Research Article
BibTex RIS Cite

Evaluation of Bread Wheat (Triticum aestivum L.) Genotypes for Yellow Rust Resistance in Relation to Meteorological Parameters

Year 2022, Volume: 8 Issue: 1, 53 - 60, 30.01.2022

Abstract

Three bread wheat varieties (Triticum aestivum L.), i.e., HD 2967, WH 711 and PBW 343, were grown in randomised
block design with four replications under field conditions over two years in winter season at wheat and Barley Research
farm, at CCS Haryana Agricultural University Hisar to evaluate the stripe rust severity in relation to meteorological factors
like minimum and maximum temperature (°C) and relative humidity (%), rainfall (mm), soil temperature (°C), canopy
temperature (°C), cloud cover (Okta), wind speed (km/h), sunshine hours (h/day) and morning and evening vapour pressure
(mm Hg). Observations were recorded on five randomly selected plants in each replication on stripe rust severity as percent
leaf area covered using Modified Cobb’s scale. Results revealed that low temperature (10-12°C) and high relative humidity
(90%) along with intermittent rainfall were found conducive for the onset of stripe rust. Low temperature and moderate
humidity favored the disease initiation and development. At the initiation of disease, the severity was more in PBW 343
(0.68%) followed by WH711 (0.59%) during first SMW whereas HD 2967, exhibited disease initiation during 2nd SMW
with 2.19% severity. Disease progression was also different in different wheat varieties. Disease gradually advanced with
the crop age, and increased sharply from 15.00 to 38.00% in HD 2967, 27.50 to 46.00% in WH711 and 35.00 to 43.6%
in PBW 343 during 6-8th Standard Meteorological Week, when the crop was at stem elongation to jointing stage, i.e., GS
36-47 (64-78 DAS). Yield loss due to disease severity was estimated to be 356 kg/ha, 690 kg/ha and 400 kg/ha in wheat
varieties HD2967, WH711 PBW343, respectively. Step-wise multiple regression showed high R2 value of 0.885, 0.919
and 0.952 for the predictive model of stripe rust in HD 2967, WH 711 and PBW 343, respectively

References

  • Ahmed S, Afzal LRN, Iqbal Z, Akhtar N, Iftkar Y and Kamran M, (2010). Prediction of yield losses in bread wheat (Triticum aestivum L.) caused by yellow rust in relation to epidemiological factors in Faisalabad. Pak. J. Bot., 42: 401-407.
  • Akar T, Yazar S and Donmez E, (2007). Current status of national winter bread wheat breeding in Turkey. J. Agric. Res., 45: 1-9.
  • Beddow JM, Pardey PG, Chai Y, Hurley TM, Kriticos DJ and Braun JC, (2015). Research investment implications of shifts in the global geography of bread wheat stripe rust. Nat. Plant, 1: 132.
  • Chen W, Wellings C, Chen XM, Kang ZS and Liu TG, (2014). Bread wheat stripe (yellow) rust caused by Puccinia striiformis f. sp. tritici. Mol. Pl. Path., 15: 433-446.
  • Chen XM, (2005). Epidemiology and control of stripe rust (Puccinia striiformis f. sp. tritici) on bread wheat. Can. J. Pl. Path., 27: 314-337.
  • Chen WQ, Wu LR, Liu TG and Xu SC, (2009). Race dynamics, diversity and virulence evolution in Puccinia striiformis f. sp. tritici, the causal agent of bread wheat stripe rust in China from 2003 to 2007. Pl. Dis., 93: 1093-1101.
  • Christensen K, Jorgensen LN and Secher BJM, (1993). Development of a yellow rust model based on historical data. In: Proceeding of the 10th Danish Plant Protection Conference on Plantevaernscentret, Lyngby, Denmark, pp. 71-78.
  • Coakley SM, Line RF and McDaniel R, (1988). Predicting stripe rust on winter bread wheat using an improved method for analyzing meteorological and rust data. Phytopathol., 78: 543-550.
  • Cornell JA and Berger RD, (1987). Factors that influence the value of co-efficient of determination in simple linear and nonlinear regression models. Phytopathol., 77: 63-70.
  • Curtis BC, Rajaram S and Macpherson HG, (2002). Bread Wheat: Improvement and Production. Food and Agriculture Organization of the United Nations, Rome, Italy, Series Number 30, p.554.
  • DeVallavielle-Pope C, Huber L, Leconte M and Bethenod O, (2002). Pre-inoculation effects of light quantity on infection efficiency of Puccinia striiformis and Puccinia triticina on bread wheat seedlings. Phytopathol., 92: 1308-1314.
  • Hovmøller MS, (2016). Replacement of the European bread wheat yellow rust population by new races from the centre of diversity in the near-Himalayan region. Pl. Pathol., 65: 402-411.
  • evtić R, Župunski V, Lalošević M and Župunski LJ, (2017). Predicting potential winter bread wheat yield losses caused by multiple disease systems and climatic conditions. Crop Prot., 99: 17-25.
  • Jarroudi ME, (2017). A threshold-based weather model for predicting stripe rust infection in winter bread wheat. Pl. Dis., 101: 693-703.
  • Line RF, (2002). Stripe rust of bread wheat and barley in North America: a retrospective historical review. Ann. Rev. Phytopathol., 40: 75-118.
  • Madden LV, (1986). Statistical analysis and comparison of disease progress curve. In: Plant disease Epidemiology: Population Dynamic and Management (Eds. Loonard, K.J. and Fry, W.E.). Macmillan, New York (NY), pp. 55-83.
  • Pandey P, Irulappan V, Bagavathiannan MV and Senthil- Kumar M, (2017). Impact of combined abiotic and biotic stresses on plant growth and avenues for crop improvement by exploiting physiomorphological traits. Front. Pl. Sci., 8: 537.
  • Peterson RF, Campbell AB and Hannah AE, (1948). A diagrammatic scale for estimating rust intensity on leaves and stems of cereals. Can. J. Res., 26(5): 496-500.
  • Singh RP, William HM, Huerta-Espino J and Rosewarne G, (2004). Bread wheat rust in Asia: meeting the challenges with old and new technologies. In: Proceedings of the 4th International Crop Science Congress, Brisbane, Australia.
  • Singh RP, Huerta-Espino J, Bhavani S, Herrera- Foessel SA, Singh D, Singh PK, Velu G, Mason RE and Crossa J, (2002). Race non-specific resistance to rust diseases in international maize and bread wheat improvement centre, Mexico spring bread wheat. Euphytica., 179: 175-186.
  • Singh TB and Tewari AN, (2001). The role of weather conditions in the development of foliar diseases of bread wheat under tarai conditions of north western India. Pl. Dis. Res., 16: 173-178.
  • TeBeest DE, Paveley ND, Shaw MW, Pietravalle S and Vanden BF, (2009). Disease weather relationship for powdery mildew and yellow rust on winter bread wheat. Phytopathol., 124: 413-425.
  • Wellings CR, (2011). Global status of stripe rust: a review of historical and current threats. Euphytica, 179: 129-141.
  • Wellings CR, Singh RP, McIntosh RA and Yayhaoui A, (2000). The assessment and significance of pathogenic variability in Puccinia striiformis in breeding for resistance to stripe (yellow) rust. In: Proceeding of 11th Regional Bread wheat Workshop for Eastern, Central and Southern Africa, Addis Ababa, Ethiopia, Africa, pp. 18-22.
There are 24 citations in total.

Details

Primary Language English
Subjects Agricultural Engineering
Journal Section Articles
Authors

Pooja Pooja This is me

Satyavir Singh Dhanda This is me

Virender Singh Pahıl This is me

Rishi Kumar Behl This is me

Publication Date January 30, 2022
Published in Issue Year 2022 Volume: 8 Issue: 1

Cite

APA Pooja, P., Dhanda, S. S., Pahıl, V. S., Behl, R. K. (2022). Evaluation of Bread Wheat (Triticum aestivum L.) Genotypes for Yellow Rust Resistance in Relation to Meteorological Parameters. Ekin Journal of Crop Breeding and Genetics, 8(1), 53-60.
AMA Pooja P, Dhanda SS, Pahıl VS, Behl RK. Evaluation of Bread Wheat (Triticum aestivum L.) Genotypes for Yellow Rust Resistance in Relation to Meteorological Parameters. Ekin Journal. January 2022;8(1):53-60.
Chicago Pooja, Pooja, Satyavir Singh Dhanda, Virender Singh Pahıl, and Rishi Kumar Behl. “Evaluation of Bread Wheat (Triticum Aestivum L.) Genotypes for Yellow Rust Resistance in Relation to Meteorological Parameters”. Ekin Journal of Crop Breeding and Genetics 8, no. 1 (January 2022): 53-60.
EndNote Pooja P, Dhanda SS, Pahıl VS, Behl RK (January 1, 2022) Evaluation of Bread Wheat (Triticum aestivum L.) Genotypes for Yellow Rust Resistance in Relation to Meteorological Parameters. Ekin Journal of Crop Breeding and Genetics 8 1 53–60.
IEEE P. Pooja, S. S. Dhanda, V. S. Pahıl, and R. K. Behl, “Evaluation of Bread Wheat (Triticum aestivum L.) Genotypes for Yellow Rust Resistance in Relation to Meteorological Parameters”, Ekin Journal, vol. 8, no. 1, pp. 53–60, 2022.
ISNAD Pooja, Pooja et al. “Evaluation of Bread Wheat (Triticum Aestivum L.) Genotypes for Yellow Rust Resistance in Relation to Meteorological Parameters”. Ekin Journal of Crop Breeding and Genetics 8/1 (January 2022), 53-60.
JAMA Pooja P, Dhanda SS, Pahıl VS, Behl RK. Evaluation of Bread Wheat (Triticum aestivum L.) Genotypes for Yellow Rust Resistance in Relation to Meteorological Parameters. Ekin Journal. 2022;8:53–60.
MLA Pooja, Pooja et al. “Evaluation of Bread Wheat (Triticum Aestivum L.) Genotypes for Yellow Rust Resistance in Relation to Meteorological Parameters”. Ekin Journal of Crop Breeding and Genetics, vol. 8, no. 1, 2022, pp. 53-60.
Vancouver Pooja P, Dhanda SS, Pahıl VS, Behl RK. Evaluation of Bread Wheat (Triticum aestivum L.) Genotypes for Yellow Rust Resistance in Relation to Meteorological Parameters. Ekin Journal. 2022;8(1):53-60.