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Journal Abstract Search

164 related items for PubMed ID: 34491493

  • 1. Selecting informative bands for partial least squares regressions improves their goodness-of-fits to estimate leaf photosynthetic parameters from hyperspectral data.
    Jin J, Wang Q, Song G.
    Photosynth Res; 2022 Jan; 151(1):71-82. PubMed ID: 34491493
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  • 2. Temporal instability of partial least squares regressions for estimating leaf photosynthetic traits from hyperspectral information.
    Song G, Wang Q, Jin J.
    J Plant Physiol; 2022 Dec; 279():153831. PubMed ID: 36252398
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  • 3. Beyond greenness: Detecting temporal changes in photosynthetic capacity with hyperspectral reflectance data.
    Barnes ML, Breshears DD, Law DJ, van Leeuwen WJD, Monson RK, Fojtik AC, Barron-Gafford GA, Moore DJP.
    PLoS One; 2017 Dec; 12(12):e0189539. PubMed ID: 29281709
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  • 4. High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity.
    Meacham-Hensold K, Montes CM, Wu J, Guan K, Fu P, Ainsworth EA, Pederson T, Moore CE, Brown KL, Raines C, Bernacchi CJ.
    Remote Sens Environ; 2019 Sep 15; 231():111176. PubMed ID: 31534277
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  • 6. Estimating photosynthetic traits from reflectance spectra: A synthesis of spectral indices, numerical inversion, and partial least square regression.
    Fu P, Meacham-Hensold K, Guan K, Wu J, Bernacchi C.
    Plant Cell Environ; 2020 May 15; 43(5):1241-1258. PubMed ID: 31922609
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  • 7. Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms.
    Fu P, Meacham-Hensold K, Guan K, Bernacchi CJ.
    Front Plant Sci; 2019 May 15; 10():730. PubMed ID: 31214235
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  • 8. Estimating peanut and soybean photosynthetic traits using leaf spectral reflectance and advance regression models.
    Buchaillot ML, Soba D, Shu T, Liu J, Aranjuelo I, Araus JL, Runion GB, Prior SA, Kefauver SC, Sanz-Saez A.
    Planta; 2022 Mar 24; 255(4):93. PubMed ID: 35325309
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  • 12. An optimality-based model explains seasonal variation in C3 plant photosynthetic capacity.
    Jiang C, Ryu Y, Wang H, Keenan TF.
    Glob Chang Biol; 2020 Nov 24; 26(11):6493-6510. PubMed ID: 32654330
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  • 13. High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (Glycine max) nested association mapping population.
    Montes CM, Fox C, Sanz-Sáez Á, Serbin SP, Kumagai E, Krause MD, Xavier A, Specht JE, Beavis WD, Bernacchi CJ, Diers BW, Ainsworth EA.
    Genetics; 2022 May 31; 221(2):. PubMed ID: 35451475
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  • 14. Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature.
    Serbin SP, Dillaway DN, Kruger EL, Townsend PA.
    J Exp Bot; 2012 Jan 31; 63(1):489-502. PubMed ID: 21984647
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  • 15. Rapid estimation of photosynthetic leaf traits of tropical plants in diverse environmental conditions using reflectance spectroscopy.
    Lamour J, Davidson KJ, Ely KS, Anderson JA, Rogers A, Wu J, Serbin SP.
    PLoS One; 2021 Jan 31; 16(10):e0258791. PubMed ID: 34665822
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  • 16. Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy.
    Wang S, Guan K, Wang Z, Ainsworth EA, Zheng T, Townsend PA, Li K, Moller C, Wu G, Jiang C.
    J Exp Bot; 2021 Feb 02; 72(2):341-354. PubMed ID: 32937655
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  • 17. Comparison of the A-Cc curve fitting methods in determining maximum ribulose 1.5-bisphosphate carboxylase/oxygenase carboxylation rate, potential light saturated electron transport rate and leaf dark respiration.
    Miao Z, Xu M, Lathrop RG, Wang Y.
    Plant Cell Environ; 2009 Feb 02; 32(2):109-22. PubMed ID: 19154228
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  • 18. Spectroscopy outperforms leaf trait relationships for predicting photosynthetic capacity across different forest types.
    Yan Z, Guo Z, Serbin SP, Song G, Zhao Y, Chen Y, Wu S, Wang J, Wang X, Li J, Wang B, Wu Y, Su Y, Wang H, Rogers A, Liu L, Wu J.
    New Phytol; 2021 Oct 02; 232(1):134-147. PubMed ID: 34165791
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  • 19. Plot-level rapid screening for photosynthetic parameters using proximal hyperspectral imaging.
    Meacham-Hensold K, Fu P, Wu J, Serbin S, Montes CM, Ainsworth E, Guan K, Dracup E, Pederson T, Driever S, Bernacchi C.
    J Exp Bot; 2020 Apr 06; 71(7):2312-2328. PubMed ID: 32092145
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  • 20. A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression.
    Burnett AC, Anderson J, Davidson KJ, Ely KS, Lamour J, Li Q, Morrison BD, Yang D, Rogers A, Serbin SP.
    J Exp Bot; 2021 Sep 30; 72(18):6175-6189. PubMed ID: 34131723
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