Detalhe da pesquisa
1.
Phylogenomic discovery of deleterious mutations facilitates hybrid potato breeding.
Cell
; 186(11): 2313-2328.e15, 2023 05 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-37146612
2.
Elucidating the patterns of pleiotropy and its biological relevance in maize.
PLoS Genet
; 19(3): e1010664, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36943844
3.
Haplotype associated RNA expression (HARE) improves prediction of complex traits in maize.
PLoS Genet
; 17(10): e1009568, 2021 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34606492
4.
Integrating GWAS and TWAS to elucidate the genetic architecture of maize leaf cuticular conductance.
Plant Physiol
; 189(4): 2144-2158, 2022 08 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35512195
5.
Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence.
Proc Natl Acad Sci U S A
; 116(12): 5542-5549, 2019 03 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-30842277
6.
Predicting phenotypes from genetic, environment, management, and historical data using CNNs.
Theor Appl Genet
; 134(12): 3997-4011, 2021 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-34448888
7.
Breaking the curse of dimensionality to identify causal variants in Breeding 4.
Theor Appl Genet
; 132(3): 559-567, 2019 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-30547185
8.
Phylogeny, biogeography and character evolution in the tribe Desmodieae (Fabaceae: Papilionoideae), with special emphasis on the New Caledonian endemic genera.
Mol Phylogenet Evol
; 118: 108-121, 2018 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-28966123
9.
Genome-wide associations with flowering time in switchgrass using exome-capture sequencing data.
New Phytol
; 213(1): 154-169, 2017 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-27443672
10.
Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize.
Genome Biol
; 23(1): 183, 2022 09 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36050782
11.
Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassava.
Front Plant Sci
; 13: 1041925, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-37082510
12.
High-resolution genome-wide association study pinpoints metal transporter and chelator genes involved in the genetic control of element levels in maize grain.
G3 (Bethesda)
; 11(4)2021 04 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-33677522
13.
A sorghum practical haplotype graph facilitates genome-wide imputation and cost-effective genomic prediction.
Plant Genome
; 13(1): e20009, 2020 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-33016627
14.
Dominance Effects and Functional Enrichments Improve Prediction of Agronomic Traits in Hybrid Maize.
Genetics
; 215(1): 215-230, 2020 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-32152047
15.
Extensions of BLUP Models for Genomic Prediction in Heterogeneous Populations: Application in a Diverse Switchgrass Sample.
G3 (Bethesda)
; 9(3): 789-805, 2019 03 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-30651285
16.
Candidate Variants for Additive and Interactive Effects on Bioenergy Traits in Switchgrass (Panicum virgatum L.) Identified by Genome-Wide Association Analyses.
Plant Genome
; 11(3)2018 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-30512032
17.
Genome-Wide Association Study in Pseudo-F2 Populations of Switchgrass Identifies Genetic Loci Affecting Heading and Anthesis Dates.
Front Plant Sci
; 9: 1250, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30271414
18.
Accuracy of Genomic Prediction in Switchgrass (Panicum virgatum L.) Improved by Accounting for Linkage Disequilibrium.
G3 (Bethesda)
; 6(4): 1049-62, 2016 04 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-26869619
19.
Genome-wide association study based on multiple imputation with low-depth sequencing data: application to biofuel traits in reed canarygrass.
G3 (Bethesda)
; 5(5): 891-909, 2015 Mar 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-25770100