000			03490nam a22002537a 4500
003			CHED
005			20240425163248.0
008			230823b |||||||| |||| 00| 0 eng d
040			_cCHED
100			_aCataytay, Joie Durban.
245			_aAssessment of climate change impacts on sweet corn (Zea mays L.) production in the province of Laguna, Philippines using DSSAT Ceres-Maize model / _cJoie Durban Cataytay.
260			_aLos Baños : _bUniversity of the Philippines, _c2019.
300			_axiv, 139 leaves : _bcolor illustrations ; _c28 cm.
500			_aDissertation (Doctor of Philosophy (Agricultural Engineering)) -- University of the Philippines Los Baños, December 2019.
501			_aCHED Funded Research.
505			_aINTRODUCTION -- REVIEW OF LITERATURE -- MATERIALS AND METHOD S-- RESULTS AND DISCUSSION -- SUMMARY AND CONCLUSION -- RECOMMENDATIONS -- LITERATURE CITED -- APPENDICES.
520			_aThe study aimed to evaluate the climate change impacts on sweet corn production using the DSSAT CERES-Maize model. Field experiments were conducted to serve as the basis for calibrating and validating the model. The effect of irrigating near and above field capacity (PC) on sweet corn production was determined through field experiments laid in a randomized complete block design (RCBD) with four treatments replicated three times. Results showed that maximum crop yield can be obtained under the irrigation treatment with allowable depletion of 20% PC during the wet season and under irrigation up to saturation during the dry season at 1 1 tons/ha and 13 tons/ha, respectively. The model performed well during calibration and validation with R^2 of 0.78 to 0.99, RMSE of 348.2 kg/ha to 1,023.8 kg/ha, 515 to 1,140 kg/ha and 0.27 to 0.39 for yield, biomass and leaf area index (LAI), respectively. Computed d-stat ranged from 0.94 to 0.99, RMSEn of 6.79 % to 15.61%, and NSE of 0.75 to 0.95. Model simulations were performed to predict the impact of climate change on sweet corn production based on Climate Information Risk Analysis Matrix (CLIRAM) tool for climate change projections. Results showed that sweet corn production is viable for future climate change scenarios under rainfed conditions with proper timing of planting date. The optimum planting window under rainfed condition is within the third week of January and the second week of May for the dry and wet season, respectively. Recommended planting dates for irrigated growing are on January 1 1, March 28, June 27 and October 26 for optimum yield. Also, the provision of drip irrigation proved to be economically feasible with a benefit-cost ratio of 4.37 to 5.09. Net economic benefits for irrigated production are higher by about 69% to 79% in RCP 4.5 and 59% to 69% in RCP 8.5 scenarios compared to rainfed. Irrigated corn production can generate an additional profit of more than 59% relative to rainfed production. The results of this study can be used as the basis for maximizing the potential benefits of corn production in the province of Laguna in view of climate change.
650			_aCorn _xEffect of climate on _zPhilippines _zLaguna.
650			_aClimatic changes _xEnvironmental aspects.
650			_aAgricultural modeling.
856			_zAbstract _uhttp://62.72.45.86/cgi-bin/koha/opac-retrieve-file.pl?id=cbc6e38bbf85df22cc580c92ac1ab4f4
856			_zTable of contents _uhttp://62.72.45.86/cgi-bin/koha/opac-retrieve-file.pl?id=45b12621369984575abd45be97724172
942			_2lcc _cCHEDFR _n0
999			_c7199 _d7199