Refine your search
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Chaturvedi, Sumit
- Stable Variegated Mutant in Dendrocalamus Asper (schult.) Backer Ex Heyne
Abstract Views :144 |
PDF Views:0
Authors
Affiliations
1 G.B. Pant University of Agriculture and Technology, Pantnagar (Uttarakhand)
1 G.B. Pant University of Agriculture and Technology, Pantnagar (Uttarakhand)
Source
Indian Forester, Vol 140, No 3 (2014), Pagination: 320-321Abstract
No Abstract- Suitability of Soybean Varieties under Second Year Populus deltoides Plantation in Tarai Region of Uttarakhand
Abstract Views :122 |
PDF Views:0
Authors
Affiliations
1 G.B. Pant University of Agriculture & Technology, Pantnagar (US Nagar), Uttarakhand, IN
1 G.B. Pant University of Agriculture & Technology, Pantnagar (US Nagar), Uttarakhand, IN
Source
Indian Forester, Vol 141, No 9 (2015), Pagination: 981-984Abstract
An experiment to evaluate the performance of different varieties of soybean (Glycine max L. Merrill) under two year poplar based agroforestry system was conducted during kharif season in tarai region of Uttarakhand. Four varieties of soybean viz., PS 1042, PS 1225, PS 1347 and PS 1024 of soybean were grown under poplus, and as sole crop. Germination count/m2 and plant height was not significantly influenced by growth conditions. Growing condition significantly influenced primary branches and number of pods per plant of soybean however; grains per pod, pod length per plant and hundred grains weight (g) were insignificant. Among the varieties, all the yield attributes were higher in PS 1225 except hundred grains weight which was higher in PS 1042. Grain and straw yield were found to be higher in open system (sole soybean) as compared to under shade of poplar showing reduction of 3.94 and 9.86 per cent, respectively. Soybean variety PS 1225 recorded highest grain yield (2996 kg/ha) as compared to all other varieties under-storey poplar. However, maximum harvest index was observed in PS 1347 (44.22 %). It can be concluded that soybean crop can be successfully grown under poplar during second year of plantation.Keywords
Soybean, Varieties, Under-Storey, Poplar Plantation.- Soil Organic Carbon Dynamics in Populus deltoides Plantations Using RothC-model in The Indo-Gangetic Region of India
Abstract Views :174 |
PDF Views:73
Authors
Pankaj Panwar
1,
Sanjeev Chauhan
2,
D. K. Das
3,
Rajesh Kaushal
4,
Gurveen Arora
5,
Sumit Chaturvedi
4
Affiliations
1 ICAR-Indian Institute of Soil and Water Conservation, Research Centre, Chandigarh 160 019, IN
2 Department of Forestry and Natural Resources, Panjab Agricultural University, Ludhiana 141 004, IN
3 Dr Rajendra Prasad Central Agricultural University, Pusa 848 125, IN
4 ICAR-Indian Institute of Soil and Water Conservation, Dehradun 248 195, IN
5 G.B. Pant University of Agriculture and Technology, Pantnagar 263 145, IN
1 ICAR-Indian Institute of Soil and Water Conservation, Research Centre, Chandigarh 160 019, IN
2 Department of Forestry and Natural Resources, Panjab Agricultural University, Ludhiana 141 004, IN
3 Dr Rajendra Prasad Central Agricultural University, Pusa 848 125, IN
4 ICAR-Indian Institute of Soil and Water Conservation, Dehradun 248 195, IN
5 G.B. Pant University of Agriculture and Technology, Pantnagar 263 145, IN
Source
Current Science, Vol 121, No 12 (2021), Pagination: 1623-1627Abstract
Soil organic carbon (SOC) change can arise because of changes in land use, land management and climatic conditions. Modelling approach helps in proper choice of management practices for soil carbon build-up. In this context, RothC is a promising model for estimation of SOC changes in different land-use systems. In the present study, RothC model was used to predict the development of SOC in Populus deltoides plantation during three rotations in three agro-climatic zones of the Indo-Gangetic region, India. The result reveal that RothC fairly predicts SOC. Root mean square error for Lower Gangetic Region (LGR), Middle Gangetic Region (MGR) and Trans Gangetic Plain (TGP) was 2.75, 4.94 and 1.30 respectively, while comparing modelled and measured data. Model efficiency was 0.25, 0.36 and 0.89 for LGR, MGR and TGP respectively. The rate of change of measured SOC was 1.0, 1.59 and 1.51 mg ha–1 year–1 for LGR, MGR and TGP respectively, whereas the rate of change of simulated SOC was higher, i.e. 1.16 and 1.89 mg ha–1 year–1 for LGR and UGR respectively, and lower for TGP (0.97 mg ha–1 year–1).Keywords
Management Practices, Populus deltoids, Simulation Models, Soil Organic Carbon.References
- Van Keulen, H., Tropical soil organic matter modelling: problems and prospects. Nutr. Cycl. Agroecosyst., 2001, 61(1/2), 33–39.
- Rani, S., Benbi, D. K., Rajasekaran, A. and Chauhan, S. K., Litterfall, decomposition and nutrient release patterns of different tree species in Taran Taran district of Punjab, India. J. Appl. Nat. Sci., 2016, 8(3), 1260–1266.
- Farage, P. K. et al., The potential for soil carbon sequestration in the tropic dryland farming systems of Africa and Latin America: a modelling approach. Soil Tillage Res., 2007, 94, 457–472.
- Jones, C. et al., Global climate change and soil carbon stock; predictions from two contrasting models for turnover of organic carbon in soil. Global Change Biol., 2005, 11, 154–166.
- Paustian, K. O. et al., Agricultural soil as a C sink to offset CO2 emission. Soil Use Manage., 1997, 13, 230–244.
- Kumar, Dinesh and Singh, N. B., Status of poplar introduction in India. For. Bull., 2012, 12(1), 9–14.
- Ludwig, B. et al., Predictive modelling of C dynamics in the longterm fertilization experiment at Bad Lauchstadt with the Rothamsted carbon model. Eur. J. Soil Sci., 2007, 58(5), 1155–1163.
- Dendoncker, N. et al., Assessing scale effects on modelled soil organic carbon contents as a result of land use change in Belgium. Soil Use Manage., 2008, 24, 8–18.
- Falloon, P. et al., Climate change and its impact on soil and vegetation carbon storage in Kenya, Jordan, India and Brazil. Agric. Ecosyst. Environ., 2007, 122, 114–124.
- Coleman, K. et al., Simulating trends in soil organic carbon in long-term experiments using RothC-26.3. Geoderma, 1997, 81(1–2), 29–44.
- Jenkinson, D. S. et al., Estimating net primary production from measurements made on soil organic matter. Ecology, 1999, 80, 2762–2773.
- Kelly, R. H. et al., Simulating trends in soil organic carbon in long-term experiments using the century model. Geoderma, 1997, 81(1–2), 75–90.
- Smith, P. et al., A comparison of the performance of nine soil organic matter models using datasets from seven long-term experiments. Geoderma, 1997, 81(1–2), 153–225.
- Malamoud, K. et al., Modelling how carbon affects soil structure. Geoderma, 2009, 149, 19–26.
- Falloon, P. et al., Estimating the size of the inert organic matter pool from total soil organic carbon content for use in the Rothamsted carbon model. Soil Biol. Biochem., 1998, 30, 1207–1211.
- Falloon, P. and Smith, P., Simulating SOC changes in long-term experiments with RothC and CENTURY: model evaluation for a regional scale application. Soil Use Manage., 2002, 18(2), 101– 111.
- Zimmermann, M. et al., Measured soil organic matter fractions can be related to pools in the RothC model. Eur. J. Soil Sci., 2006, 58(3), 658–667.
- Guo, L. et al., Application of the RothC model to the results of long-term experiments on typical upland soils in northern China. Soil Use Manage., 2007, 23(1), 63–70.
- Piper, C. S., Soil and Plant Analysis, Hans Publisher, Bombay, 1966.
- Coleman, K. and Jenkinson, D. S., Rothc-26.3. A Model for the Turnover of Carbon in Soil. Model Description and Windows Users’ Guide, Institute of Arable Crops Research, Rothamsted, UK, 2005.
- Jenkinson, D. S., Harris, H. C. and Ryan, J., Organic matter turnover in a calcareous clay soil from Syria under a two-course cereal rotation. Soil Biol. Biochem., 1999, 31(5), 687–693.
- Kaonga, M. L. and Coleman, K., Modelling soil organic carbon turnover in improved fallows in eastern Zambia using the RothC26.3 model. For. Ecol. Manage., 2008, 256, 1160–1166.
- Bhattacharyya, T. et al., Total carbon stock in Indian soils: issues, priorities and management. In Special Publication of the International Seminar on Land Resource Management for Food, Employment and Environment Security, Soil Conservation Society of India, New Delhi, 2000, pp. 1–46.
- Bhattacharyya, T. et al., Landuse, clay mineral type and organic carbon content in two Mollisols–Alfisols–Vertisols catenary sequences of tropical India. Clay Res., 2005, 24, 105–122.
- González-Molina, L., Etchevers-Barra, J. D. and Paz-Pellat, F., Performance of the rothc-26.3 model in short-term experiments in Mexican sites and systems. J. Agric. Sci., 2011, 149(4), 415–425; doi:10.1017/S0021859611000232.
- Barančíková, G. et al., Application of RothC model to predict soil organic carbon stock on agricultural soils of Slovakia. Soil Water Res., 2010, 5(1), 1–9.
- Kirschbaum Miko, U. F., The temperature dependence of soil organic matter decomposition, and the effect of global warming on soil organic C storage. Soil Biol. Biochem., 1995, 27(6), 753–760.
- Conant, R. T. et al., Temperature and soil organic matter decomposition rates – synthesis of current knowledge and a way forward. Global Change Biol., 2011, 17, 3392–3404.
- Smith, J., Smith, P. and Wattenbach, M., Projected changes in mineral soil carbon of European croplands and grasslands, 1990– 2080. Global Change Biol., 2005, 11, 2141–2152.
- Friggens, N. L. et al., Tree planting in organic soils does not result in net carbon sequestration on decadal timescales. Global Change Biol., 2020, 26, 5178–5188; doi:10.1111/gcb.15229.