Adjustment of the treatment effects by controlling covariates in agricultural research. | [Sarhad Journal of Agriculture • 2007]

Author(s):

1. Zafar Mahmood: Department of Maths, Stats & Computer Science, NWFP Agricultural University, Peshawar, Pakistan

2. Zahid Hussain: Department of Maths, Stats & Computer Science, NWFP Agricultural University, Peshawar, Pakistan

3. Salahuddin: Department of Statistics, University of Peshawar, Pakistan

4. Bahrawar Jan: Department of Statistics, University of Peshawar, Pakistan

5. Muhammad Idrees: Department of Agricultural Extension and Communication, NWFP Agriculture University Peshawar, Pakistan

Abstract:

In most of agriculture research it is commonly observed that experimental data not only depends on the treatments but also functionally related to other ordinal or numeric variables. In such cases the treatment effect can be more precisely measured and compared only by analyzing the covariance`s of the data. In this paper different directions of ANCOVA applications in agricultural research are pointed and emphasized to measure the character of the primary interest. It is also attempted to explain the covariance analysis in agricultural research through citing examples. The role of the functional relationship between the covariates and primary interest variable is highlighted for the removal of the unnecessary effects.

Page(s): 509-513

DOI: DOI not available

Published: Journal: Sarhad Journal of Agriculture, Volume: 23, Issue: 2, Year: 2007

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