Paprastojo kukurūzo (Zea mays L.) drėgmės streso nustatymas, taikant spektrinį atspindį ir klasifikavimo medžio metodą

Genç, Levent; Inalpulat, Melis; Kızıl, Ünal; Mırık, Mustafa; Smith, Scot E.; Mendeş, Mehmet

doi:10.13080/z-a.2013.100.011

Cited by 56 publications

(57 citation statements)

References 27 publications

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“…Several previous researches indicated that reduced canopy senescence and higher leaf chlorophyll are correlated with the increasing grain yield in well-watered temperate of hybrids (Lee & Tollenaar, 2007;Barutçular et al, 2016b). The change in leaf morphology induced by deficit water caused higher reflectance in the visible spectra between stressed and unstressed corn leaves (Genc et al, 2013). A significant relationship was observed between SPAD and grain yield in 14 days after anthesis, while no significant association was found during middle and late grain-filling stages (Monneveux et al, 2008).…”

Section: Resultsmentioning

confidence: 91%

Relatıonshıps between stomatal conductance and yıeld under defıcıt ırrıgatıon ın maıze (Zea mays L.)

Sabagh¹,

Barutçular²,

Islam³

2017

JEBAS

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This study was conducted to evaluate the adaptability of maize hybrids under water deficit condition by measuring of stomatal conductance with the corresponding yield of maize hybrids. Seven maize hybrids were grown at two different irrigation regimes (well water and deficit water conditions) at the agricultural research area of Cukurova University, Adana, Turkey. The results of study indicated that at drought stress (deficit water) remarkably influenced maize yield. The hybrid Sancia produced maximum grain yield under water deficient condition while 71May69 hybrid achieved the higher yield under wellwatered condition. Stomatal conductance was strongly correlated with grain yield in this study and higher stomatal conductance indicates higher grain yield, higher stomatal conductance at 7 days after pollination helps to increase grain yield. A positive and significant correlation between grain yield and stomatal conductance was observed at 7th and 21st days after anthesis (DAA). Moderately high stomatal conductance under stress condition helps to produce the highest grain yield. Based on the results, stomatal conductance can be used as selection criterion to identify the drought stress genotypes in maize under Mediterranean condition.

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Section: Resultsmentioning

confidence: 91%

Relatıonshıps between stomatal conductance and yıeld under defıcıt ırrıgatıon ın maıze (Zea mays L.)

Sabagh¹,

Barutçular²,

Islam³

2017

JEBAS

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“…However, the decrease in chlorophyll quantification in stressed plants may be a response caused by water deficiency, which degrades the photosynthetic pigments (Genc et al, 2013).…”

Section: Resultsmentioning

confidence: 99%

“…In this sense, Genc et al (2013) define that changes in foliar morphology, being these in the concentrations and amount of foliar pigments have a strong influence on the foliar spectral properties. According to Ponzoni et al (2012) chemically it is expected that the decrease of the amount of water causes the degradation of proteins and photosynthetic pigments, which makes the leaf less able to absorb electromagnetic radiation in the visible region and, consequently, reduction of photosynthesis.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Time After Leaf Collection As An Influential Factor In Spectroradiometric Measurements

2017

Aust. J. Basic & Appl. Sci.

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Background: Spectroradiometric studies involving the collection of vegetative material in the field and subsequent radiometric measurements in the laboratory are susceptible to limitations due to the loss of information related to the temporal lapse between collection and analysis. Objective: Thus, the objective of this study is to identify which spectral intervals and which vegetation indices present higher sensitivity to the postharvest time of leaves extracted from an individual of the species Eucalyptus saligna Smith.Material and Methods: The material was collected in the field, and the radiometric measurements were performed in laboratory using a FieldSpec®3 spectroradiometer, with an interval of 15 minutes, during 10 hours of observation. Epectral bands and indexes with frequent use in vegetation studies that evolve both in situ spectroradiometry techniques and orbital sensor surveys were selected. For each of the variables, were computed the averages of the 40 observations over the time and Tukey's test of means comparison was applied pair by pair. Results:In general, bands and indices that respond directly by vegetative vigor and photosynthetic activity showed higher latency on significance in relation to the beginning of the observations, as showed by SR, NDVI and REP, with 5, 5, 25, 9.75 hours respectively. However, the variables related to the internal scattering due to the tissue rupture and water loss were more sensitive to the experiment, especially the TVI index and the NIR band, which demonstrated significant results after 1.25 and 1.5 hours of the beginning of the measurements. Conclusion:The listed variables allowed the detection of foliar degradation over time after collection at different levels of sensitivity. For the latter it is recommended that in similar experiments it is timely to observe the waiting time between the extraction of leaves and the performance of the radiometric measurements in order to avoid possible loss of information.

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“…The basis of detecting water stress with remote sensing relates to the difference in reflectance properties of plants under different water stress levels at certain wavelengths in the NIR portion of the electromagnetic spectrum (Genc et al, 2013). The interpretation of these hyperspectral data is complicated by the interrelationships between wavelength variables which require extensive statistical techniques to analyse the data for meaningful information to be derived.…”

Section: A Background On Plant Water Availabilitymentioning

confidence: 99%

“…These indices were developed from the combinations of bands or wavelengths from the NIR (WBI and NDWI) and the SWIR (SIWSI). However, more recently there have been attempts on using the blue, green, red wavelengths or bands (VIS region) and the NIR wavelengths in developing indices to estimate vegetation water content (Genc et al, 2013).…”

Section: B Leaf Water Content and Water Indicesmentioning

confidence: 99%

Assessing maize foliar water stress levels under field conditions using in-situ spectroscopy

Ngie¹,

Ahmed²,

Abutaleb³

2017

RWJour

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Plant physiological processes required for crop productivity are dependent on the availability of water to crops. Water availability to crops therefore requires real time monitoring for timeous rescue or intervention measures. Such monitoring over vast areas is only possible through remotely sensed techniques such as spectroscopy with its numerous fine wavelengths and is non-destructive to the crops as opposed to other traditional ground-based methods. The management of spectral reflectance data to extract information of importance for plant water status has been motivated by knowledge of the availability of specific bands in the electromagnetic spectrum responsible for water absorption. The purpose of this study was to investigate the potential of using selected spectral bands to develop water indices that could monitor the water status at leaf level on maize (Zea mays) plants grown under field conditions. Leaf spectral reflectance of maize plants was collected under three different water conditions being healthy (H), intermediary water stressed (IWS) and water stressed (WS) using a leaf-clip of a handheld spectroradiometer. The spectral reflectance indicated an increased reflectance in portions of the visible, near-infrared and short infrared regions of the electromagnetic spectrum for the water stressed maize plants. The random forest (RF) algorithm was utilised to extract wavelengths of importance from which water indices were developed among which were the normalised difference water index (NDWI860-1240) and the water band index (WBI950-970). The indices were used in a combined algorithm of RF and partial least square (PLS) for its predictive ability to classify the maize leaf water status into the three categories (H, IWS and WS). The results showed an overall accuracy of 70±1.2 %. Therefore, confirming the potential of assessing leaf water content using in-situ spectroscopy. The three most important indices were NDWI860-1240, NDWI1700-1530 and NDWI1530-1360. An in-depth study would be required to quantify and measure actual water content in maize leaves and possibly upscale to canopy level which would directly support irrigation management plans.

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Paprastojo kukurūzo (Zea mays L.) drėgmės streso nustatymas, taikant spektrinį atspindį ir klasifikavimo medžio metodą

Cited by 56 publications

References 27 publications

Relatıonshıps between stomatal conductance and yıeld under defıcıt ırrıgatıon ın maıze (Zea mays L.)

Relatıonshıps between stomatal conductance and yıeld under defıcıt ırrıgatıon ın maıze (Zea mays L.)

Evaluation of Time After Leaf Collection As An Influential Factor In Spectroradiometric Measurements

Assessing maize foliar water stress levels under field conditions using in-situ spectroscopy

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