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1.
Deciphering temporal growth patterns in maize: integrative modeling of phenotype dynamics and underlying genomic variations.
New Phytol
; 242(1): 121-136, 2024 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-38348523
2.
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-37279568
3.
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-37329482
4.
Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize.
G3 (Bethesda)
; 2024 May 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-38776257
5.
Near-infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments.
Plant Genome
; : e20454, 2024 May 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-38715204
6.
Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions.
G3 (Bethesda)
; 13(1)2023 01 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-36445027
7.
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-36701283
8.
Phenomic data-facilitated rust and senescence prediction in maize using machine learning algorithms.
Sci Rep
; 12(1): 7571, 2022 05 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-35534655
9.
Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize.
Plant Genome
; 14(2): e20102, 2021 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-34009740
10.
Validation of functional polymorphisms affecting maize plant height by unoccupied aerial systems discovers novel temporal phenotypes.
G3 (Bethesda)
; 11(6)2021 06 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-33822935
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