The Journal of Research ANGRAU

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Research Notes J.Res. ANGRAU 41(1) 79-82, 2013 GENETIC DIVERGENCE IN BRINJAL (Solanum melongena L.) BALAJI LOKESH, P.SURYANARAYANA REDDY, R.V.S.K.REDDY and N.SIVARAJ Vegetable Research Station, A.R.I, Rajendranagar, Hyderabad-500030 Date of Receipt : 07.12.2012 Date of Acceptance : 25.01.2013 The study was conducted at Vegetable Research Station, Agricultural Research Institute, Rajendranagar, Hyderabad,during rabi season of 2008-09. Sixty genotypes of Brinjal collected from various agro-climatic regions of India by N.B.P.G.R Regional station, Hyderabad were evaluated in a Randomized Block Design with two replications for fourteen quantitative characters. The mean data were analyzed following standard statistical techniques with the objective of studying the nature and magnitude of genetic diversity available in the germplasm. Genetic diversity is an important factor for any heritable improvement. Knowledge of genetic diversity is useful for selecting desirable genotypes from a germplasm for the successful breeding programme. The genetic divergence between genotypes was estimated using Mahalanobis D 2 statistic (1936). In the present investigation, The D 2 value was used for the final grouping of the genotypes into eight distinct clusters as presented in Table 1. Cluster V was the largest cluster consisting of 15 genotypes while cluster VIII consisted of single genotype i.e, MR/04-26. The mean inter and intra cluster D and D 2 values (Table 2) suggest that the genotypes within a cluster are less divergent than those of different clusters. The intra cluster and inter cluster D 2 values ranged from 714.92 to 2452.22 and 2339.92 to 35995.80 respectively. Lowest inter cluster D 2 value was recorded between cluster I and II (2339.92) indicating close relationship and similarity for most of the characters of the genotypes. Highest inter cluster D 2 value was recorded between clusters III and VIII (35995.80) indicating wider genetic diversity among genotypes in these groups. The percentage contribution of each character towards divergence in Brinjal is presented in Table 3.Highest contribution towards divergence was put forth by average fruit weight (44.12%) followed by plant spread(43.62%), average fruit length (4.52%), number of branches per plant (2.71%), number of flower clusters per plant (2.03%) and average fruit diameter (1.41%) respectively. This suggest that in order to select genotypes for hybridization, the material should be screened for important traits like average fruit weight, plant spread, average fruit length, number of branches per plant, number of flower clusters per plant and average fruit diameter. Similar results were reported by Satesh Kumar et al. (2007). The mean performance of genotypes of clusters is presented in the Table 4. In calculation of cluster means, the superiority of a particular genotype with respect to a given character gets diluted by other related genotypes that are grouped in the same cluster which are inferior or intermediary for that character in question. Hence, apart from selecting genotypes from the clusters which have high intercluster distance for hybridization, it is also desirable to have selection of parents based on extent of genetic divergence with respect to a particular character of interest. On the basis of the mean performance of the characters in each cluster, the following genotypes were identified as superior for further genetic studies. The genotypes IC-111431 and IC-203593 were regarded as superior for number of flower clusters per plant. MR/04-26 was superior for days to 50% flowering, average fruit weight, shoot and fruit borer incidence on fruit and fruit yield per plant.IC-111352 and IC-111428 were regarded as superior for number of fruits per cluster.IC-13601 and PSR-11883 were regarded as superior for number of fruits per plant. Similar genetic divergence studies on Brinjal in India have been carried out by many researchers (Bansal and Mehta 2007, Sherly and Shanthi 2007, Nandan Mehta and Mayuri Sahu 2009). email: balajilokesh4@gmail.com 84
LOKESH et al Table 1. Clustering pattern of 60 germplasm accessions of Brinjal on the basis of Mahalanobis D 2 statistics Cluster No of genotypes Genotypes I 5 IC-089876-B,IC-111384,IC-111431,IC-111468,IC-203593 II 11 IC-104086,IC-345309,IC-89910,PSR-11836,IC-13637, IC-111461-B,IC-111308,AR04-131,IC-111317, IC-345255,IC-135056 III 5 IC-245335,DBT/OR-37,MR/04-02,PSR 11773,MR/04-81 IV 11 IC-13601,IC-135920,IC-90930,IC-256208,IC-137751, PSR-11883,IC-111086,IC-136280,IC-127024,AR/04-132,IC-111071 V 15 IC-111352,IC-111356,IC-383119,PSR-11891,IC-99649, IC-256150,IC-90767,IC-111444,IC-111074,IC-112851, IC-111428,IC-089905,IC-112755,MR/04-94,IC-136278 VI 8 IC-136006,IC-136245,IC-135934,IC-136088, IC-104086,AR/04-145,MR/04-88,IC-90087 VII 4 IC-135955,IC-74204,AR/04-477,IC-11404 VIII 1 MR/04-26 Table 2. Average intra and inter cluster D 2 and D values for eight clusters in 60 germplasm accessions of Brinjal Cluster I II III IV V VI VII VIII I 714.92 2339.92 6693.23 6998.93 3349.35 8799.52 4568.94 32737.66 (26.73) (48.37) (81.81) (83.65) (57.87) (93.80) (67.59) (180.93) II 1414.06 3047.26 5279.60 3970.72 10954.37 8873.22 31216.35 (37.60) (55.20) (72.66) (63.01) (104.66) (94.19) (176.68) III 2452.22 7563.46 8260.76 17611.32 16941.25 35995.80 (49.51) (86.96) (90.88) (132.70) (130.15) (189.72) IV 1937.25 3064.44 5211.95 8650.18 14041.89 (44.01) (55.35) (72.19) (93.00) (118.49) V 1701.21 3914.04 3986.40 18843.24 (41.24) (62.56) (63.13) (137.27) VI 1451.12 (38.09) 3899.03 (62.44) 10777.12 (103.81) VII 1299.78 (36.05) 23498.27 (153.29) VIII 0.00 (0.00) The figures in the parenthesis are D values 85
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CONTENTS PART I : PLANT SCIENCE Eff
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J.Res. ANGRAU 41(1) 1-4, 2013 EFFEC
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EFFECT OF FOLIAR APPLICATION OF NPK
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J.Res. ANGRAU 41(1) 5-13, 2013 NUTR
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NUTRIENT UPTAKE BY RICE CROP UNDER
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LAKSHMI et al Fig 1. Changes in C/N
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LAKSHMI et al Changes in C/N ratio
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LAKSHMI et al Table 3. Changes in h
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J.Res. ANGRAU 41(1) 20-29, 2013 INF
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PRASAD and PRASADINI of bulk densit
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PRASAD and PRASADINI to as high as
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PRASAD and PRASADINI Table 4 . Infl
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Page 37 and 38: VEMANNA et al The range in mean val
Page 39 and 40: VEMANNA et al grain yield per plant
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Page 43 and 44: VEMANNA et al Singh, S. P and Khan,
Page 45 and 46: RAMANA et al RESULTS AND DISCUSSION
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Page 49 and 50: RAJANNA et. al. Table 2. Reasons fo
Page 51 and 52: RAJANNA et al the present findings
Page 53 and 54: NARASIMHA et al Table 1. Proximate
Page 55 and 56: NARASIMHA et al Maynard, L., Lossli
Page 57 and 58: RAMANA et al with small follicles m
Page 59 and 60: RAMANA et al Characteristics of fol
Page 61 and 62: Research Notes J.Res. ANGRAU 41(1)
Page 63 and 64: KIRTHY et al Akhtar et al., 2008; S
Page 65 and 66: KIRTHY et al El Gharras H. 2009. Po
Page 67 and 68: SANDYARANI et al Weed parameters li
Page 69 and 70: SANDYARANI et al Table 2. Influence
Page 73 and 74: KUMAR et al Table 2. Effect of seed
Page 77 and 78: DEEPAK et al Table 2 Price spread a
Page 81 and 82: YAMINI et al Table 3. Estimates of
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Page 87 and 88: LOKESH et al Table 4. Mean values o
Page 89 and 90: ABIRAMI et al Socio-economic Impact
Page 91 and 92: ABIRAMI et al socio-economic impact
Page 95 and 96: VEMANNA et al Table 1. Discriminant
Page 97 and 98: VEMANNA et al total biomass, fresh
Page 99 and 100: RAO et al Table 1. Plant height, nu
Page 103 and 104: DEVI et al S.No Category Frequency
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Page 107 and 108: NIRMALA and VASANTHA earliness in a
Page 109 and 110: NIRMALA and VASANTHA adopted this t
Page 111 and 112: SUDHARANI et al Table 1. Genotypic
Page 113 and 114: SUDHARANI et al At genotypic level,
Page 115 and 116: NIRMALA et al weight of pods per pl
Page 117 and 118: NIRMALA et al Table 3. Cluster mean
Page 123 and 124: PUNYAVATHI and VIJAYALAKSHMI 6.5 6.
Page 125 and 126: PUNYAVATHI and VIJAYALAKSHMI REFERE
Page 127 and 128: KATTEL et al Table 1. Item Analysis
Page 131 and 132: RADHIKA et al Thus, the results of
Page 133 and 134: RAJU et al estimated daily dietary
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RAJU et al Table 3. Physico-chemica
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MINNIE et al Table 2. Estimates of
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Statement about ownership and other
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GUIDELINES FOR THE PREPARATION OF M
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ESSENTIAL REQUIREMENTS FOR CONSIDER
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