Agronomy Journal Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 27 June 2006
Published in Agron J 98:1081-1089 (2006)
DOI: 10.2134/agronj2005.0326
© 2006 American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Abstract Freely available
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 (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Parsons, D.
Right arrow Articles by Gauch, H. G.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Parsons, D.
Right arrow Articles by Gauch, H. G.
Agricola
Right arrow Articles by Parsons, D.
Right arrow Articles by Gauch, H. G.
Related Collections
Right arrow Forage Management
Right arrow Best Management Practices

Estimation of Preharvest Fiber Content of Mixed Alfalfa–Grass Stands in New York

D. Parsons, J. H. Cherney* and H. G. Gauch

Department of Crop and Soil Sci., Cornell Univ., Ithaca, NY 14853


Figure 1
View larger version (22K):

[in a new window]
 
Fig. 1. Components of mean squared deviation (MSD) for mixed alfalfa–grass multiple regression models. The three components are squared bias (SB), non-unity slope (NU), and lack of correlation (LC). Equation numbers correspond to models listed in Table 4.

 

Figure 2
View larger version (23K):

[in a new window]
 
Fig. 2. Components of mean squared deviation (MSD) for mixed alfalfa–grass multiple regression models using categories for the fraction of grass in the sward. The three components are squared bias (SB), non-unity slope (NU), and lack of correlation (LC). Equation numbers correspond to models listed in Table 6.

 





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 © 2006 by the American Society of Agronomy.