Your search found 13 records
1 Sinha, S. K.; Aggarwal, P. K.; Khanna-Chopra, R. 1985. Irrigation in India: A physiological and phenological approach to water management in grain crops. In D. Hillel, Advances in irrigation. Vol. 3 (pp. 130-206). Orlando, FL, USA: Academic Press.
Irrigation management ; Yield forecasting / India
(Location: IWMI-HQ Call no: 631.7 G000 HIL Record No: H01804)

2 Aggarwal, P.K.. 1999. Applications of systems simulation for understanding and increasing yield potential of wheat and rice. The Netherlands: Wageningen University. 175p.: ill.; 25 cm.
Yields ; Simulation
(Location: IWMI-SEA Call no: 633.110954 G570 AGG Record No: BKK-117)

3 Lansigan, F. P.; Penning de Vries, F. W. T.; Hoanh, Chu Thai; Aggarwal, P. K.. 2003. Coping with seasonal climate variability in crop production: Toolbox component for smallholder land and water management. Paper presented at International Conference on Monsoon Environments: Agricultural and Hydrological Impacts of Seasonal Variability and Climate Change, 24-28 March 2003, ICTP, Trieste, Italy. 16p.
Crop production ; Climate ; Forecasting ; Simulation models ; Risks ; Maize ; Rain-fed farming ; Land management ; Water management / Philippines
(Location: IWMI-HQ Call no: IWMI 631 G732 LAN Record No: H033018)
https://vlibrary.iwmi.org/pdf/H_33018.pdf

4 van Ittersum, M.K.; Roetter, R. P.; van Keulen, H.; de Ridder, N.; Hoanh, Chu Thai; Laborte, A. G.; Aggarwal, P. K.; Ismail, A. B.; Tawang, A. 2004. A systems network (SysNet) approach for interactively evaluating strategic land use options at sub-national scale in South and South-East Asia. Journal of Land Use Policy, 21:101-113.
Land use ; Policy ; Evaluation ; Networks ; Natural resources ; Resource management ; Optimization ; Agriculture / India / Malaysia / Philippines / Vietnam / Haryana
(Location: IWMI-HQ Call no: P 6775 Record No: H034279)
https://vlibrary.iwmi.org/pdf/H_34279.pdf

5 Aggarwal, P. K.; Hebbar, K. B.; Venugopalan, M. V.; Rani, S.; Bala, A.; Biswal, A.; Wani, S. P. 2008. Quantification of yield gaps in rain-fed rice, wheat, cotton and mustard in India. Patancheru, Andhra Pradesh, India: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT); Colombo, Sri Lanka: Comprehensive Assessment of Water Management in Agriculture; Pusa, New Delhi, India: Indian Agricultural Research Institute (IARI). 30p. (Global Theme on Agroecosystems Report 43)
Rainfed farming ; Crop yield ; Simulation ; Rice ; Wheat ; Cotton ; Mustard / India
(Location: IWMI HQ Call no: IWMI 631.558 G635 AGG Record No: H041564)
http://www.iwmi.cgiar.org/assessment/files_new/publications/ICRISATReport43.pdf
https://vlibrary.iwmi.org/pdf/H041564.pdf

6 Aggarwal, P. K.. 2009. Determinants of crop growth and yield in a changing climate. In Wani, S. P.; Rockstrom, J.; Oweis, T. (Eds.). Rainfed agriculture: unlocking the potential. Wallingford, UK: CABI; Patancheru, Andhra Pradesh, India: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT); Colombo, Sri Lanka: International Water Management Institute (IWMI) pp.73-80. (Comprehensive Assessment of Water Management in Agriculture Series 7)
Plant growth ; Crop yield ; Pests ; Water availability ; Climate change / South Asia
(Location: IWMI HQ Call no: IWMI 631.586 G000 WAN Record No: H041994)
https://publications.iwmi.org/pdf/H041994.pdf

7 Singh, P.; Aggarwal, P. K.; Bhatia, V. S.; Murty, M. V. R.; Pala, M.; Oweis, T.; Benli, B.; Rao, K. P. C.; Wani, S. P. 2009. Yield gap analysis: modelling of achievable yields at farm level. In Wani, S. P.; Rockstrom, J.; Oweis, T. (Eds.). Rainfed agriculture: unlocking the potential. Wallingford, UK: CABI; Patancheru, Andhra Pradesh, India: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT); Colombo, Sri Lanka: International Water Management Institute (IWMI) pp.81-123. (Comprehensive Assessment of Water Management in Agriculture Series 7)
Yield gap ; Analysis ; Cereals ; Rainfed farming ; Crop yield ; Oilseeds ; Crop production / Asia / Africa / India / Thailand / Vietnam / Syria / South Africa / Morocco / Niger / Kenya / Zimbabwe
(Location: IWMI HQ Call no: IWMI 631.586 G000 WAN Record No: H041995)
https://publications.iwmi.org/pdf/H041995.pdf

8 Palanisami, K.; Paramasivam, P.; Ranganathan, C. R.; Aggarwal, P. K.; Senthilnathan, S. 2009. Quantifying vulnerability and impact of climate change on production of major crops in Tamil Nadu, India. In Taniguchi, M.; Burnett, W. C.; Fukushima, Y.; Haigh, M.; Umezawa, Y. (Eds.). From headwaters to the ocean: hydrological changes and watershed management. London, UK: CRC Press. pp.509-514.
Climate change ; Models ; Regression analysis ; Crop production ; Sugarcane ; Rice ; Groundnuts / India / South India / Tamil Nadu
(Location: IWMI HQ Call no: e-copy only Record No: H042404)
https://vlibrary.iwmi.org/pdf/H042404.pdf
(0.17 MB)
Climate change is essentially a long term phenomenon and is supposed to be gradual in its impact for most part. Integrated assessment combining insights of many disciplines is used as a primary tool in order to follow the causal chain of events from perturbations in the environment to the final outcomes. This can be done by first assessing the vulnerability of different regions to climatic change and then quantifying its impact on agriculture using the long term data. The present paper applies a statistical methodology to rank the coastal districts of Tamil Nadu State, India in terms of vulnerability and to classify them into different levels of vulnerability by constructing composite vulnerability indices. Also the paper presents the impacts of climatic change on productivity and area under three major crops of Tamil Nadu by employing Ricardian model. Existing base level area and yields are obtained by substituting average values of the explanatory variables for each district in the area and yield regressions. Production levels could then be obtained as their product. Similarly, area and yield levels post HADCM3 A2a scenario climate change could be obtained by substituting base line linked climate variables, in respective regressions and assuming other variables at their current long term base levels. Production estimates could be obtained as the product of estimated area and yield levels. Such computations of base level area, yield and production and their 2020 and 2050 counterparts based on climate change were done for individual districts and then summarized for the state. As per Ricardian type regression based projections, climate change impact is projected to be between 4 to 13 percent in terms of reduction in both area and yields of major crops compared to the existing levels. Consequently overall crop production will be decreased up to 22 percent.

9 Palanisamy, K.; Aggarwal, P. K.; Lakshmanan, A. 2009. Impacts of climate change on rice, maize and sorghum productivity in Tamil Nadu. In Aggarwal, P. K. (Ed.). Global climate change and Indian agriculture: case studies from the ICAR network project. New Delhi, India: Indian Council of Agricultural Research. pp.13-18.
Climate change ; Impact assessment ; Cereals ; Rice ; Maize ; Sorghum / India / Tamil Nadu
(Location: IWMI HQ Record No: H042537)
https://vlibrary.iwmi.org/pdf/H042537.pdf
(3.24 MB)

10 Palanisamy, K.; Ranganathan, C. R.; Senthilnathan, S.; Aggarwal, P. K.. 2009. Impact of climate change on crop production in Tamil Nadu using Ricardian approach. In Aggarwal, P. K. (Ed.). Global climate change and Indian agriculture: case studies from the ICAR network project. New Delhi, India: Indian Council of Agricultural Research. pp.19-23.
Climate change ; Impact assessment ; Crop production ; Rice ; Sugarcane ; Groundnuts ; Performance evaluation ; Regression analysis ; Models / India / Tamil Nadu
(Location: IWMI HQ Record No: H042538)
https://vlibrary.iwmi.org/pdf/H042538.pdf
(2.30 MB)

11 Kropff, M. J.; Teng, P. S.; Aggarwal, P. K.; Bouma, J.; Bouman, B. A. M.; Jones, J. W.; Van Laar, H. H. (Eds.) 1997. Applications of systems approaches at the field level: proceedings of the Second International Symposium on Systems Approaches for Agricultural Development, International Rice Research Institute (IRRI), Los Banos, Philippines, 6-8 December 1995. Vol 2. Dordrecht, Netherlands: Kluwer. 465p. (Systems Approaches for Sustainable Agricultural Development 6)
Plant breeding ; Irrigated rice ; Nitrogen fertilizers ; Pests ; Maize ; Simulation models / Africa / Argentina
(Location: IWMI HQ Call no: 630.7 G000 LAN Record No: H044412)
http://vlibrary.iwmi.org/pdf/H044412_TOC.pdf
(0.35 MB)

12 Sehgal, V. K.; Jain, S.; Aggarwal, P. K.; Jha, S. 2011. Deriving crop phenology metrics and their trends using times series NOAA-AVHRR NDVI data. Journal of the Indian Society of Remote Sensing, 39(3):373-381. [doi: https://doi.org/10.1007/s12524-011-0125-z]
Remote sensing ; Time series analysis ; Climate change ; Crop production ; Seasonal cropping ; Phenology ; Vegetation ; Indicators / India / Indo-Gangetic Plains
(Location: IWMI HQ Call no: e-copy only Record No: H044601)
https://vlibrary.iwmi.org/pdf/H044601.pdf
(0.64 MB)
In this study, an attempt has been made to derive the spatial patterns of temporal trends in phenology metrics and productivity of crops grown, at disaggregated level in Indo-Gangetic Plains of India (IGP), which are helpful in understanding the impact of climatic, ecological and socio-economic drivers. The NOAA-AVHRR NDVI PAL dataset from 1981 to 2001 was stacked as per the crop year and subjected to Savitzky-Golay filtering. For crop pixels, maximum and minimum values of normalized difference vegetation index (NDVI), their time of occurrence and total duration of kharif (June-October) and rabi (November–April) crop seasons were derived for each crop year and later subjected to pixel-wise regression with time to derive the rate and direction of change. The maximum NDVI value showed increasing trends across IGP during both kharif and rabi seasons indicating a general increase in productivity of crops. The trends in time of occurrence of peak NDVI during kharif dominated with rice showed that the maximum vegetative growth stage was happening early with time during study period across most of Punjab, North Haryana, Parts of Central and East Uttar Pradesh and some parts of Bihar and West Bengal. Only central parts of Haryana showed a delay in occurrence of maximum vegetative stage with time. During rabi, no significant trends in occurrence of peak NDVI were observed in most of Punjab and Haryana except in South Punjab and North Haryana where early occurrence of peak NDVI with time was observed. Most parts of Central and Eastern Uttar Pradesh, North Bihar and West Bengal showed a delay in occurrence of peak NDVI with time. In general, the rice dominating system was showing an increase in duration with time in Punjab, Haryana, Western Uttar Pradesh, Central Uttar Pradesh and South Bihar whereas in some parts of North Bihar and West Bengal a decrease in the duration with time was also observed. During rabi season, except Punjab, the wheat dominating system was showing a decreasing trend in crop duration with time.

13 Pathak, H.; Byjesh, K.; Chakrabarti, B.; Aggarwal, P. K.. 2011. Potential and cost of carbon sequestration in Indian agriculture: estimates from long-term field experiments. Field Crops Research, 120(1):102-111. [doi: https://doi.org/10.1016/j.fcr.2010.09.006]
Agriculture ; Crop management ; Yields ; Carbon sequestration ; Economic aspects ; Cost benefit analysis ; Soil organic matter ; Nutrient management / India
(Location: IWMI HQ Call no: e-copy only Record No: H044602)
https://vlibrary.iwmi.org/pdf/H044602.pdf
(0.47 MB)
Carbon sequestration in tropical soils has potential for mitigating global warming and increasing agricultural productivity. We analyzed 26 long-term experiments (LTEs) in different agro-climatic zones (ACZs) of India to assess the potential and cost of C sequestration. Data on initial and final soil organic C (SOC) concentration in the recommended N, P and K (NPK); recommended N, P and K plus farmyard manure (NPK + FYM) and unfertilized (control) treatments were used to calculate carbon sequestration potential (CSP) i.e., capacity to sequester atmospheric carbon dioxide (CO2) by increasing SOC stock, under different nutrient management scenarios. In most of the LTEs wheat equivalent yields were higher in the NPK+FYM treatment than the NPK treatment. However, partial factor productivity (PFP) was more with the NPK treatment. Average SOC concentration of the control treatment was 0.54%, which increased to 0.65% in the NPK treatment and 0.82% in the NPK+FYM treatment. Compared to the control treatment the NPK+FYM treatment sequestered 0.33MgC ha-1 yr-1 whereas the NPK treatment sequestered 0.16MgC ha-1 yr-1. The CSP in different nutrient management scenarios ranged from 2.1 to 4.8MgC ha-1 during the study period (average 16.9 yr) of the LTEs. In 17 out of 26 LTEs, the NPK+FYM treatment had higher SOC and also higher net return than that of the NPK treatment. In the remaining 9 LTEs SOC sequestration in the NPK+FYM treatment was accomplished with decreased net return suggesting that these are economically not attractive and farmers have to incur into additional cost to achieve C sequestration. The feasibility of SOC sequestration in terms of availability of FYM and other organic sources has been discussed in the paper.

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