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 . ◽  
...  

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.

Author(s):  
Mohd Aslam Dar ◽  
Noor-Ul-Saleem Khuroo ◽  
Reyaz-Ul-Rouf Mir ◽  
Zahoor Ahmad Dar ◽  
Parvaze Ahmad Sofi ◽  
...  

Genetic diversity study was conducted in 38 chickpea (Cicer arietinum L.) genotypes using Mahalanobis D2 Statistics. The current research performed at FoA, Wadura Sopore, SKUAST-Kashmir in the rabi 2017-18. In the present study, total seven clusters have been formed and range of D2 values is from 301.78 to 8477.71, cluster II includes maximum 12 genotypes after that cluster I having 9 genotypes, cluster IV having 6 genotypes, cluster Ⅲ and Ⅴ having 4 genotypes, cluster Ⅵ having 2 genotypes and cluster Ⅶ with 1 genotype. 959.33 to 8477.71 is the range of inter cluster distance. Highest inter cluster distance (8477.71) was found between the clusters, Ⅵ and Ⅶ followed by the clusters, Ⅳ and Ⅶ (5814.62), Ⅳ and Ⅴ (5807.441), Ⅴ and Ⅵ (4659.34). The minimum inter-cluster distance (959.33) possessed by clusters, Ⅱ and Ⅲ. After comprehending the intra cluster divergence it has been found that cluster Ⅳ has highest intra cluster distance (637.07) then cluster I (459.16). Since cluster Ⅶ includes only one genotype which indicates that there is no intra cluster divergence. Total nine traits have been evaluated, plant height registered higher divergence (49.25%) then pods plant-1 (36.12%), days to 50% flowering (4.13%) and days to maturity (2.7%), secondary branches plant-1 (3.24%), seed yield plant-1 (1.28%) and primary branches plant-1 (1.14%). The 100-seed weight (1.12%) and seeds pod-1 (1.02%) possesses less divergence. By considering above results the nine genotypes viz., IR-1, IR-3, IR-30, IR-20, IR-21, IR-10, IR-2, IR-7 and IR-31 have been recognized as desired genotypes for use in future breeding programme.


1970 ◽  
Vol 23 (1) ◽  
pp. 9-12 ◽  
Author(s):  
AA Jewel ◽  
AK Chowdhury ◽  
AKMM Alam ◽  
MA Latif ◽  
MM Hassan

Genetic divergence among 22 genotypes of lentil was estimated using D2 and principal component analysis. The genotypes under study fell into four clusters. The intra-cluster value was the maximum in cluster I and the minimum in cluster II. The inter-cluster distance was larger than the intra-cluster distance in all the cases suggesting the wider genetic diversity among the genotypes of different groups. The inter-cluster value indicated maximum distance between cluster I and II than cluster III and IV. Thus the genetically diverged genotypes of the clusters could be used as parent in hybridization program to get desirable genotypes. Cluster I had the highest mean for days to maturity, plant height, pods/plant and per plot yield while cluster II and III had the highest days to first flowering and 100 seed weight, respectively. Genotypes with these characters in respective groups would, therefore, offer a good scope of improvement of lentil through selection.   Key words: Lentil; cluster analysis; divergence; hybridization DOI: http://dx.doi.org/10.3329/bjpbg.v23i1.9312 BJPBG 2010; 23(1): 9-12


Author(s):  
SNCVL Pushpavalli ◽  
C. Sudhakar ◽  
C. Sudha Rani ◽  
R. Raja Rajeswari ◽  
C. Jyothi Rani

The present investigation was carried out using thirty two pigeonpea genotypes during kharif 2013-14 to obtain the knowledge of correlation, path coefficient analysis for the yield components and genetic divergence. The range of GCV was observed from 9.81 to 40.88% for the traits under study which provides information regarding the extent of variability present among the genotypes. Seed yield was significantly and positively correlated with number of secondary branches/plant, pods/plant and 100-seed weight. Path coefficient analysis indicated that number of secondary branches exhibited maximum direct effect followed by number of pods/plant and 100 seed weight. The genotypes were grouped into eight different clusters based on Mahalonobis D2 statistics. Clusters II and III exhibited maximum inter cluster distance of 8.80. Days to 50% flowering contributed to maximum genetic divergence followed by seed yield. Genotypes in cluster III recorded highest mean value for days to maturity, number of secondary branches and seed yield.


Author(s):  
Sanjeev Kumar ◽  
Praveen Singh

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.


2020 ◽  
Vol 23 (2) ◽  
pp. 59-64
Author(s):  
F Akter ◽  
MZ Islam ◽  
A Akter ◽  
SK Debsharma ◽  
A Shama ◽  
...  

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


2019 ◽  
Vol 4 (01) ◽  
pp. 106-109
Author(s):  
Amit Tomar ◽  
D. K. Upadhyay

An experiment involving 45 genotypes/strains of mungbean was conducted during kharif 2018 at University Farm (Crop Cafeteria) of Rani Lakshmi Bai Central Agricultural University (RLBCAU), Jhansi in a Randomized Block Design with three replications. Data were recorded and analyzed for 10 characters viz.; days to 50% flowering, days to maturity, plant height (cm), number of primary branches per plant, number of clusters per plant, number of pods per plant, pod length (cm), number of seeds per pod, 100-seed weight (g) and grain yield per plant (g). All the forty five genotypes were grouped into seven different clusters using D2 statistics. Cluster-I, II, III, IV, V, VI and VII had 8, 5, 4, 5, 13, 2 and 8 genotypes, respectively. The greatest inter cluster distance (297.39) was between cluster-II and cluster-V.


Author(s):  
Sanjeev Kumar ◽  
Praveen Singh ◽  
Magdeshwar Sharma

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.


Author(s):  
Renuka Shivwanshi ◽  
Anita Babbar

A total of 434 germplasm lines of chickpea were assessed for 13 quantitative traits during rabi 2015-16 at JNKVV, Jabalpur. Genotypes were grouped into fourteen clusters. Clusters II and cluster XIV and cluster XII and cluster XIV, had maximum inter cluster distance. The characters viz.,effective pods per plant followed by biological yield per plant, plant height and 100-seed weight were main contribution to total divergence. Cluster XIV and cluster XIII had highest mean values for maximum number of characters. Based on the result IC 83812, EC 198729, EC 490027, IC 53245, IC 83827and IC 83889 are recommended for hybridization, as these genotypes showed good per se performance for seed yield and belong to the highly diverse clusters.


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):  
M. Sen ◽  
D. K. De

The present study was undertaken to provide information on the nature and magnitude of genetic diversity among 30 mung bean genotypes for yield traits by using Mahalanobis’s D2 statistics. Thirty genotypes could be grouped in 6 clusters, cluster VI showed maximum intra-cluster distance while the highest inter-cluster distance was observed between cluster III and VI. Cluster II recorded highest means for seeds per pod, 100 seed weight, seed yield per plant and shelling %. The percent contribution towards genetic diversity was highest for shelling percentage (17.70) followed by seed yield per plant (16.55) and number of clusters per plant (14.71). 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 yielding mung bean varieties. Five genotypes viz., PDM-11, TARM-2, TM-98-50, PDM 54 and Basanti could be identified as most useful in the future breeding programme.


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