Toll Free Helpline (India): 1800 1234 070

Rest of World: +91-9810852116

Free Publication Certificate

Vol. 10, Issue 10 (2021)

Correlation and path analysis for yield and attributing traits in rice (Oryza sativa L.)

Author(s):
Amrita Giri, Ritu R Saxena, Biswajit Sahoo, Sadhna Saha, Suman Rawte, Ravi R Saxena, Sunil K Verma, SS Porte and SB Verulkar
Abstract:
An experiment was conducted in the field of department of molecular biology and biotechnology comprising of 46 lines of crosses Swarna x IBD-1, yield data were recorded on each lines and data were subjected to statistical analysis to estimate correlation and path analysis, which result revealed that significant differences present among genotypes for various yield attributing traits. Here we found that number of tillers, total number of spikelet’s, panicle length, thousand grain weight, biological yield per plant and harvest index were significantly associated with grain yield and also showed positive direct effect toward yield, hence these traits can be used for yield enhancement.
Pages: 1409-1412  |  266 Views  126 Downloads


The Pharma Innovation Journal
How to cite this article:
Amrita Giri, Ritu R Saxena, Biswajit Sahoo, Sadhna Saha, Suman Rawte, Ravi R Saxena, Sunil K Verma, SS Porte, SB Verulkar. Correlation and path analysis for yield and attributing traits in rice (Oryza sativa L.). Pharma Innovation 2021;10(10):1409-1412.

Call for book chapter