000			04002nam a2200265 i 4500
003			CHED
005			20250207170924.0
007			ta
008			250203e2018 ph ||||| |||| 00| 0 eng d
040			_cCommission on Higher Education
100	1		_aManslao, Johanna B.
245	0	0	_aSimulation of crop management options for USM Var 10 Maize (Zea mays L.) variety _c / Johanna B. Manslao
260	3		_aNueva Ecija, Philippines _b : Central Luzon State University _c,2018.
300			_axv, 96 leaves _c27 x 21cm.
500			_aThesis (Master of Science in Agricultural Engineering) -- Central Luzon State University, June 2018.
520	3		_aThis study was conducted to simulate the crop management options for USM Var 10 maize variety using the Decision Support System for Agrotechnology Transfer (DSSAT)version4.7. Specifically, it aimed to calibrate and validate the DSSATCERES Maize model for USMVar 10 maize variety. A field was selected, prepared and USMVar 10maizewas sown in nine plots. Three sowing dates (SD,-August8,2017, SD,-August 18,2017andSD,-August28, 2017)with a 10-day interval was use and three plots were sown for each sowing date. The second sowing date data set was used for model calibration while the remaining two sowing dates (August 8, 2017andAugust28, 2017) data sets were used for the model validation. Phenological stages and yield were observed, measured and used as datasets for the model calibration and validation. The Crop Genetic Coefficients (CGCs) for USMVar 10 were generated, established and set as default in the simulations. Generated CGCs were P,=262.6, P,=1.535,P,=968.0,G=609.4,G,=15.48andPHINT=38.90. Based from the result of model calibration, computed values of Root Mean Square(RMSE) and normalized Root Mean Square (nRMSE) revealed 1.47and0.026% respectively, which implies that the simulation is highly accurate and acceptable, thus, DSSAT is able to predict with reliable accuracy in response to climate, geographical, soil properties and crop management inputs. Calculations of the nRMSE showed an acceptable value of 7.88% and 0.55% for the two remaining sowing dates which also imply an acceptable simulation outputs. After obtaining good and acceptable values in the simulations as reflected by acceptable value of RMSE and nRMSE, the model was used to simulate different scenarios (sowing dates, fertilizer levels, sowing distance and irrigation scenarios) to formulate crop management options for USM Var 10 maize variety. The results of the simulations have suggested the recommended crop management options for a good yield of the USM Var 10 maize variety. For the rainfed scenario, the recommended crop ent was for the crop sown on August 8, 2017 with a simulated yield of 7,619 kg/ha, applied with 200 kg/ha of Urea as side dressing on its 25" DAS and sown with a distance of70 cm x 25 cm, respectively. On the other hand, for the rainfed and irrigation at 50% available water scenario, the recommended crop management option was for the crop sown as early as June 9, 2017 with a simulated yield of 9,708 kg/ha. This can be reliably achieved if200 kg/ha of Urea is applied as side dress on the 25" DAS and sown with a distance of70cm x 25 cm. Irrigation water requirement for the whole growth duration of these scenario was 173.32 mm applied in several occasion. The scenario would only be recommended for sowing in area of North Cotabato on sites with access to either surface irrigation of shallow tube well.
650	1	0	_aMaize _xVarieties
650	2	0	_aMaize _xSimulation methods
650	2	0	_aCrop management
650	2	0	_aAgricultural simulation
650	2	0	_aZea mays L.
856	4	0	_uhttp://181.215.242.151/cgi-bin/koha/opac-retrieve-file.pl?id=a8f485f8d33bfcf95260c59d7d14cdab _zAbstract
856	4	0	_uhttp://181.215.242.151/cgi-bin/koha/opac-retrieve-file.pl?id=453f87df1607e2ed072d7c480fb0e26e _yTable of Contents
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