Establishment of a predictive model to identify suitable soybean genotypes for oil processing

Sun, Lu; Wang, Fang; Weng, Zebin; Xu, Zheng; Xiong, Ling; Song, Haizhao; Fang, Yong; Tang, Xiaozhi; Zhao, Tuanjie; Shen, Xinchun

doi:10.1016/j.jfca.2021.104285

Cited by 2 publications

(1 citation statement)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to data published by FAO (www.fao.org/faostat/en, accessed on 1 July 2023), in 2021, the total global production of soybeans reached 368 million tons, while Chinese soybean production accounted for only 5.3% of global production, and the self-sufficiency rate was low, meaning that China still required a large number of imports. Soybeans contain about 40% protein content and 20% vegetable oil content [2]. Soybeans remain the leading source of vegetable protein and edible oils for human consumption worldwide.…”

Section: Introductionmentioning

confidence: 99%

QTL Mapping for Seed Quality Traits under Multiple Environments in Soybean (Glycine max L.)

Liu,

Jiang,

et al. 2023

Agronomy

View full text Add to dashboard Cite

Soybeans are the main source of vegetable protein and edible oil for humans, with an average content of about 40% crude protein and 20% crude fat. Soybean quality traits are mostly quantitative traits controlled by multiple genes. The quantitative trait loci (QTL) for soybean quality traits and mining related candidate genes are of great significance for the molecular breeding of soybean quality traits and understanding the genetic mechanism of protein/fat metabolism. In this study, the F2 population was derived from the high-protein material Changjiang Chun 2 and Jiyu 166. On the basis of a genetic linkage map constructed in our previous study, the QTL of crude protein content, crude oil content and fatty acid fractions were detected using the multiple-QTL model (MQM) mapping method. The results show that a total of 92 QTL were obtained affecting quality traits under three environments, including 14 QTL of crude oil content, 9 QTL of crude protein content, and 20, 20, 11, 10 and 8 QTL for the content of palmitic, stearic, oleic, linoleic and linolenic acids, respectively. Sixteen QTL clusters were identified, among which Loci01.1, Loci06.1 and Loci11.1 were identified as stable QTL clusters with phenotypic contribution rates of 16.5%, 16.4% and 12.1%, respectively, and candidate genes were mined in their regions. A total of 32 candidate genes related to soybean quality were finally screened via GO enrichment and gene annotation. The present study lies the foundations for understanding the genetic mechanism and elite germplasm innovation of seed quality in soybean.

show abstract

Section: Introductionmentioning

confidence: 99%