Akashi K, Yoshida K, Kuwano M et al (2011) Dynamic changes in the leaf proteome of a C3 xerophyte, Citrullus lanatus (wild watermelon), in response to water deficit. Planta 233:947–960
CAS
PubMed
Google Scholar
Ballester C, Zarco-Tejada PJ, Nicolás E et al (2018) Evaluating the performance of xanthophyll, chlorophyll and structure-sensitive spectral indices to detect water stress in five fruit tree species. Precision Agric 19:178–193
Google Scholar
Banerjee BP, Joshi S, Thoday-Kennedy E et al (2020) High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response. J Exp Bot 71:4604–4615
CAS
PubMed
PubMed Central
Google Scholar
Buddenbaum H, Rock G, Hill J et al (2015) Measuring stress reactions of beech seedlings with PRI, fluorescence, temperatures and emissivity from VNIR and thermal field imaging spectroscopy. Eur J Remote Sens 48:263–282
Google Scholar
Cha-um S, Yooyongwech S, Supaibulwatana K (2012) Water-deficit tolerant classification in mutant lines of indica rice. Sci Agric 69:135–141
Google Scholar
Chen J, Zhang Q, Chen B et al (2020) Evaluating multi-angle photochemical reflectance index and solar-induced fluorescence for the estimation of gross primary production in maize. Remote Sens 12:2812
Google Scholar
Davis GA, Rutherford AW, Kramer DM (2017) Hacking the thylakoid proton motive force for improved photosynthesis: modulating ion flux rates that control proton motive force partitioning into ΔΨ and ΔpH. Phil Trans R Soc B 372:20160381
PubMed
PubMed Central
Google Scholar
Demmig-Adams B, Adams WW (1992) Photoprotection and Other Responses of Plants to High Light Stress. Annu Rev Plant Physiol Plant Mol Biol 43:599–626
CAS
Google Scholar
Esposito S, Carputo D, Cardi T et al (2020) Applications and trends of machine learning in genomics and phenomics for next-generation breeding. Plants 9:34
CAS
Google Scholar
Filella I, Peñuelas J, Llorens L et al (2004) Reflectance assessment of seasonal and annual changes in biomass and CO2 uptake of a Mediterranean shrubland submitted to experimental warming and drought. Remote Sens Environ 90:308–318
Google Scholar
Filella I, Porcar-Castell A, Munné-Bosch S et al (2009) PRI assessment of long-term changes in carotenoids/chlorophyll ratio and short-term changes in de-epoxidation state of the xanthophyll cycle. Int J Remote Sens 30:4443–4455
Google Scholar
Fujita M, Tanabata T, Urano K et al (2018) RIPPS: a plant phenotyping system for quantitative evaluation of growth under controlled environmental stress conditions. Plant Cell Physiol 59:2030–2038
CAS
PubMed
PubMed Central
Google Scholar
Gamon JA, Berry JA (2012) Facultative and constitutive pigment effects on the Photochemical Reflectance Index (PRI) in sun and shade conifer needles. Israel J Plant Sci 60:85–95
Google Scholar
Gamon JA, Surfus JS (1999) Assessing leaf pigment content and activity with a reflectometer. New Phytol 143:105–117
CAS
Google Scholar
Gamon JA, Field CB, Bilger W et al (1990) Remote sensing of the xanthophyll cycle and chlorophyll fluorescence in sunflower leaves and canopies. Oecologia 85:1–7
CAS
PubMed
Google Scholar
Gamon JA, Peñuelas J, Field CB (1992) A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sens Environ 41:35–44
Google Scholar
Gamon JA, Filella I, Peñuelas J et al (1993) The dynamic 531-nanometer ∆ reflectance signal: a survey of twenty angiosperm species. In: Yamamoto HY, Smith CM (eds) Photosynthetic responses to the environment. American Society of Plant Physiologists, Rockville, pp 172–177
Google Scholar
Gamon JA, Serrano L, Surfus JS (1997) The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels. Oecologia 112:492–501
CAS
PubMed
Google Scholar
Gamon JA, Kovalchuck O, Wong CYS et al (2015) Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors. Biogeosciences 12:4149–4159
Google Scholar
Garbulsky MF, Peñuelas J, Gamon JA et al (2011) The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies: a review and meta-analysis. Remote Sens Environ 115:281–297
Google Scholar
Gilmore AM, Björkman O (1994) Adenine nucleotides and the xanthophyll cycle in leaves—I. Effects of CO2- and temperature-limited photosynthesis on adenylate energy charge and violaxanthin de-epoxidation. Planta 192:526–536
CAS
Google Scholar
Goss R, Lepetit B (2015) Biodiversity of NPQ. J Plant Physiol 172:13–32
CAS
PubMed
Google Scholar
Guo J, Gao Y, Wang Q et al (2014) Effect of nitrogen stress on relationship of PRI and LUE during winter wheat growth period. Proc SPIE 9263(92631A):8
Google Scholar
Hernández-Clemente R, Navarro-Cerrillo RM, Suárez L et al (2011) Assessing structural effects on PRI for stress detection in conifer forests. Remote Sens Environ 115:2360–2375
Google Scholar
Hmimina G, Dufrêne E, Soudani K (2014) Relationship between photochemical reflectance index and leaf ecophysiological and biochemical parameters under two different water statuses: towards a rapid and efficient correction method using real-time measurements. Plant Cell Environ 37:473–487
CAS
PubMed
Google Scholar
Hmimina G, Merlier E, Dufrêne E et al (2015) Deconvolution of pigment and physiologically related photochemical reflectance index variability at the canopy scale over an entire growing season. Plant Cell Environ 38:1578–1590
CAS
PubMed
Google Scholar
Ihuoma SO, Madramootoo CA (2019) Sensitivity of spectral vegetation indices for monitoring water stress in tomato plants. Comput Electron Agric 163:104860
Google Scholar
Julitta T, Corp LA, Rossini M et al (2016) Comparison of sun-induced chlorophyll fluorescence estimates obtained from four portable field spectroradiometers tommaso. Remote Sens 8:122
Google Scholar
Kato MC, Hikosaka K, Hirotsu N et al (2003) The excess light energy that is neither utilized in photosynthesis nor dissipated by photoprotective mechanisms determines the rate of photoinactivation in photosystem II. Plant Cell Physiol 44:318–325
CAS
PubMed
Google Scholar
Khalil F, Naiyan X, Tayyab M et al (2018) Screening of EMS-induced drought-tolerant sugarcane mutants employing physiological, molecular and enzymatic approaches. Agronomy 8:226
CAS
Google Scholar
Kohzuma K (2019) Evaluation of photosynthetic behaviors by simultaneous measurements of leaf reflectance and chlorophyll fluorescence analyses. J vis Exp 150:e59838
Google Scholar
Kohzuma K, Hikosaka K (2018) Physiological validation of photochemical reflectance index (PRI) as a photosynthetic parameter using Arabidopsis thaliana mutants. Biochem Biophys Res Commun 498:52–57
CAS
PubMed
Google Scholar
Kohzuma K, Cruz JA, Akashi K et al (2009) The long-term responses of the photosynthetic proton circuit to drought. Plant Cell Environ 32:209–219
CAS
PubMed
Google Scholar
Kohzuma K, Sato Y, Ito H et al (2017) The non-mendelian green cotyledon gene in soybean encodes a small subunit of photosystem II. Plant Physiol 173:2138–2147
CAS
PubMed
PubMed Central
Google Scholar
Kováˇc D, Veselovská P, Klem K (2018) Potential of photochemical reflectance index for indicating photochemistry and light use efficiency in leaves of European beech and Norway spruce trees. Remote Sens 10:1202
Google Scholar
Kramer DM (1999) How acidic in the lumen? Photosynth Res 60:151–163
CAS
Google Scholar
Kuhlgert S, Austic G, Zegarac R et al (2016) MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open photosynQ network. R Soc Open Sci 3:160592
PubMed
PubMed Central
Google Scholar
Liu L, Zhang Y, Jiao Q et al (2013) Assessing photosynthetic light-use efficiency using a solar-induced chlorophyll fluorescence and photochemical reflectance index. Int J Remote Sens 34:4264–4280
Google Scholar
Liu D, Jia Q, Li J et al (2020) Increased photosynthesis and grain yields in maize grown with less irrigation water combined with density adjustment in semiarid regions. Peer J 8:e9959
PubMed
PubMed Central
Google Scholar
Lobell DB, Hammer GL, McLean G et al (2013) The critical role of extreme heat for maize production in the United States. Nat Clim Chang 3:497–501
Google Scholar
Lobos GA, Camargo AV, Del Pozo A et al (2017) Plant phenotyping and phenomics for plant breeding. Front Plant Sci 8:2181
PubMed
PubMed Central
Google Scholar
Magney TS, Vierling LA, Eite JUH et al (2016) Response of high frequency Photochemical Reflectance Index (PRI) measurements to environmental conditions in wheat. Remote Sens Environ 173:84–97
Google Scholar
Malik W, Dechmi F (2019) DSSAT modelling for best irrigation management practices assessment under mediterranean conditions. Agric Water Manag 216:27–43
Google Scholar
Meroni M, Colombo R (2006) Leaf level detection of solar induced chlorophyll fluorescence by means of a subnanometer resolution spectroradiometer. Remote Sens Environ 103:438–448
Google Scholar
Morita R, Kusaba M, Iida S et al (2009) Molecular characterization of mutations induced by gamma irradiation in rice. Genes Gent Syst 84:361–370
CAS
Google Scholar
Oh D, Ryu JH, Oh S et al (2018) Optical sensing for evaluating the severity of disease caused by Cladosporium sp. in barley under warmer conditions. Plant Pathol J 34:236–240
PubMed
PubMed Central
Google Scholar
Ohkubo S, Tanaka Y, Yamori W et al (2020) Rice cultivar Takanari has higher photosynthetic performance under fluctuating light than Koshihikari, especially under limited nitrogen supply and elevated CO2. Front Plant Sci 11:1308
PubMed
PubMed Central
Google Scholar
Peng Y, Nguy-Robertson A, Arkebauer T et al (2017) Assessment of canopy chlorophyll content retrieval in maize and soybean: implications of hysteresis on the development of generic algorithms. Remote Sens 9:226
Google Scholar
Peñuelas J, Gamon JA, Fredeen AL et al (1994) Reflectance indices associated with physiological changes in nitrogen- and water-limited sunflower leaves. Remote Sens Environ 48:135–146
Google Scholar
Peñuelas J, Filella I, Gamon JA (1995) Assessment of photosynthetic radiation-use efficiency with spectral reflectance. New Phytol 131:291–296
Google Scholar
Peñuelas J, Garbulsky MF, Iolanda I (2011) Photochemical reflectance index (PRI) and remote sensing of plant CO2 uptake. New Phytol 191:596–599
PubMed
Google Scholar
Pinto F, Damm A, Schickling A et al (2016) Sun-induced chlorophyll fluorescence from high-resolution imaging spectroscopy data to quantify spatio-temporal patterns of photosynthetic function in crop canopies. Plant Cell Environ 39:1500–1512
CAS
PubMed
Google Scholar
Porcar-Castell A, Garcia-Plazaola JI, Nichol CJ et al (2012) Physiology of the seasonal relationship between the photochemical reflectance index and photosynthetic light use efficiency. Oecologia 170:313–323
PubMed
Google Scholar
Rahaman MM, Chen D, Gillani Z et al (2015) Advanced phenotyping and phenotype data analysis for the study of plant growth and development. Front Plant Sci 6:619
PubMed
PubMed Central
Google Scholar
Räsch AR, Muller O, Pieruschka R et al (2014) Field observations with laser-induced fluorescence transient (LIFT) method in barley and sugar beet. Agriculture 4:159–169
Google Scholar
Ripullone F, Rivelli AR, Baraldi R et al (2011) Effectiveness of the photochemical reflectance index to track photosynthetic activity over a range of forest tree species and plant water statuses. Funct Plant Biol 38:177–186
CAS
PubMed
Google Scholar
Rossini M, Nedbal L, Guanter L et al (2015) Red and far-red Sun-induced chlorophyll fluorescence as a measure of plant photosynthesis. Geophys Res Lett 42:1632–1639
CAS
Google Scholar
Roy PC, Guber A, Abouali M et al (2019) Crop yield simulation optimization using precision irrigation and subsurface water retention technology. Environ Model Softw 119:433–444
Google Scholar
Sarlikioti V, Driever SM, Marcelis LFM (2010) Photochemical reflectance index as a mean of monitoring early water stress. Ann Appl Biol 157:81–89
CAS
Google Scholar
Sims DA, Gamon JA (2002) Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens Environ 81:337–354
Google Scholar
Sishodia P, Ray RL, Singh SK (2020) Applications of remote sensing in precision agriculture: a review. Remote Sens 12:3136
Google Scholar
Soudani K (2014) Relationships between photochemical reflectance index and light-use efficiency in deciduous and evergreen broadleaf forests. Remote Sens Environ 144:73–84
Google Scholar
Stylinski C, Gamon J, Oechel W (2002) Seasonal patterns of reflectance indices, carotenoid pigments and photosynthesis of evergreen chaparral species. Oecologia 131:366–374
CAS
PubMed
Google Scholar
Suárez L, Zarco-Tejada PJ, Berni JAJ et al (2009) Modelling PRI for water stress detection using radiative transfer models. Remote Sens Environ 113:730–744
Google Scholar
Suárez L, Zarco-Tejada PJ, González-Dugo V et al (2010) Detecting water stress effects on fruit quality in orchards with time-series PRI airborne imagery. Remote Sens Environ 114:286–298
Google Scholar
Takai T, Adachi S, Taguchi-Shiobara F et al (2013) A natural variant of NAL1, selected in high-yield rice breeding programs, pleiotropically increases photosynthesis rate. Sci Rep 3:2149
PubMed
PubMed Central
Google Scholar
Thayer SS, Björkman O (1990) Leaf Xanthophyll content and composition in sun and shade determined by HPLC. Photosynth Res 23:331–343
CAS
PubMed
Google Scholar
Tietz S, Hall CC, Cruz AC et al (2017) NPQ (T): a chlorophyll fluorescence parameter for rapid estimation and imaging of non-photochemical quenching of excitons in photosystem-II-associated antenna complexes. Plant Cell Environ 40:1243–1255
CAS
PubMed
Google Scholar
Tito R, Vasconcelos HL, Feeley KJ (2018) Global climate change increases risk of crop yield losses and food insecurity in the tropical Andes. Global Change Biol 24:e592–e602
Google Scholar
Toda Y, Okura F (2019) How convolutional neural networks diagnose plant disease. Plant Phenomics 2019:9237136
PubMed
PubMed Central
Google Scholar
Wong CYS, Gamon JA (2015) The photochemical reflectance index provides an optical indicator of spring photosynthetic activation in evergreen conifers. New Phytol 206:196–208
CAS
PubMed
Google Scholar
Wong CYS, D’Odorico P, Bhathena Y et al (2019) Carotenoid based vegetation indices for accurate monitoring of the phenology of photosynthesis at the leaf-scale in deciduous and evergreen trees. Remote Sens Environ 233:111407
Google Scholar
Yang W, Guo Z, Huang C et al (2014) Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. Nat Commun 5:5087
CAS
PubMed
Google Scholar
Yang JC, Magney TS, Yan D et al (2020) The photochemical reflectance index (PRI) captures the ecohydrologic sensitivity of a semiarid mixed conifer forest. J Geophys Res Biogeosci 125:e2019JG005624
CAS
Google Scholar
Yudina L, Sukhova E, Ekaterina Gromova E et al (2020) A light-induced decrease in the photochemical reflectance index (PRI) can be used to estimate the energy-dependent component of non-photochemical quenching under heat stress and soil drought in pea, wheat, and pumpkin. Photosynth Res 146:175–187
CAS
PubMed
Google Scholar
Zhang C, Filella I, Garbulsky MF et al (2016) Affecting factors and recent improvements of the photochemical reflectance index (PRI) for remotely sensing foliar, canopy and ecosystemic radiation-use efficiencies. Remote Sens 8:677
Google Scholar
Zhou J, Zeng L, Liu J et al (2015) Manipulation of the xanthophyll cycle increases plant susceptibility to Sclerotinia sclerotiorum. PLoS Pathog 11:e1004878
PubMed
PubMed Central
Google Scholar