National Academy of Agricultural Sciences (NAAS)
|
PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
The present investigation was based on evaluation of a line × tester set of 60 hybrids (F1s) and their 20 parents along with two checks (NarendraUsar 2009 and IR 28) for thirteen characters. In rice research correlation and path coefficient analyses are used to understand the relationships between yield and its component traits, helping to identify key factors that contribute to identify key factors that contribute to improve yield. In general, PCV was higher than the GCV for all characters under sodic soil. Nine traits emerged as the most important associates of grain yield per plant under sodic soil. The mean square due to lines representing additive effects and g.c.a are significant for all characters. For grain yield per plant, lines NDRK 50057, Narendra Usar 2009, CSR 36, NDRK 50037, IRRI 123, NDRK 50036, NDRK 50045, NDRK 50055 and NDRK 50063 and testers, Jaya and Sarjoo 52 were identified as good general combiners in sodic soil for Grain yield per plant and several other important traits to emerge as valuable parents for hybridization programme for obtaining High yielding pure line/hybrid varieties. The most desirable crosses show showing high mean performance and high and significant heterosis of positive Nature one or both types for grain yield per plant as well as sum of its components traits where CSR 36 X Jaya, Narendrausar 209 X sarjoo 52, CSR 36 X 252, NDRK 50057 X Saju 52, NDRK 50057 X Jaya, NDRK 50057 Narendra 5026, IRRI 123 X jaya, NDRK 50037 X jaya, NDRK 50055 x sarjoo52 and NDRK 50037 x Narendra 5026 under sodicsoil. The genetic variability is subjected to selection to isolate superior genotypes. The path analysis studies revealed that panicle length was the major contributor for grain yield per plant followed by plant height, number of grains per panicle, days to 50% flowering, 1000 grain weight, kernel length and other traits.
Arunachalam. V, (1974). The fallacy behind the use of modified line×tester design. Indian j.Genet.,34(2): 200-207.
Bano, D.A., Singh, S. P (2019). Combining ability studies for yield and quality traits in aromatic genotypes of rice (Oryza sativa L.) 10(2):341-352 https://doi.org/10.5958/0975-928X.2019.00044.9
Basavaraja, T. Asif, M.; Mallikarjun, S. K. and Ganga Parsad, S. (2013). Variability, heritability and genetic advance for yield and yield attributing characters in different local rice (Oryzas sativa L.) cultivars. Asian Journal of BioBioScience, 8 (1): 60-62.
Bhandarker, S.; Rastogi, N.K. and Arvind, K. (2005). Study of heterosis in rice.Oryza, 42(3): 218-119.
Dewey, D.I. and Lu, K.H. (1959) A Correlation and Path-Coefficient Analysis of Components of Crested Wheatgrass Seed Production. Agronomy Journal, 51, 515-518. http://dx.doi.org/10.2134/agronj1959.00021962005100090002x
Dharwal G, Verma O. P and Verma G. P. Combining ability analysis for grain yield and other associated traits in rice. International Journal of Pure and Applied Bioscience.2017, 5 (2) ; 96- 100. http://dx.doi.org/10.18782/2320-7051.2871
Kuinar, A. and Verma, O.P. (2015). Correlation and path coefficient analysis in certain quantitative traits in rice (Oryza sativa L.) under saline-alkaline condition. Res. Environ. Life Sci., 8(3):443-446.
Lussewa, R.K., Edema, R. and Lamo J. (2016). Magnitude of genotype x environment interaction for bacterial leaf blight resistance in rice growing areas of Uganda. African Crop Science Journal, 24 (1): 11-24. https://doi.org/10.4314/acsj.v24i1.2S
Mani, S. C. (2013). Of heterosis and inbreeding depression for grain yield and yield attributing traits in basmati rice (Oryza sativa L.). Genetic variability, heritability and genetic advance studies in rice (Oryza sativa L.) under sodic soil. Res. Environ. Life Sci., 9(2): 149-151.
Pankaj Bhatia, Jain, R.K. and Chowdhury, V.K. (2013). Genetic variability, correlation and path coefficient analysis for grain yield and its components in rice (Oryza sativa L.). Annals of Biologv, 29 (3):282-287.
Pradhan. S.K., Bose, L.K. and Meher, J., (2007). Studies on gene action and combining ability analysis in basmati rice.CentralEurope Agriculture. 1(2): 267-272.
Prasad, S.; Verma, O. P.; Treepathi, N.; Ashish and Yadav, P. K. (2015). Combining Ability for Yield and its Contributing Traits in Rice (Oryza sativa L.) Under Salt Affected Soil. International Journal of Science and Research, 4(9): 1050-1054.
Qainar, Z.U.; Cheema, A.A.; Ashraf, M.; Rashid, M. and Tahir, G.R. (2005). Association analysis of yield influencing traits in aromatic and non-aromatic rice.Pak. J Bot.,31 (3): 613-627.
Radhadevi, R.P.; Nagarajan, P.; Shann1ugasundara1n P.; Babu R.C.; Jayanthi, S.; Subramani, S. and Subramani, S. (2002). Combining ability analysis in three line and two line rice hybrid. Plant Archives, 2(1) :99
Shrivastava, A., Mishra, D.K. andKoutu, G.K. (2015). Estimation of genetic parameters of variability for yield and its attributing traits in parental lines of hybrid rice. Plant Archives, 15 (1) 571-574.
Shukla, S.K. and Pandey.M.P. (2008). Combining ability and heterosis over environmental for yield and yield components in line hybrids involving techno-sensitive genic male sterile lines in rice Plant Breeding, 127(1): 28-32.
Shukla, V.; Singh, S.; Singh, S.K. and Singh. H. (2004). Analysis of variability and heritability in new plant type tropical Japonica rice.
Srikrishna, Latha; Sharma, Deepak and Sanghera, G.S. (2013). Combining ability and heterosis for grain yield and its component traits in rice (Oryza sativa L.).NotulaeScientiaBiologicae, 5 (1):90-97. https://doi.org/10.15835/nsb519006
Waheed, A., Ahmad, H., Fida. M. A., Azhar H. Shah, Hamid, A.; Hamid, F.S., and Saqib M. (2016). Resistance characterization of cultivated varieties and rice wild species in response to bacterial blight. International Journal of Biosciences, 7(6): 103-110. http://dx.doi.org/10.12692/ijb/7.6.103-110
Wright, S. (1921) Correlation and Causation. Journal of Agricultural Research, 20, 557-585.
Citations |
 |
 |
 |
 |
