Assessment of climate change impacts on sweet corn (Zea mays L.) production in the province of Laguna, Philippines using DSSAT Ceres-Maize model / (Record no. 7199)

MARC details
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fixed length control field 03490nam a22002537a 4500
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control field CHED
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240425163248.0
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fixed length control field 230823b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency CHED
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Cataytay, Joie Durban.
245 ## - TITLE STATEMENT
Title Assessment of climate change impacts on sweet corn (Zea mays L.) production in the province of Laguna, Philippines using DSSAT Ceres-Maize model /
Statement of responsibility, etc. Joie Durban Cataytay.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Los Baños :
Name of publisher, distributor, etc. University of the Philippines,
Date of publication, distribution, etc. 2019.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 139 leaves :
Other physical details color illustrations ;
Dimensions 28 cm.
500 ## - GENERAL NOTE
General note Dissertation (Doctor of Philosophy (Agricultural Engineering)) -- University of the Philippines Los Baños, December 2019.
501 ## - WITH NOTE
With note CHED Funded Research.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note INTRODUCTION -- REVIEW OF LITERATURE -- MATERIALS AND METHOD S-- RESULTS AND DISCUSSION -- SUMMARY AND CONCLUSION -- RECOMMENDATIONS -- LITERATURE CITED -- APPENDICES.
520 ## - SUMMARY, ETC.
Summary, etc. The 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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Corn
General subdivision Effect of climate on
Geographic subdivision Philippines
-- Laguna.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Climatic changes
General subdivision Environmental aspects.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Agricultural modeling.
856 ## - ELECTRONIC LOCATION AND ACCESS
Public note Abstract
Uniform Resource Identifier <a href="http://62.72.45.86/cgi-bin/koha/opac-retrieve-file.pl?id=cbc6e38bbf85df22cc580c92ac1ab4f4">http://62.72.45.86/cgi-bin/koha/opac-retrieve-file.pl?id=cbc6e38bbf85df22cc580c92ac1ab4f4</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Public note Table of contents
Uniform Resource Identifier <a href="http://62.72.45.86/cgi-bin/koha/opac-retrieve-file.pl?id=45b12621369984575abd45be97724172">http://62.72.45.86/cgi-bin/koha/opac-retrieve-file.pl?id=45b12621369984575abd45be97724172</a>
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Source of classification or shelving scheme Library of Congress Classification
Koha item type CHED Funded Research
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Use restrictions Not for loan Collection Home library Current library Date acquired Source of acquisition Inventory number Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification   Restricted Access Storage Area Thesis and Dissertation Commission on Higher Education Commission on Higher Education 08/30/2023 CMO#33S CHEDFR-000255   LG 996 2019 C6 C38 CHEDFR-000255 08/30/2023 08/30/2023 CHED Funded Research
    Library of Congress Classification   Room Use Only   Digital Thesis and Dissertation Commission on Higher Education Commission on Higher Education 08/30/2023 CMO#33S DCHEDFR-000004   LG 996 2019 C6 C38 DCHEDFR-000004 08/30/2023 08/30/2023 Digital Thesis and Dissertations
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