Agronomy Journal Grow Your Career With ASA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Figures Only
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (4)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Casler, M. D.
Right arrow Articles by Undersander, D. J.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Casler, M. D.
Right arrow Articles by Undersander, D. J.
Agricola
Right arrow Articles by Casler, M. D.
Right arrow Articles by Undersander, D. J.
Related Collections
Right arrow Alfalfa
Right arrow Experiment Design
Right arrow Plant and Environment Interactions
Right arrow Statistics
Agronomy Journal 92:1064-1071 (2000)
© 2000 American Society of Agronomy

ALFALFA

Forage Yield Precision, Experimental Design, and Cultivar Mean Separation for Alfalfa Cultivar Trials

Michael D. Casler and Daniel J. Undersander

Dep. of Agronomy, Univ. of Wisconsin-Madison, 1575 Linden Dr., Madison, WI 53706-1597 USA

mdcasler{at}facstaff.wisc.edu

As alfalfa (Medicago sativa L.) cultivars have become more numerous in recent years, the issue of precison of alfalfa forage yield determinations has become more important. The objective of this study was to develop a set of recommendations for improving the precision of alfalfa cultivar forage-yield estimates. Inferences were derived from 49 alfalfa cultivar trials conducted at 13 Wisconsin locations between 1984 and 1996. Although randomized complete block designs were sometimes effective, spatial analysis offers considerable potential for improved precision. Increasing the number of replicates was expected to be more effective than increasing plot size. Trial data should be discarded only when severe and irreversible biological or physical disturbances are present. If researchers feel the need to discard data or entire trials on the basis of low statistical precision as an additional criterion, the decision should be based on (i) nonsignificant F-tests for cultivars of all individual years and for the combined over-years analysis or (ii) an unusually high mean square error relative to the trial mean or range among cultivar means. Trial data should not be rejected based on the coefficient of variation (CV). Genotype x environment interactions followed patterns based largely on expectations of edaphic and climatic environmental differences. Inherent precision of alfalfa cultivar trials did not influence cultivar rankings per se.

Abbreviations: AES, agricultural experiment stations • CV, coefficient of variation • LSR, least significant range • MCV, modified coefficient of variation • RE, relative efficiency




This article has been cited by other articles:


Home page
Crop Sci.Home page
K. F. Smith and M. D. Casler
Spatial Analysis of Forage Grass Trials across Locations, Years, and Harvests
Crop Sci., January 1, 2004; 44(1): 56 - 62.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Crop Science Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2000 by the American Society of Agronomy.