Application of leaf multispectral analyzer in comparison to hyperspectral device to assess the diversity of spectral reflectance indices in wheat genotypes

被引:0
作者
Filacek, Andrej [1 ]
Zivcak, Marek [1 ]
Barboricova, Maria [1 ]
Kovar, Marek [1 ]
Halabuk, Andrej [2 ]
Gerhatova, Katarina [2 ]
Yang, Xinghong [3 ]
Hauptvogel, Pavol [4 ]
Brestic, Marian [1 ,3 ]
机构
[1] Slovak Univ Agr, Inst Plant & Environm Sci, Nitra, Slovakia
[2] Slovak Acad Sci, Inst Landscape Ecol, Bratislava 81499, Slovakia
[3] Shandong Agr Univ, Coll Life Sci, Natl Key Lab Wheat Improvement, Shandong Key Lab Crop Biol, Tai An 271018, Peoples R China
[4] Natl Agr & Food Ctr, Res Inst Plant Prod, Piestany 92168, Slovakia
来源
OPEN LIFE SCIENCES | 2024年 / 19卷 / 01期
关键词
non-invasive methods; leaf spectrometer; Triticum; genetic resources; vegetation indices; crop phenotyping; CHLOROPHYLL CONTENT; VEGETATION INDEXES; OPTICAL-PROPERTIES; HIGHER-PLANTS; WINTER-WHEAT; STRIPE RUST; LEAVES; CANOPY; PERFORMANCE; STRESS;
D O I
10.1515/biol-2022-0989
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Multispectral devices have a huge potential to be utilized in biological, ecological, and agricultural studies, providing valuable information on plant structure and chemical composition. The aim of the study was to assess the reliability and sensitivity of the affordable leaf spectrometer PolyPen (PP) in comparison with the highly sensitive analytical device FieldSpec-4. Measurements at the leaf level were realized on a collection of 24 diverse field-grown wheat (Triticum sp. L.) genotypes in several growth phases during the regular growing season, focusing on whole spectral curves and a set of 41 spectral reflectance indices. As expected, the sensitive analytical device showed a higher capacity to capture genotypic variability and the ability to distinguish seasonal changes compared to a low-cost multispectral device. Nevertheless, the analysis of the data provided by low-cost sensors provided a group of parameters with good sensitivity, including reasonable correlations between the records of the two devices (r > 0.80). Based on the large obtained datasets, we can conclude that the application of a low-cost PP leaf spectrometer in plant and crop studies can be efficient, but the selection of parameters is crucial. Thus, the present study provides valuable information for users of affordable leaf spectrometers in fundamental and applied plant science.
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页数:17
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共 114 条
  • [1] Calcium and Potassium Supplementation Enhanced Growth, Osmolyte Secondary Metabolite Production, and Enzymatic Antioxidant Machinery in Cadmium-Exposed Chickpea (Cicer arietinum L.)
    Ahmad, Parvaiz
    Latef, Arafat A. Abdel
    Abd Allah, Elsayed F.
    Hashem, Abeer
    Sarwat, Maryam
    Anjum, Naser A.
    Gucel, Salih
    [J]. FRONTIERS IN PLANT SCIENCE, 2016, 7
  • [2] Barnes EM., 2000, Proceedings of the Fifth International Conference on Precision Agriculture, VVol. 6, pp. 1619
  • [3] In-field proximal sensing of septoria tritici blotch, stripe rust and brown rust in winter wheat by means of reflectance and textural features from multispectral imagery
    Bebronne, Romain
    Carlier, Alexis
    Meurs, Remi
    Leemans, Vincent
    Vermeulen, Philippe
    Dumont, Benjamin
    Mercatoris, Benoit
    [J]. BIOSYSTEMS ENGINEERING, 2020, 197 : 257 - 269
  • [4] Photosynthetic performance of Antarctic lichenDermatocarpon polyphyllizumwhen affected by desiccation and low temperatures
    Bednarikova, Michaela
    Vaczi, Peter
    Lazar, Dusan
    Bartak, Milos
    [J]. PHOTOSYNTHESIS RESEARCH, 2020, 145 (02) : 159 - 177
  • [5] Reflectance measurements of soils in the laboratory: Standards and protocols
    Ben Dor, Eyal
    Ong, Cindy
    Lau, Ian C.
    [J]. GEODERMA, 2015, 245 : 112 - 124
  • [6] Quantifying chlorophylls and caroteniods at leaf and canopy scales: An evaluation of some hyperspectral approaches
    Blackburn, GA
    [J]. REMOTE SENSING OF ENVIRONMENT, 1998, 66 (03) : 273 - 285
  • [7] Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
    Broge, NH
    Leblanc, E
    [J]. REMOTE SENSING OF ENVIRONMENT, 2001, 76 (02) : 156 - 172
  • [8] INVIVO SPECTROSCOPY AND INTERNAL OPTICS OF LEAVES AS BASIS FOR REMOTE-SENSING OF VEGETATION
    BUSCHMANN, C
    NAGEL, E
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (04) : 711 - 722
  • [9] Reflectance spectra and images of green leaves with different tissue structure and chlorophyll content
    Buschmann, Claus
    Lenk, Sandor
    Lichtenthaler, Hartmut K.
    [J]. ISRAEL JOURNAL OF PLANT SCIENCES, 2012, 60 (1-2) : 49 - 64
  • [10] CARTER GA, 1994, INT J REMOTE SENS, V15, P697, DOI 10.1080/01431169408954109