scholarly journals Exome association analysis sheds light onto leaf rust ( Puccinia triticina ) resistance genes currently used in wheat breeding ( Triticum aestivum L.)

2019 ◽  
Vol 18 (6) ◽  
pp. 1396-1408 ◽  
Author(s):  
Fang Liu ◽  
Yusheng Zhao ◽  
Sebastian Beier ◽  
Yong Jiang ◽  
Patrick Thorwarth ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Leaf Rust ◽  
Association Analysis ◽  
Resistance Genes ◽  
Puccinia Triticina ◽  
Triticum Aestivum L ◽  
Wheat Breeding

scholarly journals Lr19 Resistance in Wheat Becomes Susceptible to Puccinia triticina in India

Plant Disease ◽  
2005 ◽  
Vol 89 (12) ◽  
pp. 1360-1360 ◽  
Author(s):  
S. C. Bhardwaj ◽  
M. Prashar ◽  
S. Kumar ◽  
S. K. Jain ◽  
D. Datta
Keyword(s):  
Leaf Rust ◽  
Wheat Variety ◽  
Puccinia Triticina ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Adult Plant ◽  
Distribution Data ◽  
Agropyron Elongatum ◽  
Peninsular India ◽  
Slow Rusting

Lr19, a resistance gene originally transferred from Agropyron elongatum to wheat (Triticum aestivum L.), has remained effective worldwide against leaf rust (Puccinia triticina Eriks.) except in Mexico (1). This report records a new pathotype of P. triticina virulent on Lr19 from India. From 2003 to 2004, 622 wheat leaf rust samples from 14 states were subjected to pathotype analysis. Samples were established on susceptible wheat cv. Agra Local, and pathotypes were identified on three sets of differentials following binomial nomenclature (3). Virulence on Lr19 (Agatha T4 line) was observed in approximately 2% of samples. These samples were picked from Lr19 (NIL), cvs. Ajit, Lal Bahadur, Local Red, Lok1, and Nirbhay from Karnataka and Gujarat states. All Lr19 virulent isolates were identical. The reference culture is being maintained on susceptible wheat cv. Agra Local and has also been put under long-term storage in a national repository at Flowerdale. From 2004 to 2005, this pathotype was detected in 6.3% of samples from central and peninsular India. There is no wheat variety with Lr19 under cultivation in India, however, it is being used in wheat breeding programs targeted at building resistance against leaf and stem rusts. NIL's Lr19/Sr25 (LC25) and Lr19/Sr25 (82.2711) were also susceptible to this isolate, whereas Lr19/Sr25 (spring accession) was resistant. The new isolate, designated as 253R31 (77-8), appears to be close to the pathotype 109R31 (4) with additional virulence for Lr19. The avirulence/virulence formula of pathotype 253R31 is Lr9, 23, 24, 25, 26, 27+31, 28, 29, 32, 36, 39, 41, 42, 43, 45/Lr1, 2a, 2b, 2c, 3, 10, 11, 12, 13, 14a, 14b, 14ab, 15, 16, 17, 18, 20, 21, 22a, 22b, 30, 33, 34, 35, 37, 38, 40, 44, 48, and 49. To our knowledge, this is the first report of virulence on Lr19 from two states of India. On international rust differentials, it is designated as TGTTQ (2), and is different from CBJ/QQ (1), the other isolate reported virulent on Lr19 from Mexico. The Mexican isolate is avirulent on Lr1, 2a, 2b, 2c, 3ka, 16, 21, and 30 to which the Indian isolate is virulent. However, both isolates are avirulent on Lr9, 24, 26, 36, and Lr42. Among the wheat cultivars identified during the last 6 years, HD2824, HD2833, HD2864, HI1500, HS375, HUW 510, HW 2044, HW 5001, Lok 45, MACS 6145, MP4010, NW 2036, PBW 443, PBW 498, PBW 502, PBW 524, Raj 4037, UP 2565, VL 804, VL 829, and VL 832 and lines of wheat possessing Lr9, Lr23, Lr24, and Lr26 showed resistance to this pathotype. PBW 343, which occupies more than 5 million ha in India, is also resistant to this pathotype along with PBW 373. An integrated strategy using a combination of diverse resistance genes, deployment of cultivars by using pathotype distribution data, slow rusting, and adult plant resistance is in place to curtail selection of new pathotypes and prevent rust epiphytotics. References: (1) J. Huerta-Espino and R. P. Singh. Plant Dis. 78:640,1994. (2) D. V. Mc Vey et al. Plant Dis. 88:271, 2004. (3) S. Nagarajan et al. Curr. Sci. 52:413, 1983. (4) S. K. Nayar et al. Curr. Sci. 44:742, 1975.

Leaf rust (Puccinia triticina) mediated RNAi in wheat (Triticum aestivum L.) prompting host susceptibility

2019 ◽  
Vol 19 (3) ◽  
pp. 437-452 ◽  
Author(s):  
Summi Dutta ◽  
Shailendra Kumar Jha ◽  
Kumble Vinod Prabhu ◽  
Manish Kumar ◽  
Kunal Mukhopadhyay
Keyword(s):  
Triticum Aestivum ◽  
Leaf Rust ◽  
Puccinia Triticina ◽  
Triticum Aestivum L ◽  
Host Susceptibility

UN MÉTODO PRECISO PARA MEDIR SEVERIDAD DE ROYA DE LA HOJA (Puccinia triticina Eriksson) EN TRIGO

2015 ◽  
Vol 38 (4) ◽  
pp. 427 ◽  
Author(s):  
Carlos P. Sauceda-Acosta ◽  
Gabriel A. Lugo-García ◽  
Héctor E. Villaseñor-Mir ◽  
Leopoldo Partida-Ruvalcaba ◽  
Álvaro Reyes-Olivas
Keyword(s):  
Triticum Aestivum ◽  
Puccinia Triticina ◽  
Triticum Aestivum L ◽  
Para Determinar

La estimación visual de la severidad de una enfermedad es subjetiva y no repetible, por lo que se requiere investigar métodos alternos que midan con exactitud la superficie dañada de un órgano vegetal. En este estudio se desarrolló una metodología para medir la severidad de la roya de la hoja (Puccinia triticina Eriksson) en trigo (Triticum aestivum L.) cvs. INIA F-66, Jupateco-73R, Morocco, Sonora F-64 y WL-711, con base en análisis de imágenes digitales (AID). Con el AID se calculó el porcentaje real de área foliar dañada por la enfermedad (MED, %), y se comparó con la metodología visual (EST, %) para estimar la severidad, realizada por tres evaluadores en dos muestreos con 10 repeticiones. La imagen de las hojas se obtuvo con escáner, AID se realizó y automatizó con el programa ImageJ 1.48r. Se midió el área foliar (AS, mm2), área dañada (AD, mm2), número (NTL), tamaño (TAM, mm2) y forma de las lesiones. Se calculó número de lesiones por cm2 (LPC) y la MED. Los métodos estuvieron correlacionados entre sí (rs = 0.86, P ≤ 0.0001); aunque EST carece de exactitud. Las severidades determinadas por los evaluadores y con el AID fueron diferentes (K-W ≈ X2 = 21.73, P ≤ 0.05). Los cultivares mostraron diferencias en MED y EST (P ≤ 0.001); pero los evaluadores sobrestimaron EST cuando el AD fue menor a 19 % y al rebasar este nivel la subestimaron. Morocco presentó la mayor MED (49.4 %). Jupateco-73R y Sonora F-64 tuvieron las menores NTL, TAM y LPC (P ≤ 0.001). Las ventajas de usar el AID son: permite discriminar entre AD y área sana, requiere menos de 1 min para determinar variables relacionadas con la severidad de roya. Este método presenta repetitividad, reduce el error experimental y la subjetividad.

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