Use of incomplete block designs in agricultural experiments
DOI:
https://doi.org/10.59797/ija.v57i2.4615Keywords:
----Abstract
The purpose of this article is to demonstrate the application of incomplete block designs with factorial struc- ture in agronomic experiments, particularly the crop sequences experiments. The paper also describes the use- fulness of incomplete split-plot designs in factorial experiments with many sub-plot treatments.References
Gupta V.K., Nigam A.K., Parsad Rajender, Bhar, L.M. and Behera Subrat Keshori. 2011. Resolvable block designs for factorial experiments with full main effects efficiency. Journal of the Indian Society of Agricultural Statistics 65(3): 30315_CIT_Gupta V.K. and Parsad Rajender 2009. Block designs for cropping systems research. NAAS News 8(2): 37_CIT_Hering F. and Mejza S. 2002. An incomplete split-plot design gen- erated by GDPBIBD (2)s. Journal of Statistical Planning and Inference 106: 12534_CIT_Kristensen Kristian 2012. Incomplete split plot designs based on - designs: a compromise between traditional split-plot designs and randomized complete block design. Euphytica 183: 40113_CIT_Mejza I. and Mejza S. 1984. Incomplete split-plot designs. Statistics and Probability Letters 2: 32732_CIT_Parsad Rajender, Gupta, V.K., Batra P.K., Satpati S.K. and Biswas Pabitra. 2007. Monograph on -designs. Indian Agricultural Statistics Research Institute, New Delhi_CIT_Parsad, Rajender, Gupta, V.K. and Prasad, N.S.G. 2003. Structurally incomplete row-column designs. Commun. Statist.-Theory &




