The Journal of Research ANGRAU

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GENE ACTION AND COMBINING ABILITY STUDIES IN CHICKPEA S. No. Character gca (df=6) sca (df=21) error (df=54) ² gca ² sca ² gca / ² sca 1 Days to 50% flowering 40.42 ** 12.15 ** 2.43 4.22 9.72 0.43 0.41 2 Days to maturity 9.49 ** 2.00 ** 0.62 0.99 1.38 0.71 0.50 3 Plant height (cm) 70.00 ** 6.30 ** 1.13 7.65 5.17 1.48 0.71 h 2 4 5 Number of branches per plant Number of pods per plant 37.03 ** 18.75 ** 0.61 4.05 18.14 0.22 0.18 533.32 ** 360.87 ** 1.28 59.12 359.60 0.16 0.25 6 Seed yield per plant (g) 7.16 ** 30.70 ** 0.16 0.78 30.54 0.03 0.05 7 100 seed weight (g) 276.73 ** 20.19 ** 1.35 30.60 18.83 1.62 0.75 * Significant at Pd”0.05, ** Significant at P d”0.01, gca – general combining ability; sca – specific combining ability; s² gca – variance due to gca ; s² sca – variance due to sca. h 2 - heritability in narrow sense Table 2. Estimates of general combining (gca) effects for seven yield attributes in Chickpea S. No. Genotype Character NBeG-3 JG-11 ICCV0 5106 M N K-1 ICCV9 5333 KAK-2 Vihar S.Em of Gi S.Em of Gi-Gj 1 Days to 50 percent Flowering -0.476 -3.03** -2.59 ** 1.97 ** 1.60 ** 0.49 2.04 ** 0.48 0.73 2 Days to maturity -1.00 ** -1.15 ** -0.30 0.85 ** 0.00 -0.185 1.78 ** 0.24 0.37 3 Plant height -2.02 ** -2.75 ** 0.53 4.92 ** 1.91 ** -2.63 ** 0.04 0.33 0.50 4 Number of branches per plant 2.22 ** 2.85 ** -0.01 -3.18 ** -1.08 ** -0.55 * -0.25 0.24 0.37 5 6 7 Number of pods per plant Seed yield per plant 100 seed weight 2.77 ** 12.19 ** 3.16 ** -12.95 ** -3.95 ** -2.22 ** 1.02 ** 0.35 0.53 0.76 ** 0.46 ** -0.71 ** -1.41 ** - 0.56 ** 0.51** 0.96 ** 0.12 0.19 -3.71 ** -6.61 ** -3.34 ** 10.31 ** 3.00 ** -0.38 0.73 * 0.36 0.55 *Significant at Pd” 0.05 , **Significant at Pd”0.01 traits, JG-11 and ICCV 05106 recorded significant desirable negative gca effects for days to 50 per cent flowering, while, NBeG-3 and JG-11 for days to maturity, suggesting that these parents could be good general combiners for breeding for earliness. The high general combining ability for plant height and 100 seed weight was recorded in MNK-1 and ICCV 95333. For seed yield per plant the genotypes viz., NBeG-3, 80
YAMINI et al Table 3. Estimates of specific combining (Sca) effects for seven yield attributes in Chickpea S. No Cross D 50 F DM PH NB/P NP/P SY/P 100 SW 1 NBeG -3 x JG-11 2.56 -1.77* 2.43* 1.81* -11.74** 3.42** 1.64 2 3 NBeG-3 x ICCV05106 2.44 0.71 -0.52 -4.76** 7.15** NBeG-3 x MNK-1 -2.44 -1.77* -0.48 1.68* -4.44** - 4.76** - 11.79** - 3.44** -4.88** 4 NBeG-3 x ICCV 95333 1.26 0.75 -0.84 7.77** 31.99** 5.53** 0.6 5 NBeG-3 x KAK-2 1.37 0.27 -1.19 2.05** 4.32** 0.82* 5.52** 6 NBeG-3 x Vihar -3.85** -1.03 2.31* -0.43 3.64** 7.51** 1.27 7 JG-11 x ICCV 05106 2.67 -0.47 1.14 5.53** 23.63** 5.67** 1.35 8 JG-11 x MNK-1 6.11** 0.05 4.57** 1.04 -0.48 4.66** -2.15* 9 JG-11 x ICCV95333 -3.52* 0.23 -4.83** -2.23** -7.2** -4.38** -4.89** 10 JG-11 x KAK-2 -3.41* -1.25 1.55 2.02** 33.29** 6.1** -1.72 11 JG-11 x Vihar -5.3** -1.55* -0.21 -0.06 30.05** 0.96** -0.77 12 ICCV05106 x MNK-1 -2.33 1.86* 0.93 2.1** -0.36 0.66 1.33 13 ICCV05106 X ICCV 95333 -5.96** 0.05 2.87** 1.13 4.66** 0.06 5.85** 14 ICCV05106 x KAK-2 -2.85* 0.9 -1.57 -3.62** -15.4** -0.21 1.83 15 ICCV05106 x Vihar -2.41 -2.4** -0.3 7.63** 20.86** 8.78** -0.57 16 MNK-1 x ICCV 95333 -0.52 -0.44 0.86 -3.08** 0.66 2.33** 4.77** 17 MNK-1 x KAK-2 -3.41* -0.58 -4.61** 5.78** 11.51** 4.47** -6.82** 18 MNK-1 x Vihar 1.7 -0.55 0.79 -5.53** -8.45** -3.95** 2.37* 19 ICCV95333 x KAK-2 3.3* -1.07 1.6 3.69** 4.04** 4.61** 1.4 20 ICCV 95333 x Vihar 1.74 -0.36 -3.35** 0.59 0.69 -0.64 -2.26* 21 KAK-2 x Vihar 2.85* 0.16 2.92** -4.61** -6.99** 1.42 4.38** S.E of Sii-Sjj 1.64 0.83 1.12 0.82 1.19 0.42 1.23 S.E of Sij-Sik 2.08 1.05 1.42 1.04 1.51 0.53 1.55 S.E of Sij-Skl 1.94 0.98 1.33 0.98 1.41 0.49 1.45 * Significant at Pd” 0.05, ** Significant at Pd” 0.01 D 50 F= Days to 50% flowering, DM= Days to maturity, PH= Plant height, NB/P= Number of branches per plant, NP/P= Number of pods per plant, SY/P= Seed yield per plant, 100 SW=100 seed weight. JG-11 and Vihar exhibits highly significant positive gca effects indicating that they were good general combiners for seed yield. So, these parents can be exploited for the development of improved lines of chickpea, because high gca effects are mostly due to additive gene effect or additive x additive interaction effects which are fixable (Griffing, 1956). The sca effect is an important criterion for the evaluation of hybrids. Among the various gene interactions contributing towards sca, the additive x additive type of gene interaction is fixable in segregating generations in self pollinated crops like chickpea. More over ultimate aim of a plant breeder is to develop potential homozygous lines through hybridization. The cross combinations with significant desirable sca effects along with mean performance and gca effects of the parents are listed in Table 3. JG-11 x Vihar had significant desirable sca effects for seed yield per plant and number of pods per plant 81
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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
Page 29 and 30: PRASAD and PRASADINI to as high as
Page 31 and 32: PRASAD and PRASADINI Table 4 . Infl
Page 33 and 34: PRASAD and PRASADINI Table 8. Influ
Page 35 and 36: J.Res. ANGRAU 41(1) 30-38, 2013 GEN
Page 37 and 38: VEMANNA et al The range in mean val
Page 39 and 40: VEMANNA et al grain yield per plant
Page 41 and 42: VEMANNA et al 41
Page 43 and 44: VEMANNA et al Singh, S. P and Khan,
Page 45 and 46: RAMANA et al RESULTS AND DISCUSSION
Page 47 and 48: J.Res. ANGRAU 41(1) 42-46, 2013 A S
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 79: Research Notes J.Res. ANGRAU 41(1)
Page 83 and 84: YAMINI et al coupled with high per
Page 85 and 86: LOKESH et al Table 1. Clustering pa
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
Page 105 and 106: DEVI et al extension contact and ma
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
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RADHIKA et al Thus, the results of
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RAJU et al estimated daily dietary
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RAJU et al Table 3. Physico-chemica
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Research Notes J.Res. ANGRAU 41(1)
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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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