1990
DOI: 10.1007/978-1-4613-8982-8_10
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Methods for Removing Spatial Variability from Field Research Trials

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Cited by 27 publications
(10 citation statements)
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“…We also note that grain yield had a spatial trend that yielded an autocorrelation length greater than 200 m. Consequently, grain yields from 25‐m plots would definitely not be independent. If observations from treatment experiments had to be analyzed using analysis of variance (ANOVA), a procedure like nearest neighbor analysis (NNA) (Mulla et al, 1990) would have to be applied prior to ANOVA in order to remove local trends, as was shown by Bhatti et al, 1991. Only if the variogram analysis yields a pure nugget effect after applying NNA are the assumptions underlying ANOVA met.…”
Section: Discussionmentioning
confidence: 99%
“…We also note that grain yield had a spatial trend that yielded an autocorrelation length greater than 200 m. Consequently, grain yields from 25‐m plots would definitely not be independent. If observations from treatment experiments had to be analyzed using analysis of variance (ANOVA), a procedure like nearest neighbor analysis (NNA) (Mulla et al, 1990) would have to be applied prior to ANOVA in order to remove local trends, as was shown by Bhatti et al, 1991. Only if the variogram analysis yields a pure nugget effect after applying NNA are the assumptions underlying ANOVA met.…”
Section: Discussionmentioning
confidence: 99%
“…Agricultural and soil research usually involves 4 large plots or large numbers of treatments and, therefore, large blocks which are rarely uniform. In 5 such cases, soil heterogeneity can result in low efficiency of the randomized complete block design 6 due to a large error term (Mulla et al, 1990;Brownie et al, 1993). Likewise, when local 7 heterogeneity is spatially structured, randomization and replication alone do not ensure that all 8 treatment comparisons are made with equal precision (van Es and van Es, 1993).…”
Section: Introductionmentioning
confidence: 99%
“…Besides these natural process some other agronomic practices like fertilization, crop rotation also influences these properties at greater extent. Variation in soil properties affect crop growth though reduction in effectiveness of uniformly applied fertilizer to the field as described by Mulla et al (1990). In past, variation in properties of soil has been determined through field experiments such as Rothamsted Classical Experiments by Johnston et al (1986) and Ecological Research Program by Risser (1991).…”
Section: Introductionmentioning
confidence: 99%