APPLICATION OF ICT TO IMPROVE WATER USE EFFICIENCY.
| dc.contributor.advisor | KALE, Dr. M. U | |
| dc.contributor.author | KADAM, Ms. ANKITA UDDHAVRAO | |
| dc.date.accessioned | 2018-07-20T10:18:28Z | |
| dc.date.available | 2018-07-20T10:18:28Z | |
| dc.date.issued | 2017-09-06 | |
| dc.description | AquaCrop is a crop water productivity model developed by the Land and Water Division of FAO. Modelling tools that support management decisions with regard to efficient water use in crop production are essential. AquaCrop is a new decision support tool useful in modelling and devising strategies for efficient management of crop-water productivity at farm level. Drip irrigation saves water up to 27 to 42 per cent. Mulching is one of the water management practices for increasing water use efficiency. Momordica charantia, known as bitter gourd, bitter melon, bitter squash or balsam-pear, family Cucurbitaceae Simulation models quantifying the effects of water on yield at the farm level can be valuable tools in water and irrigation management. Growing population coupled with sustainable developmental efforts has an increasing stress on water resources and food production. | en_US |
| dc.description.abstract | The present study entitled “Application of ICT to improve water use efficiency” was conducted during 28th November 2016 to 23rd March 2017 at research farm of Department of Irrigation and Drainage Engineering, Dr. PDKV, Akola in rabi season. AquaCrop model was calibrated and validated for bitter gourd crop using canopy cover data for the year 2014-15 and 2015-16, respectively. The harvest index was observed as 65% while water productivity as 17 gm-2 for bitter gourd. The AquaCrop model was tested for 2016-17. The maximum yield and water use efficiency was simulated for irrigation schedule S0 (mulch + Irrigation schedule at 80 % ETc). These results were verified from field experiment during rabbi 2016-17. In field experiment, the soil temperature under black mulch was observed to be highest followed by that under silver mulch and treatment without mulch in all cases of irrigation scheduling and at all times. Insect population was seen highest in non-mulch treatment followed by black mulch treatments while least was seen in silver mulch treatments. Highest yield, maximum water use efficiency and B:C ratio was obtained in treatment with 80% ETc under black polyethylene mulch. | en_US |
| dc.identifier.citation | KADAM, Ms. ANKITA UDDHAVRAO. (2017). Application of ICT to improve water use efficiency. Department of Irrigation and Drainage Engineering, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola. M. Tech. 2017. xiii, 124p. (Unpublished). | en_US |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/5810061270 | |
| dc.keywords | Crop, Vegetable Corp, Bitter Gourd, Agricultural Engineering, Equipment, Irrigation equipment, Drip irrigation, Social science, Agriculture economics, Cost benefit analysis, Soil science, Microbiology, Soil, Mulches, Polyethylene mulch, Statistics and experimentation, Statistical design, Experimental design, Randomized block design, AquaCrop, water use efficiency, | en_US |
| dc.language.iso | en | en_US |
| dc.pages | xiii, 124p. | en_US |
| dc.publisher | Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra. | en_US |
| dc.research.problem | In the present study was carried out to calibrate and validate AquaCrop model for bitter gourd production and to verify the field results with that of validated model. Efforts were also made to study water requirement and response of bitter gourd crop under different irrigation levels and polyethylene mulch treatments. The cost analysis was also carried out. | en_US |
| dc.sub | Agricultural Engineering | en_US |
| dc.subject | null | en_US |
| dc.theme | The present study deals with the testing potential of AquaCrop model in predicting yield of bitter gourd in response to water for western Vidarbha region. | en_US |
| dc.these.type | M.Tech | en_US |
| dc.title | APPLICATION OF ICT TO IMPROVE WATER USE EFFICIENCY. | en_US |
| dc.type | Thesis | en_US |