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On the use of multiple lattice designs and α‐designs in plant breeding trials
4 references·0 citing·15 second hop
On the use of multiple lattice designs and α‐designs in plant breeding trials (2006)On the use of multiple lattice designs an…Construction of Resolvable Spatial Row–Column Designs (2005)Construction of Resolvable Sp…Experimental Design and Analysis for Tree Improvement (2002)Experimental Design and Analy…Accounting for Natural and Extraneous Variation in the Analysis of Field Experiments (1997)Accounting for Natural and Ex…Cyclic and Computer Generated Designs (1995)Cyclic and Computer Generated…Nearest Neighbour (Nn) Analysis of Field Experiments (1983)Residual Maximum Likelihood (REML) Estimation of a Neighbour Model for Field Experiments (1987)Spatial Analysis of Field Experiments-An Extension to Two Dimensions (1991)Why Randomize Agricultural Experiments? (2013)Can Spatial Modeling Substitute for Experimental Design in Agricultural Experiments? (2018)Do Spatial Designs Outperform Classic Experimental Designs? (2020)STATISTICS FOR SPATIAL DATA (1992)Enhanced diagnostics for the spatial analysis of field trials (2009)Statistical Principles for the Design of Experiments (2012)Correcting for spatial heterogeneity in plant breeding experiments with P-splines (2017)An Algorithmic Approach to Constructing Supersaturated Designs (1996)Augmented p-rep designs (2010)A tutorial on the statistical analysis of factorial experiments with qualitative and quantitative treatment factor levels (2018)A Note on the Analysis of Designed Experiments with Complex Treatment Structure (2006)Accounting for variation in designing greenhouse experiments with special reference to greenhouses containing plants on conveyor systems (2013)
this work references cited by second hop

References

  • 1997Accounting for Natural and Extraneous Variation in the Analysis of Field Experiments752 cited
  • 2002Experimental Design and Analysis for Tree Improvement160 cited
  • 1995Cyclic and Computer Generated Designs159 cited
  • 2005Construction of Resolvable Spatial Row–Column Designs63 cited

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