Potgieter AB - Search Results

1

Scaling up high-throughput phenotyping for abiotic stress selection in the field.

Smith DT, Potgieter AB, Chapman SC. Smith DT, et al. Among authors: potgieter ab. Theor Appl Genet. 2021 Jun;134(6):1845-1866. doi: 10.1007/s00122-021-03864-5. Epub 2021 Jun 2. Theor Appl Genet. 2021. PMID: 34076731 Review.

2

Multi-Spectral Imaging from an Unmanned Aerial Vehicle Enables the Assessment of Seasonal Leaf Area Dynamics of Sorghum Breeding Lines.

Potgieter AB, George-Jaeggli B, Chapman SC, Laws K, Suárez Cadavid LA, Wixted J, Watson J, Eldridge M, Jordan DR, Hammer GL. Potgieter AB, et al. Front Plant Sci. 2017 Sep 8;8:1532. doi: 10.3389/fpls.2017.01532. eCollection 2017. Front Plant Sci. 2017. PMID: 28951735 Free PMC article.

3

Aerial Imagery Analysis - Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy.

Guo W, Zheng B, Potgieter AB, Diot J, Watanabe K, Noshita K, Jordan DR, Wang X, Watson J, Ninomiya S, Chapman SC. Guo W, et al. Among authors: potgieter ab. Front Plant Sci. 2018 Oct 23;9:1544. doi: 10.3389/fpls.2018.01544. eCollection 2018. Front Plant Sci. 2018. PMID: 30405675 Free PMC article.

4

Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops.

Furbank RT, Jimenez-Berni JA, George-Jaeggli B, Potgieter AB, Deery DM. Furbank RT, et al. Among authors: potgieter ab. New Phytol. 2019 Sep;223(4):1714-1727. doi: 10.1111/nph.15817. Epub 2019 Apr 26. New Phytol. 2019. PMID: 30937909 Free article. Review.

5

A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting.

Ghosal S, Zheng B, Chapman SC, Potgieter AB, Jordan DR, Wang X, Singh AK, Singh A, Hirafuji M, Ninomiya S, Ganapathysubramanian B, Sarkar S, Guo W. Ghosal S, et al. Among authors: potgieter ab. Plant Phenomics. 2019 Jun 27;2019:1525874. doi: 10.34133/2019/1525874. eCollection 2019. Plant Phenomics. 2019. PMID: 33313521 Free PMC article.

6

Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery.

Zhao Y, Zheng B, Chapman SC, Laws K, George-Jaeggli B, Hammer GL, Jordan DR, Potgieter AB. Zhao Y, et al. Among authors: potgieter ab. Plant Phenomics. 2021 Oct 1;2021:9874650. doi: 10.34133/2021/9874650. eCollection 2021. Plant Phenomics. 2021. PMID: 34676373 Free PMC article.

7

Estimating Photosynthetic Attributes from High-Throughput Canopy Hyperspectral Sensing in Sorghum.

Zhi X, Massey-Reed SR, Wu A, Potgieter A, Borrell A, Hunt C, Jordan D, Zhao Y, Chapman S, Hammer G, George-Jaeggli B. Zhi X, et al. Plant Phenomics. 2022 Apr 8;2022:9768502. doi: 10.34133/2022/9768502. eCollection 2022. Plant Phenomics. 2022. PMID: 35498954 Free PMC article.

8

Genetic basis of sorghum leaf width and its potential as a surrogate for transpiration efficiency.

Zhi X, Hammer G, Borrell A, Tao Y, Wu A, Hunt C, van Oosterom E, Massey-Reed SR, Cruickshank A, Potgieter AB, Jordan D, Mace E, George-Jaeggli B. Zhi X, et al. Among authors: potgieter ab. Theor Appl Genet. 2022 Sep;135(9):3057-3071. doi: 10.1007/s00122-022-04167-z. Epub 2022 Aug 7. Theor Appl Genet. 2022. PMID: 35933636 Free PMC article.

9

From Prototype to Inference: A Pipeline to Apply Deep Learning in Sorghum Panicle Detection.

James C, Gu Y, Potgieter A, David E, Madec S, Guo W, Baret F, Eriksson A, Chapman S. James C, et al. Plant Phenomics. 2023;5:0017. doi: 10.34133/plantphenomics.0017. Epub 2023 Jan 16. Plant Phenomics. 2023. PMID: 37040294 Free PMC article.

10

High-Throughput Phenotyping of Dynamic Canopy Traits Associated with Stay-Green in Grain Sorghum.

Liedtke JD, Hunt CH, George-Jaeggli B, Laws K, Watson J, Potgieter AB, Cruickshank A, Jordan DR. Liedtke JD, et al. Among authors: potgieter ab. Plant Phenomics. 2020 Sep 4;2020:4635153. doi: 10.34133/2020/4635153. eCollection 2020. Plant Phenomics. 2020. PMID: 33313557 Free PMC article.

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