| Year |
Citation |
Score |
| 2023 |
Adak A, Kang M, Anderson SL, Murray SC, Jarquin D, Wong RKW, Katzfuß M. Phenomic data-driven biological prediction of maize through field-based high throughput phenotyping integration with genomic data. Journal of Experimental Botany. PMID 37279568 DOI: 10.1093/jxb/erad216 |
0.605 |
|
| 2022 |
Adak A, Murray SC, Anderson SL. Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions. G3 (Bethesda, Md.). PMID 36445027 DOI: 10.1093/g3journal/jkac294 |
0.606 |
|
| 2021 |
Adak A, Murray SC, Anderson SL, Popescu SC, Malambo L, Romay MC, de Leon N. Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize. The Plant Genome. e20102. PMID 34009740 DOI: 10.1002/tpg2.20102 |
0.626 |
|
| 2021 |
Adak A, Conrad C, Chen Y, Wilde SC, Murray SC, Anderson S, Subramanian NK. Validation of Functional Polymorphisms Affecting Maize Plant Height by Unoccupied Aerial Systems (UAS) Discovers Novel Temporal Phenotypes. G3 (Bethesda, Md.). PMID 33822935 DOI: 10.1093/g3journal/jkab075 |
0.632 |
|
| 2020 |
Anderson SL, Murray SC. R/UAStools::plotshpcreate: Create Multi-Polygon Shapefiles for Extraction of Research Plot Scale Agriculture Remote Sensing Data. Frontiers in Plant Science. 11: 511768. PMID 33101323 DOI: 10.3389/fpls.2020.511768 |
0.521 |
|
| 2020 |
Anderson SL, Murray SC, Chen Y, Malambo L, Chang A, Popescu S, Cope D, Jung J. Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci. Plant Direct. 4: e00223. PMID 32399510 DOI: 10.1002/pld3.223 |
0.625 |
|
| 2018 |
Anderson SL, Mahan AL, Murray SC, Klein PE. Four Parent Maize (FPM) Population: Effects of Mating Designs on Linkage Disequilibrium and Mapping Quantitative Traits. The Plant Genome. 11. PMID 30025026 DOI: 10.3835/Plantgenome2017.11.0102 |
0.514 |
|
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