本文へ移動

論文 ·日本語 ·未確認

Morphological characters of rice roots estimated with a root length scanner.

Shigenori Morita Tetsuya Suga Yasushi HARUKI Koou Yamazaki

刊行年
1988-01-01
収録
『Japanese Journal of Crop Science』 57(2) pp. 371-376
出版
Crop Science Society of Japan
言語
英語
OpenAlex
W2325341818
DOI
10.1626/jcs.57.371
MAG
2325341818
ISSN
0011-1848
URL
https://www.jstage.jst.go.jp/article/jcs1927/57/2/57_2_371/_pdf

要旨

Indices concerning morphological characters of rice ( Oryza sativa L.) roots were determined by means of root length estimated with a root length scanner (an applied instrument of the line intersection method). Prior to actual root measurements, nylon thread with different diameters (0.07, 0.10 and 0.33mm) was measured with the root scanner in order to check its performance. It was found that the measurements were exact when the diameters of nylon thread were not less than 0.lmm. Thus, the instrument was thought to be capable of detecting all of the primary roots and most of the 'thick' secondary roots in rice plants. Root measurements were conducted for some paddy rice cultivars with respect to primary root length (PRL) and FAA-insoluble structural dry matter weight ('DW') as well as root length estimated with the root scanner (ERL). To indicate root branching and root thickness (diameter), we proposed the 'coefficient of branching' and the 'coefficient of thickness' which were defined as ERL/PRL ratio and 'DW'/ERL ratio, respectively. In this study, the former ranged from 2.2 to 4.6 (m/m), and the latter ranged from 9.18 to 10.81 (mg/m). After analyzing differences between plant stages or cultivars, these 'coefficients' were thought to be useful indices for relative comparisons.

主題

この書誌の出所

  • openalex— W2325341818(2026-08-14取得)

引用

Shigenori Morita・Tetsuya Suga・Yasushi HARUKI・Koou Yamazaki(1988-01-01) Morphological characters of rice roots estimated with a root length scanner. 『Japanese Journal of Crop Science』 57(2) pp. 371-376 Crop Science Society of Japan

Morita1988MorphologicalCharactersRice
書誌 67,320件 語別索引 17,251件 資源 113件 研究者 303名 JSON