Articles citing this paper
Statistical methods for analysis of multi-harvest data from perennial pasture variety selection trials
Joanne De Faveri A F , Arūnas P. Verbyla B , Wayne S. Pitchford C , Shoba Venkatanagappa D and Brian R. Cullis E
+ Author Affiliations
- Author Affiliations
A Department of Agriculture and Fisheries, PO Box 1054, Mareeba, QLD, 4880, Australia.
B Data Analytics, CSIRO Digital Productivity Flagship and School of Agriculture, Food and Wine, The University of Adelaide,Atherton, QLD, 4883, Australia.
C School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy Campus, SA, 5371, Australia.
D NSW Department of Primary Industries, Tamworth, NSW, 2340, Australia. Current address: Enza Zaden Australia, Narromine, NSW, 2821, Australia.
E National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, University of Wollongong, NSW, 2522, Australia.
F Corresponding author. Email: Joanne.DeFaveri@daf.qld.gov.au
Crop and Pasture Science 66(9) 947-962 https://doi.org/10.1071/CP14312
Submitted: 23 November 2014 Accepted: 28 April 2015 Published: 4 September 2015
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