The Indian Journal of Genetics and Plant Breeding
SCOPUSWeb of Science
  • Year: 1989
  • Volume: 49
  • Issue: 2

Varietal Regression Analyses of Incomplete Data on Onion and Tomato by Three Different Methods of Fitting Constants

  • Author:
  • K. A. Balakrishnan, J. P. Jain, O. P. Dutta
  • Total Page Count: 5
  • Page Number: 203 to 207

Indian Agricultural Statistics Research Institute, New Delhi, 110012

*Project Directorate of Vegetable Research, IARI, New Delhi, 110012.

Abstract

This paper presents analyses of incomplete variety × environment data in respect of two vegetable crops, onion and tomato, by three different methods of fitting constants, viz. Freeman's two-stage least square analysis, Patterson's FTTCON analysis, and Digby's modified joint regression analysis. The relative rankings of varieties based on FITCON analysis mean, and modified Joint regression analysis are the same for both tomato and onion varieties and the sensitivities of the varieties also do not differ markedly from unity. Hence for varietal analysis in vegetable crops with incomplete data, the FTTCON procedure can be used with equal advantage vis-a-vis the operationally

Keywords

Varietal regression analyses, incomplete data, fitting constants, modified joint regression analysis