On the Analysis of Combined Experiments
By D. Blouin, E. Webster, J. Bond. Weed technology, 2011
423 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0557f62b3fb0dc80df2cec2c8584036c1ef6de1e
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In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- Effects of Nitrogen and Planting Seed Size on Cotton Growth, Development, and Yield (2013, background): “Considering environments as a random effect permits inferences about the treatments to be made over a range of environments (Blouin et al., 2011; Carmer et al.,1989).”
- Adequate zinc nutrition alleviates the adverse effects of heat stress in bread wheat (2010, methodology): “Although the heated plants were only removed from the growth room for 3 days, the two temperature treatments were considered as separate ‘environments’ and the data was analysed as a combined analysis over the two heat treatments with Heat treatment, Variety and Zinc level considered as fixed effect”
- Effect of tillage system on the root growth of spring wheat (2009, methodology): “Statistical analysis Annual data for each parameter over the whole 3-year period were subjected to analysis of variance (ANOVA), using a year-combined randomized complete block design as described by McIntosh (1983).”
- Using UAV Borne, Multi-Spectral Imaging for the Field Phenotyping of Shoot Biomass, Leaf Area Index and Height of West African Sorghum Varieties under Two Contrasted Water Conditions (2021, methodology): “The combined analysis of variance was performed to test the effect of variety, water regime and the interaction between variety and water regime (variety × water regime) using the method of ANOVA over combined locations suggested by Mcintosh [51].”
- Residual Herbicides for Palmer Amaranth Control (2011, background): “year and location was considered an environment (McIntosh, 1983), and environments were treated as fixed experimental effects whereas replications were treated as random experimental effects.”
- Empirical studies on agricultural impacts and adaptation (2014, background): “For example, McIntosh (1982) outlines how time-series variation over two or more field experiments can be combined in a statistical setting. Such field experiments have been used to examine not only the effects of weather variables, but more generally of all sort of inputs, including fertilizer, CO2”