International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 10, Issue:3, March, 2021

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2021.10(3): 1235-1245

Studies on the Inter-relationship among Various Morpho-physiological Characters with Reference to Yield in Rice (Oryza sativa L.)
Abhimanyu1, Rajat Chaudhary1, Vijay Kamal1, Anurag Mishra1 and Pooran Chand2
1Division of Genetics, Indian Agricultural Research Institute New Delhi-110012
2Sardar Vallabhbhai Patel University of Agriculture & Technology,Meerut- 250 110 (U.P.), India
*Corresponding author

The cultivated rice (Oryza sativa L.) belongs to the family Poaceae, is the most important food for a large part of the world's population, especially in East, South and South East Asia. The present investigation involving forty-five genotypes was undertaken to assess correlation coefficient and path coefficient analysis. All the forty-five rice genotypes were evaluated in randomized complete block design with three replications during Kharif 2017. Observations were recorded for morphological traits viz., days to 50% flowering, days to maturity, plant height, number of reproductive tillers per plant, panicle length, number of grains per panicle, biological yield per plant, harvest index, test weight and grain yield per plant. Analysis of variance revealed substantial amount of variability among the genotypes for all the characters under study, indicated wide spectrum of variability among the genotypes. Correlation and path analysis indicated that effective improvement in grain yield may be obtained by improving number of reproductive tillers per plant, number of grains per panicle, biological yield per plant, harvest index and test weight also can be considered as guidelines for further breeding work to develop desired plant type.

Keywords: Genetic advance, Path coefficient, Genetic divergence and genetic variability

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How to cite this article:

Ramya, H. R., M. C. A. Devi, N. Naveena and Subhash, S. 2021. Constraints Analysis in Integrated Farming System in Select Agro-Climatic Zones of Karnataka State.Int.J.Curr.Microbiol.App.Sci. 10(3): 1235-1245. doi:
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