Prediction Model of Seed Oil Content of Camellia oleifolia Based on Key Meteorological Factors
Oil content is an important economic character of Camellia oleifera.It is of great significance to construct a prediction model of oil content in seed kernel for C.oleifera.In this study,common C.oleifera was selected as the re-search object.By analyzing the relationship between oil content of C.oleifolia and different meteorological factors,the key meteorological factors affecting oil content of C.oleifolia were determined.Then the prediction model of oil content of C.oleifera based on key meteorological factors was constructed by regression analysis method and the effect of predic-tion model was tested by independent data.The results showed that the average temperature in August,the maximum tem-perature in August,the maximum temperature in September and the maximum temperature in the peak period of oil con-version and accumulation were significantly negatively correlated.Three oil content prediction models of C.oleifera were fitted by stepwise regression analysis.After testing with independent data,it was found that the oil content prediction model based on precipitation in September,maximum temperature in September and longest consecutive days without pre-cipitation during the peak period of oil conversion and accumulation had the best effect,and could be applied to the oil content prediction of C.oleifera.
Camellia oleiferakernel oil contentmeteorological factorsstepwise regressionprediction model
万方数据
维普
