Genetic dissection of soybean lodging tolerance in recombinant inbred-line populations of major Japanese and modern US varieties

In soybean production, lodging poses a significant challenge to modern mechanized agriculture, such as the use of combine harvesters. Most Japanese varieties are prone to lodging because of the local weather conditions, such as wind and rain, resulting in a decline in productivity. In the United States (US), where mechanized agricultural production systems are prevalent, lodging tolerance (LT) is essential in soybean breeding. We thus used two recombinant inbred-line (RIL) populations developed by crossing major Japanese and modern US varieties for the genetic dissection of LT. One reliable quantitative trait locus (QTL) for lodging angle, <i>qLT13-1</i>, was identified from the first RIL population under two experimental conditions, early and late maturity groups of the first RILs in Ibaraki in 2018, and it accounted for 20.7%-20.9% of the phenotypic variation. An allele at <i>qLT13-1</i> from a US variety was effective in improving LT under most experimental conditions. In addition, a QTL for LT was valid in the same genetic region of the other RIL populations. The effective allele, <i>qLT13-1</i> is thus expected to be important for improving LT in soybean breeding, particularly in Japanese varieties.

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Publication Details

Journal
Breeding Science
Published
2025-01-01
DOI
https://doi.org/10.1270/jsbbs.24088
Primary Topic
Soybean genetics and cultivation
Type
article
Field-Weighted Citation Impact
0.00

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article

Genetic dissection of soybean lodging tolerance in recombinant inbred-line populations of major Japanese and modern US varieties

‍Masao Ishimoto, Shigeki Morita, Takashi Sayama, Fumio Taguchi-‍Shiobara et al.
Breeding Science
Soybean genetics and cultivation
article

Genetic dissection of soybean lodging tolerance in recombinant inbred-line populations of major Japanese and modern US varieties

‍Masao Ishimoto, Shigeki Morita, Takashi Sayama, Fumio Taguchi-‍Shiobara, Takuma Sugimoto, Eri Ogiso‐Tanaka, Atsunori Fukuda, Makita Hajika, Ryohei Okuno, Yuko Yokota, Osamu Uchikawa, Ai Hishinuma, Akito Kaga, Akio Kikuchi, Tetsuya Yamada, Shin Kato, Feng Li, Takehiko Shimizu, Kenichiro Fujii, Kaori Hirata
article en

Abstract

In soybean production, lodging poses a significant challenge to modern mechanized agriculture, such as the use of combine harvesters. Most Japanese varieties are prone to lodging because of the local weather conditions, such as wind and rain, resulting in a decline in productivity. In the United States (US), where mechanized agricultural production systems are prevalent, lodging tolerance (LT) is essential in soybean breeding. We thus used two recombinant inbred-line (RIL) populations developed by crossing major Japanese and modern US varieties for the genetic dissection of LT. One reliable quantitative trait locus (QTL) for lodging angle, <i>qLT13-1</i>, was identified from the first RIL population under two experimental conditions, early and late maturity groups of the first RILs in Ibaraki in 2018, and it accounted for 20.7%-20.9% of the phenotypic variation. An allele at <i>qLT13-1</i> from a US variety was effective in improving LT under most experimental conditions. In addition, a QTL for LT was valid in the same genetic region of the other RIL populations. The effective allele, <i>qLT13-1</i> is thus expected to be important for improving LT in soybean breeding, particularly in Japanese varieties.

Breeding ScienceVol. 75(3)
National Agriculture and Food Research Organization (JP), Research Center for Agricultural Information Technology (JP), Tohoku Agricultural Research Center (JP), Hyogo Prefectural Hyogo Agricultural University (JP), Kazusa DNA Research Institute (JP), Institute of Crop Science (JP), Agricultural Institute (HU), Tokyo University of Agriculture and Technology (JP)
Ministry of Agriculture, Forestry and Fisheries, Bio-oriented Technology Research Advancement Institution
Zero hunger
Openalex Percentile: Top 90%
Soybean genetics and cultivation
DOIOpen Access PDFOpenAlex
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