|Table of Contents|

Prediction Model of Soybean Yield for Brazil(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2010年03期
Page:
420-423
Research Field:
Publishing date:

Info

Title:
Prediction Model of Soybean Yield for Brazil
Author(s):
ZHENG Chang-ling ; WANG Jian-lin;  SONG Ying-bo;  ZHUANG Li-wei
National Meteorological Centre, China Meteorological Administration, Beijing 100081, China
Keywords:
Brazil; Soybean; Yield Prediction
PACS:
S565.1
DOI:
10.11861/j.issn.1000-9841.2010.03.0420
Abstract:
Based on the data of per unit soybean yield from 1961to 2007, the main factors of monthly average temperature of the West Pacific Ocean surface and the 500 hpa height circulation data of the Northern Hemisphere and the daily average temperature of the representative weather stations in the soybean-planted area of Brazil, three predicting models that predict soybean yield per unit before harvest for Brazil are built. Then the integrative predicting model is built based on the result of each model by a weighted method. The results of historical predicting examination from 1996 to 2005 and test from 2006 to 2007 indicate that the accuracy of the integrative model is over 90% and could meet the needs of operational service.

References:

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Last Update: 2014-09-13