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...
Ausführliche Beschreibung
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: |
---|
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 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV063071002 | ||
003 | DE-627 | ||
005 | 20230928075304.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230907s2023 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.indcrop.2023.116324 |2 doi | |
035 | |a (DE-627)ELV063071002 | ||
035 | |a (ELSEVIER)S0926-6690(23)00088-2 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
082 | 0 | 4 | |a 630 |a 640 |q VZ |
084 | |a 48.30 |2 bkl | ||
100 | 1 | |a Zhang, Anyong |e verfasserin |4 aut | |
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 |
264 | 1 | |c 2023 | |
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
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 | |
773 | 0 | 8 | |i Enthalten in |t Industrial crops and products |d New York, NY [u.a.] : Elsevier, 1992 |g 194 |h Online-Ressource |w (DE-627)300894678 |w (DE-600)1483245-8 |w (DE-576)259270792 |x 1872-633X |7 nnns |
773 | 1 | 8 | |g volume:194 |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_32 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_90 | ||
912 | |a GBV_ILN_100 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_187 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_224 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_702 | ||
912 | |a GBV_ILN_2001 | ||
912 | |a GBV_ILN_2003 | ||
912 | |a GBV_ILN_2004 | ||
912 | |a GBV_ILN_2005 | ||
912 | |a GBV_ILN_2007 | ||
912 | |a GBV_ILN_2008 | ||
912 | |a GBV_ILN_2009 | ||
912 | |a GBV_ILN_2010 | ||
912 | |a GBV_ILN_2011 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_2015 | ||
912 | |a GBV_ILN_2020 | ||
912 | |a GBV_ILN_2021 | ||
912 | |a GBV_ILN_2025 | ||
912 | |a GBV_ILN_2026 | ||
912 | |a GBV_ILN_2027 | ||
912 | |a GBV_ILN_2034 | ||
912 | |a GBV_ILN_2044 | ||
912 | |a GBV_ILN_2048 | ||
912 | |a GBV_ILN_2049 | ||
912 | |a GBV_ILN_2050 | ||
912 | |a GBV_ILN_2055 | ||
912 | |a GBV_ILN_2056 | ||
912 | |a GBV_ILN_2059 | ||
912 | |a GBV_ILN_2061 | ||
912 | |a GBV_ILN_2064 | ||
912 | |a GBV_ILN_2088 | ||
912 | |a GBV_ILN_2106 | ||
912 | |a GBV_ILN_2110 | ||
912 | |a GBV_ILN_2111 | ||
912 | |a GBV_ILN_2112 | ||
912 | |a GBV_ILN_2122 | ||
912 | |a GBV_ILN_2129 | ||
912 | |a GBV_ILN_2143 | ||
912 | |a GBV_ILN_2152 | ||
912 | |a GBV_ILN_2153 | ||
912 | |a GBV_ILN_2190 | ||
912 | |a GBV_ILN_2232 | ||
912 | |a GBV_ILN_2336 | ||
912 | |a GBV_ILN_2470 | ||
912 | |a GBV_ILN_2507 | ||
912 | |a GBV_ILN_4035 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4242 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4251 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4326 | ||
912 | |a GBV_ILN_4333 | ||
912 | |a GBV_ILN_4334 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4393 | ||
912 | |a GBV_ILN_4700 | ||
936 | b | k | |a 48.30 |j Natürliche Ressourcen |x Land- und Forstwirtschaft |q VZ |
951 | |a AR | ||
952 | |d 194 |
author_variant |
a z az z h zh x h xh t z tz y w yw y l yl y w yw l p lp x r xr |
---|---|
matchkey_str |
article:1872633X:2023----::agsaecennodvreaeyincluoefriutnosyprdnboasnyaischrfctoadlnldigeit |
hierarchy_sort_str |
2023 |
bklnumber |
48.30 |
publishDate |
2023 |
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 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV063071002</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230928075304.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230907s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.indcrop.2023.116324</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV063071002</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0926-6690(23)00088-2</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="a">640</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">48.30</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Anyong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Plant cell wall</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lignocellulose feature</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomass digestibility</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lodging index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Alkali pretreatment</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hu, Zhen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hu, Xue</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhao, Ting</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Yixiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Yuqi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Yanting</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Peng, Liangcai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ren, Xifeng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Industrial crops and products</subfield><subfield code="d">New York, NY [u.a.] : Elsevier, 1992</subfield><subfield code="g">194</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)300894678</subfield><subfield code="w">(DE-600)1483245-8</subfield><subfield code="w">(DE-576)259270792</subfield><subfield code="x">1872-633X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:194</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">48.30</subfield><subfield code="j">Natürliche Ressourcen</subfield><subfield code="x">Land- und Forstwirtschaft</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">194</subfield></datafield></record></collection>
|
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 |
authorStr |
Zhang, Anyong |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)300894678 |
format |
electronic Article |
dewey-ones |
630 - Agriculture & related technologies 640 - Home & family management |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut aut aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
1872-633X |
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 |
topic |
ddc 630 bkl 48.30 misc Plant cell wall misc Lignocellulose feature misc Biomass digestibility misc Lodging index misc Alkali pretreatment |
topic_unstemmed |
ddc 630 bkl 48.30 misc Plant cell wall misc Lignocellulose feature misc Biomass digestibility misc Lodging index misc Alkali pretreatment |
topic_browse |
ddc 630 bkl 48.30 misc Plant cell wall misc Lignocellulose feature misc Biomass digestibility misc Lodging index misc Alkali pretreatment |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Industrial crops and products |
hierarchy_parent_id |
300894678 |
dewey-tens |
630 - Agriculture 640 - Home & family management |
hierarchy_top_title |
Industrial crops and products |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)300894678 (DE-600)1483245-8 (DE-576)259270792 |
title |
Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay |
ctrlnum |
(DE-627)ELV063071002 (ELSEVIER)S0926-6690(23)00088-2 |
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 |
author_sort |
Zhang, Anyong |
journal |
Industrial crops and products |
journalStr |
Industrial crops and products |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
600 - Technology |
recordtype |
marc |
publishDateSort |
2023 |
contenttype_str_mv |
zzz |
author_browse |
Zhang, Anyong Hu, Zhen Hu, Xue Zhao, Ting Wang, Yixiang Li, Yuqi Wang, Yanting Peng, Liangcai Ren, Xifeng |
container_volume |
194 |
class |
630 640 VZ 48.30 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Zhang, Anyong |
doi_str_mv |
10.1016/j.indcrop.2023.116324 |
dewey-full |
630 640 |
author2-role |
verfasserin |
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. |
collection_details |
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 |
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 |
remote_bool |
true |
author2 |
Hu, Zhen Hu, Xue Zhao, Ting Wang, Yixiang Li, Yuqi Wang, Yanting Peng, Liangcai Ren, Xifeng |
author2Str |
Hu, Zhen Hu, Xue Zhao, Ting Wang, Yixiang Li, Yuqi Wang, Yanting Peng, Liangcai Ren, Xifeng |
ppnlink |
300894678 |
mediatype_str_mv |
c |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1016/j.indcrop.2023.116324 |
up_date |
2024-07-06T19:23:18.169Z |
_version_ |
1803858789709905920 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV063071002</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230928075304.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230907s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.indcrop.2023.116324</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV063071002</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0926-6690(23)00088-2</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="a">640</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">48.30</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Anyong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Large-scale screening of diverse barely lignocelluloses for simultaneously upgrading biomass enzymatic saccharification and plant lodging resistance coupled with near-infrared spectroscopic assay</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Plant cell wall</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lignocellulose feature</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomass digestibility</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lodging index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Alkali pretreatment</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hu, Zhen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hu, Xue</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhao, Ting</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Yixiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Yuqi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Yanting</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Peng, Liangcai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ren, Xifeng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Industrial crops and products</subfield><subfield code="d">New York, NY [u.a.] : Elsevier, 1992</subfield><subfield code="g">194</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)300894678</subfield><subfield code="w">(DE-600)1483245-8</subfield><subfield code="w">(DE-576)259270792</subfield><subfield code="x">1872-633X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:194</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">48.30</subfield><subfield code="j">Natürliche Ressourcen</subfield><subfield code="x">Land- und Forstwirtschaft</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">194</subfield></datafield></record></collection>
|
score |
7.4010572 |