• Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal
Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 8, Issue 4 (2019)

Correlation and path coefficient analysis of rice genotypes for their yield components under drought condition

Author(s):

Jeevula BN, Eswara NPR, Ramesh PB and Srividhya A

Abstract:
During Kharif 2016, 56 rice genotypes were screened phenotypically to study genetic variability and evaluated with the main aim to analyse yield component in rice under drought condition. All the experiments were laid out in an alpha lattice design and consisted of three replications under two different hydrological conditions viz., non-stress (favourable or irrigated as per needed) & stress under rainfed condition. Data were recorded on days to fifty percent flowering, plant height (cm), harvest index (%), biological yield (gm), plot yield, panicle number, 1000 seed weight (gm), seed fertility (%), culm height (cm), panicle length (cm), filled grains per panicle, chaffy grains per panicle: economic yield (gm) leaf rolling, drought Score. These data were analyzed for analysis of variance, mean performance of genotypes, coefficient of variability, heritability in broad sense, genetic advance in percent of mean, correlation coefficient, path analysis and genetic divergence. Experimental results discovered that Disang, Apo, ARC-10985, Kaliaus, Dikhow, NLR33671, NLR3083, NLR3217 and Ranjith varieties are being recommended for its cultivation in drought prone environment release and/or may be used in marker assisted breeding.

Pages: 784-787  |  947 Views  414 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
Jeevula BN, Eswara NPR, Ramesh PB and Srividhya A. Correlation and path coefficient analysis of rice genotypes for their yield components under drought condition. J Pharmacogn Phytochem 2019;8(4):784-787.

Call for book chapter