Fred van Eeuwijk
Plant Science · 2001–2018
A researcher in the Science corpus: 11 papers; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Plant Science — 98 citations into it; #4,441 of 8,232 by trust here, #3,167 by citations
- Genetics — 88 citations into it; #6,517 of 6,854 by trust here, #3,435 by citations
- Statistics and Probability — 17 citations into it
- Molecular Biology — 10 citations into it
- Management Science and Operations Research — 6 citations into it
- Analytical Chemistry — 5 citations into it
- Artificial Intelligence — 5 citations into it
Whom Fred van Eeuwijk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Scott C. Chapman
- M. Malosetti
- Graeme L. Hammer
- Mark Cooper
- Paul H. C. Eilers
- Hugh G. Jr Gauch
- Jose Crossa
- Robert Tibshirani
- Matt P. Wand
- Alison B. Smith
Who trusts Fred van Eeuwijk overall
Papers from Fred van Eeuwijk's perspective
Ordered by how strongly the researchers Fred van Eeuwijk trusts endorse each paper. Same corpus, a different order for every researcher.
- Using crop simulation to generate genotype by environment interaction effects for sorghum in water-limited environments
- Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects (Agronomy Journal)
- Linear Mixed Models for Longitudinal Data (Technometrics)
- On the design of early generation variety trials with correlated data
- Inference of population structure using multilocus genotype data. (Genetics)
- Smoothing and mixed models (Computational statistics (Zeitschrift))
- Generalized Additive Models
- Flexible smoothing with P-splines: a unified approach
- Gene-to-phenotype models and complex trait genetics
- Curve and surface fitting with splines
Their papers
- Correcting for spatial heterogeneity in plant breeding experiments with P-splines (2018) — 238 citations
- What should students in plant breeding know about the statistical aspects of genotype × Environment interactions? (2016) — 244 citations
- Predicting responses in multiple environments : Issues in relation to genotype × Environment interactions (2016) — 92 citations
- Genome wide association analyses for drought tolerance related traits in barley (Hordeum vulgare L.) (2012) — 106 citations
- A correlation network approach to metabolic data analysis for tomato fruits (2008) — 89 citations
- Association mapping of quality traits in potato (Solanum tuberosum L.) (2008) — 122 citations
- A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.) (2008) — 164 citations
- Linkage Disequilibrium Mapping of Morphological, Resistance, and Other Agronomically Relevant Traits in Modern Spring Barley Cultivars (2005) — 172 citations
- Statistical models for genotype by environment data: from conventional ANOVA models to eco-physiological QTL models (2005) — 127 citations
- Mixed models including environmental covariables for studying QTL by environment interaction (2004) — 157 citations
- A comparative study of molecular and morphological methods of describing relationships between perennial ryegrass (Lolium perenne L.) varieties (2001) — 211 citations