基于基因表达式编程技术的牧草种子产量形成模拟与实证

项目名称： 基于基因表达式编程技术的牧草种子产量形成模拟与实证

项目编号： No.31472138

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 林学

项目作者： 王佺珍

作者单位： 西北农林科技大学

项目金额： 84万元

中文摘要： 针对我国牧草种子供不应求产量低下的现状，提出牧草种子产量光温调控假说。开拓新的演绎思维，有效利用基因表达式编程技术，按照其生长发育规律建立禾本科牧草种子形成及生产的高精度动态模型。从分析6种禾本科牧草营养生长和生殖生长转换对牧草种子形成的调控机制,探讨各因素间的交互作用及其对种子产量因子和产量的动态影响，分析研究其耦合的协同效应、拮抗效应、叠加效应和边际效应等的动态模型调控机制。以生物数学和统计学模型揭示各地点环境因素间的对其种子产量形成和质量的综合作用机制，解释牧草植物对环境条件影响的营养到生殖转换和种子形成机理，验证本项目提出的假说。系统综合地探明在不同光温地区和不同的管理措施下，从牧草种子形成的数字模型出发，求解科学化专业化禾本科牧草种子生产管理技术关系原理。为生产上大幅度提高牧草种子产量提供指导实践的基础理论。对全球生态环境建设、国家经济和社会生态可持续发展具有非常重要的战略意义。

中文关键词： 基因表达式编程；牧草种子；种子产量形成；模拟；实证

英文摘要： The hypothesis was suggested that 'Light and temperature regulate forage seed yield' aimed at low forage seed yield in production and that demand highly exceeds supply in China. Developing new deduction thinking, significantly using Gene Expression Programming technique, dynamic models will be established for investigating the coupling effects of water and fertilizer on seed yield forming in 6 species grasses according to their growth development; and the switch mechanism between green growth and reproduction growth effects on the seed yield form will be also construed. Investigating kinetic influence on the seed yields and the yields components and their interactions will be studied via the coupling models of cooperation, resistance, folding effects and marginal utility. Special theory in grass seed production managements are systematically and synthetically estimating on algorithmic models under various locations and field conditions. It will domonstrate the hypothesis in order to theoretically progress the seed yields in production, the seed forming theory will be biomathematically and statistically developed based on the related algorithmic models. It will effectively contrabute to the global ecological environmental construction, national economic and social sustainable development.

英文关键词： Gene Expression Programming;Forage seed;Forming of seed yield;Modeling;Demostration