Relevant bibliographies by topics / Yellow rust on wheat crops

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Academic literature on the topic 'Yellow rust on wheat crops'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Yellow rust on wheat crops"

1

KHANFRI, Siham, Mohammed BOULIF, and Rachid LAHLALI. "Yellow Rust (Puccinia striiformis): a Serious Threat to Wheat Production Worldwide." Notulae Scientia Biologicae 10, no. 3 (2018): 410–23. http://dx.doi.org/10.15835/nsb10310287.

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Wheat (Triticum sp. L.), as one of the first domesticated food crops, is the basic staple food for a large segment of population around the world. The crop though is susceptible to many fungal pathogens. Stripe rust is an important airborne disease caused by Puccinia striiformis (Pst) and is widespread wherever wheat is cultivated throughout the world, in temperate-cool and wet environments. The causal fungus of stripe rust or yellow rust is an obligate parasite that requires another living host to complete its life cycle. Pst includes five types of spores in the life cycle on two distinct hosts. Stripe rust is distinguished from other rusts by the dusty yellow lesions that grow systemically in the form of streaks between veins and on leaf sheaths. The importance and occurrence of stripe rust disease varies in cultivated wheat, depending on environmental conditions (moisture, temperature, and wind), inoculum levels and susceptible host varieties. Transcaucasia was previously thought to be the center of origin for the pathogen. However, new findings further underlined Himalayan and near-Himalayan regions as center of diversity and a more tenable center of origin for P. striiformis. Long-distance dispersal of stripe rust pathogen in the air and occasionally by human activities enables Pst to spread to new geographical areas. This disease affects quality and yield of wheat crop. Early seeding, foliar fungicide application and cultivation of resistant varieties are the main strategies for its control. The emergence of new races of Pst with high epidemic potential which can adapt to warmer temperatures has expanded virulence profiles. Subsequently, races are more aggressive than those previously characterized. These findings emphasize the need for more breeding efforts of resistant varieties and reinforcement of other management practices to prevent and overcome stripe rust epidemic around the world.
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2

Bhaika, Amina. "Estimation of Yellow Rust in Wheat Crop Using K-Means Segmentation." International Journal of Scientific Research 2, no. 12 (2012): 14–16. http://dx.doi.org/10.15373/22778179/dec2013/5.

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3

Manninger, K. "Occurrence and virulence of wheat yellow rust in Hungary during 1999–2001." Plant Protection Science 38, SI 2 - 6th Conf EFPP 2002 (2017): 408–10. http://dx.doi.org/10.17221/10508-pps.

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The occurrence and virulence of wheat yellow rust in Hungary was studied in the period of 1999–2001. Yellow rust in Hungary occurred only in traces in 1999, strongly spread and reached epidemic level in Röjtökmuzsaj (West Hungary) in 2000, and the epidemic explosion was in the whole country in 2001. Surveys of yellow rust showed the importance of pathotypes, whose virulence spectra (virulent for Yr2, Yr3, Yr6, Yr7, Yr8, Yr9, Yr17, YrA+, YrCV, YrSD) were able to math the unknown resistance genes. Among 78 Hungarian and foreign cultivars 29 were strongly infected by yellow rust.
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4

Matveeva, Irina, Anastasia Danilova, Yuriy Kim, Olesya Miroshnichenko, and Alexander Grigoriev. "Efficacy of plant resistance inducers on cereal crops against a complex of pathogens." BIO Web of Conferences 21 (2020): 00029. http://dx.doi.org/10.1051/bioconf/20202100029.

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The article describes the benefits of using plant resistance inducers on cereal crops and the basic principles of their impact on pests development (Pyrenophora tritici-repentis, Puccinia triticina, Puccinia striiformis, Puccinia graminis, Puccinia hordei). The assessment results of the biological and economic effectiveness of L-479 and DL-59 preparations are presented in comparison with the chemical Kolosal,CE and biological Albit, which were used as standards for reducing the development of yellow leaf spot and rust diseases. L-479 product was found to be the most effective on wheat against brown, yellow and stem rust, and yellow leaf spot. Its biological efficacy ranged from 48.3 % to 57.0 % depending on the pathogen, and the increase in grain yield ranged from 3.7 % to 22.1 %. DL-59 product showed the best biological efficacy against dwarf leaf rust of barley – 89.8 %, the increase in grain yield was 3.5 %.
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5

Ali, Yasir, Muhammad A. Khan, Muhammad Atiq, Waseem Sabir, Arslan Hafeez, and Faizan A. Tahir. "OPTIMIZATION OF ENVIRONMENTAL FACTORS CONDUCIVE FOR STRIPE RUST OF WHEAT." Pakistan Journal of Phytopathology 29, no. 2 (2017): 239. http://dx.doi.org/10.33866/phytopathol.029.02.0400.

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Wheat rusts are the significant diseases of wheat crop and potential threats worldwide. Among all major wheat diseases occurring in all wheat growing areas of the world, yellow rust caused by Puccinia striiformis f. sp. tritici is a big hazard when it occurs in severe condition. The susceptible germplasm and conducive environmental conditions contribute towards wide outbreak of rust diseases. In the present study, eight wheat lines were screened out and correlated with epidemiological factors (temperature, relative humidity, rainfall and wind speed). Results showed that maximum disease severity was observed at minimum and maximum temperature ranging from 13.7-16.7 and 23.5-27.65 0C respectively. Their disease severity was increased with increase in relative humidity ranging from 52-64 %. Similarly, rain fall ranging from 5.7-21.99 mm and wind speed 6.88-11.73 km/h respectively proved conducive for yellow rust development in Sargodha. A positive correlation was observed between disease severity and all environmental factors.
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6

Kema, Gert H. J. "Resistance in spelt wheat to yellow rust." Euphytica 63, no. 3 (1992): 207–17. http://dx.doi.org/10.1007/bf00024546.

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7

Kema, Gert H. J., and Wouter Lange. "Resistance in spelt wheat to yellow rust." Euphytica 63, no. 3 (1992): 219–24. http://dx.doi.org/10.1007/bf00024547.

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8

Kema, Gert H. J. "Resistance in spelt wheat to yellow rust." Euphytica 63, no. 3 (1992): 225–31. http://dx.doi.org/10.1007/bf00024548.

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9

Kharouf, Shoula, Shadi Hamzeh, and Mohamad Fawaehz Azmeh. "Races Identification of Wheat Rusts in Syria during the 2019 Growing Season." Arab Journal for Plant Protection 39, no. 1 (2021): 1–13. http://dx.doi.org/10.22268/ajpp-39.1.001013.

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Kharouf, Sh., Sh. Hamzeh and M.F. Azmeh. 2021. Races Identification of Wheat Rusts in Syria during the 2019 Growing Season. Arab Journal of Plant Protection, 39(1): 1-13. Wheat rust diseases, caused by Puccinia striiformis f. sp. tritici (stripe or yellow rust), P. triticina f. sp. tritici (leaf or brown rust) and P. graminis f. sp. tritici (stem or black rust) are important factors affecting both durum and bread wheat production in Syria. Considerable losses were caused by these diseases, especially stripe rust, estimated at more than one million metric tons, in the 2010 season, out of 5 million anticipated production. Therefore, it is essential to monitor and follow the movement of these three rust physiological races. In the 2019 growing season, 165 wheat fields were surveyed, and 312 samples were collected and characterized. Ten races of stripe rust were identified in ten locations, of which, four represent new record in Syria, namely the races 16E154, 69E150, 264E46 and 258E64. In addition, four races of leaf rust were identified in four locations, one of which (BKLP) is a new record in Syria. In addition, three previously recorded stem rust races were identified from three different locations. It should be mentioned that the newly recorded races of stripe rust are able to overcome resistance genes Yr1 and Yr5, on which the resistance of durum wheat cultivars such as "Cham3" depended, with a disease severity of 40S recorded in the same locations. It is also worth noting that the stripe rust race 462E128 (warrior) was not detected in the isolates studied. Likewise, the stem rust race Ug99 was also not identified, and because of the aggressiveness of this race, continuous inspection through field surveys accompanied with pathogenicity tests is essential during the coming seasons. Keywords: Stripe (yellow) rust, Leaf (brown) rust, stem (black) rust, race identification, wheat, Syria
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10

Krishna, G., R. N. Sahoo, S. Pargal, et al. "Assessing Wheat Yellow Rust Disease through Hyperspectral Remote Sensing." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (December 23, 2014): 1413–16. http://dx.doi.org/10.5194/isprsarchives-xl-8-1413-2014.

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The potential of hyperspectral reflectance data was explored to assess severity of yellow rust disease (Biotroph Pucciniastriiformis) of winter wheat in the present study. The hyperspectral remote sensing data was collected for winter wheat (Triticum aestivum L.) cropat different levels of disease infestation using field spectroradiometer over the spectral range of 350 to 2500 nm. The partial least squares (PLS) and multiple linear (MLR) regression techniques were used to identify suitable bands and develop spectral models for assessing severity of yellow rust disease in winter wheat crop. The PLS model based on the full spectral range and n = 36, yielded a coefficient of determination (R2) of 0.96, a standard error of cross validation (SECV) of 12.74 and a root mean square error of cross validation (RMSECV) of 12.41. The validation analysis of this PLS model yielded r2 as 0.93 with a SEP (Standard Error of Prediction) of 7.80 and a RMSEP (Root Mean Square Error of prediction) of 7.46. The loading weights of latent variables from PLS model were used to identify sensitive wavelengths. To assess their suitability multiple linear regression (MLR) model was applied on these wavelengths which resulted in a MLR model with three identified wavelength bands (428 nm, 672 nm and 1399 nm). MLR model yielded acceptable results in the form of r2 as 0.89 for calibration and 0.90 for validation with SEP of 3.90 and RMSEP of 3.70. The result showed that the developed model had a great potential for precise delineation and detection of yellow rust disease in winter wheat crop.
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