Designing for and Analyzing Results from Field Experiments

Autor:	Walter T. Federer, José Crossa
Rok vydání:	2005
Předmět:	Computer science business.industry Model selection Design of experiments Soil Science Single-subject research Plant Science Industrial engineering Plot (graphics) Block design Software Genetics business Agronomy and Crop Science Selection (genetic algorithm) Block (data storage)
Zdroj:	Journal of Crop Improvement. 14:29-50
ISSN:	1542-7536 1542-7528
DOI:	10.1300/j411v14n01_04
Popis:	SUMMARY Some of the topics covered are statistical design axioms, plot technique, experiment design selection, block experiment designs, row-column experiment designs, unreplicated or screening experiment designs, exploratory model selection, multi-site/year trials, and parsimonious experiment designs. In line with the axiom “design for the experiment, do not experiment for the design,” two simple methods for constructing block experiment designs are described. In addition, a software toolkit for constructing optimal or near-optimal randomized plans of experiment designs for many situations is discussed. The effect of response model selection is illustrated with examples. Suggestions for increasing the efficiency of plant-breeding programs are given. Augmented and parsimonious experiment designs can be utilized to increase the efficiency of plant-breeding programs. Some remarks on the construction of these designs are given.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1c56766f2673be7b6fc1e33b3322e50e https://doi.org/10.1300/j411v14n01_04 Zobrazit plný text záznamu