scholarly journals Changes of relative chlorophyll content at maize smut inoculated hybrids

2017 ◽  
pp. 55-58
Author(s):  
Dóra Frommer ◽  
László Radócz ◽  
Szilvia Veres
Keyword(s):  
Chlorophyll Content ◽  
Photosynthetic Activity ◽  
Plant Diseases ◽  
Physiological Status ◽  
Anthropogenic Stressors ◽  
Leaf Chlorophyll ◽  
Whole Plant ◽  
Maize Plants ◽  
Maize Smut ◽  
Relative Chlorophyll Content

The leaf chlorophyll content analysis is important for several reasons. The natural or anthropogenic stressors directly effect on the chlorophyll content. Through the measurement of the chlorophyll content it is possible to obtain data concerning the physiological status of the plant, moreover the chlorophyll content is closely related to the nitrogen content, so it is linked to photosynthesis and the photosynthetic activity which determine biomass production.One of the most common symptoms of plant diseases is the larger and smaller interveinal chlorotic areas. These might be local, or expand to the whole plant. There are multiply reasons of chlorosis such as reduction of chlorophyll content, unfavorable effects on the chlorophyll content,disorders regarding function of chloroplasts or ultimately destruction of the chloroplasts. Although such a chlorotic deviancy can contribute to significant losses in photosynthesis; however the underperformance photosynthesis of the sick plants is a more complex process.As we unambiguously experienced during our investigations on common smut that the infected maize plants most common accompanying symptom was chlorosis on the leaves, so it is especially important to examine how the infection influenced on the chlorophyll content of different hybrids.

scholarly journals Estimating Leaf Chlorophyll Content of Buffaloberry Using Normalized Difference Vegetation Index Sensors

2021 ◽  
pp. 1-7
Author(s):  
Ji-Jhong Chen ◽  
Shuyang Zhen ◽  
Youping Sun
Keyword(s):  
Chlorophyll Content ◽  
Vegetation Index ◽  
Near Infrared ◽  
Normalized Difference Vegetation Index ◽  
Red Light ◽  
Leaf Chlorophyll Content ◽  
Nir Light ◽  
Leaf Chlorophyll ◽  
Chlorophyll Extraction ◽  
Relative Chlorophyll Content

Commercial optical chlorophyll meters estimate relative chlorophyll content using the ratio of transmitted red light and near-infrared (NIR) light emitted from a red light-emitting diode (LED) and an NIR LED. Normalized difference vegetation index (NDVI) sensors have red and NIR light detectors and may be used to estimate chlorophyll content by detecting the transmitted red and NIR light through leaves. In this study, leaf chlorophyll content of ‘Torrey’ buffaloberry (Shepherdia ×utahensis) plants treated with 0 mm [zero nitrogen (N)], 2 mm (medium N), or 4 mm (ample N) ammonium nitrate for 3 weeks were evaluated using two commercial chlorophyll meters and NDVI sensors. The absolute chlorophyll content was determined using chlorophyll extraction. Our results showed that plants receiving ample N and medium N had decreased transmitted red light (i.e., greater absorption in red light). Measurements of optical chlorophyll meters, NDVI sensors, and chlorophyll extraction similarly showed that plants receiving medium N and ample N had greater leaf chlorophyll content than those receiving zero N. Relative leaf chlorophyll content estimated using NDVI sensors correlated positively with those from the chlorophyll meters (P < 0.0001; r2 range, 0.56–0.82). Therefore, our results indicate that NDVI measurements are sensitive to leaf chlorophyll content. These NDVI sensors, or specialized sensors developed using similar principles, can be used to estimate the relative chlorophyll content of nursery crops and help growers adjust fertilization to improve plant growth and nutrient status.

scholarly journals Effect of net shading technology on the yield quality and quantity of chilli pepper under greenhouse cultivation

2021 ◽  
pp. 5-9
Author(s):  
Stella Agyemang Duah ◽  
Zsuzsa Nagy ◽  
Clarice Silva E Souza ◽  
Zoltán Pék ◽  
András Neményi ◽  
...  
Keyword(s):  
Vitamin C ◽  
Chlorophyll Content ◽  
Modified Atmosphere ◽  
Chilli Pepper ◽  
Leaf Chlorophyll ◽  
Yield Quality ◽  
Marketable Fruit ◽  
Control Samples ◽  
Relative Chlorophyll Content

This study was undertaken to identify the effect of net shading technology on the total capsaicinoids, vitamin C and relative chlorophyll content expressed as SPAD (Soil Plant Analysis Development) values and total marketable fruit yield of ‘Star Flame’ chilli pepper (Capsicum annuum) for two harvesting times cultivated under modified atmosphere. ‘Star Flame’ pepper was grown under three (3) different net shading colours (white, red and green). Samples without net shading were used as control. Samples were subjected to chromatographic analyses using HPLC for the determination of total capsaicinoids and vitamin C. Interaction in shading technology and harvest times (p=0.010) had significant effect on total capsaicinoids as a result of green and white shading technologies showing higher differences when compared to control samples. Vitamin C content was observed to have increased in white and red shadings (p=0.001) after the first harvest and gradually decreased after the second harvesting time (p=0.002). Relative leaf chlorophyll content was significantly higher in white shading in the first and second harvest. Samples used as control had significantly higher marketable values when compared to white and green shadings with red recording low marketability of ‘Star Flame’ chilli peppers.

scholarly journals Assessment of Leaf Chlorophyll Content Models for Winter Wheat Using Landsat-8 Multispectral Remote Sensing Data

2020 ◽  
Vol 12 (16) ◽  
pp. 2574
Author(s):  
Xianfeng Zhou ◽  
Jingcheng Zhang ◽  
Dongmei Chen ◽  
Yanbo Huang ◽  
Weiping Kong ◽  
...  
Keyword(s):  
Chlorophyll Content ◽  
Dynamic Change ◽  
Vegetation Indices ◽  
Growth Conditions ◽  
Crop Growth ◽  
Lookup Table ◽  
Physiological Status ◽  
Landsat 8 ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll

The leaf chlorophyll content (LCC) is a critical index to characterize crop growth conditions, photosynthetic capacity, and physiological status. Its dynamic change characteristics are of great significance for monitoring crop growth conditions and understanding the process of material and energy exchange between crops and the environment. Extensive research has focused on LCC retrieval with hyperspectral data onboard various sensor platforms. Nevertheless, limited attention has been paid to LCC inversion from multispectral data, such as the data from Landsat-8, and the potentials and capabilities of the data for crop LCC estimation have not been fully explored. The present study made use of Landsat-8 Operational Land Imager (OLI) imagery and the corresponding field experimental data to evaluate their capabilities and potentials for LCC modeling using four different retrieval methods: vegetation indices (VIs), machine learning regression algorithms (MLRAs), lookup-table (LUT)-based inversion, and hybrid regression approaches. The results showed that the modified triangular vegetation index (MTVI2) exhibited the best estimate accuracy for LCC retrieval with a root mean square error (RMSE) of 5.99 μg/cm2 and a relative RMSE (RRMSE) of 10.49%. Several other vegetation indices that were established from red and near-infrared (NIR) bands also exhibited good accuracy. Models established from Gaussian process regression (GPR) achieved the highest accuracy for LCC retrieval (RMSE = 5.50 μg/cm2, RRMSE = 9.62%) compared with other MLRAs. Moreover, red and NIR bands outweighed other bands in terms of GPR modelling. LUT-based inversion methods with the “K(x) = −log (x) + x” cost function that belongs to the “minimum contrast estimates” family showed the best estimation results (RMSE = 8.08 μg/cm2, RRMSE = 14.14%), and the addition of multiple solution regularization strategies effectively improved the inversion accuracy. For hybrid regression methods, the use of active learning (AL) techniques together with GPR for LCC modelling significantly increased the estimation accuracy, and the combination of entropy query by bagging (EQB) AL and GPR had the best accuracy for LCC estimation (RMSE = 12.43 μg/cm2, RRMSE = 21.77%). Overall, our study suggest that Landsat-8 OLI data are suitable for crop LCC retrieval and could provide a basis for LCC estimation with similar multispectral datasets.

scholarly journals RELATIONSHIP BETWEEN CHLOROPHYLL CONTENT AND NEEDLE COLOR OF Abies religiosa KUNTH, SCHLTDL. et CHAM

2020 ◽  
Vol 43 (2) ◽  
pp. 233
Author(s):  
Aglaen L. Carbajal-Navarro ◽  
Fernando Pineda-García ◽  
Cuauhtémoc Sáenz-Romero ◽  
Arnulfo Blanco-García ◽  
Mariela Gómez-Romero ◽  
...  
Keyword(s):  
Chlorophyll Content ◽  
Chlorophyll Concentration ◽  
Stress Index ◽  
Physiological Status ◽  
Technical Equipment ◽  
Environmental Response ◽  
Leaf Chlorophyll ◽  
Visual Stress ◽  
Abies Religiosa ◽  
Relationship Of

Evaluation of the physiological performance of plants as an environmental response is crucial to understand the ecological succession in plant communities and to implement strategies that increase plant survival and growth for restoration efforts and commercial plantations; however, evaluating plant physiology often requires complex and expensive technical equipment not normally accessible to all researchers and non-specialized people. In the present study, we explored the relationship of the visual condition of the needles with an indicator of their photosynthetic capacity related to chlorophyll content in Abies religiosa. A visual stress index was developed to evaluatethe response to environmental stress in seedlings of A. religiosa during a reforestation effort, and the correlation between leaf chlorophyll content and different categories of the stress index. The replicability of the index was also tested to determine its applicability by non-specialized people. A high correlation was detected between the index and chlorophyll concentration (r2 = 0.76; P < 0.0001). Additionally, there was a significant agreement on the index among several observers (W = 0.95; P < 0.0001). Overall, the stress index is related the physiological condition of the plants and can be adopted by people, after training, to make evaluations of the physiological status of A. religiosa seedlings.

scholarly journals Whole-plant Response of Six Poinsettia Cultivars to Three Fertilizer and Two Irrigation Regimes

HortScience ◽  
1995 ◽  
Vol 30 (4) ◽  
pp. 857C-857
Author(s):  
U.K. Schuch ◽  
R.A. Redak
Keyword(s):  
Chlorophyll Content ◽  
Deficit Irrigation ◽  
Dry Weight ◽  
Fertilizer Treatment ◽  
Euphorbia Pulcherrima ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll ◽  
Whole Plant ◽  
Fertilization Level ◽  
Leaf Dry Weight

Six cultivars of poinsettia (Euphorbia pulcherrima Willd. `Angelika White', `Celebrate 2', `Freedom Red', `Lilo Red', `Red Sails', and `Subjibi Red') were grown for 9 weeks under three fertilizer treatments (80, 160, or 240 mg N/liter constant feed) and were either well-watered or water deficient between irrigations. Plant height decreased with decreasing fertilizer and with low vs. high irrigation treatments. Dry weight of all shoot components were reduced by deficit irrigation. For well-watered plants, leaf area and leaf dry weight increased from low to medium and decreased from medium to high fertilizer treatment. For plants under deficit irrigation, these variables were similar for low and medium fertilizer and increased at the 240 mg N/liter. Stomatal conductance and transpiration decreased with increasing fertilization level and deficit irrigation. Leaf chlorophyll content at week 5 was 40% and 49% higher for plants fertigated with 160 or 240 mg N/liter compared to 80 mg N/liter, while 2 weeks later these differences decreased to 20% and 26%. Irrigation had little influence on leaf chlorophyll content.

scholarly journals Relative chlorophyll content changes during uptaking of selenite and selenate by maize plants grown in nutrient solution

2015 ◽  
Vol 4 (Special issue 3) ◽  
pp. 44-47 ◽  
Author(s):  
Farzaneh Garousi ◽  
Béla Kovács ◽  
Szilvia Várallyay ◽  
Éva Bódi ◽  
Szilvia Veres
Keyword(s):  
Chlorophyll Content ◽  
Nutrient Solution ◽  
Maize Plants ◽  
Relative Chlorophyll Content

A novel spectral index for estimation of relative chlorophyll content of sugar beet

2021 ◽  
Vol 184 ◽  
pp. 106088
Author(s):  
Jing Zhang ◽  
Haiqing Tian ◽  
Di Wang ◽  
Haijun Li ◽  
Abdul Mounem Mouazen
Keyword(s):  
Sugar Beet ◽  
Chlorophyll Content ◽  
Spectral Index ◽  
Relative Chlorophyll Content

scholarly journals The Preferences of Different Cultivars of Lettuce Seedlings (Lactuca sativa L.) for the Spectral Composition of Light

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1211
Author(s):  
Barbara Frąszczak ◽  
Monika Kula-Maximenko
Keyword(s):  
Chlorophyll Content ◽  
Blue Light ◽  
White Light ◽  
Leaf Shape ◽  
Red Light ◽  
Spectral Composition ◽  
Fresh Weight ◽  
Light Spectrum ◽  
Dark Green ◽  
Relative Chlorophyll Content

The spectrum of light significantly influences the growth of plants cultivated in closed systems. Five lettuce cultivars with different leaf colours were grown under white light (W, 170 μmol m−2 s−1) and under white light with the addition of red (W + R) or blue light (W + B) (230 μmol m−2 s−1). The plants were grown until they reached the seedling phase (30 days). Each cultivar reacted differently to the light spectrum applied. The red-leaved cultivar exhibited the strongest plasticity in response to the spectrum. The blue light stimulated the growth of the leaf surface in all the plants. The red light negatively influenced the length of leaves in the cultivars, but it positively affected their number in red and dark-green lettuce. It also increased the relative chlorophyll content and fresh weight gain in the cultivars containing anthocyanins. When the cultivars were grown under white light, they had longer leaves and higher value of the leaf shape index. The light-green cultivars had a greater fresh weight. Both the addition of blue and red light significantly increased the relative chlorophyll content in the dark-green cultivar. The spectrum enhanced with blue light had positive influence on most of the parameters under analysis in butter lettuce cultivars. These cultivars were also characterised by the highest absorbance of blue light.

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