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Indian Journal of Agricultural Research, volume 39 issue 3 (september 2005) : 203 - 207

DISCRIMINANT ANALYSIS FOR RICE-WHEAT SYSTEM HAVING THE SAME ATTRIBUTING CHARACTERS TOWARDS GRAIN YIELD

Praveen Singh, Gayatri Vishwakarma*

Affiliations

¹Department of Agronomy, Allahabad Agricultural Deemed University, Allahabad (UP), India

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Cite article:- Singh Praveen, Vishwakarma* Gayatri (2024). DISCRIMINANT ANALYSIS FOR RICE-WHEAT SYSTEM HAVING THE SAME ATTRIBUTING CHARACTERS TOWARDS GRAIN YIELD. Indian Journal of Agricultural Research. 39(3): 203 - 207. doi: .

ABSTRACT

A study was conducted to find out a predictive model through discriminant analysis in ricewheat system. The study was conducted taking plant height, grains per ear, ear length, harvest index and grain yield as independent variables. That predictive model provides the best discrimination between the rice and wheat crops. Discriminant function analysis is the appropriate statistical technique when the dependent variable (group of crops) is categorical and independent variables are metric. It reveals that effective tillers per plant contributed most towards grain yield in both the crops.

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REFERENCES

Arya, P.S. et al. (1999). Adv. Hort. For., 6: 99-106.
Basavaraja, P. et al. (1996). Crop Improv., 23: 80-82.
Choudhary, B.R. and joshi, P. (1996). Indian J. Genet., 56: 278-280.
Gangwar, K.S. and Sharma, S.K. (1996). Indian J. Agron., 41: 9-11.

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This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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DISCRIMINANT ANALYSIS FOR RICE-WHEAT SYSTEM HAVING THE SAME ATTRIBUTING CHARACTERS TOWARDS GRAIN YIELD

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