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PARIMALA and THANGAVEL ability analysis of four methods of Griffing’s (1956) numerical approach viz., method 1 (M1), method 2 (M2), method 3 (M3) and method 4 (M4) and by partial diallel cross (PDC) design (Kempthorne and Curnow 1961). For partial diallel cross analysis, a sample size of three crosses was used and the crosses (ns/ 2=9) were sampled following circulant matrix design. The error means for squares of respective RCBD were used further in combining ability analysis. RESULTS AND DISCUSSION The magnitude of variances due to general combing ability variance (GCA) and specific combaining ability variance (SCA) were found to vary with the method of analysis (Table-1). However, the overall GCA / SCA variance ratio did not vary much for all the characters studied. This indicated preponderance of non-additive component of gene action across the methods of estimation. Results of all the four methods were complementary to each other and not alternative. The correlation coefficients between per se performance and gca effects estimated through different methods were computed and compared (Table 2). The per se performance had the significant and highest magnitude of correlation coefficients with gca effects computed through M2 method followed by M1. Further, correlation coefficients between the gca effects estimated through M2 v/s M4 and M1 v/s M3 were of high magnitude and hence, were comparable. In Partial Diallel Cross, correlation coefficient showed significant gca effects in M4. The rank correlation coefficients reflected that rankings of the lines differed with respect to the method of combining ability analysis. Strong correlations between ranks of lines based on per se performance v/s gca effects estimated through M2 method followed by M4 method were observed for all the characters studied. The rankings of lines based on gca effects computed through M1 method were significant and highly correlated compared with M3 method. The correlation coefficients between per se performance and sca effects estimated through four approaches of Griffing were computed and compared (Table 3). The per se performance had significant and highest magnitude of correlation coefficients with sca effects computed through M2 method followed by M1 method. Further, correlation coefficients among sca effects estimated through four approaches revealed that the association between sca effects estimated through M2 v/s M4 and M1 v/s M3 methods were of high magnitude and hence, were comparable. Correlation coefficients estimated through M1 and M2 methods showed highly significant values compared with M3 and M4. The rank correlations computed between ranks based on sca effects estimated through M2 method followed by M4 methods correlated with the ranks based on per se performance of the direct crosses. Rank correlation coefficients estimated through M1 and M2 methods showed highly significant values compared with M3 and M4. The association between per se performance of reciprocal crosses and rca effects calculated (Table 4) through M1 or M3 methods of Griffing (1956) were of low magnitude.The correlation coefficient estimated through M1 method showed high significant effects than M3 method. Further, the mutual association between rca effects computed through M1 and M3 methods, was of low magnitude. This indicated significant differences for rca effects computed through two methods. The rank correlation coefficient analysis also depicted the similar results. The results of present study clearly suggest that ; a breeder is required to study full diallel. To know the real genetic worthiness of the test material, the sampling of crosses in partial diallel cross analysis has given variable picture when compared to full or other diallel approaches. 38
COMPARISON OF DIFFERENT DIALLEL MATING DESIGNS IN SESAME Table 1. Combining ability variances estimated through four methods of Griffing’s numerical approach and partial diallel analysis in sesame Character Days to first flowering Number of capsules / plant 1000 – seed weight Seed yield / plant Variances Griffing’s method Partial M1 M2 M3 M4 diallel cross analysis GCA 1.60 2.45 524.12 0.74 45.26 SCA 11.34 8.07 2110.53 9.55 0.90 GCA/SCA 0.14 0.30 0.25 0.08 50.16 GCA 18.51 53.75 1135.55 79.57 35.77 SCA 127.43 236.55 468.50 194.39 128.24 GCA/SCA 0.15 0.23 0.24 0.41 0.28 GCA 0.01 0.003 3.21 0.01 0.003 SCA 0.01 0.02 12.84 0.02 0.01 GCA/SCA 0.76 0.14 0.25 0.25 0.29 GCA 0.31 0.66 13.37 1.04 0.96 SCA 2.01 4.19 56.71 4.03 1.85 GCA/SCA 0.15 0.16 0.24 0.26 0.52 39
Page 1 and 2: J.Res. ANGRAU 39(1&2)1-5, 2011 CHAR
Page 3 and 4: CHARACTERIZATION AND CLASSIFICATION
Page 5 and 6: CHARACTERIZATION AND CLASSIFICATION
Page 7 and 8: SCREENING OF YEAST ISOLATES AND PRO
Page 9 and 10: SCREENING OF YEAST ISOLATES AND PRO
Page 11 and 12: EFFECT OF WEED MANAGEMENT PRACTICES
Page 13 and 14: EFFECT OF WEED MANAGEMENT PRACTICES
Page 15 and 16: RESPONSE OF LOW LAND RICE TO SOURCE
Page 21 and 22: HETEROSIS FOR YIELD AND YIELD ATTRI
Page 23 and 24: HETEROSIS FOR YIELD AND YIELD ATTRI
Page 25 and 26: J.Res. ANGRAU 39(1&2)25-27, 2011 IN
Page 27 and 28: INHERITANCE OF RESISTANCE TO FUSARI
Page 29 and 30: COMBINING ABILITY ANALYSIS FOR YIEL
Page 35 and 36: SURVEY ON LEVEL OF AFLATOXIN CONTAM
Page 37: J.Res. ANGRAU 39(1&2)37-42, 2011 CO
Page 41 and 42: COMPARISION OF DIFFERENT DIALLEL MA
Page 43 and 44: J.Res. ANGRAU 39(1&2)43-47, 2011 GL
Page 45 and 46: GLYCAEMIC INDEX AND GLYCAEMIC LOAD
Page 47 and 48: GLYCAEMIC INDEX AND GLYCAEMIC LOAD
Page 49 and 50: ASSESSMENT OF VARIABILITY AND CAUSE
Page 51 and 52: ASSESSMENT OF VARIABILITY AND CAUSE
Page 53 and 54: Research Note J.Res. ANGRAU 39(1&2)
Page 55 and 56: FARMERS PERCEPTION TOWARDS UNDERSTA
Page 57 and 58: FARMERS PERCEPTION TOWARDS UNDERSTA
Page 59 and 60: KASTHURI et. al. REFERENCES Arbad,
Page 61 and 62: INTEGRATED APPROACH FOR WEED CONTRO
Page 63 and 64: INTEGRATED APPROACH FOR WEED CONTRO
Page 65 and 66: STUDIES ON EFFECT OF ORGANIC AGRICU
Page 67 and 68: STUDIES ON EFFECT OF ORGANIC AGRICU
Page 71 and 72: INTEGRATED NITROGEN MANAGEMENT IN A
Page 73 and 74: S.No. Profile Frequency Percentage
Page 75 and 76: ENTERPRISES TAKEN UP BY THE WOMEN E
Page 77 and 78: ENTERPRISES TAKEN UP BY THE WOMEN E
Page 81 and 82: STRESS OF ASSISTANT PROFESSORS IN A
Page 83 and 84: MANAGEMENT OF CHROZOPHORA ROTTLERI
Page 85 and 86: ABSTRACTS inoculated wit 10 8 spore
Page 87 and 88: ABSTRACTS Genetic divergence in Ses
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ABSTRACTS The path analysis indicat
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ABSTRACTS variability, heritability
Page 93 and 94:
ABSTRACTS “Reaction of Urdbean [V
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ABSTRACTS The pupal period varied f
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CONTENTS PART 1 : PLANT SCIENCE Cha
Page 99 and 100:
The Journal of Research ANGRAU (Pub
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Statement about ownership and other
Page 103 and 104:
GUIDELINES FOR THE PREPARATION OF M
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2 2 2 N The original research artic
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