Application of a regression tree to analysis of rice yield and quality determinants

研究成果: ジャーナルへの寄稿記事

1 引用 (Scopus)

抄録

In recent years, it is becoming important to collect and utilize different data on rice production to achieve a high yield and high quality, and to transfer the skill to the next generation. The objective of this study was to investigate the validity of a regression tree for analysis of yield and quality determinants. Determinants of grain yield (yield), 1000-grain weight, and protein content of brown rice (protein) were analyzed by focusing on explanatory variables for the meteorological environment and conditions of rice growth and nutrition after the heading period. The spikelet number/m2 was identified as a yield determinant by a regression tree and multiple regression analysis. However, the predictive accuracy was higher in multiple regression analysis due to a strong linear correlation between yield and spikelet number/m2. For the analysis of the 1000-grain weight with nonlinear data structure, no reasonable determinant was identified in multiple regression analysis, while a regression tree implied the 1000-grain weight determinant by clarifying its relationship with SPAD readings about 20-d after heading (SPAD20). The SPAD20 was also identified as a protein determinant. Furthermore, it was indicated for data under the condition with high SPAD readings that protein was lowered by the high temperature during 5 to 30 days period after heading. A regression tree can clarify the relationship among parts of data by splitting data hierarchically, but multiple regression analysis can not.

元の言語英語
ページ(範囲)143-154
ページ数12
ジャーナルJapanese Journal of Crop Science
83
発行部数2
DOI
出版物ステータス出版済み - 1 1 2014

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regression analysis
heading
Regression Analysis
rice
inflorescences
Weights and Measures
grain yield
Reading
Proteins
rice protein
brown rice
proteins
protein content
nutrition
Oryza
Temperature
Growth
temperature
SPAD

All Science Journal Classification (ASJC) codes

  • Food Science
  • Agronomy and Crop Science
  • Genetics

これを引用

Application of a regression tree to analysis of rice yield and quality determinants. / Tanaka, Kodai; Yasumaru, Hirai; Saruta, Keisuke; Inoue, Eiji; Okayasu, Takashi; Muneshi, Mitsuoka.

:: Japanese Journal of Crop Science, 巻 83, 番号 2, 01.01.2014, p. 143-154.

研究成果: ジャーナルへの寄稿記事

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