A simple DSS for potato crop scheduling in Nilgiri hills of Western Ghats
Downloads
Published
Keywords:
Decision support system, Infocrop-potato model, planting date, potential yield.Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
A decision support tool has been developed for providing information on the optimum time of planting and the likely consequences of early or late planting of potato in about 173 locations of Nilgiris region of Tamil Nadu state in India. This DSS was developed for the most popular variety of the region i.e., Kufri Jyoti, and the choice to select right time of harvest is also incorporated in this DSS by simulating the yields at 100 and 120 days. The tool consists of a database of simulated yield at 100 and 120 days after planting derived through InfoCrop-potato model. This DSS is developed with the database generated using the daily weather data developed through weather generators and the potential yields estimated with the help of InfoCrop-Potato model. These data were generated by running the model under rainfed conditions for five dates of planting using the weather data for each location generated through weather generators. A user interface was developed in Visual Basic to access this database. The DSS developed for the purpose of potato crop scheduling is of great significance, which enables the farmers as well as extension functionaries for taking right decisions on timing the planting and harvesting of potato crop on which the major fraction of Nilgiri's economy depends. The simulated results when compared with the actual data and a good degree of correlation was observed between two.Abstract
How to Cite
Downloads
Govindakrishnan, P.M., Singh, J.P., Lal, S.S. and Panigrahy, S. 2007. A methodology for preharvest predictionof mean potato yield at regional scale using INFOCROP-POTATO model. Potato J. 34: 125-26. Loague, K. and Green, R.E. 1991. Statistical and graphical methods for evaluating solute transport models. Over view and application. J. Contam. Hydrol. 7: 51-73. Magarey, R.D., Travis, J.W., Russo, J.M., Seem, R.C. and Magarey, P.A. 2002. Decision support systems: Quenching the thirst. Pl. Dis. : 1-14. Mayer, D.G. and Butler, D.G. 1993. Statistical validation. Ecol. Modlg. 68: 21-32. Nelson, L.A. 1991. Choosing corn hybrids. NebGuide G79-471, Cooperative Extension Service, Institute of Agriculture and Natural Resources, University of Nebraska, NebraskaLincoln, Lincoln NE. Shashi Rawat, Govindakrishnan, P.M. and Chauhan, R.K. 2012. Climate based delineation of areas suited for production of ware and processing potato in India. Potato J. 39: 75-80. Singh, J.P., Govindakrishnan, P.M., Lal, S.S. and Aggarwal, P.K. 2005. Increasing the efficiency of Agronomy experiments in potato using INFOCROP-POTATO model. Potato Res. 48: -52. Singh, J.P., Govindakrishnan, P.M., Lal, S.S. and Aggarwal, P.K. 2008. INFOCROP-POTATO A model for simulating growth and yield of potato in the Sub-Tropics. CPRI, Shimla, Technical Bulletin, 2008, 30 p. Singh, J.P., Govindakrishnan, P.M., Lal, S.S. and Aggarwal, P.K. 2005. Infocrop-potato: a simulation model for growth and yield in tropics and Subtropics. SWCACIP, New Delhi, Newslett. : 1-2. Singh, J.P., Praharaj, C.S., Lal, S.S., Govindakrishnan, P.M. and Aggarwal, P.K. Parameterization and validation of the INFOCROP-POTATO model. J. Indian Potato Assoc. 30: 57-58. Thomas, R.S. and No'am, Seligman. 2000. Criteria for publishing papers on crop modelling. Field Crop Res. 68: 165-72.
References
Similar Articles
- Lokendra Kumar, A.K. Choudhary, B.P. Bhatt, K.P. Singh, Genetic divergence in makhana (Euryale ferox Salisb.) , Indian Journal of Horticulture: Vol. 72 No. 03 (2015): Indian Journal of Horticulture
- Anil Kumar, Shashi Pathania, P.K. Arora, Rootstock evaluation for sweet orange cv. Early Gold in arid irrigated region of Punjab , Indian Journal of Horticulture: Vol. 75 No. 01 (2018): Indian Journal of Horticulture
- Angrej Singh, Arun Kaushal, Sunil Garg, Neena Chawla, Effect of different coloured plastic mulches on growth, yield and quality of drip fertigated bell pepper (Capsicum annum var. grossum) , Indian Journal of Horticulture: Vol. 74 No. 02 (2017): Indian Journal of Horticulture
- A.K. Singh, Sanjay Singh, V.V. Appa Rao, B.G. Bagle, T.A. More, Efficacy of organic mulches on soil properties, earthworm population, growth and yield of aonla cv. NA7 in semi- arid ecosystem , Indian Journal of Horticulture: Vol. 67 No. Special Issue (2010): Indian Journal of Horticulture
- P.K. Singh, D.R. Singh, Effect of spacing and levels of nitrogen on growth and yield of garlic , Indian Journal of Horticulture: Vol. 67 No. Special Issue (2010): Indian Journal of Horticulture
- Devi Darshan, Karan Bir Singh Gill, Mandeep Singh Gill, Nirmaljit Kaur, Plant bioregulators induced manipulation in the yield attributes of mango cv. Langra , Indian Journal of Horticulture: Vol. 81 No. 01 (2024): Indian Journal of Horticulture
- Darpreet Kour, Arti Sharma, V.K. Wali, Ambika Bhandari, Effect of regulated irrigation and calcium sprays on fruit yield and quality of Dehradun litchi , Indian Journal of Horticulture: Vol. 77 No. 01 (2020): Indian Journal of Horticulture
- Pradeep Kumar, P.R Meghwal, D.K Painuli, Effect of organic and inorganic nutrient sources on soil health and quality of carrot , Indian Journal of Horticulture: Vol. 71 No. 02 (2014): Indian Journal of Horticulture
- Thangasamy A., K.E. Lawande, Integrated nutrient management for sustainable onion production , Indian Journal of Horticulture: Vol. 72 No. 03 (2015): Indian Journal of Horticulture
- N.A. Deshmukh, H. Rymbai, A.K. Jha, P. Lyngdoh, S.K. Malhotra, Effect of thinning time and fruit spacing on fruit maturity, yield, size, peel colour and quality attributes of peach cv. Flordasun , Indian Journal of Horticulture: Vol. 74 No. 01 (2017): Indian Journal of Horticulture
<< < 43 44 45 46 47 48 49 50 51 52 > >>
You may also start an advanced similarity search for this article.
