BSA-SEQ-BASED METHOD FOR LOCATING KEY GENETIC SEGMENTS OF PEDUNCLE LENGTH IN BREWING DWARF SORGHUM [SORGHUM BICOLOR (L.) MOENCH]

IF 0.6 4区 环境科学与生态学 Q4 ECOLOGY
G.D. YANG, J.H. LI, Z.Y. HU, Z.Y. HAO, B.S. SUN, C.S. LIU, Q. WANG, X.X. MENG, W. GUO
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引用次数: 0

Abstract

. Sorghum peduncle length is one of the key agronomic traits in sorghum production and has a critical impact on sorghum mechanization for harvesting. In this study, an F2 segregating population was constructed with significantly different long-peduncle KY133B and short-peduncle KY123B as parents, and the sorghum peduncle length gene was preliminarily located using BSA-seq technology. The association analysis was performed by ED algorithm and SNP-index (or InDel-index) algorithm, and finally the sorghum peduncle length association region was targeted on chromosome 7 and 10. In this study, the BSA-seq technique was used to rapidly and efficiently locate key genetic segments of sorghum peduncle length, which laid the foundation for subsequent functional validation and molecular studies of peduncle length genes.
基于bsa - seq的酿酒矮高粱花梗长度关键遗传片段定位方法[j]。MOENCH]
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来源期刊
Applied Ecology and Environmental Research
Applied Ecology and Environmental Research ECOLOGY-ENVIRONMENTAL SCIENCES
CiteScore
1.40
自引率
14.30%
发文量
104
审稿时长
14 months
期刊介绍: The Journal publishes original research papers and review articles. Researchers from all countries are invited to publish pure or applied ecological, environmental, biogeographical, zoological, botanical, paleontological, biometrical-biomathematical and quantitative ecological or multidisciplinary agricultural research of international interest on its pages. The focus is on topics such as: -Community, ecosystem and global ecology- Biometrics, theoretical- and quantitative ecology- Multidisciplinary agricultural and environmental research- Sustainable and organic agriculture, natural resource management- Ecological methodology, monitoring and modeling- Biodiversity and ecosystem research, microbiology, botany and zoology- Biostatistics and modeling in epidemiology, public health and veterinary- Earth history, paleontology, extinctions, biogeography, biogeochemistry- Conservation biology, environmental protection- Ecological economics, natural capital and ecosystem services- Climatology, meteorology, climate change, climate-ecology. The Journal publishes theoretical papers as well as application-oriented contributions and practical case studies. There is no bias with regard to taxon or geographical area. Purely descriptive papers (like only taxonomic lists) will not be accepted for publication.
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