Wheat leaf photosynthesis loss due to leaf rust, with respect to lesion development and leaf nitrogen status

Robert, Corinne; Bancal, Marie-Odile; Ney, Bertrand; Lannou, Christian

doi:10.1111/j.1469-8137.2004.01237.x

Cited by 102 publications

(99 citation statements)

References 36 publications

(84 reference statements)

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“…This result of increased grain weight from foliar fungicide application was in agreement with previous findings [8,14,17,18]. Also, this increase in mean kernel weight can be attributed to leaf area protection as foliar fungicide application leads to higher leaf area index [11,12], which enhances the efficiency of photosynthesis and therefore the grain filling [12]. Grain yield per spike is another important component of yield.…”

Section: Effect Of Genetic Resistance and Fungicide Application On Yisupporting

confidence: 80%

Yellow Rust Effects on Grain Yield, and Yield Components of Some Spring Bread Wheat Cultivars under Rainfed Conditions

Sebei¹,

Ferjaoui²,

Bchini³

2018

WJAR

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Stripe rust caused by Puccinia striiformis, is currently the major foliar disease of spring bread wheat (Triticum aestivum L.) in Tunisia, causing serious yield losses and affecting grain quality. Farmers often use foliar fungicide application or resistant cultivars to counter yield loss, however, this is hampered by a lack of resistant varieties. To investigate the effects of genetic resistance and foliar fungicide application on disease level and yield components, six improved varieties were evaluated at the regional experimental station in Beja during three consecutive growing seasons. Under natural stripe rust infection, three varieties were detected as completely resistant and the others are susceptible. The pathogen affected the leaf area in the susceptible varieties and reduces the above ground biomass at harvest, seed weight and grain yield. Fungicide application reduces the disease severity on the sensitive genotypes and improves biomass, seed weight, grain yield, and harvest index. Yield benefits were much greater in the use of resistant genotypes than fungicide application on the susceptible varieties; consequently the resistance to stripe rust can have more significant benefits to farmer and to the wheat industry.

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Section: Effect Of Genetic Resistance and Fungicide Application On Yisupporting

confidence: 80%

Yellow Rust Effects on Grain Yield, and Yield Components of Some Spring Bread Wheat Cultivars under Rainfed Conditions

Sebei¹,

Ferjaoui²,

Bchini³

2018

WJAR

View full text Add to dashboard Cite

show abstract

“…For all samples, the imaging height was 30 cm. Various symptoms of the leaf rust disease including yellow, orange, dark brown and the dry were extracted from the digital photos [14]. Different symptoms of the wheat rust have been illustrated in Figure 1A,B.…”

Section: Extracting Disease Affected Fractionmentioning

confidence: 99%

“…Finally, the disease symptoms end in a dry leaf. Furthermore, different symptoms of the leaf rust are simultaneously observed in various areas of the leaf [14].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements

2014

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Spectral Vegetation Indices (SVIs) have been widely used to indirectly detect plant diseases. The aim of this research is to evaluate the effect of different disease symptoms on SVIs and introduce suitable SVIs to detect rust disease. Wheat leaf rust is one of the prevalent diseases and has different symptoms including yellow, orange, dark brown, and dry areas. The reflectance spectrum data for healthy and infected leaves were collected using a spectroradiometer in the 450 to 1000 nm range. The ratio of the disease-affected area to the total leaf area and the proportion of each disease symptoms were obtained using RGB digital images. As the disease severity increases, so does the scattering of all SVI values. The indices were categorized into three groups based on their accuracies in disease detection. A few SVIs showed an accuracy of more than 60% in classification. In the first group, NBNDVI, NDVI, PRI, GI, and RVSI showed the highest amount of classification accuracy. The second and third groups showed classification accuracies of about 20% and 40% respectively. Results show that few indices have the ability to indirectly detect plant disease.

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“…Various symptoms of the leaf rust disease, including yellow, orange, dark brown and dry leaf, were extracted from the digital photos [21]. Different symptoms of wheat rust have been illustrated in Figure 2A,B.…”

Section: Data Collectionmentioning

confidence: 99%

“…The final symptom is dry leaf. It is worth noting that the different symptoms of leaf rust can be simultaneously observed in various parts of a leaf [21].A few investigations have shown the potential of SVIs for disease detection. Mahlein et al and Rump et al demonstrated the effect of disease symptoms on recorded reflectance spectra [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Developing Two Spectral Disease Indices for Detection of Wheat Leaf Rust (Pucciniatriticina)

2014

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Spectral vegetation indices (SVIs) have been widely used to detect different plant diseases. Wheat leaf rust manifests itself as an early symptom with the leaves turning yellow and orange. The sign of advancing disease is the leaf colour changing to brown while the final symptom is when the leaf becomes dry. The goal of this work is to develop spectral disease indices for the detection of leaf rust. The reflectance spectra of the wheat's infected and non-infected leaves at different disease stages were collected using a spectroradiometer. As ground truth, the ratio of the disease-affected area to the total leaf area and the fractions of the different symptoms were extracted using an RGB digital camera. Fractions of the various disease symptoms extracted by the digital camera and the measured reflectance spectra of the infected leaves were used as input to the spectral mixture analysis (SMA). Then, the spectral reflectance of the different disease symptoms were estimated using SMA and the least squares method. The reflectance of different disease symptoms in the 450~1000 nm were studied carefully using the Fisher function. Two spectral disease indices were developed based on the reflectance at the 605, 695 and 455 nm wavelengths. In both indices, the R 2 between the estimated and the observed was as highas 0.94.

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Wheat leaf photosynthesis loss due to leaf rust, with respect to lesion development and leaf nitrogen status

Cited by 102 publications

References 36 publications

Yellow Rust Effects on Grain Yield, and Yield Components of Some Spring Bread Wheat Cultivars under Rainfed Conditions

Yellow Rust Effects on Grain Yield, and Yield Components of Some Spring Bread Wheat Cultivars under Rainfed Conditions

Evaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements

Developing Two Spectral Disease Indices for Detection of Wheat Leaf Rust (Pucciniatriticina)

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