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Multiple Correlation and Partial Regression Coefficient:

The cummulative effect of different quantitative traits measured on unit area basis (m2 basis) on m2 yield has been investigated taking yield/m2 as dependent variable and other metrical traits as independent variables. Multiple correlation coefficient between yield/m2 and these characters was 0.956 (Table 1). This means that 95% variation in yield/m2 can be attributed to these characters. The significance of partial regression coefficients were tested through F-value which revealed that the contribution of plants/m2 was significantly negative and days to heading was not significant, while the other three parameters (spikes/ m2, seeds/m2 and harvest index) contributed significantly towards yield/m2. This trend is also confirmed by path-coefficient analysis in which plants/m2 have shown highest direct negative effect on yield/m2 (Table 1). These results are in good agreement with the results obtained by SINGH et al. (1979) in Triticum aestivum L.

From the path-coefficient and partial regression analyses carried out in the present study, it may be inferred that yield/m2 depends primarily on harvest index and spikes/m2 followed by seeds/m2 rather than on plants/m2.

Literature Cited

DEWEY. D.R. & K.H. LU. 1959. Agron. J. 51: 515-518.

JAIN, R.P., K.B. SINGH & R.S. MALHOTRA. 1975. Cereal Res. Comm. 3: 121-126.

LARIK, A.S. 1978. Genet. Agr. 32: 237-244.

LARIK, A.S. 1979. Wheat Infr. Serv. 50: 36-40.

LARIK, A.S. K.A. SIDDIQUI & A.H. SOOMRO. 1980. Pak. J. Bot. 12(1): 31-41.

SANDHA, G.S., D.S. PANNU & K.S. GILL. 1980. Cereal Res. Comm. 8(2) : 401-408.

SIDDIQUI, K.A., M.A. RAJPUT & K.H. TAHIR. 1980. Genet. Agr. 35: 89-100.

SINGH, D., M. SINGH & K.C. SHARMA. 1979. Cereal Res. Comm. 7(2) : 145-152.

SMOCEK, J. 1977. Cereal Res. Comm. 5(4): 439-450.

STEEL, R.G.D. & J.H. TORRIE. 1960. Principles and procedures of statistics. McGraw Hill Book Co. Inc. New York: 481 pp.


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