本文へ移動

論文 ·日本語 ·未確認

Breeding and Agronomic Research on Lodging Resistance and Culm Strength of Japanese Wheat Cultivars

Hiromi Matsuyama

刊行年
2022-10-01
収録
『Japan Agricultural Research Quarterly JARQ』 56(4) pp. 303-311
出版
Japan International Research Center for Agricultural Sciences
言語
英語
OpenAlex
W4308300424
DOI
10.6090/jarq.56.303
ISSN
0021-3551
URL
https://www.jstage.jst.go.jp/article/jarq/56/4/56_303/_pdf

要旨

Here, Japanese wheat breeding and agronomic studies on lodging resistance, focusing on culm strength are discussed. In Japan, the selection of short-culm wheat varieties is preferred for breeding purposes to date due to their lodging resistance, whereas culm strength has only marginally improved. However, improving culm strength was suggested to help improve lodging resistance in short-culm varieties. Thus, among the 18 typical and predominant wheat varieties, “Yumechikara” showed maximum bending moment at the breaking of the basal internode and produced the strongest culm. Meanwhile, among other varieties that produced strong culms, some demonstrated considerable bending stress and medium section modulus, whereas some showed medium bending stress and large section modulus. Improved varieties with higher lodging resistance may be produced by crossbreeding of varieties with different levels of culm strength. Regarding the effects of crop management, decreased seeding rates resulted in shorter culm length and increased bending moment at the breaking point of the basal internode, which indicated higher lodging resistance. Therefore, low seeding rates may be suitable for heavily fertilized wheat crops, requiring high lodging resistance.

主題

この書誌の出所

  • openalex— W4308300424(2026-08-14取得)

引用

Hiromi Matsuyama(2022-10-01) Breeding and Agronomic Research on Lodging Resistance and Culm Strength of Japanese Wheat Cultivars 『Japan Agricultural Research Quarterly JARQ』 56(4) pp. 303-311 Japan International Research Center for Agricultural Sciences

Matsuyama2022BreedingAgronomicResearch
書誌 67,320件 語別索引 17,251件 資源 113件 研究者 303名 JSON