{"product_id":"cms-ceres-maize-model-dssat-v-4-0-von-tej-narayan-bhusal","title":"CMS-CERES-Maize model (DSSAT v 4.0)","description":"\u003cp\u003eIn recent years, the use of crop model has been  increasing exponentially for agro-climatic and site  specific resource management to increase the grain  yield. Among them, the CMS-CERES-Maize model is one,  but, very little academic literature exists on how  to best utilize the resource using simulation model  to optimize the yield in reference to developing  countries like Nepal. Best fit (calibration and  validation)of model  using the available datasets is  prerequisites for its application. Site specific  management of resources like nitrogen (dose, time  and method), water (amount and time), etc. have  increased the yield of maize minimizing their losses  in field.Likewise, climate of the year, sowing dates, initial moisture content of the field,etc. also  significantly affect on the yield performance. From  the findings of this study, we concluded that the  change in magnitude of climatic parameters creates  stress on the limited resource management to  increase the grain yield. Further,  The analysis  should help shed some light on this new and exciting  field and should be especially useful to  professionals and anyone else involve in agriculture.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783844302721\"\u003e\u003ch3\u003eCalibration, Validation and Simulation of maize growth and yield\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783844302721","offer_id":39470062764125,"sku":"9783844302721","price":59.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/85973ca8-aba9-4abe-bcc1-bd38db1cd08a.jpg?v=1775194917","url":"https:\/\/shop.autorenwelt.de\/products\/cms-ceres-maize-model-dssat-v-4-0-von-tej-narayan-bhusal","provider":"Autorenwelt Shop","version":"1.0","type":"link"}