Genetic divergence and stability (AMMI) study in chickpea (Cicer aeritinum L.) under north western Himalayas of Jammu and Kashmir, India

2016 ◽  
Author(s):  
Sanjeev Kumar ◽  
Praveen Singh ◽  
Magdeshwar Sharma
Keyword(s):  
Genetic Diversity ◽  
Mean Value ◽  
Western Himalayas ◽  
Jammu And Kashmir ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Breeding Programmes ◽  
Ammi Model ◽  
High Yielding Varieties ◽  
North Western

Genetic diversity of seventeen chickpea genotypes was studied through Mahalanobis D2, Tocher’s Method. The genotypes under study fall into five clusters. The cluster- IInd contained the highest number of genotypes (08) and Cluster IV and V contained the lowest (01). Cluster- II produced the highest mean value for days to maturity. 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-IV and V. The highest inter-cluster distance was observed between cluster-III and V while the lowest was between cluster-I and IV. Considering all the characters, it is suggested that the genotypes 81-0-800, C-306, 96907, C-235 and SCS-3 could be used as parents for future breeding programmes to develop high yielding varieties of chickpea. As per AMMI model, two genotypes i.e. C-81 and 96911 were identified as having wider adaptability along with higher seed yield per plant.

Stability by additive main multiplicative interaction (AMMI) model and genetic diversity studies in micro and macro-sperma Lentil (Lens culinaris L.) in mid hills of Jammu and Kashmir, India

2016 ◽  
Author(s):  
Sanjeev Kumar ◽  
Praveen Singh
Keyword(s):  
Genetic Diversity ◽  
Lens Culinaris ◽  
Mean Value ◽  
Jammu And Kashmir ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Ammi Model ◽  
Diversity Studies ◽  
Pod Length ◽  
100 Seed Weight

The present investigation was aimed at ascertaining the nature and magnitude of genetic diversity among a set of 12 lentil genotypes through Mahalanobis D2 Method. The genotypes under study fall into four clusters. The cluster-I contained the highest number of genotypes (05) followed by cluster-III (03) and Cluster-II and IV each contained the lowest (02). Cluster-II produced the highest mean value for days to maturity and cluster-I exhibited minimum mean value for pod length (0.64). The inter-cluster distances were much higher than the intra-cluster distances. Members of cluster -III and IV were highly diverse from each other as these clusters showed maximum inter-cluster distance. Cluster-IV exhibited the highest intra-cluster distance while the lowest distance was observed in cluster-I. The highest inter-cluster distance was observed between cluster-III and IV while the lowest was between cluster-I and III. The trait pod length (33.33%) contributed maximum for genetic diversity followed by seed yield /plant (27.27%), 100 seed weight (21.21%) and days to maturity (10.61%). Therefore these characters contributed maximum for getting the genetic diversity.

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 diversity analysis and identification of promising lines for hybridization in Chickpea (Cicer arietinum L.)

2018 ◽  
Vol 5 (04) ◽  
Author(s):  
ANAND KUMAR ◽  
SADIA PERWEEN ◽  
MANOJ KUMAR ◽  
SANJEEV KUMAR ◽  
SATYENDRA . ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Seed Weight ◽  
Mean Value ◽  
Yield Potential ◽  
Quantitative Characters ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Total Divergence ◽  
100 Seed Weight

Forty genotypes of chickpea were evaluated for assessing genetic divergence for different quantitative characters for improving yield potential of chickpea by using Mahalanobis D2 statistics. The genotypes were grouped into seven clusters suggesting considerable amount of genetic diversity in the material. The intra-cluster D2 value ranged from 0.00 to 9.06 while, intercluster D2 value ranged from 4.07 to 55.71. The maximum intra cluster distance was exhibited by cluster V followed by cluster II and cluster I. Cluster III had mono- genotype and emerged with contained highest cluster mean value grain yield per plot. Cluster II has highest mean value for number of pods per plant and lowest mean value for days to 50% flowering, days to maturity and plant height. Maximum contribution toward the total divergence was exhibited by 100-seed weight followed by number of pods per plant and minimum by days to maturity. Cluster IV and VI showing maximum inter cluster distance and crossing of genotypes Sabour chana-1 (BRC-1), GCP 105, PBC 503, DC 16-2, NBeG 776, RVSSG 42, G2016-43, GL 14042, IPC 2013-21, GNG 2338, GNG 2375 and KWR 108 from cluster VI suggested for improving grain yield per plot, 100-seed weight and earliness in flowering and ultimately enhancing the yield and chances of getting better recombinants in segregating generations.

scholarly journals Genetic diversity analysis of parental lines for hybrid development in rice (Oryza sativa L.)

2013 ◽  
Vol 37 (4) ◽  
pp. 617-624 ◽  
Author(s):  
MJ Hasan ◽  
Umma Kulsum ◽  
MMH Rahman ◽  
MMH Chowdhury ◽  
AZMKA Chowdhury
Keyword(s):  
Genetic Diversity ◽  
Oryza Sativa L ◽  
Principal Component ◽  
Mean Value ◽  
Cluster Distance ◽  
Parental Lines ◽  
Almost All ◽  
Yield Maximization ◽  
Hybrid Development ◽  
Panicle Weight

Genetic divergence of 40 parental lines comprising 30 restorer and 10 maintainer lines were studied through Mohalanobis's D2 and principal component analysis for eleven characters. Genotypes were grouped into five different clusters. Cluster V comprised maximum number of genotypes (thirteen) followed by cluster I and II. The inter-cluster distance was maximum between clusters I and V (13.495) indicating wide genetic diversity between these two clusters followed by the distance between cluster I and 11 (9.489), cluster IV, and cluster V (8.969) and cluster I and cluster III (8.039). The minimum inter-cluster distance was observed between cluster II and cluster III (3.034) followed by cluster 111 and cluster IV (3.834) and cluster II and cluster V (4.945) indicating that the genotypes of these clusters were genetically close. The intra cluster distance in the entire five clusters was more or less low which indicated that the genotypes within the same cluster were closely related. Among the characters panicle weight contributed most for divergence in the studied parental lines. Difference in cluster means existed for almost all the characters studied. Highest mean value for number of effective tillers (7.8), days to 50% flowering (95.5), panicles/m2 (192.6), panicle weight (2.9), spikelet fertility (84.8), number of grains/panicle (177.8), days to maturity (123.6), and grain yield/plot (1065.5) were observed in cluster I indicated the parental lines fallen in this cluster having the genetic potentiality to contribute better for yield maximization of hybrid rice. DOI: http://dx.doi.org/10.3329/bjar.v37i4.14386 Bangladesh J. Agril. Res. 37(4): 617-624, December 2012

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 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 On the occurrence of three new Lycaenid butterflies (Lepidoptera) from Jammu and Kashmir, India

2021 ◽  
Vol 47 (2) ◽  
pp. 231-235
Author(s):  
Neeraj Sharma ◽  
Shakha Sharma
Keyword(s):  
Butterfly Species ◽  
Western Himalayas ◽  
Present Communication ◽  
Jammu And Kashmir ◽  
Range Distribution ◽  
Mountainous Watershed ◽  
First Time ◽  
North Western ◽  
Union Territory

The present communication deals with three butterfly species belonging to family Lycaenidae and subfamily Theclinae, recorded for the first time from different localities in a mountainous watershed in the Union Territory of Jammu and Kashmir during 2020. These include Esakiozephyrus icana, Spindasis ictis and Tajuria jehana. The information on their current extent and known occurrence will be helpful in updating the range distribution of butterflies in north-western Himalayas.

scholarly journals On the rediscovery and new additions of Skippers (Lepidoptera: Papilionoidea: Hesperiidae) from Jammu and Kashmir, India

2020 ◽  
Vol 46 (4) ◽  
pp. 591-599
Author(s):  
Shakha Sharma ◽  
Neeraj Sharma
Keyword(s):  
Western Himalayas ◽  
Present Communication ◽  
Jammu And Kashmir ◽  
Range Distribution ◽  
First Time ◽  
North Western ◽  
Union Territory

The present communication deals with eight species of Hesperiidae recorded for the first time from different localities in the Union Territory of Jammu and Kashmir during 2018 to 2020. These include Burara oedipodea belesis, Matapa aria, Erionota torus, Udaspes folus, Coladenia indrani indrani, Tagiades cohaerens cynthia, Celaenorrhinus dhanada and Pseudocoladenia fatih. The information on the current extant and their known distribution till now has been given along with the photographs. These records will be helpful in updating the range distribution of butterflies in north western Himalayas.

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