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Vol. 11, Issue 5 (2022)

Phenological variability among RILs for grain protein content in rice indigenous to central India

Author(s):
Dayanand Navrang, Vinay Premi, Shrikant Yankanchi and Ajit Kumar Manmade
Abstract:
Phenological variability study was conducted to evaluate the mapping population for grain protein levels and morphological traits. The experimental material consisting of a mapping population having 192 lines derived from a cross between CGZR-1 X CGR-77 in which CGZR-1 is high yielding and grain zinc rich and CGR-77 is a germplasm with higher grain protein content. Protein content was estimated by modified Micro-Kjeldahl method and then further confirmed by Lowry’s method. Results showed that 28.8% lines recorded common for higher grain yield and grain protein content. Pearson`s correlation coefficients showed a positive correlation between grain protein content and most of all the traits under study i.e. PH, PL, ENT, GPC etc. The highest and lowest coefficient of variance was showed for panicle length (43.23) and grain protein content (2.75) respectively. Lines in the Mapping population showed normal distribution for all the traits recorded. Performance of all the lines were evaluated using scatter plot in which line numbers 27, 140, 152 and 153 recorded with higher grain yield and grain protein levels. Overall results suggest that the current mapping population is feasible for future breeding programs to develop high grain protein lines.
Pages: 197-205  |  372 Views  140 Downloads


The Pharma Innovation Journal
How to cite this article:
Dayanand Navrang, Vinay Premi, Shrikant Yankanchi, Ajit Kumar Manmade. Phenological variability among RILs for grain protein content in rice indigenous to central India. Pharma Innovation 2022;11(5):197-205.

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