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Yadav, S. M.
- Biochemical Constituents Of Alternaria Blight of Pathogens in Pigeonpea
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Authors
Affiliations
1 ICAR-CAZRI, Krishi Vigyan Kendra, Pali-Marwar (Rajasthan), IN
2 Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi (U.P.), IN
1 ICAR-CAZRI, Krishi Vigyan Kendra, Pali-Marwar (Rajasthan), IN
2 Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi (U.P.), IN
Source
Asian Journal of Bio Science, Vol 12, No 1 (2017), Pagination: 1-7Abstract
The common biochemical constituents like chlorophyll and carotenes are important in imparting resistance to the crop plants. Distinct variation in chlorophyll content of pigeonpea leaves of a set of twelve genotypes which were inoculated with representatives ten isolates. In the chlorophyll 'a', chlorophyll 'b', total chlorophyll and carotene content have recorded in higher amounts in resistant genotypes (ICP-7220, IPA-7-2) followed by moderately resistant (ICP-13174 and DA-11) and moderately susceptible (ICP-11294 and ICP-4725), whereas lower amount susceptible (BSMR-736 and ICP-7182) genotypes and highly susceptible genotypes (MAL-24, Bahar). The maximum chlorophyll and carotene content were found in resistant genotypes at early stage of plants with minimum reduction whereas, lowest content was found in susceptible genotypes old plants with highest reduction. It showed same trend in a-virulent isolates in which lowest reduction chlorophyll and carotenes content were found as compared to virulent (aggressive) isolates.Keywords
Genotypes, Resistance, Isolates, Alternaria, Chlorophyll, Carotene.References
- Alka and Singh, S. P. (2004). Survival of Alternaria tenuissima causing leaf spot of pigeonpea in diseased plant debris. Ann. Plant Protec. Sci., 12 (1): 231-232.
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- Bhaskaran, R. and Kandaswamy, T.K. (1978). Changes in ascorbic oxidase and ascorbic acid content in sunflower leaves due to Alternaria helianthi inoculation. Madras Agric. J., 65 : 419-420.
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- Ghose, L., Neela, F. A., Chakravorty, T.C., Ali, M. R. and Alam, M. S. (2010). Incidence of leaf blight disease of mulberry plant and assessment of changes in amino acids and photosynthetic pigments of infected leaf. Plant Pathol. J., 9 (3): 140-143.
- Kumar, V.R. and Parveen, Shabana (2002). Integrated disease, management of leaf blight of wheat. Ann.Pl. Protec. Sci. 10 : 302-307.
- Mesta, R.K. (2006). Epidemiology and management of Alternaria blight of sunflower caused by Alternaria helianthi (Hansf.) Tubaki and Nishihara. Ph. D. Thesis, University of Agricultural Sciences, Dharwad, KARNATAKA (INDIA).
- Pati, P. K., Sharma, M., Salar, R. K., Sharma, A., Gupta, A. P. and Singh, B. (2007). Studies on leaf spot disease ofWithania somnifera and its impact on secondary metabolites. Indian J. Microbiol., 48 : 432–437.
- Ravi, Sankar, N. and Sreeramulu, A. (2009). Biochemical changes in teak leaves infected by powdery mildew fungus Uncinula tectonae Salm. J. Plant Dis. Sci., 4 (1) : 57-59.
- Sharma, A.R. and Sharma, D.K. (1994). Biochemical and histological studies on susceptible and resistant maize leaves infected by Helminthosporium maydis. Plant Pathol., 43 : 972-978.
- Singh, S.K. and Singh, U. P. (1999). Effect of Alternaria tenuissima (Kunze ex. Pers.) Wiltshire on some biochemical changes in pigeonpea [Cajanus cajan (L.) Millsp.] leaves. Indian J. Plant Pathol., 17 (1/2): 36 - 42.
- Theertha, P. D. and Shambulingappa, K.G. (1986). Biochemical factors in Helianthus annuus L. in relation to rust (Puccinia helianthi) resistance. J. Oilseeds Res., 3: 268 - 269.
- Prediction of Total Load Transport of an Indian Alluvial River to Estimate Unmeasured Bed Load through an Alternative Approach
Abstract Views :196 |
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Authors
Affiliations
1 Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, IN
1 Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, IN
Source
Current Science, Vol 113, No 06 (2017), Pagination: 1120-1128Abstract
Predicting sediment transport in a natural stream is essential to adequately design different hydraulic structures like bridge piers, dam, causeway, etc., having a long service life. The prediction of sediment transport is a challenging task keeping in view the dynamic conditions of stream flow, which in turn depends upon a number of continuously and randomly changing flow parameters, channel parameters and fluid properties and thus no uniform mathematical or physical relationship can be adopted for prediction of sediment transport. The available empirical solutions, based mostly on regression, vary largely from one site condition to other. In India the bed load data is rarely measured and thus the availability of total load data for Indian alluvial river is virtually non existent and therefore a true empirical relationship cannot be developed for predicting total load in Indian streams. The present study aims to bridge this gap through a three-prong approach to predict the total load of an alluvial river (Shetrunji River). The unavailable (unmeasured) bed load data is computed using firstly, selected bed load transport equations and secondly, using Maddock’s estimation. These computed total load (computed bed load plus observed suspended load) are compared with the total load transport predicted using Yang’ 1973 and Yang’ 1979 Unit Stream Power (USP) equations. It was found that the best prediction of total load is obtained for Yang’1973 equation, when Shields (1936) bed load formula is used to compute bed load or when bed load is taken as 5% of observed suspended load. This methodology can be applied to predict the total load of rivers with reasonably good accuracy even in the absence of unmeasured bed load.Keywords
Alluvial Rivers, Bed Load, Empirical Relationship, Sediment Transport, Suspended Load.References
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- Einstein, H. A., The bedload function for sediment transport in open channel flow. US Department of Agriculture Soil Conservation Technical Bulletin, No. 1026, 1950.
- Bagnold, R. A., An approach to the sediment transport problem from general physics. US Geological Survey, Professional Paper 422-J, 1966.
- Parker, G., Hydraulic geometry of active gravel rivers. J. Hydraul. Eng., 1979, 105(9), 1185–1201.
- Swamee, P. K. and Ojha, C. S. P., Bed load and suspended load transport of non-uniform sediments. J. Hydraul. Eng., 1991, 117(6), 774–787.
- Julien, P. Y., River Mechanics, Cambridge University Press, 2002, p. 434.
- Recking, A., A simple method for calculating reach-averaged bed load transport. J. Hydraul. Eng., 2013, 139(1); doi:10.1061.
- Parker, G., Kilingeman, P. C. and Mclean, D. G., Bed load and size distribution in paved gravel-bed streams. J. Hydraul. Div. (ASCE), 1982, 108(4), 544–571.
- Misri, R. L., Ranga Raju, K. G. and Garde, R. J., Bed load transport of coarse non-uniform sediments. J. Hydraul. Eng., 1984, 110(3), 312–328.
- Samaga, B. R., Ranga Raju, K. G. and Garde, R. J., Bed load transport of sediment mixtures. J. Hydraul. Eng., 1986, 112(11), 1003–1018.
- Mittal, M. K., Porey, P. D. and Ranga Raju, K. G., Bed load transport of non-uniform sediments. In Proceedings of the Euromech 262 Colloquium on Sand Transport in Rivers, Estuaries and the Sea, CRC Press, Wallingford, UK, 1990.
- Bridge, J. S. and Bennett, S. J., A model for the entrainment and transport of sediment grains of mixed sizes, shapes and densities. Water Resour. Res., 1992, 28(2), 337–363.
- Patel, P. L. and Ranga Raju, K. G., Fraction wise calculation of bed load transport. J. Hydraul. Res., 1996, 34(3), 363–379.
- Fang, D. and Yu, G. L., Bed load transport in cobble-bed rivers. In Proceedings of International Water Resources Engineering Conference, Memphis, USA, 1998.
- Blench, T., Mobile-Bed Fluvialogy, A Regime Theory Treatment of Canals and Rivers for Engineers and Hydrologists, The University of Alberta Press, Alberta, Canada, 1969.
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- Shen, H. W. and Hung, C. S., An engineering approach to total bed-material load by regression analysis. In Proceedings of the Sedimentation Symposium, Berkeley, USA, 1972, pp. 14-1–14-17.
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- Yang, C. T., Unit stream power equation for gravel. J. Hydraul. Eng. (ASCE), 1984, 110(12), 1783–1797.
- Vanoni, V. A., Predicting Sediment Discharge in Alluvial Channels, Water Supply and Management, Pergamon Press, Oxford, UK, 1978, pp. 399–417.
- Waikhom, S. I., Prajapati, N. H. and Yadav, S. M., Evaluation of unit stream power approach for predicting total load transport rate. In Proceedings, Conference on Hydraulics, Water Resources, Coastal and Environmental Engineering, IIT Roorkee, 2015.
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- Nakato, T., Tests of selected sediment-transport formulas. J. Hydraul. Eng., 1990, 116(3), 362–379.
- Yang, C. T. and Molinas, A., Sediment transport and unit stream power equation. J. Hydraul. Div. (ASCE), 1982, 108(6), 774–793.
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- Sinnakaudan, S. K., Ab Ghani, A., Ahmad, M. S. S. and Zakaria, N. A., Multiple linear regression model for total bed material load prediction. J. Hydraul. Eng. (ASCE), 2006, 132(5), 521–528.
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- Waikhom, S. I. and Yadav, S. M., Testing of Maddock’s approximate estimation of bed load for rivers. In Proceedings of National Conference on Water Resources and Flood Management, Surat, Gujarat, India, 2016.
- Evaluation of Resistance for Early Blight Caused by Alternaria solani (Ellis and Martin) Sorauer in Tomato
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Authors
Affiliations
1 Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi (U.P.), IN
2 Division of Crop Improvement, Indian Institute of Vegetable Research, Varanasi (U.P.), IN
3 ICAR, CAZRI, KrishiVigyan Kendra, Pali (Rajasthan), IN
1 Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi (U.P.), IN
2 Division of Crop Improvement, Indian Institute of Vegetable Research, Varanasi (U.P.), IN
3 ICAR, CAZRI, KrishiVigyan Kendra, Pali (Rajasthan), IN
Source
Asian Journal of Bio Science, Vol 12, No 2 (2017), Pagination: 87-99Abstract
A trial was conducted during Rabi season 2011-2012 under field conditions for phenotyping of germplasm under natural conditions that have been developed for resistance against early blight of tomato caused by Alternaria solani. Field studies showed significant variation among all tested germplasmlines with respect to early blight disease assessment. Under field conditions the natural disease severity was scored on a five-point scale (0-5).The per cent disease index (PDI) and area under disease progress curve (AUDPC) value were calculated on the basis of data recorded. The mean AUDPC value in resistant (206 lines); moderately resistant (223 lines); moderately susceptible (129 lines) and susceptible (143 lines) tomato lines ranged between 102.00 to 447.25; 447.26 to 792.50; 792.51 to 1137.75 and 1137.76 to 1483.00, respectively.Keywords
Alternaria solani, Tomato, Natural Inoculums, Phenotyping, Resistant, AUDPC.References
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- Evaluation and calibration of bedload equation for the mountain ephemeral stream of Gujarat, India
Abstract Views :199 |
PDF Views:71
Authors
Affiliations
1 Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India, IN
1 Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India, IN
Source
Current Science, Vol 123, No 12 (2022), Pagination: 1499-1507Abstract
Bedload is rarely measured in Indian rivers. It is recommended that 5% of suspended load can be taken as bedload in the absence of measured bedload. The present study validates this by direct physical measurement of bedload using the Helley–Smith sampler in an ephemeral mountain stream of Gujarat, India. It was observed that, on an average, the bedload formed 3.97% of the suspended load. The measured bedload flux was 1.02 tonnes/day. To overcome the need and dependability on actual physical bedload measurement, a bedload rating curve against specific discharge was developed to predict the bedload rate in the study reach. Few prominent existing bedload equations selected from the literature were tested against the measured bedload, which over-predicted the bedload transport rate with a discrepancy ratio greater than 2 and RMSE 2.4–48. A calibration coefficient x = 0.00167 was introduced in the widely used Recking (2013) equation for the study reach resulting in an improvement of the coefficient of variation as 1.92 and RMSE as 1.35Keywords
Bedload, hydraulic parameters, mountain stream, sediment transport, suspended load.References
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