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Journal Abstract Search

146 related items for PubMed ID: 33735372

  • 1. Predicting photosynthetic capacity in tobacco using shortwave infrared spectral reflectance.
    Sexton T, Sankaran S, Cousins AB.
    J Exp Bot; 2021 May 28; 72(12):4373-4383. PubMed ID: 33735372
    [Abstract] [Full Text] [Related]

  • 2. 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 May 28; 12(12):e0189539. PubMed ID: 29281709
    [Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4. 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 15; 151(1):71-82. PubMed ID: 34491493
    [Abstract] [Full Text] [Related]

  • 5. 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 15; 26(11):6493-6510. PubMed ID: 32654330
    [Abstract] [Full Text] [Related]

  • 6. Using hyperspectral leaf reflectance to estimate photosynthetic capacity and nitrogen content across eastern cottonwood and hybrid poplar taxa.
    Kyaw TY, Siegert CM, Dash P, Poudel KP, Pitts JJ, Renninger HJ.
    PLoS One; 2022 Nov 15; 17(3):e0264780. PubMed ID: 35271605
    [Abstract] [Full Text] [Related]

  • 7. 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
    [Abstract] [Full Text] [Related]

  • 8. 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
    [Abstract] [Full Text] [Related]

  • 9. High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance.
    Yendrek CR, Tomaz T, Montes CM, Cao Y, Morse AM, Brown PJ, McIntyre LM, Leakey AD, Ainsworth EA.
    Plant Physiol; 2017 Jan 31; 173(1):614-626. PubMed ID: 28049858
    [Abstract] [Full Text] [Related]

  • 10. 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
    [Abstract] [Full Text] [Related]

  • 11. Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models.
    Zhang Y, Guanter L, Berry JA, Joiner J, van der Tol C, Huete A, Gitelson A, Voigt M, Köhler P.
    Glob Chang Biol; 2014 Dec 06; 20(12):3727-42. PubMed ID: 24953485
    [Abstract] [Full Text] [Related]

  • 12. 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 06; 43(5):1241-1258. PubMed ID: 31922609
    [Abstract] [Full Text] [Related]

  • 13. Strong thermal acclimation of photosynthesis in tropical and temperate wet-forest tree species: the importance of altered Rubisco content.
    Scafaro AP, Xiang S, Long BM, Bahar NHA, Weerasinghe LK, Creek D, Evans JR, Reich PB, Atkin OK.
    Glob Chang Biol; 2017 Jul 06; 23(7):2783-2800. PubMed ID: 27859952
    [Abstract] [Full Text] [Related]

  • 14. 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 06; 279():153831. PubMed ID: 36252398
    [Abstract] [Full Text] [Related]

  • 15. Vertical, horizontal and azimuthal variations in leaf photosynthetic characteristics within a Fagus crenata crown in relation to light acclimation.
    Iio A, Fukasawa H, Nose Y, Kato S, Kakubari Y.
    Tree Physiol; 2005 May 06; 25(5):533-44. PubMed ID: 15741146
    [Abstract] [Full Text] [Related]

  • 16. Estimating photosynthetic capacity from leaf reflectance and Chl fluorescence by coupling radiative transfer to a model for photosynthesis.
    Vilfan N, van der Tol C, Verhoef W.
    New Phytol; 2019 Jul 06; 223(1):487-500. PubMed ID: 30861144
    [Abstract] [Full Text] [Related]

  • 17. Seasonal variations in the relationship between sun-induced chlorophyll fluorescence and photosynthetic capacity from the leaf to canopy level in a rice crop.
    Li J, Zhang Y, Gu L, Li Z, Li J, Zhang Q, Zhang Z, Song L.
    J Exp Bot; 2020 Dec 31; 71(22):7179-7197. PubMed ID: 32902638
    [Abstract] [Full Text] [Related]

  • 18. Effect of leaf temperature on the estimation of photosynthetic and other traits of wheat leaves from hyperspectral reflectance.
    Khan HA, Nakamura Y, Furbank RT, Evans JR.
    J Exp Bot; 2021 Feb 24; 72(4):1271-1281. PubMed ID: 33252664
    [Abstract] [Full Text] [Related]

  • 19. Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat.
    Silva-Perez V, Molero G, Serbin SP, Condon AG, Reynolds MP, Furbank RT, Evans JR.
    J Exp Bot; 2018 Jan 23; 69(3):483-496. PubMed ID: 29309611
    [Abstract] [Full Text] [Related]

  • 20. Mesophyll conductance to CO2 in leaves of Siebold's beech (Fagus crenata) seedlings under elevated ozone.
    Watanabe M, Kamimaki Y, Mori M, Okabe S, Arakawa I, Kinose Y, Nakaba S, Izuta T.
    J Plant Res; 2018 Nov 23; 131(6):907-914. PubMed ID: 30203164
    [Abstract] [Full Text] [Related]

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