Fluorescence-based sensing of drought-induced stress in the vegetative phase of four contrasting wheat genotypes

Bürling, Kathrin; Cerović, Zoran G.; Cornic, Gabriel; Ducruet, Jean‐Marc; Noga, Georg; Hunsche, Maurício

doi:10.1016/j.envexpbot.2013.01.003

Cited by 65 publications

(47 citation statements)

References 47 publications

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“…In order to improve the germplasms for these conditions in breeding programs, it is essential to evaluate a large number of germplasms using multiple selection criteria. Several morphophysiological traits, particularly those related to crop processes, yield characteristics, and drought-tolerance mechanisms such as the water status of plants, photosynthetic efficiency, stomatal conductance, canopy temperature, accumulation of dry matter, staygreen character of leaves, harvest index, moisture stress index, and water use efficiency, are usually effective as useful complementary selection criteria for screening germplasms under different environmental conditions (Blum, 2005;Royo et al, 2005;Hura et al, 2007;Elsayed et al, 2011;Chen et al, 2012;Bürling et al, 2013). However, direct measurements of those traits by traditional methods are destructive and time-consuming and some of them are difficult to do when a large number of genotypes need to be evaluated across different environments.…”

Section: Introductionmentioning

confidence: 99%

Spectral reflectance indices as a rapid and nondestructive phenotyping tool for estimating different morphophysiological traits of contrasting spring wheat germplasms under arid conditions

El-Hendawy¹,

Al-Suhaibani²,

Salem³

et al. 2015

Turk J Agric For

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IntroductionArid and semiarid regions are seriously lacking in fresh water. Water shortages in these regions have become the basic norm rather than the exception. Most importantly, the situation of water shortage is growing worse due to abrupt climatic changes and continuous population growth. All of these factors will decrease the amount of water allocated to the agricultural sector, which consumes about 75% of the available water supply. Therefore, as the water supply for agronomic purposes becomes insufficient, development of new germplasms with higher yield potential becomes more imperative and it will be one of the major adaptation strategies to sustain crop productions under arid and semiarid conditions. In order to improve the germplasms for these conditions in breeding programs, it is essential to evaluate a large number of germplasms using multiple selection criteria. Several morphophysiological traits, particularly those related to crop processes, yield characteristics, and drought-tolerance mechanisms such as the water status of plants, photosynthetic efficiency, stomatal conductance, canopy temperature, accumulation of dry matter, staygreen character of leaves, harvest index, moisture stress index, and water use efficiency, are usually effective as useful complementary selection criteria for screening germplasms under different environmental conditions (

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Section: Introductionmentioning

confidence: 99%

Spectral reflectance indices as a rapid and nondestructive phenotyping tool for estimating different morphophysiological traits of contrasting spring wheat germplasms under arid conditions

El-Hendawy¹,

Al-Suhaibani²,

Salem³

et al. 2015

Turk J Agric For

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“…Two of the indices, FLAV and NBI, have previously been associated with water tolerance in wheat [14]. Concerning water stress for both the spectrometer and the fluorometer, the presented approach appears promising.…”

Section: Could Water Stress Be Detected By the Sensors?mentioning

confidence: 92%

“…Fluorescence measurements with sensors like the Multiplex R and Dualex R sensor have also been correlated with water stress in wheat [14]. Weed density is correlated with Leaf Area Index (LAI) and biomass.…”

Section: Introductionmentioning

confidence: 99%

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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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“…Changes in fluorescence at different wavelengths can be robust indicators of plant responses to specific abiotic stresses (Jones 2014). Fluorescence measurements have been used for wheat to characterise leaf nitrogen (Bürling et al 2011;FernandezJaramillo et al 2012), and water stress (Bürling et al 2013). Chlorophyll fluorescence has been shown to relate to freezing tolerance assessments in leaves from wheat (leaves frozen at À158C) in Rapacz and Wozniczka (2009), and triticale (leaves frozen at air temperatures from À58C to À208C) in Rapacz et al (2011).…”

Section: Previous Researchmentioning

confidence: 99%

In-field methods for rapid detection of frost damage in Australian dryland wheat during the reproductive and grain-filling phase

Perry¹,

Nuttall²,

Wallace³

et al. 2017

Crop Pasture Sci.

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Abstract. Frost damage causes significant production losses and costs to Australian dryland wheat, and frost impacts are not expected to decline in the near future, despite global warming. Rapid estimation of frost damage to crops on a spatial basis would allow for timely management decisions to reduce the economic impact of frost events. In this paper, we take a first step in evaluating the utility of hyperspectral reflectance and active light fluorescence for detecting frost damage to wheat during its reproductive phase. Two experiments were conducted immediately after the first observation of frost damage, (i) in 2006, five plots in an existing trial were opportunistically subdivided to take spectral reflectance measurements on frost damaged plants along with yield measurements, and (ii) in 2015, a transect across 31 rows within a commercial paddock was established to evaluate spectral reflectance, fluorometer measurements, and yield along a gradient from non-frosted to frost damaged plants. The results of the hyperspectral reflectance data appeared variable in response across the two experimental sites where frost was observed in-crop. In 2006, hyperspectral-derived indices showed significant differences (P < 0.05) between measurements of frosted and non-frosted canopies, but this was not the case for observations taken in 2015, where the mean response was reversed between experimental sites for several of the indices. In contrast, fluorometer measurements in the 2015 trial resulted in higher correlations with yield and observed frost damage compared with the reflectance measurements. Seven of the nine fluorometer indices evaluated were correlated with yield (used as an indicator of frost damage) at P < 0.01. An index of compounds which absorbs at 375 nm, FLAV, had the best correlation coefficients of 0.91 and 0.90 for the two dates in 2015. The fluorescence index FLAV was selected to evaluate whether it could be used to classify the canopy as frost affected or not, using discriminant analysis for the 2015 transect data. The overall classification accuracy, defined as the number of correctly classified measurements (57) divided by the total number (62) was 92%. The present study was not able to provide insight into how rapidly the sensors could detect frost damage before detection with the naked eye, as the survey data constituted a transect based on early visual symptoms, however this study does provide important insight into what sensors and/or indices may be sensitive to 'seeing' early frost damage in-crop. The next steps, which build on this work and need to be resolved are (i) what is the nominal scale of measurements required, and for which portions of the plant canopy? (ii) How robust (over space and time) are any relationships between frost damage and index response? (iii) Can frost damage be detected before the onset of visual damage?

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Fluorescence-based sensing of drought-induced stress in the vegetative phase of four contrasting wheat genotypes

Cited by 65 publications

References 47 publications

Spectral reflectance indices as a rapid and nondestructive phenotyping tool for estimating different morphophysiological traits of contrasting spring wheat germplasms under arid conditions

Spectral reflectance indices as a rapid and nondestructive phenotyping tool for estimating different morphophysiological traits of contrasting spring wheat germplasms under arid conditions

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

In-field methods for rapid detection of frost damage in Australian dryland wheat during the reproductive and grain-filling phase

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