摘要
在黑龙江省18个地区选择熟期适宜的18份大豆品种为材料,结合当地8个主要环境因素数据,利用偏最小二乘多元回归方法对影响大豆品质的环境因素进行了分析。结果表明:蛋白质含量与经度、纬度、海拔、年平均气温、无霜期负相关,与年日照时数、降水量正相关。油分含量与经度、纬度、海拔、年平均气温、无霜期正相关,与年日照时数、降水量负相关。经度、纬度、海拔、年平均气温、无霜期等环境指标的提高对蛋白质含量形成和提高不利,却对油分含量的形成和提高有利;年日照时数、积温、降水量等环境指标的提高对蛋白质含量形成和提高有利,却不利于油分含量的形成和提高。这样的结论表明同一环境因素对蛋白质和油分形成可能具有互逆作用。
Eighteen suitable maturity soybean cuhivars from 18 major regions in Heilongjiang Province were select- ed as testing materials, and combined with the eight local environmental data, the environmental factors related with quality were analyzed by partial least squares multiple regression analysis. The results showed that protein content was negatively correlated with longitude, latitude, altitude, average annual temperature and frost-free period. Protein content was positively correlated with annual sunshine hours and precipitation. Oil content was positively correlated with longitude, latitude, altitude, average annual temperature, frost-free period, and negatively correlated with annual sunshine hours, precipitation. Longitude, latitude, altitude, average annual temperature, frost-free period and other environmental factors were negative to the formation of protein, but positive to that of oil. On the other way, sunshine hours, accumulated temperature, precipitation and other environmental factors were positive to the formation of oil, but negative to the formation of protein. This conclusion implied that the same environmental factors may have a re- ciprocal effect to formation of protein and oil in soybean.
出处
《作物杂志》
CAS
CSCD
北大核心
2013年第2期37-41,共5页
Crops
基金
公益性行业(农业)科研专项经费(200903003)
大豆产业技术体系(CARS-004-02A)
关键词
大豆
蛋白质含量
油分含量
环境
因素
偏最小二乘回归
Soybean
Protein content
Oil content
Environmental factor
Partial Least Squares Regression