{"title":"Potential Yield and Climate Change Sensitivity of Groundnut in Cagayan Valley Using Simulation Models","authors":"Oscar L. Barboza, O. Balderama, Lanie Alejandro","doi":"10.7718/IAMURE.IJE.V9I1.758","DOIUrl":null,"url":null,"abstract":"This study aimed to determine yield and production constraints of peanut inCagayan Valley using Decision Support System for Agrotechnology Transfer; analyze yieldgaps between simulated and actual yield, and provide decision support to optimizeproduction. Simulation results using CSM-CROPGRO sub-model of DSSAT showed thathighest potential yield is 2,267 kgs. / Hectare when planted in October 15 under rainfedcondition. Under non-stressed conditions in the dry season, the potential yield is 4,805 kgs./hectare planted in December 15. From 10 years of yield data, gap between farmer’s yieldcompared with rainfed potential ranges from 153 to 2,116 kgs./ hectare. Low rates ofnitrogen application and pests and diseases were the factors causing yield gaps. The DSSATprogram also captured the effect of prolonged drought in the last quarter of 2009 whichresulted to underestimated yield, and the effect of warm weather in 2004 which showedlowering of potential yield by 50%. Regional analysis of peanut yields showed that centraleastern part is more productive for rainfed conditions during the dry season; whereassouthern part including Quirino and Ifugao is more suitable to producing peanut during thewet season due to cooler temperature. Keywords: Agriculture, groundnut, potential and actual yield, simulation, climate change,Decision Support System for Agrotechnology Transfer, Philippines","PeriodicalId":416137,"journal":{"name":"IAMURE: International Journal of Education","volume":"463 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IAMURE: International Journal of Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7718/IAMURE.IJE.V9I1.758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study aimed to determine yield and production constraints of peanut inCagayan Valley using Decision Support System for Agrotechnology Transfer; analyze yieldgaps between simulated and actual yield, and provide decision support to optimizeproduction. Simulation results using CSM-CROPGRO sub-model of DSSAT showed thathighest potential yield is 2,267 kgs. / Hectare when planted in October 15 under rainfedcondition. Under non-stressed conditions in the dry season, the potential yield is 4,805 kgs./hectare planted in December 15. From 10 years of yield data, gap between farmer’s yieldcompared with rainfed potential ranges from 153 to 2,116 kgs./ hectare. Low rates ofnitrogen application and pests and diseases were the factors causing yield gaps. The DSSATprogram also captured the effect of prolonged drought in the last quarter of 2009 whichresulted to underestimated yield, and the effect of warm weather in 2004 which showedlowering of potential yield by 50%. Regional analysis of peanut yields showed that centraleastern part is more productive for rainfed conditions during the dry season; whereassouthern part including Quirino and Ifugao is more suitable to producing peanut during thewet season due to cooler temperature. Keywords: Agriculture, groundnut, potential and actual yield, simulation, climate change,Decision Support System for Agrotechnology Transfer, Philippines
本研究旨在利用农业技术转移决策支持系统确定加加延山谷花生产量和生产约束条件;分析模拟产量与实际产量之间的差距,并为优化生产提供决策支持。利用DSSAT的CSM-CROPGRO子模型模拟结果表明,在雨养条件下,10月15日种植的最高潜在产量为2267 kg /公顷。在旱季无胁迫条件下,12月15日种植的潜在产量为4805公斤/公顷。从10年的产量数据来看,农民的产量与雨养潜力之间的差距在153至2116公斤/公顷之间。氮肥施用量低和病虫害是造成产量缺口的主要因素。dssat项目还捕捉到了2009年最后一个季度持续干旱的影响,这导致了产量被低估,2004年温暖天气的影响显示潜在产量降低了50%。花生产量区域分析表明,旱季中东部地区在旱季雨养条件下产量较高;其中南部包括基里诺和伊富高,由于温度较低,更适合在雨季生产花生。关键词:农业,花生,潜在和实际产量,模拟,气候变化,农业技术转移决策支持系统,菲律宾