International Journal of Science , Engineering and Management (IJSEM)

Monthly Journal for Science , Engineering and Management

Volume2,November 2017,

Topic : Optimization of Irrigation and Fertilizer Scheduling Using Cropwat 8.0 under Fully Automated Drip Irrigation for Hybrid Maize

Authors:Arthi .T || Dr. K.Nagarajan, Dr. R.Lalitha

Abstract:The experiment was to optimize the requirement of irrigation and fertilizer level for hybrid maize during rabi season based on the climatic data. On this basis irrigation scheduling and fertilizer scheduling is programmed in the fully automated drip irrigation system. Irrigation scheduling was done by calculating the crop water requirement using the climatic data of the cropping period. CWR is calculated by using formula and also by CROPWAT 8.0 produced by FAO. The yield effects under optimized fertilizer level in Hybrid Maize NK6240-Syngenta in fully automated drip irrigation condition was analysed. The crop water requirement was calculated for Hybrid Maize NK6240-Syngenta and scheduled based on the climatic data of the cropping period using CROPWAT8.0. The yield was higher in T5 (125 % RDF) and showed a significant difference in the plant growth.Following this T4 (100%) and T3 (75%) showed similar reading almost revealing that fertilizer applied at root zone is effectively used by the plant, in turn, resulting in 20-25% saving of fertilizers. The highest water use efficiency of 65.104 kg per ha per mm was recorded in treatment T5.The highest N, P and K fertilizer use efficiency of 81.37kg ha-1 kg of N, 162.74 kg ha-1 kg of P and 162.74 kg ha-1 kg of K were recorded in T3, which is with 75 percent RDF and the least N, P and K fertilizer use efficiency of 66.68 kg ha-1 kg of N, 133.364 kg ha-1 kg of P and 133.364 kg ha-1 kg of K were recorded in T5 treatment with 125 percent RDF. Leaching effect is reduced in the soil..

Keywords: Iirrigation scheduling, Climatological data , CROPWAT8.0

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DOI: 01.1617/vol4/iss11/pid51948


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Editor-in-Chief

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Dr.Muhammad Ishtiaq,
Mirpur University of
Science & Technology,
Mirpur, Azad Kasmir.

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IMPACT FACTOR: 2.7

ISSN(Online): 2456-1304

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 25%
ARTICLES PUBLISHED:00007
PAPER RECEIVED:000028
Journal Code : IJSEM
Electronic ISSN : 2456-1304
Impact Factor : 2.7
Frequency : Monthly
Contact : editor@ijsem.org

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