Midlands State University Library

Evaluation of three grass growth models to predict grass growth in Ireland/ (Record no. 168765)

MARC details
000 -LEADER
fixed length control field 02676nam a22003017a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241211081322.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241211b |||||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 00218596
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Language of cataloging English
Transcribing agency MSU
Description conventions rda
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number S3 JOU
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hurtado-Uria, Cristina
Relator term author
245 10 - TITLE STATEMENT
Title Evaluation of three grass growth models to predict grass growth in Ireland/
Statement of responsibility, etc. created by Cristina Hurtado-Uria, Deirdre Hennessy, Laurence Shalloo, R.P.O. Schulte, Luc Delaby and Declan O'Connor
264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Journal of agricultural science
Volume/sequential designation Volume 151, number 1,
520 3# - SUMMARY, ETC.
Summary, etc. Grass growth in temperate regions is highly seasonal and difficult to predict. A model that can predict grass growth from week to week would offer a valuable management and budgeting tool for grassland farmers. Many grass growth models have been developed, varying from simple empirical to complex mechanistic models. Three published grass growth models developed for perennial ryegrass swards in temperate climates were selected for evaluation: Johnson & Thornley (1983) (J&T model), Jouven et al. (2006) (J model) and Brereton et al. (1996) (B model). The models were evaluated using meteorological data and grass growth data from Teagasc Moorepark as a framework for further refinement for Irish conditions. The accuracy of prediction by the models was assessed using root mean square error (RMSE) and mean square prediction error (MSPE). The J&T model over-predicted grass growth in all 5 years examined and predicted a high primary grass growth peak, while the J and B models predicted grass growth closer to that measured. Overall, the J model had the smallest RMSE in 3 of the 5 years and the B model in 2 of the 5 years. In spring (February–April), the B model had the lowest RMSE and MSPE. In mid-season (April–August), the B model had the closest prediction to measured data (lowest RMSE), while in autumn (August–October) the J model had the closest prediction. The models with the greatest potential for grass growth prediction in Ireland, albeit with some modifications, are the J model and the B model.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Grass growth models
Form subdivision Manage grass supply
General subdivision Feed prediction
Geographic subdivision Ireland
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hennessy, Deirdre
Relator term co author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shalloo, Laurence
Relator term co author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schulte, R.P.O.
Relator term co author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Delaby, Luc
Relator term co author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name O'Connor, Declan
Relator term co author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1017/S0021859612000317
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library Journal Article 13/11/2014 Vol. 151, no.1 (pages 91-104)   S3 JOU 11/12/2024 11/12/2024 Journal Article For in house use only