Refine your search
Co-Authors
- T. Basavaraja
- S. K. Mallikarjun
- S. Gangaprasad
- D. Mrinmoy
- K. T. Venkatesha
- K. V. Vijaya Kumar
- Y. G. Shadakshari
- S. J. Satheesh Naik
- K. v. Vijayakumar
- N. M. Basavaprabhu
- E. Gangappa
- M. Pitchai Muthu
- K. V. Vijay Kumar
- H. Shivanna
- Niranjana Murthy
- K. V. Vijayakumar
- Mahesh Meena
- K. Mallikarjun
- M. Pitchaimuthu
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Asif, M.
- Variability, Heritability and Genetic Advance for Yield and Yield Attributing Characters in Different Local Rice (Oryza sativa L.) Cultivars
Abstract Views :300 |
PDF Views:0
Authors
Affiliations
1 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.k.v.k., Bengaluru, Karnataka, IN
2 Department of Genetics and Plant Breeding, College of Agriculture, U.a.s. (b), Shimoga, Karnataka, IN
1 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.k.v.k., Bengaluru, Karnataka, IN
2 Department of Genetics and Plant Breeding, College of Agriculture, U.a.s. (b), Shimoga, Karnataka, IN
Source
Asian Journal of Bio Science, Vol 8, No 1 (2013), Pagination: 60-62Abstract
A field experiment was conducted to study the extent of genetic variability in yield and yield attributing traits under irrigated conditions. Genetic parameters of variability and heritability of 13 characters were studied in 100 genotypes of local rice. Co-efficients of variation were high for number of productive tillers per plant, grain yield per plant, number of tiller per plant, panicle number, plant height, panicle length, test weight, number of spikelet per panicle. The maximum genotypic co-efficient of variability and phenotypic co-efficient of variability were observed for test weight, number of productive tillers per plant, number of spikelet per panicle, amylase per cent and grain yield/plant (g). High heritability coupled with high genetic advance as per cent of mean were observed for days to 50 per cent flowering, test weight, number of spikelet per panicle, per cent of spikelet fertility, protein per cent and grain yield/plant (g) will be useful for further breeding programme. Indicated the possibility of yield and quality improvement through adoption of selection procedures.Keywords
Rice, Variability, Quality, YieldReferences
- Allard, R.W. (1960). Principles of plant breeding. John Wiley and Sons, Inc. NEWYORK (U.S.A.).
- Binse, Rita, Motiramani, N.K. and Sarwagi (2006). Association analysis and variability analysis in rice. Mysore J. agric. Sci., 40(3):375-380.
- Burton, G. W. (1952). Quantitative inheritance in grasses. Proceedings of the 6th International Congress. pp. 277-283.
- Das, P.K., Chakraborty, S., Barman, B. and Sarmah, K.K. (2001). Genetic variation for harvest index, grain yield and yield components in boro rice. Oryza, 38(3&4):149-150.
- Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybean. Agron. J., 47(7): 314-318.
- Sharma, A.K. and Sharma, R.N. (2007). Genetic variability and character association in early maturing rice. Oryza, 44(4): 300-303.
- Siddiq, E. A. (1989). Innovative approaches to raise the ceiling to yield of rice in high productive areas. Paper presented at seminar on new directions of irrigated rice farming, January, 128-30, 1989. Agricultural College, Bapatla, Andhra Pradesh. Mimeographed. Directorate of Rice Research, Hyderabad (A.P.) INDIA.
- Tang, S.X.Y.Z., Jiang, X.H., Wei, Z.C., Li and H.Y.Yu. (2002). Genetic diversity of isozymes of cultivated rice in china. Acta Agron. Sin., 28: 203-207.
- Vaithiyalingan, M. and Nadarajan, N. (2006). Genetic variability and genetic advance in F2 population of inter sub- specific crosses of rice. Crop Res., 31(3): 476-477.
- Correlation and Path Analysis of Yield and Yield Attributes in Local Rice Cultivars (Oryza sativa L.)
Abstract Views :309 |
PDF Views:0
Authors
Affiliations
1 Department of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, Karnataka, IN
2 Department of Genetics and Plant Breeding, College of Agriculture, U.A.S. (B), Shimoga, Karnataka, IN
1 Department of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, Karnataka, IN
2 Department of Genetics and Plant Breeding, College of Agriculture, U.A.S. (B), Shimoga, Karnataka, IN
Source
Asian Journal of Bio Science, Vol 8, No 1 (2013), Pagination: 36-38Abstract
The associations among the yield components and direct and indirect influence of yield components on the grain yield of local rice were investigated at Agricultural college farm, Navile, Shimoga. The experiment was laid out in a 10 x 10 Simple Lattice Design with two replications which consisted of 100 local genotypes during Kharif 2010. The correlation analysis indicated that grain yield was significantly associated with panicle length, test weight, number of tiller per plant, number of productive tiller per plant, number of spikelet per panicle, per cent spikelet fertility and amylase per cent. Path co-efficient analysis revealed that days to 50 per cent flowering, plant height, panicle length, panicle number, number of productive tiller per plant, per cent spikelet fertility and amylase per cent had positive direct effect on grain yield. Hence, selection on these traits could be suggested to bring simultaneous improvement of yield and yield attributes.Keywords
Correlation, Path Analysis, Rice, YieldReferences
- Dewey, D.R. and Lu, K.H. (1959). A correlation and path co-efficient analysis of components of crested wheat grass seed production. Agron. J., 51(9):515-518.
- Eradasappa, E., Nadarajan, N., Ganapathy, K. N., Shanthala, J and Satish, R.G. (2007). Correlation and path analysis for yield and its attributing traits in rice (Oryza sativa L.). Crop Res., 34(1,2,3): 156-159.
- Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybean. Agron. J., 47(7): 314-318.
- Panwar, L.L. (2006). Character association and path analysis in rice (Oryza sativa L.). Ann. agric. Res. New series, 27(3): 257-260.
- Panwar, L.L. and Mashiat, Ali (2007). Correlation and path analysis of yield and yield components in transplanted rice. Oryza, 44(2): 115- 120.
- Siva Kumar, P. and Kannan Bapu, J.R. (2005). Character association in inter sub-specific rice hybrids involving wide compatible gene. Crop Res., 30(2):208-210.
- Wright, S. (1921). Correlation and causation. J. agric. Res., 20: 557-585.
- Nature of Gene Action in Okra through Diallel Analysis
Abstract Views :301 |
PDF Views:0
Authors
Affiliations
1 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
1 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
Source
Asian Journal of Bio Science, Vol 8, No 1 (2013), Pagination: 145-146Abstract
To find the nature of gene action in okra, experiment was carried out with 10 x 10 half-diallel mating design and found 45 F1 cross combinations. The present study indicated that both additive and non-additive gene action present in three traits i.e., days to 50 per cent flowering, fruit weight and number of nodes per plant and dominant gene action with asymmetrical distribution of genes and over dominance was found for all the characters. The positive and non-significant estimate of 'F' for all other characters except fruit weight suggests that the dominant genes are preponderant. In the present study the significance of t2 value suggested the failure of the one or more assumption of diallel analysis for all the characters except days to 50 per cent flowering, fruit girth, plant height and number of nodes per plant.Keywords
Okra, Half-diallel Cross, Gene ActionReferences
- Das, A.K., Mishra, S.N. and Mishra, R.S. (1996). Components of genetic variance and degree of dominance for yield contributing traits in okra. Orissa J. Hort., 24(1/2): 18-20.
- Hayman, B.I. (1954). The Theory and analysis of diallel crosses. Genetics, 39: 789-809.
- Kumar, S.T., Kumar, N.S. and Manivannan, K. (2004). Genetics of fruit yield and its component characters in okra [Abelmoschus esculentus (L.) Moench]. South Indian Hort., 52(1/6) : 76-81.
- Rajani, B. and Manju, P. (1999). Gene action in okra [Abelmoschus esculentus (L.) Moench]. South Indian J. Hort., 47(1/6): 193-195.
- Vachhani, J.H. and Shekhat, H.G. (2008). Gene action in okra [Abelmoschus esculentus (L.) Moench]. Agric. Sci. Digest., 28(2): 84-88.
- Combining Ability Studies for Seed Yield and It's Contributing Traits in Sunflower (Helianthus annuus L.)
Abstract Views :358 |
PDF Views:0
Authors
M. Asif
1,
Y. G. Shadakshari
2,
S. J. Satheesh Naik
1,
K. T. Venkatesha
1,
K. v. Vijayakumar
1,
N. M. Basavaprabhu
1
Affiliations
1 Department of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, karnataka, IN
2 AICRP (sunflower), Zonal Agricultural Research Station, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
3 Department of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, Karnataka, IN
1 Department of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, karnataka, IN
2 AICRP (sunflower), Zonal Agricultural Research Station, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
3 Department of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, Karnataka, IN
Source
International Journal of Plant Sciences, Vol 8, No 1 (2013), Pagination: 19-24Abstract
A Line × tester analysis of 45 hybrids in sunflower using three CMS lines and 15 testers was carried out to study the combining ability for seed yield and its contributing traits in sunflower (Helianthus annuus L.). The result revealed that, variance due to SCA was greater than GCA for all the traits except stem diameter and 100-seed weight, which indicated preponderance of non-additive gene action for all traits, while additive gene action for stem diameter and 100-seed weight. Line CMS 54A was a good general combiner for early flowering, early maturity, plant height, test weight, seed yield and oil yield, while CMS 56A was a good general combiner for hull content and oil content. The testers RHA 93 and RHA 115R transmitted allele with additive effects for seed and oil yield. RHA 6D- 5-3-5 was good general combiner for early flowering and early maturity, while RHA 95C-1 was good general combiner for oil content. In lines CMS 54A and CMS 57A and in testers GKVK-1, GKVK-2, RHA 95C-1, RHA 6D-5-3-5, RHA-272-II, RHA 275, RHA-298, RHA-115R and RHA-115R possessed favorable alleles for most of the traits. Among hybrids CMS 57A × RHA 93 was identified as the best specific combiner for seed yield, oil yield, volume weight, head and stem diameter. CMS 56A × RHA 6D-5-3-5 was the best specific combination for early flowering and early maturity. While CMS 54A × RHA 6D-5-3-5 was the best specific combiner for economic trait oil content and oil yield.Keywords
Sunflower, Line × Tester, Combining Ability- Indentification of Genetic Divergence in Okra Genotypes [Abelmoschus esculentus (L.) Moench]
Abstract Views :232 |
PDF Views:0
Authors
Affiliations
1 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
2 Division of Vegetable Crops, Indian Institute of Horticultural Research, Hesaraghatta, Bengaluru, Karnataka, IN
1 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
2 Division of Vegetable Crops, Indian Institute of Horticultural Research, Hesaraghatta, Bengaluru, Karnataka, IN
Source
International Journal of Plant Sciences, Vol 8, No 1 (2013), Pagination: 83-90Abstract
Using Mahalonobis D2 statistic and Tocher method, 166 germplasm lines were grouped into 18 divergent clusters. Clustering pattern was not associated with geographical region of genotypes. Hence, Geographical separation may not be referred as index of genetic diversity. Yield per plant, Mean inter-node s length and nodes per plant contributed largely for total divergence, revealing ample scope for improvement of these traits. Maximum number of genotypes were congregated in cluster XVIII followed by cluster I. the highest inter cluster distance between cluster I and cluster XVIII emphasized the possibilities of getting high heterotic F1 hybrids as well as transgressive segregants in advanced generations for different traits , when hybridization is carried out involving genotypes between these two divergent clusters.Keywords
Intra And Inter Clusters Distances, Intra And Inter Clusters Divergence And per Cent Contribution- Physiological and Morphological Response of Maize (Zea mays L.) Inbred Lines under Drought Condition
Abstract Views :294 |
PDF Views:0
Authors
Affiliations
1 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
2 Departments of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, Karnataka, IN
3 Directorate of Research, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
1 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
2 Departments of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, Karnataka, IN
3 Directorate of Research, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
Source
International Journal of Plant Sciences, Vol 8, No 1 (2013), Pagination: 131-133Abstract
The present study was conducted to assess drought tolerant and grain yield traits in maize. Seventeen stable and productive inbred lines were evaluated under drought condition. Results revealed that, The analysis of variance in respect to four drought tolerant and twelve yields and yield attributing characters indicated highly significant differences among the genotypes as revealed by 'F' test. Among the inbred lines, SKV-70, CML-249, CML-357 showed the better mean values for drought tolerant traits viz., SPAD chlorophyll meter reading (SCMR), specific leaf area(SLA), anthesis silking interval (ASI), carbon isotope discrimination (Δ13C) in desirable direction. Lines NAI-143, NAI-156, SKV-70 had higher yielding ability along with good drought tolerance ability compared to other inbred lines.Keywords
Spad Chlorophyll Meter Reading (SCMR), Specific Leaf Area (SLA), Anthesis Silking Interval (ASI), Carbon Isotope Discrimination (Δ13c)- Genetic Divergence Analysis in Rice Bean [Vigna umbellate (L.)]
Abstract Views :228 |
PDF Views:0
Authors
Affiliations
1 Department of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, Karnataka, IN
2 AICRP (U U Crops), MRS, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
1 Department of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, Karnataka, IN
2 AICRP (U U Crops), MRS, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
Source
International Journal of Plant Sciences, Vol 8, No 1 (2013), Pagination: 166-168Abstract
A wide genetic variability among the genotypes was revealed by the D2 analysis, where in 49 genotypes were grouped into ten clusters. Based on average inter-cluster distance, the clusters VII and VIII were found to be highly divergent from all the clusters, the intercluster D2 value was 500.33, where lowest D2 value was noticed between the clusters IV and VIII (23.35). The genotypes LRB- 461, LRB-462, LRB-463, LRB-464, LRB-465, LRB-466, LRB-467, LL-476, LRB-491, LRB-498 and LRB-490 were found to be divergent.Keywords
Rice Bean, Genetic Divergence, Seed Yield- Genetic Variability Studies in F2 Generation of Okra [Abelmoschus esculentus (L.) Moench]
Abstract Views :257 |
PDF Views:0
Authors
Mahesh Meena
1,
E. Gangappa
1,
K. Mallikarjun
1,
T. Basavaraja
1,
M. Asif
1,
K. T. Venkatesha
2,
N. M. Basavaprabhu
2,
K. V. Vijayakumar
2
Affiliations
1 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
2 Department of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, Karnataka, IN
1 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
2 Department of Genetics and Plant Breeding, G.K.V.K., University of Agricultural Sciences, Bengaluru, Karnataka, IN
Source
International Journal of Plant Sciences, Vol 8, No 1 (2013), Pagination: 183-186Abstract
Studies were conducted on genetic variability for ten quantitative characters in F2 generation of three crosses in okra. The genotypic and phenotypic co-efficients of variations were moderate to high for all the characters except ridges per plant with reference to F2 generation of the crosses C-II and C-III; whereas the F2 of C-I showed moderate to high PCV and GCV for all the traits except fruit diameter and fruits per plant High broad sense heritability coupled with high genetic advance as per cent of mean was recorded for fruit length and primary branches in C-II and C-III and for fruit length followed by nodes per plant in C-I which indicated lower environmental influence on these traits and the prevalence of additive genes. Simple and early selection schemes would be effective for the improvement of these traits.Keywords
Okra, Genetic Variability, Genetic Advance, Heritability- Genetic Variability Studies in Okra [Abelmoschus esculentus (L.) Moench]
Abstract Views :270 |
PDF Views:0
Authors
Affiliations
1 Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
2 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
3 Division of Vegetable Crops, Indian Institute of Horticultural Research, Bengaluru, Karnataka, IN
1 Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
2 Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, IN
3 Division of Vegetable Crops, Indian Institute of Horticultural Research, Bengaluru, Karnataka, IN