Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay

Barley is an important economical crop for food and beer industry with abundant lignocellulose residues convertible for biofuels and biochemicals. Although lignocellulose recalcitrance provides mechanic strength to maintain plant lodging resistance for biomass production, it also leads to a costly p...
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Autor*in:	Zhang, Anyong [verfasserIn] Hu, Zhen [verfasserIn] Hu, Xue [verfasserIn] Zhao, Ting [verfasserIn] Wang, Yixiang [verfasserIn] Li, Yuqi [verfasserIn] Wang, Yanting [verfasserIn] Peng, Liangcai [verfasserIn] Ren, Xifeng [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Plant cell wall Lignocellulose feature Biomass digestibility Lodging index Alkali pretreatment

Übergeordnetes Werk:	Enthalten in: Industrial crops and products - New York, NY [u.a.] : Elsevier, 1992, 194
Übergeordnetes Werk:	volume:194

DOI / URN:	10.1016/j.indcrop.2023.116324

Katalog-ID:	ELV063071002

Internformat


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245	1	0	\|a Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay
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520			\|a Barley is an important economical crop for food and beer industry with abundant lignocellulose residues convertible for biofuels and biochemicals. Although lignocellulose recalcitrance provides mechanic strength to maintain plant lodging resistance for biomass production, it also leads to a costly process for biofuel production. By collecting total 94 barely samples with diverse genetic backgrounds, this study examined large variations of lignocellulose levels, sugars yields and lodging index values, and further identified that the cellulose level was a crucial factor either positively accounting for biomass enzymatic saccharification or negatively affecting plant lodging resistance. Despite lignin level showed slight impact on lodging resistance, it could negatively affect biomass saccharification in barley samples examined. Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. Therefore, this study has established a powerful approach applicable for both rapidly screening lignocellulose-related traits in crop breeding and precisely selecting the ideal lignocellulose substrates for green-like biomass process into cost-effective biofuels and value-added bioproducts.
650		4	\|a Plant cell wall
650		4	\|a Lignocellulose feature
650		4	\|a Biomass digestibility
650		4	\|a Lodging index
650		4	\|a Alkali pretreatment
700	1		\|a Hu, Zhen \|e verfasserin \|4 aut
700	1		\|a Hu, Xue \|e verfasserin \|4 aut
700	1		\|a Zhao, Ting \|e verfasserin \|4 aut
700	1		\|a Wang, Yixiang \|e verfasserin \|4 aut
700	1		\|a Li, Yuqi \|e verfasserin \|4 aut
700	1		\|a Wang, Yanting \|e verfasserin \|4 aut
700	1		\|a Peng, Liangcai \|e verfasserin \|4 aut
700	1		\|a Ren, Xifeng \|e verfasserin \|4 aut
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912			\|a GBV_ILN_4393
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936	b	k	\|a 48.30 \|j Natürliche Ressourcen \|x Land- und Forstwirtschaft \|q VZ
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allfields	10.1016/j.indcrop.2023.116324 doi (DE-627)ELV063071002 (ELSEVIER)S0926-6690(23)00088-2 DE-627 ger DE-627 rda eng 630 640 VZ 48.30 bkl Zhang, Anyong verfasserin aut Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Barley is an important economical crop for food and beer industry with abundant lignocellulose residues convertible for biofuels and biochemicals. Although lignocellulose recalcitrance provides mechanic strength to maintain plant lodging resistance for biomass production, it also leads to a costly process for biofuel production. By collecting total 94 barely samples with diverse genetic backgrounds, this study examined large variations of lignocellulose levels, sugars yields and lodging index values, and further identified that the cellulose level was a crucial factor either positively accounting for biomass enzymatic saccharification or negatively affecting plant lodging resistance. Despite lignin level showed slight impact on lodging resistance, it could negatively affect biomass saccharification in barley samples examined. Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. Therefore, this study has established a powerful approach applicable for both rapidly screening lignocellulose-related traits in crop breeding and precisely selecting the ideal lignocellulose substrates for green-like biomass process into cost-effective biofuels and value-added bioproducts. Plant cell wall Lignocellulose feature Biomass digestibility Lodging index Alkali pretreatment Hu, Zhen verfasserin aut Hu, Xue verfasserin aut Zhao, Ting verfasserin aut Wang, Yixiang verfasserin aut Li, Yuqi verfasserin aut Wang, Yanting verfasserin aut Peng, Liangcai verfasserin aut Ren, Xifeng verfasserin aut Enthalten in Industrial crops and products New York, NY [u.a.] : Elsevier, 1992 194 Online-Ressource (DE-627)300894678 (DE-600)1483245-8 (DE-576)259270792 1872-633X nnns volume:194 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.30 Natürliche Ressourcen Land- und Forstwirtschaft VZ AR 194
spelling	10.1016/j.indcrop.2023.116324 doi (DE-627)ELV063071002 (ELSEVIER)S0926-6690(23)00088-2 DE-627 ger DE-627 rda eng 630 640 VZ 48.30 bkl Zhang, Anyong verfasserin aut Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Barley is an important economical crop for food and beer industry with abundant lignocellulose residues convertible for biofuels and biochemicals. Although lignocellulose recalcitrance provides mechanic strength to maintain plant lodging resistance for biomass production, it also leads to a costly process for biofuel production. By collecting total 94 barely samples with diverse genetic backgrounds, this study examined large variations of lignocellulose levels, sugars yields and lodging index values, and further identified that the cellulose level was a crucial factor either positively accounting for biomass enzymatic saccharification or negatively affecting plant lodging resistance. Despite lignin level showed slight impact on lodging resistance, it could negatively affect biomass saccharification in barley samples examined. Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. Therefore, this study has established a powerful approach applicable for both rapidly screening lignocellulose-related traits in crop breeding and precisely selecting the ideal lignocellulose substrates for green-like biomass process into cost-effective biofuels and value-added bioproducts. Plant cell wall Lignocellulose feature Biomass digestibility Lodging index Alkali pretreatment Hu, Zhen verfasserin aut Hu, Xue verfasserin aut Zhao, Ting verfasserin aut Wang, Yixiang verfasserin aut Li, Yuqi verfasserin aut Wang, Yanting verfasserin aut Peng, Liangcai verfasserin aut Ren, Xifeng verfasserin aut Enthalten in Industrial crops and products New York, NY [u.a.] : Elsevier, 1992 194 Online-Ressource (DE-627)300894678 (DE-600)1483245-8 (DE-576)259270792 1872-633X nnns volume:194 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.30 Natürliche Ressourcen Land- und Forstwirtschaft VZ AR 194
allfields_unstemmed	10.1016/j.indcrop.2023.116324 doi (DE-627)ELV063071002 (ELSEVIER)S0926-6690(23)00088-2 DE-627 ger DE-627 rda eng 630 640 VZ 48.30 bkl Zhang, Anyong verfasserin aut Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Barley is an important economical crop for food and beer industry with abundant lignocellulose residues convertible for biofuels and biochemicals. Although lignocellulose recalcitrance provides mechanic strength to maintain plant lodging resistance for biomass production, it also leads to a costly process for biofuel production. By collecting total 94 barely samples with diverse genetic backgrounds, this study examined large variations of lignocellulose levels, sugars yields and lodging index values, and further identified that the cellulose level was a crucial factor either positively accounting for biomass enzymatic saccharification or negatively affecting plant lodging resistance. Despite lignin level showed slight impact on lodging resistance, it could negatively affect biomass saccharification in barley samples examined. Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. Therefore, this study has established a powerful approach applicable for both rapidly screening lignocellulose-related traits in crop breeding and precisely selecting the ideal lignocellulose substrates for green-like biomass process into cost-effective biofuels and value-added bioproducts. Plant cell wall Lignocellulose feature Biomass digestibility Lodging index Alkali pretreatment Hu, Zhen verfasserin aut Hu, Xue verfasserin aut Zhao, Ting verfasserin aut Wang, Yixiang verfasserin aut Li, Yuqi verfasserin aut Wang, Yanting verfasserin aut Peng, Liangcai verfasserin aut Ren, Xifeng verfasserin aut Enthalten in Industrial crops and products New York, NY [u.a.] : Elsevier, 1992 194 Online-Ressource (DE-627)300894678 (DE-600)1483245-8 (DE-576)259270792 1872-633X nnns volume:194 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.30 Natürliche Ressourcen Land- und Forstwirtschaft VZ AR 194
allfieldsGer	10.1016/j.indcrop.2023.116324 doi (DE-627)ELV063071002 (ELSEVIER)S0926-6690(23)00088-2 DE-627 ger DE-627 rda eng 630 640 VZ 48.30 bkl Zhang, Anyong verfasserin aut Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Barley is an important economical crop for food and beer industry with abundant lignocellulose residues convertible for biofuels and biochemicals. Although lignocellulose recalcitrance provides mechanic strength to maintain plant lodging resistance for biomass production, it also leads to a costly process for biofuel production. By collecting total 94 barely samples with diverse genetic backgrounds, this study examined large variations of lignocellulose levels, sugars yields and lodging index values, and further identified that the cellulose level was a crucial factor either positively accounting for biomass enzymatic saccharification or negatively affecting plant lodging resistance. Despite lignin level showed slight impact on lodging resistance, it could negatively affect biomass saccharification in barley samples examined. Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. Therefore, this study has established a powerful approach applicable for both rapidly screening lignocellulose-related traits in crop breeding and precisely selecting the ideal lignocellulose substrates for green-like biomass process into cost-effective biofuels and value-added bioproducts. Plant cell wall Lignocellulose feature Biomass digestibility Lodging index Alkali pretreatment Hu, Zhen verfasserin aut Hu, Xue verfasserin aut Zhao, Ting verfasserin aut Wang, Yixiang verfasserin aut Li, Yuqi verfasserin aut Wang, Yanting verfasserin aut Peng, Liangcai verfasserin aut Ren, Xifeng verfasserin aut Enthalten in Industrial crops and products New York, NY [u.a.] : Elsevier, 1992 194 Online-Ressource (DE-627)300894678 (DE-600)1483245-8 (DE-576)259270792 1872-633X nnns volume:194 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.30 Natürliche Ressourcen Land- und Forstwirtschaft VZ AR 194
allfieldsSound	10.1016/j.indcrop.2023.116324 doi (DE-627)ELV063071002 (ELSEVIER)S0926-6690(23)00088-2 DE-627 ger DE-627 rda eng 630 640 VZ 48.30 bkl Zhang, Anyong verfasserin aut Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Barley is an important economical crop for food and beer industry with abundant lignocellulose residues convertible for biofuels and biochemicals. Although lignocellulose recalcitrance provides mechanic strength to maintain plant lodging resistance for biomass production, it also leads to a costly process for biofuel production. By collecting total 94 barely samples with diverse genetic backgrounds, this study examined large variations of lignocellulose levels, sugars yields and lodging index values, and further identified that the cellulose level was a crucial factor either positively accounting for biomass enzymatic saccharification or negatively affecting plant lodging resistance. Despite lignin level showed slight impact on lodging resistance, it could negatively affect biomass saccharification in barley samples examined. Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. Therefore, this study has established a powerful approach applicable for both rapidly screening lignocellulose-related traits in crop breeding and precisely selecting the ideal lignocellulose substrates for green-like biomass process into cost-effective biofuels and value-added bioproducts. Plant cell wall Lignocellulose feature Biomass digestibility Lodging index Alkali pretreatment Hu, Zhen verfasserin aut Hu, Xue verfasserin aut Zhao, Ting verfasserin aut Wang, Yixiang verfasserin aut Li, Yuqi verfasserin aut Wang, Yanting verfasserin aut Peng, Liangcai verfasserin aut Ren, Xifeng verfasserin aut Enthalten in Industrial crops and products New York, NY [u.a.] : Elsevier, 1992 194 Online-Ressource (DE-627)300894678 (DE-600)1483245-8 (DE-576)259270792 1872-633X nnns volume:194 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.30 Natürliche Ressourcen Land- und Forstwirtschaft VZ AR 194
language	English
source	Enthalten in Industrial crops and products 194 volume:194
sourceStr	Enthalten in Industrial crops and products 194 volume:194
format_phy_str_mv	Article
bklname	Natürliche Ressourcen
institution	findex.gbv.de
topic_facet	Plant cell wall Lignocellulose feature Biomass digestibility Lodging index Alkali pretreatment
dewey-raw	630
isfreeaccess_bool	false
container_title	Industrial crops and products
authorswithroles_txt_mv	Zhang, Anyong @@aut@@ Hu, Zhen @@aut@@ Hu, Xue @@aut@@ Zhao, Ting @@aut@@ Wang, Yixiang @@aut@@ Li, Yuqi @@aut@@ Wang, Yanting @@aut@@ Peng, Liangcai @@aut@@ Ren, Xifeng @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	300894678
dewey-sort	3630
id	ELV063071002
language_de	englisch
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Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. 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author	Zhang, Anyong
spellingShingle	Zhang, Anyong ddc 630 bkl 48.30 misc Plant cell wall misc Lignocellulose feature misc Biomass digestibility misc Lodging index misc Alkali pretreatment Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay
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topic_title	630 640 VZ 48.30 bkl Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay Plant cell wall Lignocellulose feature Biomass digestibility Lodging index Alkali pretreatment
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title	Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay
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title_full	Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay
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author_browse	Zhang, Anyong Hu, Zhen Hu, Xue Zhao, Ting Wang, Yixiang Li, Yuqi Wang, Yanting Peng, Liangcai Ren, Xifeng
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title_sort	large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay
title_auth	Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay
abstract	Barley is an important economical crop for food and beer industry with abundant lignocellulose residues convertible for biofuels and biochemicals. Although lignocellulose recalcitrance provides mechanic strength to maintain plant lodging resistance for biomass production, it also leads to a costly process for biofuel production. By collecting total 94 barely samples with diverse genetic backgrounds, this study examined large variations of lignocellulose levels, sugars yields and lodging index values, and further identified that the cellulose level was a crucial factor either positively accounting for biomass enzymatic saccharification or negatively affecting plant lodging resistance. Despite lignin level showed slight impact on lodging resistance, it could negatively affect biomass saccharification in barley samples examined. Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. Therefore, this study has established a powerful approach applicable for both rapidly screening lignocellulose-related traits in crop breeding and precisely selecting the ideal lignocellulose substrates for green-like biomass process into cost-effective biofuels and value-added bioproducts.
abstractGer	Barley is an important economical crop for food and beer industry with abundant lignocellulose residues convertible for biofuels and biochemicals. Although lignocellulose recalcitrance provides mechanic strength to maintain plant lodging resistance for biomass production, it also leads to a costly process for biofuel production. By collecting total 94 barely samples with diverse genetic backgrounds, this study examined large variations of lignocellulose levels, sugars yields and lodging index values, and further identified that the cellulose level was a crucial factor either positively accounting for biomass enzymatic saccharification or negatively affecting plant lodging resistance. Despite lignin level showed slight impact on lodging resistance, it could negatively affect biomass saccharification in barley samples examined. Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. Therefore, this study has established a powerful approach applicable for both rapidly screening lignocellulose-related traits in crop breeding and precisely selecting the ideal lignocellulose substrates for green-like biomass process into cost-effective biofuels and value-added bioproducts.
abstract_unstemmed	Barley is an important economical crop for food and beer industry with abundant lignocellulose residues convertible for biofuels and biochemicals. Although lignocellulose recalcitrance provides mechanic strength to maintain plant lodging resistance for biomass production, it also leads to a costly process for biofuel production. By collecting total 94 barely samples with diverse genetic backgrounds, this study examined large variations of lignocellulose levels, sugars yields and lodging index values, and further identified that the cellulose level was a crucial factor either positively accounting for biomass enzymatic saccharification or negatively affecting plant lodging resistance. Despite lignin level showed slight impact on lodging resistance, it could negatively affect biomass saccharification in barley samples examined. Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. Therefore, this study has established a powerful approach applicable for both rapidly screening lignocellulose-related traits in crop breeding and precisely selecting the ideal lignocellulose substrates for green-like biomass process into cost-effective biofuels and value-added bioproducts.
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title_short	Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay
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author2	Hu, Zhen Hu, Xue Zhao, Ting Wang, Yixiang Li, Yuqi Wang, Yanting Peng, Liangcai Ren, Xifeng
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up_date	2024-07-06T19:23:18.169Z
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Regarding normal distributions of barley samples, this study generated optimal near-infrared spectroscopy (NIRS) equations applicable for rapid assessment of lignocellulose levels, sugars yields and lodging-related parameters with high determination coefficients for external validation (0.71–0.97), cross-validation (0.89–0.95) and calibration (0.89–0.95), and acceptable ratio performance deviation (2.85–4.35). Notably, the established NIRS models could be employed for selection of the desirable barley samples that are simultaneously of better lodging resistance and higher biomass saccharification. 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Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay

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