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Sandhu, Sarabjot Kaur
- Microclimate Modification to Manage Yellow Rust Incidence in Wheat
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1 School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana (Punjab), IN
1 School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana (Punjab), IN
Source
International Journal of Plant Protection, Vol 9, No 2 (2016), Pagination: 450-454Abstract
The field experiment was conducted during Rabi seasons of 2012-13 and 2013-14 at the Research Farm, School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana. Wheat varieties HD 2967, PBW 550 and PBW 343 were sown under two row direction viz., North-South (N-S) and East-West (E-W). Yellow rust incidence was recorded at weekly intervals. Among different row direction the disease incidence was higher under N-S row direction as compared to E-W row direction during both the years. Among three varieties HD 2967 was highly resistant to yellow rust. During both the years maximum temperature, minimum temperature and sunshine hours were positively correlated whereas morning and evening relative humidity were negatively correlated with yellow rust incidence. Highly significant value of R2 (0.95 and 0.93) was foundwhen maximum meteorological parameters were combined in PBW 343 in crop sown under North-South and East-West row direction, respectively.Keywords
Canopy Temperature, Relative Humidity, Wheat, Yellow Rust, Humid Thermal Ratio.References
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- Effect of Weather Parameters on Yellow Rust Incidence of Wheat under Different Growing Environment
Abstract Views :200 |
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Authors
Affiliations
1 School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana (Punjab), IN
1 School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana (Punjab), IN
Source
International Journal of Plant Protection, Vol 10, No 2 (2017), Pagination: 415-419Abstract
Yellow rust is the major wheat disease and is influenced by prevailing weather conditions. Field experiment was conducted to investigate the effect of weather parameters on yellow rust incidence under different growing environments. Wheat varieties HD 2967, PBW 550 and PBW 343 were sown under three row spacing viz.,15 cm, 22.5 cm and 30 cm. Yellow rust incidence was recorded at weekly intervals. Disease incidence was higher (100%) during Rabi 2012-13 as compared to 2013-14 (90%). Among different row spacing the disease incidence was maximum (100 %) in 15 cm row spacing followed by 22.5 cm and minimum in 30 cm spacing during both the years. Among three varieties HD 2967 was highly resistant to yellow rust. During both the years maximum temperature, minimum temperature and sunshine hours were positively correlated whereas morning and evening relative humidity were negatively correlated with yellow rust incidence. Highly significant value of R2 (0.91 and 0.92) was foundwhen maximum meteorological parameters were combined in PBW 550 and PBW 343, respectively.Keywords
Wheat, Yellow Rust, Row Spacing, Temperature, Relative Humidity.References
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- Dutta, Indrani, Dhaliwal, L. K., Mann, S. K. and Chahal, S. K. (2008). Effect of meteorological parameters on phenology, yield and yield contributing characteristics and yellow rust of wheat. J.Agrometeorol., 10 (1): 189-192.
- Friedrich, S. (1995). Modeling infection probability of powdery mildew in winter wheat by meteorological input variables. J. Plant Dis. Prot., 102 : 354-365.
- Huerta Espino, J., Singh, R. P., German, S., McCallum, B. D., Park, R.F. and Chen, W.Q. (2011). Global status of wheat leaf rust caused by Puccinia triticina. Euphytica 179: 143–160.
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- Lemaire, D., Huret, S., Calaym, F. and Maraite, H. (2002). Understanding P. striiformisWest. epidemics on winter wheat. Meded Rijksuniv Gent -Fak Landlbourwkd Toegep. Biol. Wet., 67 : 251-256.
- Murray, G., Wellings, C. and Simpfendorfer, S. (2005). Report on Stripe Rust: Understanding the disease in wheat, New South Wales Department of Primary Industries. pp. 1-12.
- Papastamati, K. Bosch and Van den, F. (2007).The sensitivity of the epidemic growth rate to weather variables, with an application to yellow rust on wheat. Phytopathol., 97( 2): 202-210.
- Rader, T., Racca, P., Jorg, E. and Hau, B. (2007). PUCREC/PUCTRIa decision support system for the control of leaf rust of winter wheat and winter rye. EPPO Bull., 37(2): 378–382.
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- Srinivasan, G. (1983). Role of meteorological factors in the Epidemiology of Karnal bunt and rust diseases of wheat. M.Sc. Thesis, Punjab Agricultural University, Ludhiana (PUNJAB) INDIA.
- Effect of Row Orientation on Radiation Interception and Growth Dynamics of Wheat
Abstract Views :197 |
PDF Views:0
Authors
Affiliations
1 School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana (Punjab), IN
1 School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana (Punjab), IN
Source
International Journal of Agricultural Sciences, Vol 14, No 1 (2018), Pagination: 186-191Abstract
The field experiments were conducted at Research Farm, School of Climate Change and Agricultural Meteorology during 2012-13 and 2013-14. This study was planned to know importance of row orientation in radiation interception and growth dynamics of wheat crop. Three wheat varieties viz., HD 2967, PBW 550 and PBW 343 were sown under two row orientation i.e. North-South (N-S) and East-West (E-W) on 25th November during both crop seasons. PAR interception, dry matter accumulation and leaf area index were recorded at periodic intervals during both crop seasons. The PAR interception was more in east-west row orientation as compared to north-south row orientation in all the three varieties. Among different varieties, HD 2967 intercepted maximum photosynthetically active radiation due to highest leaf area index of crop. Relationships were developed between PAR interception and dry matter accumulation and leaf area index. Highly significant co-efficient of determination (R2) were found and these R2-values indicated that PAR interception significantly influence dry matter accumulation as well as leaf area index of crop.Keywords
Row Orientation, PAR Interception, Leaf Area Index, Dry Matter Accumulation.References
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