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A comprehensive method to select energy sorghum hybrids for bioethanol production

文献类型： 外文期刊

作者： Xu, Yi 1 ; Wang, Ming Li 6 ; Devlet, Abdulgani 7 ; Han, Lipu 4 ; Tang, Chaochen 2 ; Tan, Tiansu 7 ; Xie, Guang Hui 1 ;

作者机构： 1.China Agr Univ, Coll Agron & Biotechnol, 2 Yuanmingyuan West Rd, Beijing 100193, Peoples R China

2.Guangdong Acad Agr Sci, Crops Res Inst, Guangzhou 510640, Peoples R China

3.Key Lab Crop Genet Improvement Guangdong Prov, Guangzhou 510640, Peoples R China

4.Chinese Acad Sci, Inst Genet & Dev Biol, Key Lab Agr Water Resources, Ctr Agr Resources Res,Hebei Key Lab Agr Water Savi, Shijiazhuang 050022, Peoples R China

5.China Agr Univ, Natl Energy R&D Ctr Nonfood Biomass, Beijing 100193, Peoples R China

6.ARS, USDA, Plant Genet Resources Conservat Unit, Griffin, GA 30223 USA

7.Hunan Agr Univ, Coll Biosci & Biotechnol, Changsha 410128, Peoples R China

8.Bilecik Seyh Edebali Univ, Fac Agr & Nat Sci, Bilecik, Turkiye

关键词： Cluster analysis; Principal component analysis; Grey relational analysis; Energy sorghum production; Bioconversion; Biomass quality

期刊名称：BIOMASS & BIOENERGY （ 影响因子：5.8； 五年影响因子：5.7 ）

ISSN： 0961-9534

年卷期： 2024 年 191 卷

页码：

收录情况： SCI

摘要： Breeding dedicated energy sorghum [Sorghum bicolor (L.) Moench] hybrids is an effective way to provide highquality biomass feedstock for bioethanol production. However, there exist very limited energy sorghum cultivars/hybrids suitable for bioethanol production with different bioconversions, which require a comprehensive evaluation method that can select elite sorghum germplasms effectively. Here, an integrated approach (combing cluster analysis, principal component analysis, and grey relational analysis) was applied to evaluate the bioethanol potential of 96 sorghum hybrids at two locations with distinct environmental conditions in North China based on 10 energy-related traits. Results showed that 96 hybrids present extensive genetic diversity as reflected by a high coefficient of variation of theoretical ethanol yield and chemical components including soluble sugars, cellulose, hemicellulose, lignin, and ash content at two locations. The 96 sorghum hybrids can be consistently sorted into 4 groups targeted for different bioconversions for both locations, namely Cluster I (unsuitable sorghum type for bioethanol production), Cluster II (ideal sorghum type for bioethanol production), Cluster III (sweet sorghum type) and Cluster IV (biomass sorghum type). Hybrids No. 28 and 30, hybrids No. 64 and 33, and hybrid No. 10 were identified as optimal candidates for ideal sorghum type, sweet sorghum type, and biomass sorghum type for bioethanol production, respectively. Those results highlight that our comprehensive evaluation method can be effective to select elite sorghum hybrids targeted for different bioethanol bioconversions, which can facilitate the breeding process of high-quality energy sorghum hybrids.

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