Detalhe da pesquisa
1.
Deciphering temporal growth patterns in maize: integrative modeling of phenotype dynamics and underlying genomic variations.
New Phytol
; 242(1): 121-136, 2024 Apr.
Artigo
Inglês
| MEDLINE | ID: mdl-38348523
2.
Genetic modification can improve crop yields - but stop overselling it.
Nature
; 621(7979): 470-473, 2023 Sep.
Artigo
Inglês
| MEDLINE | ID: mdl-37773222
3.
Environment-specific selection alters flowering-time plasticity and results in pervasive pleiotropic responses in maize.
New Phytol
; 238(2): 737-749, 2023 04.
Artigo
Inglês
| MEDLINE | ID: mdl-36683443
4.
Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data.
J Exp Bot
; 74(17): 5307-5326, 2023 09 13.
Artigo
Inglês
| MEDLINE | ID: mdl-37279568
5.
Genetic mapping and prediction for novel lesion mimic in maize demonstrates quantitative effects from genetic background, environment and epistasis.
Theor Appl Genet
; 136(7): 155, 2023 Jun 17.
Artigo
Inglês
| MEDLINE | ID: mdl-37329482
6.
Root system size and root hair length are key phenes for nitrate acquisition and biomass production across natural variation in Arabidopsis.
J Exp Bot
; 73(11): 3569-3583, 2022 06 02.
Artigo
Inglês
| MEDLINE | ID: mdl-35304891
7.
Accurate prediction of maize grain yield using its contributing genes for gene-based breeding.
Genomics
; 112(1): 225-236, 2020 01.
Artigo
Inglês
| MEDLINE | ID: mdl-30826444
8.
Near-infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments.
Plant Genome
; : e20454, 2024 May 07.
Artigo
Inglês
| MEDLINE | ID: mdl-38715204
9.
Current challenges and future of agricultural genomes to phenomes in the USA.
Genome Biol
; 25(1): 8, 2024 Jan 03.
Artigo
Inglês
| MEDLINE | ID: mdl-38172911
10.
Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions.
G3 (Bethesda)
; 13(1)2023 01 12.
Artigo
Inglês
| MEDLINE | ID: mdl-36445027
11.
Cumulative temporal vegetation indices from unoccupied aerial systems allow maize (Zea mays L.) hybrid yield to be estimated across environments with fewer flights.
PLoS One
; 18(1): e0277804, 2023.
Artigo
Inglês
| MEDLINE | ID: mdl-36701283
12.
2018-2019 field seasons of the Maize Genomes to Fields (G2F) G x E project.
BMC Genom Data
; 24(1): 29, 2023 05 25.
Artigo
Inglês
| MEDLINE | ID: mdl-37231352
13.
2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative.
BMC Res Notes
; 16(1): 219, 2023 Sep 14.
Artigo
Inglês
| MEDLINE | ID: mdl-37710302
14.
Genomes to Fields 2022 Maize genotype by Environment Prediction Competition.
BMC Res Notes
; 16(1): 148, 2023 Jul 17.
Artigo
Inglês
| MEDLINE | ID: mdl-37461058
15.
Genetic variation in hydrogen cyanide potential of perennial sorghum evaluated by colorimetry.
Plant Direct
; 6(10): e448, 2022 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-36284735
16.
Phenomic data-facilitated rust and senescence prediction in maize using machine learning algorithms.
Sci Rep
; 12(1): 7571, 2022 05 09.
Artigo
Inglês
| MEDLINE | ID: mdl-35534655
17.
Genome-wide identification of genes enabling accurate prediction of hybrid performance from parents across environments and populations for gene-based breeding in maize.
Plant Sci
; 324: 111424, 2022 Nov.
Artigo
Inglês
| MEDLINE | ID: mdl-35995113
18.
Accurate prediction of complex traits for individuals and offspring from parents using a simple, rapid, and efficient method for gene-based breeding in cotton and maize.
Plant Sci
; 316: 111153, 2022 Mar.
Artigo
Inglês
| MEDLINE | ID: mdl-35151437
19.
Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize.
Plant Genome
; 14(2): e20102, 2021 07.
Artigo
Inglês
| MEDLINE | ID: mdl-34009740
20.
Validation of functional polymorphisms affecting maize plant height by unoccupied aerial systems discovers novel temporal phenotypes.
G3 (Bethesda)
; 11(6)2021 06 17.
Artigo
Inglês
| MEDLINE | ID: mdl-33822935