Allelic Variation of Soybean Maturity Genes E1 – E4 in the Huang-Huai-Hai River Valley and the Northwest China

Xinyue Zhang, Tingting Wu, Huiwen Wen, Wenwen Song, Cailong Xu, Tianfu Han, Shi Sun and Cunxiang Wu
Additional contact information
Xinyue Zhang: National Soybean Industry Technology R & D Center, Institute of Crop Science, The Chinese Academy of Agricultural Sciences, Beijing 100081, China
Tingting Wu: National Soybean Industry Technology R & D Center, Institute of Crop Science, The Chinese Academy of Agricultural Sciences, Beijing 100081, China
Huiwen Wen: National Soybean Industry Technology R & D Center, Institute of Crop Science, The Chinese Academy of Agricultural Sciences, Beijing 100081, China
Wenwen Song: National Soybean Industry Technology R & D Center, Institute of Crop Science, The Chinese Academy of Agricultural Sciences, Beijing 100081, China
Cailong Xu: National Soybean Industry Technology R & D Center, Institute of Crop Science, The Chinese Academy of Agricultural Sciences, Beijing 100081, China
Tianfu Han: National Soybean Industry Technology R & D Center, Institute of Crop Science, The Chinese Academy of Agricultural Sciences, Beijing 100081, China
Shi Sun: National Soybean Industry Technology R & D Center, Institute of Crop Science, The Chinese Academy of Agricultural Sciences, Beijing 100081, China
Cunxiang Wu: National Soybean Industry Technology R & D Center, Institute of Crop Science, The Chinese Academy of Agricultural Sciences, Beijing 100081, China

Agriculture, 2021, vol. 11, issue 6, 1-9

Abstract: Soybean is planted in a wide span of the world, and flowering and maturity time is an important trait determining soybean yield formation and adaptation. Maturity loci E1 , E2 , E3 and E4 were frequently reported as the most influential genetic loci for soybean flowering and maturity. To understand the allelic variation and assess the phenological traits of cultivars with different E allelic combinations in natural environments, 251 cultivars of maturity group (MG) I–V were field tested in 42 locations across four sub-regions in the Huang-Huai-Hai and Northwest region of China and genotyped with KASP markers for E1 – E4 loci. The results indicated that mutant alleles were only found in the E1 and E2 locus, all of the cultivars carried functional alleles in the E3 and E4 loci in this area, with the frequency of mutant allele to be higher in early maturity groups (MGs) than late MGs. Among nine E allelic combinations in this area, one photoperiodic insensitive mutation in E2 loci ( E1/e2-ns/E3-Ha/E4 and E1/e2-ns/E3-Mi/E4 ) made up the largest proportion (25.10 and 18.33%), while two photoperiodic insensitive mutations in both E1 and E2 loci ( e1-as/e2-ns/E3-Ha/E4 ) (1.20%) occupied the lowest proportion in this panel. The major combinations of E locus for MGI, MGII and MG III in this area were E1/E2-dl/E3-Mi/E4 , E1/e2-ns/E3-Mi/E4 and E1/e2-ns/E3-Ha/E4 , respectively. Cultivars carrying e1-as/e2-ns/E3-Ha/E4 genotype flowered earliest (34 days) on average, 7.6 days earlier than the latest-flowering E haplotype ( E1/e2-ns/E3-Ha/E4 ). This study provided an opportunity to detect the E allelic combinations in the Huang-Huai-Hai River Valley and the Northwest China, which would facilitate the improvement of soybean adaptation in the future.

Keywords: soybean; E genotype; flowering and maturity (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2077-0472/11/6/478/pdf (application/pdf)
https://www.mdpi.com/2077-0472/11/6/478/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:11:y:2021:i:6:p:478-:d:560304

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().