Genetic divergence analysis of yield and its contributing traits in tall field Pea (Pisum sativum L.)

2017 ◽  
Vol 2 (01) ◽  
pp. 60-63
Author(s):  
V. P. Rahul ◽  
Bharat Bhushan ◽  
Ravi Kumar ◽  
Ram Krishna
Keyword(s):  
Pisum Sativum ◽  
Geographical Distribution ◽  
Genetic Divergence ◽  
Block Design ◽  
Field Pea ◽  
Pisum Sativum L ◽  
Randomized Block Design ◽  
Cluster Distance ◽  
Superior Genotypes ◽  
Clustering Pattern

The experimental material consisting of forty advance genotypes including two checks (Rachna and Shikha) was evaluated in Randomized Block Design with three replications for eleven characters by using Mahalanobis’s D2 statistic. The clustering pattern of genotypes showed no definite relationship between genetic divergence and geographical distribution of genotypes. The genotypes were grouped into seven clusters. The maximum ten lines were put cluster IV, it had maximum intra-cluster distance while inter-cluster distance was highest between I and II. Cluster means indicated that none of the clusters was superior for all the characters studies; however hybridization between genotypes belonging to different cluster (viz. Ist and IInd) is suggested for development of superior genotypes in field pea.

scholarly journals ​​Genetic Divergence in Leafy Mustard (Brassica juncea var. rugosa) Germplasm Grown under Tarai Condition of Uttarakhand

2021 ◽  
Author(s):  
Dhiraj Bhandari ◽  
Anita Singh
Keyword(s):  
Brassica Juncea ◽  
Genetic Divergence ◽  
Block Design ◽  
Research Centre ◽  
Rich Diversity ◽  
Randomized Block Design ◽  
Cluster Distance ◽  
Qualitative Characters ◽  
Clustering Pattern ◽  
Selection Of

Background: Mustard represents a rich diversity and widely cultivated in 23 states and union territories of India. However, much of this diversity is concentrated in the Indo-Gangetic plains and the sub-mountain Himalayas. Genetic diversity plays a significant role in plant improvement because a hybrid between the lines of diverse origin usually display a greater heterosis than those between closely related ones which permit the selection of genetically divergent plants to obtain the desirable recombination of segregating generation. Therefore, the present study was undertaken to assess “Genetic Divergence in Leafy Mustard (Brassica juncea. var. rugosa) germplasm grown under Tarai condition of Uttarakhand” and to identify divergent parents for hybridization program, which would provide superior transgressive segregants from collected germplasm. Methods: The present investigation consisted of thirty-two genotypes of leafy mustard and the research was carried out at Vegetable Research Centre (VRC), G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand) in rabi season of 2015-2016. Mustard genotypes were sown in randomized block design with three replications in field and data were observed for seventeen quantitative and qualitative characters. The estimation of genetic divergence was done with the help of Mahalonobis D2 statistic as suggested by Rao (1952). Cluster analysis by Tocher method for all the traits was done. Result: Thirty two germplasm of leafy mustard for different characters and grouped them into six clusters using Mahalanobis D2 statistic. The analysis revealed the maximum inter cluster distance was (20534.12) between cluster V and cluster VI so, we can create variation by inter mating genotypes from these two clusters to each other and the maximum intra cluster distance in cluster III (441.91) with six germplasm. It means we can intermate genotypes of this cluster with each other (2014/MGVAR-2, FS-13-1, FS-13-4, 2014/MGVAR-4, PRHC-12-9-1, PRHC-12-7-2, FS-13-3 and Pusa Sag 1) to create variation in next generations. The clustering pattern could be utilized in selection of parents for crossing and deciding the best cross combinations which may generate the highest possible variability for various traits.

scholarly journals Genetic Divergence Analysis of Rice Genotypes under Salt Stress Environment

2020 ◽  
pp. 33-39
Author(s):  
Anuj Kumar ◽  
D. K. Dwivedi ◽  
Pradeep K. Bharti ◽  
Shivani . ◽  
Preeti Kumari ◽  
...  
Keyword(s):  
Salt Stress ◽  
Normal Condition ◽  
Genetic Divergence ◽  
Block Design ◽  
Stress Conditions ◽  
Saline Condition ◽  
Randomized Block Design ◽  
Cluster Distance ◽  
Rice Genotypes ◽  
Cluster 2

The present investigations were conducted in randomized block design with three replications within the net house of the department of PMB&GE, A. N.D.U.A.T, Kumar Ganj, Ayodhya to estimate the genetic divergence under normal and salt stress conditions involving 20 rice genotypes during Kharif 2018-19, on the basis of relative parameters of D2 values, the clustering pattern of 20 rice genotypes under normal and salt stress conditions were grouped into five non-overlapped clusters. Under normal condition, Cluster III having highest 7 rice genotypes, Cluster II having 5 genotypes, cluster V having 4 genotypes and IV having highest 3 rice genotype. Cluster I having only one genotype. Under saline condition, Cluster I having highest rice 6 genotypes, cluster III having 5 genotypes and cluster II & IV having 4 genotypes respectively. Cluster V having only one genotype. It means the genetic similarity was found in the genotypes were expressed within the cluster and the pattern of distribution of genotypes in various clusters exhibited that topographical diversity wasn't associated with ancestral diversity as genotypes of same countryside were grouped into different cluster and vice-versa. The highest inter cluster distance was recorded between cluster 2 and cluster 5 (26108.030) followed by between cluster 1 and cluster 5 (18550.010), cluster 3 and cluster 5 (15231.860), cluster 4 and cluster 5 (5335.860) in normal condition and in saline condition the maximum inter cluster distance was existed between cluster 4 and cluster 5 (2344.091) followed by between cluster 3 and cluster 5 (2067.610), cluster 2 and cluster 5 (1447.564), cluster 1 and cluster 5 (1238.095). The results showed extensive variation from one cluster to other in respect of cluster means for all parameters, which represented that genotypes having distinctly different mean performance for various characters were reported into different clusters.Rice

scholarly journals Effect of Biofertilizer and Mulch on Growth, Yield, Quality and Economics of Pea (Pisum sativum L.)

2021 ◽  
Author(s):  
Talwinder Singh ◽  
Harish Chandra Raturi ◽  
S.P. Uniyal
Keyword(s):  
Pisum Sativum ◽  
Block Design ◽  
Growth Yield ◽  
Plastic Mulch ◽  
Saw Dust ◽  
Pisum Sativum L ◽  
Randomized Block Design ◽  
Yield Quality ◽  
Fatehgarh Sahib ◽  
The Individual

Background: Pea is a nitrogen-fixing legume. The interest in pea as soil-building crops is increasing day by day as the chemical fertilizers are becoming less available and more expensive. The use of fertilizers is also increasing leading to environmental pollution. The adverse effect of plastic mulch in agriculture is related to handling the plastic wastes and the associated environmental impact. The current study was aimed to search for organic alternatives to fertilizer and plastic mulch in order to overcome the defeatist effects on the environment.Methods: The present investigation entitled “Effect of biofertilizer and mulch on growth, yield, quality and economics of pea (Pisum sativum L.)” was conducted during Rabi season 2017-18 at the Experimental farm, Department of Agriculture, Mata Gujri College, Fatehgarh Sahib, Punjab, India. The experiment was laid out in factorial randomized block design (FRBD) with three replications. The treatments consisted of four mulches, M0-No mulch, M1-Paddy straw@5t/ha, M2-Maize stubbles@4t/ha, M3-Sawdust@10t/ha and four Rhizobium doses, B0-No Rhizobium, B1-Rhizobium@20g/kg of seeds, B2-Rhizobium@25g/kg of seeds, B3-Rhizobium@30g/kg of seeds and their combinations. Conclusion: In the individual outcome of Rhizobium and mulch best results were obtained with the application of Rhizobium@30g/kg of seeds and saw dust@10t/ha. In interaction, Rhizobium@30g/kg of seeds and saw dust@10t/ha performed better as compared to other interaction treatments.

scholarly journals Evaluation of Genetic Divergence Analysis in Tomato (Solanum lycopersicom [Mill] Wettsd)

2020 ◽  
pp. 249-254
Author(s):  
Mahendra Kumar Yadav ◽  
G. C. Yadav ◽  
Nishakant Maurya ◽  
Bankey Lal ◽  
Vipul Pratap Singh ◽  
...  
Keyword(s):  
Genetic Divergence ◽  
Block Design ◽  
Randomized Block Design ◽  
Major Cluster ◽  
Geographic Diversity ◽  
Cluster Distance

The present investigation was carried out to estimate the genetic diversityfor11 yield contributing traits among 50 genotypes of tomato (Solanum lycopersicom [Mill.] Wettsd.) during 2017 in Randomized Block Design with three replications. In this context maximum intra cluster distance was recorded within cluster III and inter cluster distance was recorded between cluster I to V III. Cluster III had maximum number of genotypes. Major cluster in divergence analysis contained genotypes of heterogeneous origin, thereby indicating no parallelism between genetic and geographic diversity. Therefore, crosses between members of clusters separated by high inter- cluster distance are likely to produces desirable segregates.

scholarly journals Genetic Divergence in Groundnut (Arachis hypogaea L)

1970 ◽  
Vol 23 (1) ◽  
pp. 45-49
Author(s):  
MA Zaman ◽  
M Tuhina-Khatun ◽  
M Moniruzzaman ◽  
MN Yousuf
Keyword(s):  
Arachis Hypogaea ◽  
Genetic Divergence ◽  
Agricultural Research ◽  
Block Design ◽  
Research Station ◽  
Early Maturity ◽  
Randomized Block Design ◽  
Arachis Hypogaea L ◽  
Cluster Distance ◽  
Moderate Yield

Comprising 34 groundnut genotypes an experiment was conducted in a randomized block design with three replication at the Research farm of Regional Agricultural Research Station, BARI, Hathazari, Chittagong during Rabi season (December 2009 to April 2010) for estimation of the multivariate analysis of divergence. The genotypes were grouped into five clusters. Cluster III contained the highest number of genotypes (12) and the cluster II contained the lowest (2). The inter-cluster distances in all cases were larger than the intra-cluster distance which indicated that wider diversity is present among the genotypes of distant grouped. The highest intra cluster distance was observed in cluster V and the lowest in II. The highest inter cluster distance was observed between the cluster IV and III followed by V and III and the lowest between cluster V and I. Days to 50% flowering, days to maturity, number of branches per plant, number of matured nuts per plant and karnel size were the most important contributors based on the latent vector. But the highest cluster means for matured nuts per plant, 100 karnel weight, 100 nuts weight and yield per plant were obtained from the cluster II. With moderate yield but early maturity varieties were found in cluster IV. Therefore, more emphasis should be given on cluster VI for selecting genotypes as parents for crossing with the genotypes of cluster II and III for getting new recombinants with early maturity and higher yield.   Key Words: Genetic divergence; cluster analysis; D2 analysis; groundnut (Arachis hypogaea L) DOI: http://dx.doi.org/10.3329/bjpbg.v23i1.9317 BJPBG 2010; 23(1): 45-49

Genetic Divergence in Sunnhemp [Crotalaria juncea (L.)]

2021 ◽  
Author(s):  
Desai Tarjani B. ◽  
Madhu Bala ◽  
R.K. Patel
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Plant Root ◽  
Root Nodules ◽  
Block Design ◽  
Dry Weight ◽  
Leaf Length ◽  
Fresh Weight ◽  
Randomized Block Design ◽  
Cluster Distance

Background: Sunnhemp is a very important green manuring crop. The crop is utilized for various purposes like reducing soil erosion, improving soil properties and recycling plant nutrients. The knowledge regarding the crop is still not exploited, due to lack of research in this crop. So, the present study was conducted to know the extent of genetic diversity present in the crop. From the divergence analysis, it may be concluded that the genotypes belonging to different clusters separated by high estimated statistical distance may be used in the hybridization programme for developing high green biomass yielding sunnhemp varieties. Methods: A field experiment was conducted at the research farm of Department of Genetics and Plant Breeding, Navsari Agricultural University, Navsari, Gujarat with thirty sunnhemp genotypes to know the extent of genetic diversity by D2 analysis in a randomized block design during late Kharif 2017.Result: The analysis was conducted for D2 analysis and was concluded from D2 analysis that, the characters viz., days to 50% flowering, fresh weight of root nodules per plant, fresh weight of plant, root nodules per plant, leaf length, root length, dry weight of root nodules per plant, C: N ratio, internodes per plant, plant height and stem diameter contributed towards the genetic divergence. Traits like primary branches per plant and leaf area didn’t contribute towards genetic divergence. The thirty genotypes were grouped into seven clusters following Tocher’s method (Rao, 1952). The cluster III was largest having eleven genotypes. Cluster IV and cluster II was second largest which contained seven and five genotypes respectively. Cluster I and cluster V contained three and two genotypes respectively Cluster VI and VII had only one genotype. The intra cluster distance was more in cluster III and the inter cluster distance was maximum between cluster V and cluster VII.

scholarly journals Genetic divergence in tomato lines (Solanum lycopersicum L.)

2016 ◽  
Vol 13 (1) ◽  
pp. 61-64
Author(s):  
MZ Ullah ◽  
L Hassan ◽  
T Singha ◽  
AK Patwary
Keyword(s):  
Solanum Lycopersicum ◽  
Plant Height ◽  
Geographical Distribution ◽  
Genetic Divergence ◽  
Fruit Weight ◽  
Solanum Lycopersicum L ◽  
Cluster Distance ◽  
The Mean ◽  
Clustering Pattern

Twenty genotypes of tomato were assessed for their genetic divergence using Mahalanobis D2statistics. Based on D2 values of eleven yield related characters, genotypes were grouped in to five clusters. Maximum genotypes were grouped in cluster II (6) followed by cluster IV (5) the remaining 9 genotypes were distributed in three clusters, four in cluster III, three in cluster I and two genotypes in cluster V. Clustering pattern indicated that there was no association between geographical distribution of genotypes and genetic divergence. The mean intra and inter cluster distance (D) revealed that cluster I had highest intra cluster distance (0.979), while the inter cluster distance was maximum between cluster III and I (13.546) followed by III and V (11.218). The characters like plant height, fruit weight, fruits per plant contributed maximum to genetic divergence.J. Bangladesh Agril. Univ. 13(1): 61-64, June 2015

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 Evaluation of Genetic Divergence for Grain Yield and Its Contributing Traits in Field pea (Pisum sativum L. var. arvense)

2018 ◽  
Vol 7 (06) ◽  
pp. 1821-1826
Author(s):  
Kanhaiya Lal ◽  
Rajesh Kumar ◽  
Vishal Singh ◽  
Amit Kumar Chaudhary ◽  
Harikant Yadav ◽  
...  
Keyword(s):  
Pisum Sativum ◽  
Grain Yield ◽  
Genetic Divergence ◽  
Field Pea ◽  
Pisum Sativum L

scholarly journals ​Genetic Diversity for Seed Yield and its Components in Clusterbean [Cymopsis tetragonaloba (L.) Taub]

2021 ◽  
Author(s):  
Hina M. Makwana ◽  
P.R. Patel ◽  
D.G. Patel
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Animal Feed ◽  
Block Design ◽  
Hybrid Vigor ◽  
Cyamopsis Tetragonoloba ◽  
Legume Crop ◽  
Randomized Block Design ◽  
Cluster Distance ◽  
Gum Content

Background: Clusterbean [Cyamopsis tetragonoloba (L.) Taub.] (2n=2x=14) is an under exploited legume belonging to family fabaceae. Clusterbean is a versatile legume crop cultivated mostly as animal feed, green manure green leaves as fodder, vegetable and cover crop. Clusterbean is a drought resistant, hardy, deep rooted annual legume crop. D2 statistics provides a measure of magnitude for divergence between two genotypes under comparison. For broadening the genetic base of cultivars, the genetic diversity present in cultivated and wild relatives must be explored. Generally, diverse germplasms are expected to give high hybrid vigor and hence, it necessitates studying genetic divergence among the existing varieties and genotypes for the identification of parents for hybridization programme. Methods: The present investigation was undertaken to study genetic variability in clusterbean [Cymopsis tetragonaloba (L.) Taub] with using a set of 40 genotypes at Agronomy Instructional Farm, Department of Agronomy, Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar during Kharif 2019 in randomized block design with four replications. Mahalanobis (1928) D2 statistic was used for assessing the genetic divergence between different populations. Grouping of the genotypes in different clusters was done by using Tocher’s method. The inter-cluster distance was calculated by measuring the distance between clusters I and cluster II, between clusters I and cluster III, between clusters II and cluster III and so on. Likewise, one by one cluster was taken and their distances from other clusters were calculated. Result: The genetic diversity analysis revealed the formation of nine clusters suggested the presence of considerable genetic diversity among the 40 genotypes. The clustering pattern indicated that geographic diversity was not associated with genetic diversity. The analysis of per cent contribution of various characters towards the expression of total genetic divergence indicated that, the number of branches per plant followed by gum content, days to maturity, days to flowering contributed maximum towards total genetic divergence. On the basis of inter cluster distances, cluster IX was found to be more divergent. Therefore, it was concluded that the genotypes belonging to these cluster should be inter crossed in order to generate more variability.

Sign in / Sign up

Export Citation Format

Share Document