Options for calibrating CERES-maize genotype specific parameters under data-scarce environments
نویسندگان
چکیده
منابع مشابه
Simulating Inbred-Maize Yields with CERES-IM
Detasseling is the operation that consists of removing the tassels of the female plants prior to silk emergence CERES-Maize, which was designed for simulation of hybrid maize and pollen shed to prevent self-pollination. During this (Zea mays L.), cannot be applied directly to seed-producing inbred maize because of specific field operations and physiological traits of operation, several leaves a...
متن کاملSizing Strategies in Scarce Environments
Competition is fierce and often the first to act has an advantage, especially in environments where there are excess resources. However, expanding quickly to absorb excess resources creates requirements that might be unmet in future conditions of scarcity. Different patterns of scarcity call for different strategies. We define a model of interacting specialists (entities) to analyze which sizin...
متن کاملEvaluation of the CERES-Maize water and nitrogen balances under tile-drained conditions$
The CERES-Maize model was developed to investigate how variations in environmental conditions, management decisions, and genetics interact to aect crop development and growth. A tile drainage subroutine was incorporated into CERES-Maize to improve soil-water and nitrogen leaching under subsurface tile drainage conditions. The purpose of this work was to evaluate the soil-water, soil-nitrogen, ...
متن کاملواسنجی و ارزیابی مدل CERES-Maize در شرایط اقلیمی گرگان
تاریخ کاشت و آبیاری دو عامل عمده محدودکننده تولید ذرت دانهای هستند که با استفاده از مدل CERES-Maize می-توان آنها را شبیهسازی نمود. به همین منظور دو آزمایش مزرعهای (هرکدام در دو سال) در ایستگاه تحقیقات کشاورزی گرگان انجام شد. با استفاده از تیمارهای آبیاری مطلوب و بدون تنش در سال 2012 (سه تیمار) و دو تیمار از آزمایش دوم در سال 2007، مدل واسنجی شد. ارزیابی مدل با استفاده از تیمارهای تاریخ کاشت ...
متن کاملCalibrating Parameters of Cost Functionals
We propose a new framework for calibrating parameters of energy functionals, as used in image analysis. The method learns parameters from a family of correct examples, and given a probabilistic construct for generating wrong examples from correct ones. We introduce a measure of frustration to penalize cases in which wrong responses are preferred to correct ones, and we design a stochastic gradi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2019
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0200118