Juan Burgueño

Plant Science · 2002–2020

A researcher in the Science corpus: 13 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 101 citations into it; #2,667 of 8,232 by trust here, #1,409 by citations
• Genetics — 98 citations into it; #2,346 of 6,854 by trust here, #1,101 by citations
• Statistics and Probability — 14 citations into it
• Management Science and Operations Research — 8 citations into it
• Animal Science and Zoology — 5 citations into it

Whom Juan Burgueño trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jose Crossa
2. Weikai Yan
3. P. Cornelius
4. G. de los Campos
5. Rong‐Cai Yang
6. Paul M. Vanraden
7. Hugh G. Jr Gauch
8. Hans-Peter Piepho
9. H. Braun
10. Alison B. Smith

Who trusts Juan Burgueño overall

1. Jose Crossa
2. G. de los Campos
3. Rong‐Cai Yang
4. Nicolas Heslot
5. Yongjun Li
6. Kent A. Weigel
7. A. Raza
8. Jean-Luc Jannink
9. Saeed Khaki
10. M. Sorrells

Papers from Juan Burgueño's perspective

Ordered by how strongly the researchers Juan Burgueño trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical Analysis of Yield Trials by AMMI and GGE
2. Efficient methods to compute genomic predictions. (Journal of Dairy Science)
3. The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values (Genetics)
4. Invited review: reliability of genomic predictions for North American Holstein bulls. (Journal of Dairy Science)
5. Prediction of total genetic value using genome-wide dense marker maps. (Genetics)
6. Cultivar Evaluation and Mega‐Environment Investigation Based on the GGE Biplot
7. Genomic measures of relationship and inbreeding
8. Genomic selection in plant breeding: from theory to practice. (Briefings in Functional Genomics)
9. The Genetic Architecture of Maize Flowering Time
10. Molecular Markers and Selection for Complex Traits in Plants: Learning from the Last 20 Years

Their papers

• META-R: A software to analyze data from multi-environment plant breeding trials (2020) — 333 citations
• GEA-R (Genotype x Environment Analysis with R for Windows) Version 4.1 (2018) — 104 citations
• Gains in Maize Genetic Improvement in Eastern and Southern Africa: II. CIMMYT Open-Pollinated Variety Breeding Pipeline (2017) — 84 citations
• Genomic Selection in Plant Breeding: Methods, Models, and Perspectives. (2017) — 1,416 citations
• Extending the Marker × Environment Interaction Model for Genomic‐Enabled Prediction and Genome‐Wide Association Analysis in Durum Wheat (2016) — 99 citations
• Genomic Prediction of Genetic Values for Resistance to Wheat Rusts (2012) — 108 citations
• Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers (2012) — 541 citations
• Prediction assessment of linear mixed models for multienvironment trials (2011) — 100 citations
• Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers (2010) — 728 citations
• Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution (2009) — 351 citations
• Using Factor Analytic Models for Joining Environments and Genotypes without Crossover Genotype × Environment Interaction (2008) — 107 citations
• Modeling genotype × environment interaction using additive genetic covariances of relatives for predicting breeding values of wheat genotypes (2006) — 140 citations
• Characterization of biocontrol activity of two yeast strains from Uruguay against blue mold of apple (2002) — 122 citations