INTERNATIONAL JOURNAL OF PURE & APPLIED BIOSCIENCE
ISSN : 2320-7051
International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 4
First page : (678) Last page : (682)
Article doi: : http://dx.doi.org/10.18782/2320-5114
Evaluation of Rice Genotypes for Physiological Efficiency and Productivity
B. Lavanya2*, Ramesh Thatikunta2, R. M. Sundaram1, Ramyasri Yemineni2, K. Pranathi1, P. Koteshwar Rao1 and Puskur Raghuveer Rao1
1ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad-500030
2Department of Crop Physiology, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad-500030
*Corresponding Author E-mail: email@example.com
Received: 2.07.2017 | Revised: 13.08.2017 | Accepted: 24.08.2017
Pot experiment was conducted at ICAR-Indian Institute of Rice Research, Hyderabad, during Kharif 2014 to study various rice genotypes for grain yield by physiological approaches. Different parameters like Crop Growth Rate (CGR), Leaf Area Index (LAI), Total Biomass, Total Soluble Sugars (TSS), Number of productive tillers, Harvest Index (HI) and Yield were recorded. The mean values for LAI at different DAS varied from 1.0 to 3.4, 3.1 to 6.0 and 4.0 to 6.3 respectively. The average values for total biomass varied from 2.57 to 8.05 g plant-1. Harvest index among the lines varied from 0.21 to 0.51. It was found that total soluble sugars, starch content, reducing sugars (34.0, 19.2 and 7.37 mg g-1DW), CGR (42.2 g m-2 day-1) and LAI (6.0) was found to be maximum in KRH2 which reflected in yield increase (33.3 g) in the hybrid. Harvest index value was found to be maximum in APMS6A X BCW56 which lead to highest grain yield (34.9 g). By physiological evaluation, it can be concluded that these genotypes can be further used in crop improvement programme.
Key words: Crop Growth Rate (CGR), Leaf Area Index (LAI), Total Soluble Sugars (TSS), Harvest Index (HI).
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Lavanya, B., Thatikunta, R., Sundaram, R. M., Yemineni, R., Pranathi, K., Rao, P. K. and Rao, P. R., Evaluation of Rice Genotypes for Physiological Efficiency and Productivity, Int. J. Pure App. Biosci.6(4): 678-682 (2018). doi: http://dx.doi.org/10.18782/2320-7051.5114