INDIAN JOURNAL OF PURE & APPLIED BIOSCIENCES

ISSN (E) : 2582 – 2845

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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2019 , Volume 7, Issue 3
Page No. : 195-202
Article doi: : http://dx.doi.org/10.18782/2320-7051.7445

Drought Tolerance in Upland Rice: Genetic Variability and Correlation Analysis

Ivy Mary Rajan*and C. Lekha Rani

Department of Plant Breeding and Genetics, College of Agriculture, Vellayani, Trivandrum
*Corresponding Author E-mail: ivymary93@gmail.com
Received: 24.04.2019 | Revised: 22.05.2019 | Accepted: 27.05.2019

 ABSTRACT

The genetic material for the study comprised of three F2  populations (Vaishak x Vyttila 6, Vaishak x Harsha and Thottacheera x Harsha) and their parents (Vaishak, Thottacheera, Vyttila 6 and Harsha). In the experiment  the genotypes were raised in the field under rainfed upland condition exposed to natural stress. The characters studied were days to 50% flowering, nature of panicle exsertion, leaf rolling score, plant height at maturity (cm), number of productive tillers plantˉ¹, number of filled grains panicleˉ¹, spikelet sterility(%), 1000 grain weight(g), grain yield plantˉ¹(g), straw yield plantˉ¹(g) and harvest index(%). Based on the mean performance of the genotypes, the F segregants, Vaishak x Harsha  and the parents, Vaishak and  Vyttila 6 performed well under upland condition. The correlation analysis revealed that among parents, there was significant positive correlation for number of filled grains panilceˉ¹ and 1000 grain weight with grain yield plantˉ¹ whereas  in F2 populations, grain yield plantˉ¹ was positively correlated with number of filled grains panicleˉ¹, 1000 grain weight and harvest index. In both the cases spikelet  sterility(%) recorded a significant negative correlation with grain yield    plant-1.

 Key words: Genotypes, Upland, Rainfed, F2 segregants, Correlation

 

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782/2320-7051.7445

Cite this article:

Rajan, I.M. and Lekha Rani, C., Drought Tolerance in Upland Rice: Genetic Variability and Correlation Analysis, Int. J. Pure App. Biosci. 7(3): 195-202 (2019). doi: http://dx.doi.org/10.18782/2320-7051.7445




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