Statistical design and analysis for intercropping experiments. Volume I: Two crops
type: Item
instance of: scholarly article
title: Statistical design and analysis for intercropping experiments. Volume I: Two crops
zbMATH Open document ID: 0782.62100
author: Walter T. Federer
published in: Springer Series in Statistics
publication date: 1993-09-08T00:00:00Z
review text: This is the first of two volumes on statistical design and analysis of data for intercropping experiments. Intercropping here refers to the growing of two or more crops sequentially or concurrently on the same area of land. This volume deals with those situations in which we have mixtures of two crops and/or the individual (sole) crops while Volume II (to be published in the near future) will generalize to the situations having mixtures (intercrops) of more than two crops. The contents of Volume I are covered in 10 chapters, and the author has taken great care to present concepts and ideas in an order of increasing difficulty. After presenting in Chapter 1 some basic concepts and definitions together with other preliminary ideas, Chapter 2 deals with the situation in which there is one main and one supplementary crop. The situations when both crops are main crops and to analyze the individual crop responses are considered in Chapter 3. Both crops are considered to be main crops again in Chapter 4 but here a combined response for the yields of both the crops is required. This necessitates to create more variables as in a multivariate analysis. The objective in this chapter is to illustrate a number of approaches to analyzing data from intercropping experiments. The density of crops in all these chapters is held to be constant. Chapter 5 deals with those situations in which the density of crops is no longer held constant but is treated as a variable for both the crops, and the response is assumed to be a function of density. In the next chapter the responses are modeled in the same way as they are done for diallel crossing systems with the exception that responses are available for each member of the mixture. The material presented in Chapter 7 is closer to the ordinary diallel crossing situation, and deals with intercropping experiments for which individual crop responses are not available and there is only one response for the mixture for each variable measured. Cha…
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62-01
Mathematics Subject Classification ID: 62K99
zbMATH DE Number: 410738
zbMATH Keywords: variable crop density
zbMATH Keywords: intercropping experiments
zbMATH Keywords: main crops
zbMATH Keywords: individual crop responses
zbMATH Keywords: diallel crossing systems
zbMATH Keywords: spatial arrangements of two crops
zbMATH Keywords: density arrangements
zbMATH Keywords: replacement series experiments
zbMATH Keywords: linear programming approach
zbMATH Keywords: relative crowding coefficient
zbMATH Keywords: competitive ratio index
zbMATH Keywords: coefficient for total effective area
zbMATH Keywords: treatment designs
zbMATH Keywords: selection of treatments
zbMATH Keywords: points of reference
zbMATH Keywords: controls
zbMATH Keywords: problems
zbMATH Keywords: ecology
zbMATH Keywords: agriculture
reviewed by: D. V. Chopra
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 410738