Refine your search
Collections
Co-Authors
Journals
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
Pitchaimuthu, M.
- Genetic Variability and Heritability for Growth and Yield in Cucumber (Cucumis sativus L.)
Abstract Views :224 |
PDF Views:126
Authors
Affiliations
1 College of Horticulture, University of Horticultural Sciences Campus, GKVK, Bengaluru-560 065, Karnataka, IN
2 ICAR-Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Bengaluru - 560 089, Karnataka, IN
1 College of Horticulture, University of Horticultural Sciences Campus, GKVK, Bengaluru-560 065, Karnataka, IN
2 ICAR-Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Bengaluru - 560 089, Karnataka, IN
Source
Journal of Horticultural Sciences, Vol 11, No 1 (2016), Pagination: 33-36Abstract
Quantification of variability is the most essential pre-breeding tool in any crop improvement programme. The present investigation was carried out to assess variability existing in twenty four diverse cucumber genotypes. Results revealed high phenotypic and genotypic coefficient of variation for yield per plant, fruit flesh thickness, number of fruits per plant, number of nodes per plant, number of branches per plant, average fruit weight, internode length and vine length. High heritability, coupled with high genetic advance as per cent mean, was recorded for all the characters studied except days to first female-flower opening, days to 50% flowering and days to first-fruit harvest, indicating a scope for improvement through selection.Keywords
Genetic Variability, Heritability, GCV, PCV, Cucumber.References
- Anonymous. 2013. Crop-wise statistics of horticultural crops in Karnataka State 2012-13. Government of Karnataka, Directorate of Horticulture, Department of Horticulture, Lalbagh, Bangalore, Karnataka, India, p. 52
- Anonymous. 2014. Indian Horticulture Database 2013, Area and production of fruits and vegetables - all India (2013-14), Ministry of Agriculture, Government of India, New Delhi, India
- Burton, G.W. and Dewane, E.V.M. 1953. Estimating heritability in tall fescue (Festuca arundinacea L.) from replicated clonal material. Agron. J., 45:478-481
- Falconer, D.S. 1981. Introduction to quantitative genetics. Second edition, London Longman Group Ltd., Longman House, Harrow, England, pp. 350
- Gaikwad, A.G., Musmade, A.M., Dhumal, S.S. and Sonawane, H.G. 2011. Variability studies in cucumber (Cucumis sativus L.). Ecol. Envir. Cons., 17:799-802
- Haussmann, B.I.G., Parzies, H. K., Presterl, T., Susic, Z. and Miedaner, T. 2004. Plant genetic resources in crop improvement. Pl. Genet. Resources, 2:3-21
- Johnson, H.W., Robinson, H.F. and Comstock, R.E. 1955. Estimation of genetic and environmental variability in soybean. Agron. J., 47:477-483
- Kashif, W., Kamran, Q.M. and Jilani, M.S. 2008. Effect of different nitrogen levels on growth and yield of cucumber (Cucumis sativus L.). J. Agril. Res., 46(3):259-266
- Panse, V.G. and Sukhatme, P.V. 1967. Statistical methods for agricultural workers. Indian Council of Agricultural Research, New Delhi, India, pp. 21
- Singh, M.K., Bhardwaj, D.R. and Upadhyay, D.K. 2014. Genetic architecture and association analysis in bitter gourd (Momordica charantia L.) landraces. The Bioscan, 9:707-711
- Uddin, G., Ahmed, N., Narayan, R., Nazir, G. and Hussain, K. 2006. Variability studies in cucumber. Haryana J. Hortl. Sci., 35(3&4):297-298
- Veena, R., Sidhu, A.S., Pitchaimuthu, M. and Souravi, K. 2012. Genetic evaluation of cucumber (Cucumis sativus L.) genotypes for some yield and yield-related traits. Electronic J. Pl. Breed., 3:945-948
- Genetic Variability, Correlation and Path Analysis in Ridge Gourd [Luffa acutangula (Roxb.) L.]
Abstract Views :238 |
PDF Views:109
Authors
Affiliations
1 Division of Vegetable Crops, ICAR-Indian Institute of Horticultural Research, Hesaraghatta Lake Post, Bengaluru-560 089, IN
1 Division of Vegetable Crops, ICAR-Indian Institute of Horticultural Research, Hesaraghatta Lake Post, Bengaluru-560 089, IN
Source
Journal of Horticultural Sciences, Vol 10, No 2 (2015), Pagination: 154-158Abstract
The present investigation was made to determine variability, heritability, genetic advance and correlation of fruit yield with 10 yield-contributing traits in ridge gourd. A wide variability was observed for days taken to first female flower appearance, fruit length, fruit number/plant, fruit weight and fruit yield/ha. Phenotypic coefficient of variation was higher than genotypic coefficient of variation for all the traits studied, indicating environmental influence on the expression of these traits. However, high heritability (broad-sense), along with high genetic advance, was recorded in node number at which first female-flower appeared, number of branches, fruit length, number of fruits/plant and fruit weight, indicating presence of additive gene effects. Fruit yield/ha was significantly and positively associated with peduncle length, fruit length, number of fruits/plant (at the phenotypic level), fruit weight and fruit yield/plant. Fruit weight had the highest direct effect (0.847) on fruit yield/ha, followed by fruit yield/plant (0.793), fruit number (0.344), peduncle length (0.237) and number of branches (0.216). Therefore, for yield improvement in ridge gourd, emphasis may be laid on indirect selection using fruit parameters like fruit weight, number of fruits/plant and fruit yield/plant.Keywords
Ridge Gourd, Luffa acutangula (Roxb) L., Genetic Variability, Heritability, Correlation Path Analysis.References
- Al-Jibouri, H.H., Miller, P.A. and Robinson, H.F. 1958. Genotypic and environmental variances and covariances in upland cotton crosses of interspecific origin. Agron. J., 50:633-637
- Burton, G.W. and De Vane, E.W. 1953. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agron. J., 45:478-81
- Chowdhury, D. and Sharma, K.C. 2002. Studies on variability, heritability, genetic advance and correlation in ridge gourd (Luffa acutangula Roxb.). Hort. J., 15:53-58
- Choudhary, B.R., Pandey, S., Bhardwaj, D.R., Yadav, D.S. and Rai, M. 2008. Component analysis for quantitative traits in ridge gourd [Luffa acutangula (Roxb) L.]. Veg. Sci., 35:144-147
- Choudhary, B.R. and Suresh Kumar. 2011. Genetic analysis in ridge gourd [Luffa acutangula (Roxb) L.] under hot arid conditions. Indian J. Arid Hort., 6:55-58
- Dewey, D.R. and Lu, K.H. 1959. A correlation and path coefficient analysis of components of crested wheat grass seed production. Agron. J., 51:515-518
- GENRES. 1994. Data entry module for genres statistical software Pascal Int’l. Software Solution, Version 3.11
- Hanumegowda, K., Shirol, A.M., Mulge, R., Shantappa, T. and Prasadkumer. 2012. Correlation coefficient studies in ridge gourd [Luffa acutangula (Roxb) L.]. Karnatka J. Agril. Sci., 25:160-162
- Johnson, H.W., Robinson, H.F. and Comstock, R.E. 1955. Estimates of genetic and environmental variability in soybean. Agron. J., 47:314-318
- Karuppaiah, P., Kavitha, R. and Senthilkumar, P. 2002. Studies on variability, heritability and genetic advance in ridge gourd. Indian J. Hort., 59:307-312
- Panse, V.G. and Sukhatme, P.V. 1984. Statistical Methods for Agricultural Workers. Indian Council of Agricultural Research, New Delhi, India
- Prasanna, S.C., Krishnappa, K.S. and Reddy, N.S. 2002. Correlation and path coefficient analysis studies in ridge gourd. Curr. Res., Univ. Agril. Sci., Bengaluru, 31:150-152
- Rabbani, M.G., Naher M.J. and Hoque, S. 2012. Variability, character association and diversity analysis of ridge gourd (Luffa acutangula Roxb.) genotypes of Bangladesh. SAARC J. Agri., 10:01-10
- Rao, B.N., Rao, P.V. and Reddy, B.M.M. 2000. Correlation and path analysis in the segregating population of ridge gourd (Luffa acutangula (Roxb.) L.). Crop Res., 20:338-342
- Singh, R.P., Mohan, J. and Singh, D. 2002. Studies on genetic variability and heritability in ridge gourd. Agril. Sci. Digest, 22:279-280
- Varalakshmi, B., Rao, P.V. and Reddy, Y.N. 1995. Genetic variability and heritability in ridge gourd (Luffa acutangula). Indian J. Agril. Sci., 65:608-610
- Yawalkar, K.S. 1985. Vegetable Crops of India (3rd Edition). Agri. Horticultural Publishing House, Nagpur - 440010, India, pp. 166-170
- Studies on Inheritance of Geneic Male Sterility (GMS) and Hybrid Seed Production in Okra [Abelmoschus esculentus (L.) Moench.]
Abstract Views :195 |
PDF Views:107
Authors
Affiliations
1 Indian Institute of Horticultural Research, Bangalore, Karnataka - 560 089, IN
1 Indian Institute of Horticultural Research, Bangalore, Karnataka - 560 089, IN
Source
Journal of Horticultural Sciences, Vol 7, No 2 (2012), Pagination: 199-202Abstract
Inheritance of geneic male sterility in GMS line MS-1 of okra [Abelmoschus esculentus (L.) Moench.] was studied using F1, F2 and test-cross generations of crosses between GMS line MS-1 and normal fertile genotypes, and the varieties Arka Anamika, Parbhani Kranti, Arka Abhay, IIHR-108-1-31, IIHR-109-20-6, IIHR-116-23-6, IIHR- 180-6-3, IIHR-161-10-1 and IIHR-130-2-10. All the F1 were found fertile. Segregation of pollen fertility in F2 and test - cross generations involving ms1 was segregated in the ratio 1 fertile: 1 sterile, respectively. This indicated that GMS trait in the line is controlled by a single recessive gene (ms1ms1). Large-scale F1 hybrid seed production in okra becomes rather slow due to the tedious hand-emasculation, followed by hand-pollination, incurring additional labour and cost of F1 seed production. In comparison to fertile lines, this saves approximately 70% time and manual labour. Use of Geneic Male Sterile (GMS) line MS-1 can make F1 hybrid seed production in okra easy and more economical compared to hand-emasculation.Keywords
Abelmoschus esculentus, Geneic Male Sterility (GMS), Back Cross, Generations, Recessive Allele.- Statistical Models for Stability Analysis in Watermelon
Abstract Views :181 |
PDF Views:116
Authors
Affiliations
1 Section of Economics and Statistics, Indian Institute of Horticultural Research, Hessearghatta Lake PO, Bangalore-560 089, IN
2 Division of Vegetable Crops, IIHR, Banglaore-560 089, IN
1 Section of Economics and Statistics, Indian Institute of Horticultural Research, Hessearghatta Lake PO, Bangalore-560 089, IN
2 Division of Vegetable Crops, IIHR, Banglaore-560 089, IN
Source
Journal of Horticultural Sciences, Vol 4, No 2 (2009), Pagination: 153-157Abstract
Fourteen promising F1 hybrids of watermelon namely IIHR-188 X IIHR-118, IIHR 114 X IIHR 118 , IIHR 119 X IIHR- 20-1, Arka Manik X IIHR 46, IIHR 43 X IIHR 46, Arka Manik X IIHR-188, Arka Jyothi, NS-295, Kushboo, Madhubala, Apoorva, CWH-7 and Riya were evaluated in experimental plots of Division of Vegetable Crops, Indian Institute of Horticultural Research, Bangalore during 2002-04. Information about biometrical characters such as fruit length (cm), fruit girth (cm), days to first male flower opening&female flower opening, rind thickness(cm) and TSS (%) along with yield (t ha-1), were used to develop stability models to identify stable hybrid(s) for a wide range for cultivation. Stability models thus developed indicated that two hybrids, viz., Arka Jyothi (with yield potential of 75.91 t ha-1) across the years and NS-295 (64.25 t ha-1) were stable for a wide range for cultivation. Statistical measures of stability, viz., regression coefficient, deviation from regression co-efficient and ecovalence measures, were worked out and utilized for grouping of hybrids into different categories based on their cumulative performance over the years.Keywords
Ecovalence Measure, GE Interaction, Stability Models, Watermelon.- Development of Novel Character in Okra [Abelmoschus esculentus (L.) Moench]
Abstract Views :170 |
PDF Views:98
Authors
Affiliations
1 Division of Vegetable Crops, Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Banaglore-560 089, IN
2 National Research Centre for Onion and Garlic, Rajgurunagar, Pune, IN
1 Division of Vegetable Crops, Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Banaglore-560 089, IN
2 National Research Centre for Onion and Garlic, Rajgurunagar, Pune, IN