Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2019, Vol. 35 ›› Issue (14): 32-35.doi: 10.11924/j.issn.1000-6850.casb18010155

Special Issue: 油料作物 园艺

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Prediction Model of Rapeseed Yield in Alpine Region: Based on Multiple Regression

  

  • Received:2018-01-29 Revised:2019-04-18 Accepted:2018-04-20 Online:2019-05-15 Published:2019-05-15

Abstract: The paper aims to supply method support for accurate predicting of rapeseed yield in the alpine region. By using ground meteorological observation data and the data of rapeseed yield in Guinan Meteorological Bureau from 1991 to 2015, the meteorological factors influencing the rapeseed yield were analyzed. The results showed that: the key factor affecting the rapeseed yield was precipitation of June and July. The prediction model of the rapeseed yield was established by multiple regression analysis method, and good back prediction results were achieved by using the established prediction model.