Conley M - Search Results

1

Deploying a Proximal Sensing Cart to Identify Drought-Adaptive Traits in Upland Cotton for High-Throughput Phenotyping.

Thompson AL, Thorp KR, Conley M, Andrade-Sanchez P, Heun JT, Dyer JM, White JW. Thompson AL, et al. Among authors: conley m. Front Plant Sci. 2018 Apr 23;9:507. doi: 10.3389/fpls.2018.00507. eCollection 2018. Front Plant Sci. 2018. PMID: 29868041 Free PMC article.

2

Investigation of the Influence of Leaf Thickness on Canopy Reflectance and Physiological Traits in Upland and Pima Cotton Populations.

Pauli D, White JW, Andrade-Sanchez P, Conley MM, Heun J, Thorp KR, French AN, Hunsaker DJ, Carmo-Silva E, Wang G, Gore MA. Pauli D, et al. Among authors: conley mm. Front Plant Sci. 2017 Aug 17;8:1405. doi: 10.3389/fpls.2017.01405. eCollection 2017. Front Plant Sci. 2017. PMID: 28868055 Free PMC article.

3

A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping system.

Thompson AL, Thorp KR, Conley MM, Roybal M, Moller D, Long JC. Thompson AL, et al. Among authors: conley mm. Plant Methods. 2020 Jul 16;16:97. doi: 10.1186/s13007-020-00639-9. eCollection 2020. Plant Methods. 2020. PMID: 32695214 Free PMC article. Review.

4

Proximal Active Optical Sensing Operational Improvement for Research Using the CropCircle ACS-470, Implications for Measurement of Normalized Difference Vegetation Index (NDVI).

Conley MM, Thompson AL, Hejl R. Conley MM, et al. Sensors (Basel). 2023 May 24;23(11):5044. doi: 10.3390/s23115044. Sensors (Basel). 2023. PMID: 37299771 Free PMC article.

5

Response of upland cotton (Gossypium hirsutum L.) leaf chlorophyll content to high heat and low-soil water in the Arizona low desert.

Thompson AL, Conley MM, Herritt MT, Thorp KR. Thompson AL, et al. Among authors: conley mm. Photosynthetica. 2022 Apr 13;60(2):280-292. doi: 10.32615/ps.2022.014. eCollection 2022. Photosynthetica. 2022. PMID: 39650756 Free PMC article.

6

Leaf water potential of field crops estimated using NDVI in ground-based remote sensing-opportunities to increase prediction precision.

Dong X, Peng B, Sieckenius S, Raman R, Conley MM, Leskovar DI. Dong X, et al. Among authors: conley mm. PeerJ. 2021 Aug 18;9:e12005. doi: 10.7717/peerj.12005. eCollection 2021. PeerJ. 2021. PMID: 34466291 Free PMC article.

7

Visualizing Plant Responses: Novel Insights Possible Through Affordable Imaging Techniques in the Greenhouse.

Conley MM, Hejl RW, Serba DD, Williams CF. Conley MM, et al. Sensors (Basel). 2024 Oct 17;24(20):6676. doi: 10.3390/s24206676. Sensors (Basel). 2024. PMID: 39460157 Free PMC article.

8

C-H Bond Activation by Sulfated Zirconium Oxide is Mediated by a Sulfur-Centered Lewis Superacid.

Jammee R, Kolganov A, Groves MC, Pidko EA, Pidko E, Sydora OL, Conley M. Jammee R, et al. Among authors: conley m. Angew Chem Int Ed Engl. 2024 Dec 23:e202421699. doi: 10.1002/anie.202421699. Online ahead of print. Angew Chem Int Ed Engl. 2024. PMID: 39715725

9

Dissociable Contributions of Goal-Relevant Evidence and Goal-Irrelevant Familiarity to Individual and Developmental Differences in Conflict Recognition.

Weigard A, Suzuki T, Skalaban LJ, Conley M, Cohen AO, Garavan H, Heitzeg MM, Casey BJ, Sripada C, Heathcote A. Weigard A, et al. Among authors: conley m. Cogn Sci. 2024 Nov;48(11):e70019. doi: 10.1111/cogs.70019. Cogn Sci. 2024. PMID: 39587984 Free PMC article.

10

Use of digital food records in clinical settings: lessons in translation from a randomised controlled trial.

Barnett A, Mayr HL, Keating SE, Conley MM, Webb L, Jegatheesan DK, Staudacher HM, Macdonald GA, Kelly JT, Campbell KL, Hickman IJ. Barnett A, et al. Among authors: conley mm. J Hum Nutr Diet. 2025 Feb;38(1):e13389. doi: 10.1111/jhn.13389. J Hum Nutr Diet. 2025. PMID: 39587760 Clinical Trial.

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