Asian Journal of Bio Science

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Secondary Genetic Productivity Factors (SGPFs) in Expression of Grain Yield in Rainfed Upland Rice of Bastar Plateau


Affiliations
1 Shaheed Gundadhur College of Agriculture and Research Station, Jagdalpur (C.G.), India
     

   Subscribe/Renew Journal


In present investigation, 18 new genotypes were tested for upland rainfed ecology during Kharif 2013 and 2014, to identify promising genotypes and formulate phenological relationships at phenotypic and genotypic levels with uncertain weather parameters. The test populations exhibited enough variation to carry on crop breeding research however, genotypes responded differentially to water stress and late season drought with respect to morphological and yield traits. Considering genetic secondary productivity factors (SGPF), days to flowering, plant height, panicles per unit area, spikelet fertility and harvest index was observed to be major contributors for water scarce survivals. Days to flowering was found to be negatively associated with grain yield (-0.1941, -0.2986*, -0.2586 for Kharif 2013, 2014 and pooled over environment, respectively). Grain yield was positively and significantly associated with total crop biomass (0.6669**, 0.6122**, 0.6185**), plant height (0.5059**, 0.4145**, 0.4541**) and crop duration. Biased selection for earliness cause reduction in grain yield due to shortened vegetative phase hence, research is to be focused to minimize the yield penalty associated with earliness.

Keywords

Upland Rice, Rainfed Ecosystem, Stress Physiology, Genetic Productivity Factors.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Adewusi, K.M. and Nassir, A.L. (2011). Assessment for drought adaptive and reproductive traits of field-planted upland rice genotypes in a derived Savannah ecology. J. Pl. Breed. & Crop Sci., 3(11):283-292.

  • Aditya, J.P. and Bhartiya, A. (2013).Genetic variability, correlation and path analysis for quantitative characters in rainfed upland rice of Uttarakhand hills. J. Rice Res., 6(2):24-34.

  • Agbo, C.U. and Obi, I.U. (2005). Yield and yield component analysis of twelve upland rice genotypes. J Agric. Food, Env. & Ext., 4(1): 29-33.

  • Araus, J.L., Slafer, G.A., Reynolds, M.P. and Royo, C. (2002). Plant breeding and drought in C3 cereals: What should webreed for? Ann. Bot., 89 : 925-940.

  • Atlin, G.N., Lafitte, H.R., Taob, D., Laza, M., Amante, M. and Courtois, M. (2006). Developing rice cultivars for high-fertility uplandsystems in the Asian tropics. Field Crops Res., 97 : 43-52.

  • Banziger, M., Setimela, P.S., Hodson, D. and Vivek, B. (2006). Breeding for improved abiotic, stress tolerance in maize adapted to Southern Africa. Agric. Water Manage., 80 : 212-224.

  • Chakraborty, R. and Chakraborty, S. (2010). Genetic variability and correlation of some morph metric traits with grain yield in bold grained rice (Oryza Sativa L.) gene pool of Barak valley. American Eurasian J. Sust. Agric., 4 (1) : 26-29.

  • Eradasappa, E., Nadarajan, 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 :156-159.

  • Fischer, K.S., Fukai, S., Kumar, A., Leung, H. and Jongdee, B. (2012). Field phenotyping strategies and breeding for adaptation of rice to drought. Frontiers Physiol., 3 : 282.

  • Hanamaratti, N.G., Prashanthi, S.K., Angadi, V.V. and Salimath, P.M. (2005). Rice research in rainfed drill sown rice in Karnataka. In : Five decades of rice research in Karnataka, Directorate of Research, University of Agricultural Sciences, GKVK, Bengaluru, pp. 55-68.

  • Kamoshita, A., Rodriguez, R., Yamauchi, A. and Wade, L.J. (2004).Genotypic variation in response of rainfed lowland rice to prolonged drought and dewatering. Plant Prod. Sci., 7 : 406-420.

  • Kanbar, A., Toorchi, M., Motohashi, T., Kondo, K. and Shashidhar, H.E. (2010).Evaluation of discriminant analysis in identification of deep and shallow ischolar_mained plants in early segregating generation of rice (Oryza sativa L.) using single tiller. Aus. J. Basic Appl. Sci., 4 (8) : 3909- 3916.

  • Kato, Y., Kamoshita, A. and Yamagishi, J. (2007). Evaluating the resistance of six rice cultivars to drought: ischolar_main restriction and the use of raised beds. Plant & Soil, 300 : 149-161.

  • Kumar, A., Bernier, J., Verulkar, S., Lafitte, H.R. and Atlin, G.N. (2008). Breeding for drought tolerance: Direct selection for yield, response to selection and use of and lowland-adapted populations drought-tolerant donors in upland. Field Crops Res., 107:221–231.

  • Lafitte, H.R., Yongsheng, G., Yan, S. and Li, Z.K. (2006). Whole plant responses, key processes, and adaptation to drought stress: the case of rice. J. Exp. Bot., 58 (2):169 -175.

  • Lanceras, J.C., Griengrai, P., Boonrat, J. and Theerayut, T. (2004). Quantitative trait loci associated with drought tolerance at reproductive stage in rice. Plant Physiol., 1:84-399.

  • Manna, M., Ali, M.D. Nsim and Sasmal, B.G. (2006).Variability, correlation and path coefficient analysis in some important traits of low land rice. Crop Res., 31(1):153-156.

  • Nassir, A.L. and Ariyo, O.J. (2011). Genotype x environment interaction and yield-stability analyses of rice grown in tropical inland swamp. Not. Bot. Hort. Agrobot. Cluj., 39 (1) : 220-225.

  • Oak, M.B., Tsubo, J., Fukai, M., Fisher, S., Cooper, K.S. and Nesbitt, M. (2006). Use of drought response index for identification of drought tolerant genotypes in rainfed lowland rice. Crop Sci. Res., 99 (1):48-58.

  • Price, A.H. (2002). QTLs for ischolar_main growth and drought resistance in rice.In: Mohan Jain DS, Ahloowalia BS (eds.) Molecular techniques incrop improvement, Kulwer Academic Publisher, Norwell, MA, USA, pp. 563-584.

  • Samonte, S.O.P.B., Wilson, L.T., McClung, A.M. and Medley, J.C. (2005). Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Sci., 45: 2414-2424.

  • Srivastava, N., Pathak, S.K., Gampala, S., Singh, V.J., Suresh, B.G. and Lavanya, G.R. (2014). Evaluation of exotic upland rice germplasm for grain yield and its component characters in rainfed ecosystem (Oryza sativa L.).Internat. J. Food, Agric.& Vet . Sci., 4 (2):102-109.


Abstract Views: 427

PDF Views: 4




  • Secondary Genetic Productivity Factors (SGPFs) in Expression of Grain Yield in Rainfed Upland Rice of Bastar Plateau

Abstract Views: 427  |  PDF Views: 4

Authors

Prafull Kumar
Shaheed Gundadhur College of Agriculture and Research Station, Jagdalpur (C.G.), India
Abhinav Sao
Shaheed Gundadhur College of Agriculture and Research Station, Jagdalpur (C.G.), India
S. C. Mukherjee
Shaheed Gundadhur College of Agriculture and Research Station, Jagdalpur (C.G.), India
R. S. Netam
Shaheed Gundadhur College of Agriculture and Research Station, Jagdalpur (C.G.), India

Abstract


In present investigation, 18 new genotypes were tested for upland rainfed ecology during Kharif 2013 and 2014, to identify promising genotypes and formulate phenological relationships at phenotypic and genotypic levels with uncertain weather parameters. The test populations exhibited enough variation to carry on crop breeding research however, genotypes responded differentially to water stress and late season drought with respect to morphological and yield traits. Considering genetic secondary productivity factors (SGPF), days to flowering, plant height, panicles per unit area, spikelet fertility and harvest index was observed to be major contributors for water scarce survivals. Days to flowering was found to be negatively associated with grain yield (-0.1941, -0.2986*, -0.2586 for Kharif 2013, 2014 and pooled over environment, respectively). Grain yield was positively and significantly associated with total crop biomass (0.6669**, 0.6122**, 0.6185**), plant height (0.5059**, 0.4145**, 0.4541**) and crop duration. Biased selection for earliness cause reduction in grain yield due to shortened vegetative phase hence, research is to be focused to minimize the yield penalty associated with earliness.

Keywords


Upland Rice, Rainfed Ecosystem, Stress Physiology, Genetic Productivity Factors.

References