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CORRELATION AND PATH ANALYSIS STUDIES OF YIELD AND YIELD COMPONENTS IN RICE (Oryza sativa L.)
ISSN: 2277 - 7601
Publisher: author
CORRELATION AND PATH ANALYSIS STUDIES OF YIELD AND YIELD COMPONENTS IN RICE (Oryza sativa L.)
Indexed in
Agriculture and Food Sciences
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 3
Article Operation Score: 3
Article Articles Score: 2
Article Accessibility Score: 3
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-0202
Publisher: Kiran Abasaheb More
International Journal Address (IAA):
IAA.ZONE/2277390807601
eISSN
:
2277 - 7601
VALID
ISSN Validator
Abstract
Character association and path analysis was studied in 24 lines (22 advanced line + 2 checks lines) of rice to select the better lines for yield, yield components and quality traits. The experiment was conduct in randomized complete block design with three replications at experimental farm, College of post graduate studies, Umiam, Meghalaya in the Kharif season of 2017. Correlation coefficient analysis assess the mutual relationship between two plant traits and establishes the yield components upon which selection is to be done for improvement in yield. Character association studies revealed significant and positive association of grain yield per plant with tillers per plant, panicle per plant, no. of grains per plant, spikelet fertility. Therefore, these characters could be used as criteria for selection of genotypes with high seed yield. Path coefficient analysis revealed highest direct effect on grain yield for number of grains per...
