained the maximum numbers of genotypes (15) and cluster III had the minimum number of genotypes (3). The highest intra-cluster distance was observed in cluster V that represented maximum variability within the cluster and Cluster VI had the lowest intra-cluster distance. The maximum inter cluster distance was noticed between the clusters II and III and the lowest between clusters II and VI. Cluster with large distances were considered more diverged than those with small distances. Yield and yield contributing characters such as days to 1st flowering, number of siliquae on main racemes, number of siliquae per plant, number of seeds per siliqua, 1000 seeds weight and seed yield per plant contributed more towards genetic divergence considering diversity pattern. Considering cluster distance, inter-genotypic distance, cluster mean and other agronomic performances genotypes BC-200502, BC-200505, BC-200506, BC-200510, BC-200512, BC-200515, BC-200519, BC-200521, BC-200529, BC-200530, BC-200531B, BC-200531Y, BC-200536, BC-200537, BC-200542, BC-200543, BARI Sarisha 12, and BARI Sarisha 14 may be selected from different clusters for hybridization program.   Key words: Genetic divergence; Brassica rapa; cluster analysis; D2-statistics DOI: http://dx.doi.org/10.3329/bjpbg.v23i1.9315 BJPBG 2010; 23(1): 31-37

scholarly journals Genetic diversity of some chili (Capsicum annuum L.) genotypes

2014 ◽  
Vol 4 (1) ◽  
pp. 32-35 ◽  
Author(s):  
MJ Hasan ◽  
MU Kulsum ◽  
MZ Ullah ◽  
M Manzur Hossain ◽  
M Eleyash Mahmud
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Capsicum Annuum ◽  
Principal Component ◽  
Plant Canopy ◽  
Capsicum Annuum L ◽  
Quantitative Characters ◽  
Cluster Distance ◽  
Minimum Number ◽  
Branch Plant

A study on genetic diversity was conducted with 54 Chili (Capsicum annuum L.) genotypes through Mohalanobis’s D2 and principal component analysis for twelve quantitative characters viz. plant height, number of secondary branch/plant, canopy breadth , days to first flowering, days to 50% flowering, fruits/plant, 5 fruits weight, fruit length, fruit diameter, seeds/fruit, 1000 seed weight and yield/plant were taken into consideration. Cluster analysis was used for grouping of 54 chili genotypes and the genotypes were fallen into seven clusters. Cluster II had maximum (13) and cluster III had the minimum number (1) of genotypes. The highest inter-cluster distance was observed between cluster I and III and the lowest between cluster II and VII. The characters yield/plant, canopy breadth, secondary branches/plant, plant height and seeds/fruit contributed most for divergence in the studied genotypes. Considering group distance, mean performance and variability the inter genotypic crosses between cluster I and cluster III, cluster III and cluster VI, cluster II and cluster III and cluster III and cluster VII may be suggested to use for future hybridization program. DOI: http://dx.doi.org/10.3329/ijarit.v4i1.21088 Int. J. Agril. Res. Innov. & Tech. 4 (1): 32-35, June, 2014

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

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