Japanese Journal of Farm Work Research
Online ISSN : 1883-2261
Print ISSN : 0389-1763
ISSN-L : 0389-1763
Research Paper
Long-term Evaluation of Rice Yield Prediction Using Previously Past-obtained Soil Nitrogen Mineralization Parameters
Xiaolan LINTomoya YOKOYAMANorihide FURUYAMAKan MIYAMOTOTakuya MORIHisao KURODA
Author information
JOURNAL FREE ACCESS

2024 Volume 59 Issue 3 Pages 127-135

Details
Abstract

This study assessed the usefulness of a rice yield prediction model using fixed soil nitrogen mineralization parameters as input variables. When the soil nitrogen mineralization parameters obtained 2016 in the paddy field, yield predictions of cv. Koshihikari in same paddy field applied rice straw and fast-acting fertilizer every year were evaluated from 2017 to 2020. Four levels of primary fertilizer and four levels of supplemental fertilizer were applied, the actual and predicted yields were compared. Results revealed that the yield prediction error averaged at 53 kg 10a-1 for RMSE and 9.1% for MAPE. These findings indicate that previously obtained mineralization parameters are useful for yield prediction over 5 years.

Content from these authors
© 2024 Japanese Society of Farm Work Research
Next article
feedback
Top