Remote sensing of nitrogen and water stress in wheat

Tilling, Adam K.; O’Leary, G.; Ferwerda, J.G.; Jones, Simon; Fitzgerald, Glenn J.; Rodrı́guez, Daniel; Belford, R. K.

doi:10.1016/j.fcr.2007.03.023

Cited by 220 publications

(127 citation statements)

References 23 publications

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“…Além do mais, altas temperaturas foliares estão relacionadas com a redução da fixação de carbono nas diversas etapas da fotossíntese (Medlyn et al, 2002). Essa variação na temperatura foliar e do dossel foliar podem ser utilizados para estimar o estresse hídrico das plantas, como observado na cultura do milho (Tilling et al, 2007;Winterhalter et al, 2011). Em estudos sobre indicadores de déficit hídrico, Kirkham (2005) sugeriu aprofundamento nas avaliações de temperatura foliar, com termômetro infravermelho, para obter índices de estresse hídrico.…”

Section: Resultsunclassified

Caracterização Do Tomateiro Submetido Ao Déficit Hídrico

Morales¹,

Resende

Bordini

et al. 2015

RSA

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RESUMOO experimento foi conduzido com o objetivo avaliar as características morfofisiológicas do tomateiro quando submetido a diferentes níveis de déficit hídrico e, com base nesses resultados, indicar os melhores caracteres para seleção de plantas com maior resistência ao déficit hídrico. O delineamento experimental foi em blocos casualizados, com quatro repetições, no esquema de parcelas subdivididas, em que os tratamentos principais (parcelas) foram constituídos por duas linhagens (TOM-684 e M-82) e as subparcelas por quatro níveis de umidade do solo (100 %, 75 %, 50 % e 25 % da capacidade de campo). Foram avaliados os seguintes caracteres: produção de frutos, massa fresca e seca das folhas, caule e sistema radicular, diâmetro do caule, altura das plantas, número de folhas, fotossíntese, transpiração, temperatura foliar, umidade intercelular, dióxido de carbono intercelular, condutância estomática, condutância de CO 2 intercelular e condutância total. Com a redução da umidade do solo houve redução do número de folhas, altura das plantas, massa fresca e seca das folhas, caule e sistema radicular, transpiração, taxa fotossintética, produção de frutos e aumento da temperatura foliar. A condutância estomática diferiu entre as duas linhagens, com maiores valores para a cultivar TOM-684, que reduziu a condutância estomática de 0,70 para 0,25 mol m -2 s -1 entre os níveis de 100 e 25 % da capacidade de campo. A altura das plantas e o número de folhas podem ser utilizadas em programas de melhoramento como ferramenta para seleção de plantas com maior resistência ao déficit hídrico.Palavras-chave: Solanum lycopersicum; Tolerância a seca; Déficit hídrico; Eficiência do uso da água. ABSTRACTThe experiment was conducted to evaluate the morphological/physiological characteristics of tomato plants when submitted to different levels of water deficit and, based on these results, indicate the best characters for the selection of plants with more tolerance to water deficit. The experimental delineation was in randomized complete block design, with four replications, arranged in splitplot, in which the main treatments (plots) were composed by two strains (TOM-684 and M-82) and the subplots, by four levels of soil moisture (100 %, 75 %, 50 % and 25 % of the field capacity). The following parameters were evaluated: fruit production, leaf, stem and root system fresh and dry mass, , stem diameter, plant height, number of leaves, photosynthesis, transpiration, foliar temperature, intracellular moisture, intracellular carbon dioxide, stomatal conductance, conductance of intracellular CO 2 and total conductance. With the reduction of soil moisture occurred reduction in the number of leaves, plant height and leaf, stem and root system fresh and dry mass, transpiration, photosynthetic rate, fruit production and increase of foliar temperature The stomatal conductance differed between both strains, with higher values for the TOM-684 strain, which reduced stomatal conductance from 0,70 to 0,25 mol m -2 s -1 between levels of 100 and 25 % of...

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Section: Resultsunclassified

Caracterização Do Tomateiro Submetido Ao Déficit Hídrico

Morales¹,

Resende

Bordini

et al. 2015

RSA

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“…Studies revealing pressures from unsustainable agriculture practices have mainly focused on effects from irrigation strategies (Abbas et al 2013;Martínez-López et al 2014;Shahriar Pervez et al 2014), nitrogen treatment (Tilling et al 2007;Chen et al 2010;Perry et al 2012), and crop characterization (Zhong et al 2014;Alcantara et al 2012;Jain et al 2013). Structural properties of the studied areas are less revealing than spectral ones for these tasks, therefore passive multispectral or hyperspectral data have mainly been used.…”

Section: Agriculture Monitoringmentioning

confidence: 99%

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

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Recognizing the imperative need for biodiversity protection, the Convention on Biological Diversity (CBD) has recently established new targets towards 2020, the so-called Aichi targets, and updated proposed sets of indicators to quantitatively monitor the progress towards these targets. Remote sensing has been increasingly contributing to timely, accurate, and cost-effective assessment of biodiversity-related characteristics and functions during the last years. However, most relevant studies constitute individual research efforts, rarely related with the extraction of widely adopted CBD biodiversity indicators. Furthermore, systematic operational use of remote sensing data by managing authorities has still been limited. In this study, the Aichi targets and the related CBD indicators whose monitoring can be facilitated by remote sensing are identified. For each headline indicator a number of recent remote sensing approaches able for the extraction of related properties are reviewed. Methods cover a wide range of fields, including: habitat extent and condition monitoring; species distribution; pressures from unsustainable management, pollution and climate change; ecosystem service monitoring; and conservation status assessment of protected areas. The advantages and limitations of different remote sensing data and algorithms are discussed. Sorting of the methods based on their reported accuracies is attempted, when possible. The extensive literature survey aims at reviewing highly performing methods that can be used for large-area, effective, and timely biodiversity assessment, to encourage the more systematic use of remote sensing solutions in monitoring progress towards the Aichi targets, and to decrease the gaps between the remote sensing and management communities.

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“…Drought stress in crops has been detected by various spectral bands and indices like REIP, NDVI, OSAVI, MCARI, G, ZM, PRI, a simple ratio proposed by Vogelmann et al [16] (VOG1), and Plant Pigment Ratio (PPR) [7,9,[17][18][19][20]. Fluorescence measurements with sensors like the Multiplex R and Dualex R sensor have also been correlated with water stress in wheat [14].…”

Section: Introductionmentioning

confidence: 99%

“…The applicability of spectrometers and fluorometers has been investigated for single stress factors like water shortage, nitrogen deficiency and weed identification in a series of crops especially wheat [5][6][7][8][9][10][11][12][13][14]. Nitrogen deficiency can result in slower growth rate, smaller plants and reduced yield.…”

Section: Introductionmentioning

confidence: 99%

“…Nitrogen deficiency can result in slower growth rate, smaller plants and reduced yield. Normalized Difference Vegetation Index (NDVI), which is one of the most widely used vegetation indices, has been used to determine nitrogen status, vegetation vigor or crop density in cereals [8,9]. Red Edge Inflection Point (REIP), NDVI, Modified Chlorophyll Absorption in Reflectance Index (MCARI), Greenness Index (G), Optimized Soil Adjusted Vegetation Index (OSAVI), an index from Zarco-Tejada and Miller (ZM), Photochemical Reflectance Index (PRI) and Normalized Phaeophytinization Index (NPQI) have been shown to correlate with nitrogen stress, including nitrogen deficiency, in maize and wheat [10,15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using Optical Sensors to Identify Water Deprivation, Nitrogen Shortage, Weed Presence and Fungal Infection in Wheat

et al. 2016

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Abstract:The success of precision agriculture relies largely on our ability to identify how the plants' growth limiting factors vary in time and space. In the field, several stress factors may occur simultaneously, and it is thus crucial to be able to identify the key limitation, in order to decide upon the correct contra-action, e.g., herbicide application. We performed a pot experiment, in which spring wheat was exposed to water shortage, nitrogen deficiency, weed competition (Sinapis alba L.) and fungal infection (Blumeria graminis f. sp. tritici) in a complete, factorial design. A range of sensor measurements were taken every third day from the two-leaf stage until booting of the wheat (BBCH 12 to 40). Already during the first 10 days after stress induction (DAS), both fluorescence measurements and spectral vegetation indices were able to differentiate between non-stressed and stressed wheat plants exposed to water shortage, weed competition or fungal infection. This meant that water shortage and fungal infection could be detected prior to visible symptoms. Nitrogen shortage was detected on the 11-20 DAS. Differentiation of more than one stress factors with the same index was difficult.

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Remote sensing of nitrogen and water stress in wheat

Cited by 220 publications

References 23 publications

Caracterização Do Tomateiro Submetido Ao Déficit Hídrico

Caracterização Do Tomateiro Submetido Ao Déficit Hídrico

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

Using Optical Sensors to Identify Water Deprivation, Nitrogen Shortage, Weed Presence and Fungal Infection in Wheat

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