2019
DOI: 10.2135/cropsci2018.03.0177
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Abstract: One of the most critical aspects of agricultural experimentation is the proper choice of experimental design to control field heterogeneity, especially for large experiments. However, even with complex experimental designs, spatial variability may not be properly controlled if it occurs at scales smaller than blocks. Therefore, modeling spatial variability can be beneficial, and some studies even propose spatial modeling instead of experimental design. Our goal was to evaluate the effects of experimental desig… Show more

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Cited by 18 publications
(38 citation statements)
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“…The ALPHA design was the best option regardless of experimental size. These results are similar to those found by other studies (Qiao et al, 2000; Casler, 2015; Borges et al, 2019). This confirms the idea that designs such as the ALPHA design are beneficial when the number of treatments to be evaluated is greater and spatial variability is present in the field.…”
Section: Discussionsupporting
confidence: 93%
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“…The ALPHA design was the best option regardless of experimental size. These results are similar to those found by other studies (Qiao et al, 2000; Casler, 2015; Borges et al, 2019). This confirms the idea that designs such as the ALPHA design are beneficial when the number of treatments to be evaluated is greater and spatial variability is present in the field.…”
Section: Discussionsupporting
confidence: 93%
“…Six experimental designs with four levels of correction for spatial variability were evaluated in six locations through a simulation process following Borges et al (2019). Yield data from genotypes were simulated according to an experimental design using real field variability maps, and genotypic effects were predicted for each location based on historical information.…”
Section: Methodsmentioning
confidence: 99%
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