気象条件による日本の水稲収量構成要素の予測に関する研究 : II.千粒重及び収量と気象条件の関係   :   Studies for Predicting the Amount of Each Yield Component in Paddy Rice by Meteorological Conditions in Japan. II Relations among Thousand-Kernel-Weight, Grain Yield and Meteorological Conditions. 

作成者 劉, 新安, 羽生, 寿郎, 中山, 敬一, 今, 久, 呉, 毅明
作成者 (ヨミ) ナカヤマ, ケイイチ, コン, ヒサシ
作成者の別表記 LIU, Xinan, HANYU, Juro, NAKAYAMA, Keiichi, KON, Hisashi, WU, Yiming
日本十進分類法 (NDC) 620
内容 In the paper, the relations among the thousand-kernel-weight, the gross-grain-yield and the meteorological elements after the heading date were examined by the statistical methods. The routine crop experiment data by Statistics and Information Department of Ministry of Agriculture and Forestry from 1968 to 1982 were used for analyses as same as in the previous paper (Liu et al., 1988). The results obtained in the analyses can be summarized as follows: (1) The fraction of grain yield which fluctuated due to the change in thousand-kernel-weight was estimated by about 50f the total. (2) The increasing rate of thousand-kernel-weight was affected greatly by meteorological conditions for 35 days after the heading date. (3) The increasing rate increased straightly after the heading date and reached to its maximum rate during 13 to 18 days after the heading data. Thereafter, it decreased gradually, and the thousand-kernel-weight ripened by 9527777750420f the final thousand-kernel-weight on around 30th to 35th day after the heading date. (4) The positive correlation was recognized among the increasing rate on 10th day after the heading date and the mean maximum air temperature for 5 days from 5th to 10th day and the mean air temperature and the mean duration of sunshine for 10 days after the heading date.. (5) The correlation coefficient between the relative thousand-kernel-weight and the effective accumulated temperature higher than 10℃ was 0.996, and the accumulated value needed for perfect ripening was 800 to 900 degree-days. (6) Days of ripening period was affected mainly by temperature for first 20 to 30 days after the heading date. (7) Some estimating models for the thousand-kernel-weight were constructed by the multiple regression analysis with backward elimination method. The model constructed by using the meteorological data for a longer period from heading date brought about better estimates than that of for a shorter period. (8) By using the yield components, a model to estimate the grain yield could be const
公開者 千葉大学園芸学部
コンテンツの種類 紀要論文 Departmental Bulletin Paper
DCMI資源タイプ text
ファイル形式 application/pdf
ISSN 0069-3227
NCID AN00142658
掲載誌情報 千葉大学園芸学部学術報告 Vol.42 page.29-38 (19890228)
情報源 The technical bulletin of Faculty of Horticulture, Chiba University
言語 日本語
著者版フラグ publisher

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