Pages that link to "Item:Q3078876"
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The following pages link to Analyzing Variety by Environment Data Using Multiplicative Mixed Models and Adjustments for Spatial Field Trend (Q3078876):
Displaying 27 items.
- A mixed model analysis of variance for multi-environment variety trials (Q451319) (← links)
- Predicting additive and non-additive genetic effects from trials where traits are affected by interplot competition (Q484765) (← links)
- Another look at Bayesian analysis of AMMI models for genotype-environment data (Q486188) (← links)
- Weighted estimation of AMMI and GGE models (Q725256) (← links)
- A recursive approach to detect multivariable conditional variance components and conditional random effects (Q959159) (← links)
- Estimation of factor analytic mixed models for the analysis of multi-treatment multi-environment trial data (Q2009124) (← links)
- The design of early-stage plant breeding trials using genetic relatedness (Q2084380) (← links)
- Analyzing the genotype-by-environment interactions under a randomization-derived mixed model (Q2260089) (← links)
- On some results of C. Radhakrishna Rao applicable to the analysis of multi-environment variety trials (Q2324038) (← links)
- On a mixed model analysis of multi-environment variety trials: a reconsideration of the one-stage and the two-stage models and analyses (Q2359167) (← links)
- Residual variance-covariance modelling in analysis of multivariate data from variety selection trials (Q2403464) (← links)
- Optimal design for early-generation plant-breeding trials with unreplicated or partially replicated test lines (Q2802768) (← links)
- Variable selection in linear mixed models using an extended class of penalties (Q2802814) (← links)
- A comparison of analysis methods for late-stage variety evaluation trials (Q2810417) (← links)
- Parametric bootstrap methods for testing multiplicative terms in GGE and AMMI models (Q2927616) (← links)
- A stage-wise approach for the analysis of multi-environment trials (Q3145588) (← links)
- Coregionalized Single- and Multiresolution Spatially Varying Growth Curve Modeling with Application to Weed Growth (Q3436535) (← links)
- Applications: The Analysis of Crop Variety Evaluation Data in Australia (Q4540780) (← links)
- Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates (Q4616839) (← links)
- The analysis of ordinal time-series data via a transition (Markov) model (Q5124873) (← links)
- A non-stationary spatial generalized linear mixed model approach for studying plant diversity (Q5124878) (← links)
- The use of a reference variety for comparisons in incomplete series of crop variety trials (Q5129147) (← links)
- Analyzing Multi‐environment Variety Trials Using Randomization‐Derived Mixed Models (Q5714628) (← links)
- Simple outlier detection for a multi‐environmental field trial (Q6047780) (← links)
- Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data* (Q6051630) (← links)
- Visualising the pattern of long‐term genotype performance by leveraging a genomic prediction model (Q6051676) (← links)
- Factor-analytic variance-covariance structures for prediction into a target population of environments (Q6649347) (← links)
