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

Author(s):  
Dhiraj Bhandari ◽  
Anita Singh

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.

2017 ◽  
Vol 2 (01) ◽  
pp. 60-63
Author(s):  
V. P. Rahul ◽  
Bharat Bhushan ◽  
Ravi Kumar ◽  
Ram Krishna

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.


Author(s):  
Anuj Kumar ◽  
D. K. Dwivedi ◽  
Pradeep K. Bharti ◽  
Shivani . ◽  
Preeti Kumari ◽  
...  

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


Author(s):  
Priyanka Jaiswal ◽  
. Banshidhar ◽  
. Banshidhar ◽  
Dan Singh Jakhar ◽  
Rajesh Singh

Thirty biofortified inbred lines of maize were evaluated for 11 parameters to study the genetic diversity by using D2 statistics during kharif 2017in Randomized Block Design (RBD) with three replications at Agricultural Research farm, Institute of Agricultural Sciences, BHU Varanasi. In present investigation all genotypes were grouped into ten cluster. Among the different clusters of inbred lines, the cluster II with 8 inbreds emerged as the largest cluster. The intra cluster D2 value ranged from 10.82 to 44.89. The maximum intra cluster distance was observed for cluster X (D2 = 44.89). The maximum inter cluster distance was observed between cluster V and VI (D2 = 180.90) followed by cluster V and VII (D2 = 166.10), cluster IV and V (D2 = 155.60), cluster V and VIII (D2 = 135.02) and cluster I and VI (D2 = 127.66). The maximum contribution towards divergence was due to 100 seed weight (52.18%), thus, estimates of variation in seed weight could be used as a basis for selection of distantly related parents. Highest mean value for grain yield per plant (80.8) and Zn concentration (39.53) were observed in cluster IV, while the highest mean value for 100 seed weight was found in cluster V. Therefore, these clusters prove to be of prime importance for selection of parents in hybridization programme aimed at higher yield along with enhanced grain Zn concentration.


Author(s):  
Mahendra Kumar Yadav ◽  
G. C. Yadav ◽  
Nishakant Maurya ◽  
Bankey Lal ◽  
Vipul Pratap Singh ◽  
...  

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.


1970 ◽  
Vol 23 (1) ◽  
pp. 45-49
Author(s):  
MA Zaman ◽  
M Tuhina-Khatun ◽  
M Moniruzzaman ◽  
MN Yousuf

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


Author(s):  
Desai Tarjani B. ◽  
Madhu Bala ◽  
R.K. Patel

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.


2017 ◽  
Vol 41 (4) ◽  
pp. 390-401
Author(s):  
Rodrigo Ramos Lopes ◽  
Lucia Brandão Franke ◽  
Cléber Henrique Lopes de Souza ◽  
Patrícia Bertoncelli ◽  
Larissa Arnhold Graminho

ABSTRACT The use of genetic divergence as a basis for identifying superior individuals, with greater heterozygosity, is important in view of the difficulty when selecting of dissimilar genotypes exhibiting high average for interest traits. The aim of this study was to evaluate the genetic divergence and the expression of seed production traits in seventeen apomictic Paspalum plicatulum × Paspalum guenoarum hybrids and two male parents (P. guenoarum). A randomized block design was used, with genotypes individually arranged into ten blocks. The following traits were assessed: total number of tillers/plant (TT), reproductive tiller/plant (RT), number of racemes per inflorescence (NRI), reproductive tiller height (RTH), inflorescence rachis length (IRL), number of seeds/inflorescence (NSI), weight of a thousand seeds (WTS) and seed production (SP). Genetic divergence among the genotypes was estimated using the Tocher method and UPGMA clustering, based on the generalized Mahalanobis distance (D2 ii’). The Tocher and UPGMA optimization methods showed high concordance. The traits that most contributed to genetic divergence were RTH (23.59%), IRL (21.63%), WTS (16.67%) and SP (14.23%). The presence of genetic diversity made it possible to identify divergent genotypes and those with high means for the traits studied, allowing the selection of genotypes with significant breeding potential. Repeated cross-breeding of female superior plants with the genotypes Azulão and H20 can result in a high heterosis effect on seed production characteristics.


Author(s):  
Hina M. Makwana ◽  
P.R. Patel ◽  
D.G. Patel

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.


Author(s):  
Ranju Kumari ◽  
A. K. Singh ◽  
V. K. Sharma

The present investigation was carried out with an objective to study genetic divergence based on morpho-agronomical traits and isozyme pattern in eight maize inbreds. These inbreds were evaluated in randomized block design with three replication for ten morph-agronomical traits. Horizontal starch gel electrophoresis technique used to study the isozyme polymorphism in different tissues of eight inbreds. Analysis of variance revealed significant differences among the inbreds for all the ten morpho-agronomical traits. Nature and extent of genetic divergence for morpho-agronomical traits was measured using average taxonomic distances as a measure of dissimilarity coefficient. Eight inbreds were clustered into four groups (A, B, C, D) based on dissimilarity coefficient. Cluster B and cluster D showed the highest inter cluster distance (2.2422) and the lowest was observed between clusters B and C (1.0401). Cluster A exhibited the highest intra cluster distance (0.8519). Based on inter cluster distances inbreds present in cluster B and D were found more diverse  consisted of inbred CML 186 and CM 600 respectively. Six isozyme systems were used for characterization and divergence studies based on similarity coefficients. Inbreds were classified into six clusters (A, B, C, D, E and F). The lowest (0.5957) similarity coefficient exist between inbreds CM 600 and CML 176 and the highest (0.8132) existed between inbreds CML 186 and CML 144. Cluster analysis in both cases reflected the moderate level of genetic divergence among the inbred lines but result may not be completely similar, but somewhat distinct and complementary in nature. Isozyme patterns was found to effective in revealing the nature of relationship among the inbred lines Therefore, divergence study using one estimate can’t replace the need to evaluate the relationship on the basis of the other which may be to used as parents in hybridization programme.


REVISTA FIMCA ◽  
2018 ◽  
Vol 5 (2) ◽  
pp. 28-31
Author(s):  
Darlan Darlan Sanches Barbosa Alves ◽  
Victor Mouzinho Spinelli ◽  
Marcos Santana Moraes ◽  
Carolina Augusto De Souza ◽  
Rodrigo da Silva Ribeiro ◽  
...  

Introdução: O estado de Rondônia se destaca como tradicional produtor de café, sendo o segundo maior produtor brasileiro de C. canephora. No melhoramento genético de C. canephora, a seleção de plantas de elevada peneira média está associada à bebida de qualidade superior. Objetivos: O objetivo desse estudo foi avaliar a variabilidade genética de clones de C. canephora para o tamanho dos grãos, mensurado a partir da avaliação da peneira média (PM). Materiais e Métodos: Para isso, foi conduzido ao longo de dois anos agrícolas experimento no campo experimental da Embrapa no município de Ouro Preto do Oeste-RO, para a avaliação da peneira média de 130 genótipos (clones) com características das variedades botânicas Conilon, Robusta e híbridos intervarietais. O delineamento experimental utilizado foi de blocos ao acaso, com quatro repetições de quatro plantas por parcela. Resultados: Não houve resultados significativos para a interação clones X anos, indicando uma maior consistência no comportamento das plantas ao longo do tempo. Porém foram observadas diferenças significativas para o tamanho dos grãos entre os genótipos avaliados, possibilitando selecionar genótipos superiores. Conclusão: Os genótipos agruparam-se em cinco classes de acordo com o teste de média, subsidiando a caracterização de um gradiente de variabilidade da característica avaliada ABSTRACTIntroduction: Coffea canephora accounts for approximately 35% of the world's coffee production. The state of Rondônia stands out as a traditional coffee producer, being the second largest Brazilian producer of C. canephora. In the classical genetic improvement of C. anephora, the selection of plants of high average sieve is associated with a drink of superior quality. Objectives: The objective of this udy was to evaluate the genetic variability of Coffea canephora clones for the agronomic medium sieve (PM). Materials and Methods: The experiment was conducted in the experimental field of Embrapa, municipality of OuroPreto do Oeste-RO, located at coordinates 10º44'53 "S and 62º12'57". One hundred thirty genotypes (clones) of botanical characteristics Conilon, Robusta and intervarietal hybrids were evaluated in the agricultural years 2013-2014 and 2014-2015. The experimental design was a randomized block design with four blocks and four plants per plot, spacing 3.5 x 1.5 meters between plants. Results: Significant difference was found for the grain size. According to the F test, at 5% probability, the genotypes were grouped into five classes according to the mean test. Conclusion: The results obtained subsidized the characterization of a variability gradient of the evaluated trait.


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