Assessment of Photosynthetic Pigment and Water Contents in Intact Sunflower Plants from Spectral Indices

被引:5
|
作者
Steidle Neto, Antonio Jose [1 ]
Lopes, Daniela de Carvalho [1 ]
Borges Junior, Joao Carlos Ferreira [1 ]
机构
[1] Univ Fed Sao Joao del Rei, Agrarian Sci Dept, Campus Sete Lagoas,Rodovia MG 424,Km 47, BR-35701970 Sete Lagoas, MG, Brazil
来源
AGRICULTURE-BASEL | 2017年 / 7卷 / 02期
关键词
Helianthus annuus L; reflectance; transmittance; chlorophyll; water stress; HELIANTHUS-ANNUUS L; CHLOROPHYLL CONTENT; LEAF CHLOROPHYLL; REFLECTANCE SPECTROSCOPY; LEAVES; NITROGEN; APPLES; SYSTEM; YIELD; METER;
D O I
10.3390/agriculture7020008
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Under water-limited conditions, monitoring water and chlorophyll status is essential to avoid restrictions in crop growth and yield. This study was carried out to assess water and chlorophyll contents from spectral indices in sunflower plants. The hybrid Sunbright Supreme was cultivated inside a non-acclimatized greenhouse until the start of the flowering stage, and later was maintained in a growth chamber with the purpose of submitting the plants to a slow and progressive dehydration rate for 12 consecutive days. Spectral (reflectance and transmittance), leaf masses (fresh and dry), and total chlorophyll measurements were accomplished in sunflower plants. The water stress caused a reduction in the water and chlorophyll contents, resulting in linear and nonlinear decreases for the spectral indicators Water Index (WI) and Chlorophyll Content Index (CCI), respectively. The low scattering of the average values around the fitted models indicates that WI and CCI were effective in representing changes in water and chlorophyll status for sunflowers (R-2 = 0.912 and R-2 = 0.905). The benefits of using hand-held optical meters for reflectance and transmittance are that they enable rapid, accurate, and nondestructive assessments of water and chlorophyll contents in sunflower plants from radiometric indicators.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Evaluation of wavelengths and spectral reflectance indices for high-throughput assessment of growth, water relations and ion contents of wheat irrigated with saline water (vol 212, pg 358, 2018)
    El-Hendawy, Salah E.
    Al-Suhaibani, Nasser A.
    Hassan, Wael M.
    Dewir, Yaser Hassan
    Elsayed, Salah
    Al-Ashkar, Ibrahim
    Abdella, Kamel A.
    Schmidhalter, Urs
    AGRICULTURAL WATER MANAGEMENT, 2020, 227
  • [32] RHIZOBACTERIA EFFECTS ON PHOTOSYNTHETIC PIGMENTS AND NITROGEN CONTENTS OF SOYBEAN PLANTS CULTIVATED UNDER LOW PHOSPHORUS AND WATER LIMITED CONDITIONS
    Rotaru, Vladimir
    SCIENTIFIC PAPERS-SERIES A-AGRONOMY, 2019, 62 (01): : 416 - 421
  • [33] Cytogenetic and photosynthetic responses of plants after exposure to water from a lake environment
    Ian Drumond Duarte
    Edvar Júnior Roncetti Coelho
    Livia Dorsh Rocha
    Mariana Morozesk
    Marina Marques Bonomo
    Iara da Costa Souza
    Liliane Baldan Zani
    Iasmini Nicoli Galter
    Natalia Nati
    Sara Nascimento dos Santos
    Kristian Rodolfo Santos
    Francielen Barroso Aragão
    Silvia Tamie Matsumoto
    Environmental Science and Pollution Research, 2024, 31 (56) : 64733 - 64743
  • [34] Estimating the Heavy Metal Contents in Entisols from a Mining Area Based on Improved Spectral Indices and Catboost
    Fu, Pingjie
    Zhang, Jiawei
    Yuan, Zhaoxian
    Feng, Jianfei
    Zhang, Yuxuan
    Meng, Fei
    Zhou, Shubin
    SENSORS, 2024, 24 (05)
  • [36] ASSESSING COMMUNITY TYPE, PLANT BIOMASS, PIGMENT COMPOSITION, AND PHOTOSYNTHETIC EFFICIENCY OF AQUATIC VEGETATION FROM SPECTRAL REFLECTANCE
    PENUELAS, J
    GAMON, JA
    GRIFFIN, KL
    FIELD, CB
    REMOTE SENSING OF ENVIRONMENT, 1993, 46 (02) : 110 - 118
  • [37] AMINO-ACID-COMPOSITION OF TRANSPIRED WATER FROM MAIZE, BEAN AND SUNFLOWER PLANTS
    MOLLOV, MZ
    VELICHKOV, DK
    TSONEV, TD
    STOYANOVA, ZP
    DEKOV, IC
    DOKLADI NA BOLGARSKATA AKADEMIYA NA NAUKITE, 1984, 37 (05): : 649 - 651
  • [38] On the Use of Leaf Spectral Indices to Assess Water Status and Photosynthetic Limitations in Olea europaea L. during Water-Stress and Recovery
    Sun, Pengsen
    Wahbi, Said
    Tsonev, Tsonko
    Haworth, Matthew
    Liu, Shirong
    Centritto, Mauro
    PLOS ONE, 2014, 9 (08):
  • [39] Predicting coffee water potential from spectral reflectance indices with neural networks
    Nunes, Pedro Henrique
    Pierangeli, Eduardo Vilela
    Santos, Meline Oliveira
    Silveira, Helbert Rezende Oliveira
    Matos, Christiano Sousa Machado de
    Pereira, Alessandro Botelho
    Alves, Helena Maria Ramos
    Volpato, Margarete Marin Lordelo
    Silva, Vania Aparecida
    Ferreira, Danton Diego
    SMART AGRICULTURAL TECHNOLOGY, 2023, 4
  • [40] The Extraction of Urban Surface Water from Hyperspectral Data Based on Spectral Indices
    Yang, Jiawei
    Liu, Chengyu
    Shu, Rong
    Xie, Feng
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2018, 46 (11) : 1749 - 1759