Genotypic correlation and path analysis study in rice (Oryza sativa l.) Under irrigated and rainfed conditions

Saumya Awasthi*, J. P. Lal


While selecting a suitable plant type, correlation studies would provide reliable information on nature, extent and direction of selection, especially when the breeder needs to combine high potentials with desirable agronomic traits and grain quality characters. Path coefficient analysis on the other hand is an efficient statistically technique specially designed to quantify the interrelationship of different components and their direct and indirect effects on grain yield. This approach is more important to comprehend genetic makeup of dependent trait when the determining component characters are correlated. The experimental material for the present study comprised of 25 entries (6 parents + 9 F1’s + 9 F2’s + 1 check), planted in a compact family block design with three replications. HUR 3022, HUR 105 and Sarjoo 52 were planted as lines and Nagina 22, Anjali and Birsa Gora were treated as testers. The experiment was conducted in two water regimes: irrigated and rainfed conditions, respectively. All experimental materials were tested under both the conditions. Recommended agronomic practices were followed to grow a healthy crop. Observations were recorded on 20 randomly selected plants per replication for eleven characters viz., seedling height (SH), plant height (PH), stomatal behavior (SB), leaf rolling (LR), stay green (SG), panicle weight (PW), percent filled grains (PFG), spikelet per panicle (SPP), thousand grain weight (TGW), yield per plant (YPP) and proline content (PC). The mean values recorded for eleven characters in F2 generation were used for statistical analysis. The results of this research showed that indirect se­lections for increasing the number of SPP and decreasing SH and PH under both the conditions can be suitable to improve paddy yield of rice in breeding programs. The component traits such as, PC, SB, LR, SG, PFG, TGW and YPP singly or in combinations appear to be most important towards enhancing seed yield and also drought tolerance in transgressive segregants.


Rice; genotypic correlation coefficient; path coefficient; irrigated; rainfed water regimes.

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Boyer JS.1982. Plant productivity and environment. Science. 218: 443.

Cruz RT and O’Toole JC. 1984. Dry land rice response to an irrigation gradient at flowering stage. Agron J. 76: 178 – 183.

Dewey DR and Lu KH. 1959. A correlation and path analysis of components of crested wheat grass seed production. Agron. J. 57: 515 — 518.

Dey MM and Upadhyaya HK. 1996. Yield loss due to drought, cold and submergence tolerance. In: Evenson RE, Herdt RW and Hossain M (Eds.), Rice Research in Asia: Progress and Priorities. International Rice Research Institute in Collaboration with CAB International, UK.

Grafius JG. 1959. Genetic and environmental relationship of components of yield, maturity and plant height in F2 - F3 soybean populations. Iowa State Coll. J. Sci., 30: 373 – 374.

Kavitha S and Reddi SRN. 2001. Correlation and path analysis of yield components in Rice. The Andhra Agril J. 48 (3- 4): 311 – 314.

Kumar Y, Singh BN, Verma OP, Tripathi S and Dwivedi DK. 2011. Correlation and Path coefficient Analysis in Scented Rice (Oryza sativa L.) under Sodicity. Environ. & Ecol. 29 (3B): 1550 - 1556.

Petit JR, Jouzel J and Raynaud D. 1999. Climate and atmospheric history of the past 420 000 years from the Vostok ice core, Antarctica. Nature. 399: 429–436.

Matsushima S. 1966. Theory of Yield Determination and Its Application. Fuji Publishing, Tokyo. Crop Sci. in Rice. 365.

Singh MP. 2009. Rice productivity in India under variable climates, www. Niaes, affrc,,,,/W2-02_singh_pdt.

Singh RK and BD Chaudhary. 1985. Biometrical methods in quantitative genetic analysis. Kalyani Publishers, N. Delhi, India

Wang FZ, Wang QB, Kwon SY, Kwak SS. and Su WA. 2005. Enhanced drought tolerance of transgenic rice plants expressing a pea manganese superoxide dismutase, J. Plant Physiol. 162: 465 - 472.

Yogameenakshi P, Nadarajan N and Anbumalarmathi J. 2004. Correlation and path analysis on yield and drought tolerant attributes in rice (Oryza sativa L.) under drought stress. Oryza. 41 (3&4): 68- 70.

Zhu JK. 2002. Salt and drought stress signal transduction in plants, Annu. Rev. Plant Biol. 53: 247– 273.

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