SPATIAL VARIABILITY MODELS TO IMPROVE DRYLAND FIELD TRIALS
By Murari Singh, R. S. Malhotra, S. Ceccarelli, A. Sarker, S. Grando, W. Erskine. Experimental Agriculture, 2003
90 citations recorded by the source corpus.
Subfields: Animal Science and Zoology, Management Science and Operations Research, Plant Science
View Paper: https://www.semanticscholar.org/paper/11ef6805b7b2bd303229c567a4c6a178071e0df8
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In Animal Science and Zoology
In Management Science and Operations Research
In Plant Science
Citations in the corpus
- A methodological study on participatory barley breeding II. Response to selection (2003, methodology): “We have adapted various spatial models from those used by Sarker et al. (2001) and a method of selection of best model based on Akaike Information Criterion (AIC) implemented by Singh et al. (2003) using Genstat codes (Genstat 5 Committee, 1997).”
- Efficiency of Plant Breeding (2015, methodology): “An additional problem observed in variety testing, and not only in developing countries, is the use of obsolete experimental designs and statistical analysis, with no attempts to capture spatial variability and correlation between the plot errors (Singh et al., 2003; Ceccarelli, 2012) or of increasi”
- Decentralized-participatory plant breeding: an example of demand driven research (2007, methodology): “ICARDA such as spatial analysis of replicated or unreplicated trials (Singh et al. 2003).”