摘要
温度、降雨、光照和土壤等生态因子影响冬小麦籽粒蛋白质含量,确定这些因子是否有重要影响及影响程度对于小麦种植区划具有重要意义。该文利用北京地区具有代表性的小麦种植点的气象数据和土壤养分数据,通过神经网络方法来评估温度、降雨、光照和土壤等因子对蛋白质含量影响的相对重要程度。研究表明,影响北京地区蛋白质含量的主要因素依次有:6月6日至6月10日的光照时间、气温大于32℃的天数、土壤碱解氮含量、5月上旬至6月上旬的平均气温、5月26日至5月30日的平均气温、5月下旬至6月上旬≥0℃的积温、6月1日至6月5日的平均气温、5月下旬至6月上旬的温差、5月下旬至6月上旬的降雨量和土壤有机质含量;并针对部分关键因子利用神经网络模型制作了响应曲线以反映蛋白质含量随生态因子的变化趋势。
Temperature,rainfall,illumination time and soil nutrients are major ecological factors to influence protein content forming of winter wheat.This study focused on the evaluation of the relative weighting of those factors on winter wheat grain quality（protein） based on the wheat planting,soil and weather data in Beijing,China.artificial neural network（ANN） analysis is employed in this study.The result indicated that the 10 factors have significant impact on the formation of wheat protein.The most important factor is illumination time from 6th June to 10th June,followered by the number of days which the temperature above 32℃,available nitrogen content of soil,average temperature from 1st May to 10th June,average temperature from 26 May to 30 May,accumulated temperature from 20th May to 10th June,average temperature from 1st June to 5th June,range of temperature from 20th May to 10th June,rainfall from 20th May to 10th June,and organic matter in soil respectively.Then,the response curves for key factors are generated by the ANN models in order to reflect the wheat protein variant trend according to the different ecological factors.The results of this study can probably be used for provided the reference basis for the winter wheat quality regionalization of Beijing area
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2010年第7期220-226,共7页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金(40701120)
农业部公益行业科研专项(200803037)
北京市自然科学基金(4092016)
关键词
神经网络
品质控制
粮食
影响因子
neural networks
quality control
grain
influence factor
