Wheat quality index: new holistic approach to identify quality superior genotypes
Abstract Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and the quality of the end-products. Selection of elite lines is easy when a single quality trait is under consideration and unmanageable for multiple...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mohan, Devinder [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© Akadémiai Kiadó Zrt. 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Cereal research communications - Budapest : Akadémiai Kiadó, 1973, 50(2022), 4 vom: 07. Feb., Seite 1105-1115 |
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| Übergeordnetes Werk: |
volume:50 ; year:2022 ; number:4 ; day:07 ; month:02 ; pages:1105-1115 |
| Links: |
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| DOI / URN: |
10.1007/s42976-022-00254-5 |
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| Katalog-ID: |
SPR048637629 |
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| 520 | |a Abstract Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and the quality of the end-products. Selection of elite lines is easy when a single quality trait is under consideration and unmanageable for multiple quality traits. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. This novel approach has been developed to distinguish an array of high-yielding wheat varieties based on their overall quality status. Depending upon the wheat quality index range (0.15–0.71), the cultivars were assorted into three distinct categories, i.e. elite, moderate and poor. The top group ascertained genotypes with high-quality standards suited for bread and chapati, whereas the bottom group assured varieties suited for good quality biscuits. This technique was also tested to differentiate quality enriched test sites within a wheat-growing zone to demarcate the most suited production environments to harness good quality wheat. The index will have an implication on the farmers (premium price for varietal segregation), industry (product-specific quality cultivars), and consumers (superior quality products). | ||
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| 650 | 4 | |a Production environments |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Wheat quality index |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Gupta, Om Prakash |4 aut | |
| 700 | 1 | |a Pandey, Vanita |4 aut | |
| 700 | 1 | |a Krishnappa, Gopalareddy |4 aut | |
| 700 | 1 | |a Singh, Gyanendra Pratap |4 aut | |
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10.1007/s42976-022-00254-5 doi (DE-627)SPR048637629 (SPR)s42976-022-00254-5-e DE-627 ger DE-627 rakwb eng Mohan, Devinder verfasserin aut Wheat quality index: new holistic approach to identify quality superior genotypes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó Zrt. 2022 Abstract Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and the quality of the end-products. Selection of elite lines is easy when a single quality trait is under consideration and unmanageable for multiple quality traits. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. This novel approach has been developed to distinguish an array of high-yielding wheat varieties based on their overall quality status. Depending upon the wheat quality index range (0.15–0.71), the cultivars were assorted into three distinct categories, i.e. elite, moderate and poor. The top group ascertained genotypes with high-quality standards suited for bread and chapati, whereas the bottom group assured varieties suited for good quality biscuits. This technique was also tested to differentiate quality enriched test sites within a wheat-growing zone to demarcate the most suited production environments to harness good quality wheat. The index will have an implication on the farmers (premium price for varietal segregation), industry (product-specific quality cultivars), and consumers (superior quality products). Wheat quality (dpeaa)DE-He213 Production environments (dpeaa)DE-He213 Value addition (dpeaa)DE-He213 Wheat quality index (dpeaa)DE-He213 Sendhil, R. aut Gupta, Om Prakash aut Pandey, Vanita aut Krishnappa, Gopalareddy aut Singh, Gyanendra Pratap aut Enthalten in Cereal research communications Budapest : Akadémiai Kiadó, 1973 50(2022), 4 vom: 07. Feb., Seite 1105-1115 (DE-627)528856642 (DE-600)2296169-0 1788-9170 nnns volume:50 year:2022 number:4 day:07 month:02 pages:1105-1115 https://dx.doi.org/10.1007/s42976-022-00254-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 50 2022 4 07 02 1105-1115 |
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10.1007/s42976-022-00254-5 doi (DE-627)SPR048637629 (SPR)s42976-022-00254-5-e DE-627 ger DE-627 rakwb eng Mohan, Devinder verfasserin aut Wheat quality index: new holistic approach to identify quality superior genotypes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó Zrt. 2022 Abstract Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and the quality of the end-products. Selection of elite lines is easy when a single quality trait is under consideration and unmanageable for multiple quality traits. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. This novel approach has been developed to distinguish an array of high-yielding wheat varieties based on their overall quality status. Depending upon the wheat quality index range (0.15–0.71), the cultivars were assorted into three distinct categories, i.e. elite, moderate and poor. The top group ascertained genotypes with high-quality standards suited for bread and chapati, whereas the bottom group assured varieties suited for good quality biscuits. This technique was also tested to differentiate quality enriched test sites within a wheat-growing zone to demarcate the most suited production environments to harness good quality wheat. The index will have an implication on the farmers (premium price for varietal segregation), industry (product-specific quality cultivars), and consumers (superior quality products). Wheat quality (dpeaa)DE-He213 Production environments (dpeaa)DE-He213 Value addition (dpeaa)DE-He213 Wheat quality index (dpeaa)DE-He213 Sendhil, R. aut Gupta, Om Prakash aut Pandey, Vanita aut Krishnappa, Gopalareddy aut Singh, Gyanendra Pratap aut Enthalten in Cereal research communications Budapest : Akadémiai Kiadó, 1973 50(2022), 4 vom: 07. Feb., Seite 1105-1115 (DE-627)528856642 (DE-600)2296169-0 1788-9170 nnns volume:50 year:2022 number:4 day:07 month:02 pages:1105-1115 https://dx.doi.org/10.1007/s42976-022-00254-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 50 2022 4 07 02 1105-1115 |
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10.1007/s42976-022-00254-5 doi (DE-627)SPR048637629 (SPR)s42976-022-00254-5-e DE-627 ger DE-627 rakwb eng Mohan, Devinder verfasserin aut Wheat quality index: new holistic approach to identify quality superior genotypes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó Zrt. 2022 Abstract Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and the quality of the end-products. Selection of elite lines is easy when a single quality trait is under consideration and unmanageable for multiple quality traits. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. This novel approach has been developed to distinguish an array of high-yielding wheat varieties based on their overall quality status. Depending upon the wheat quality index range (0.15–0.71), the cultivars were assorted into three distinct categories, i.e. elite, moderate and poor. The top group ascertained genotypes with high-quality standards suited for bread and chapati, whereas the bottom group assured varieties suited for good quality biscuits. This technique was also tested to differentiate quality enriched test sites within a wheat-growing zone to demarcate the most suited production environments to harness good quality wheat. The index will have an implication on the farmers (premium price for varietal segregation), industry (product-specific quality cultivars), and consumers (superior quality products). Wheat quality (dpeaa)DE-He213 Production environments (dpeaa)DE-He213 Value addition (dpeaa)DE-He213 Wheat quality index (dpeaa)DE-He213 Sendhil, R. aut Gupta, Om Prakash aut Pandey, Vanita aut Krishnappa, Gopalareddy aut Singh, Gyanendra Pratap aut Enthalten in Cereal research communications Budapest : Akadémiai Kiadó, 1973 50(2022), 4 vom: 07. Feb., Seite 1105-1115 (DE-627)528856642 (DE-600)2296169-0 1788-9170 nnns volume:50 year:2022 number:4 day:07 month:02 pages:1105-1115 https://dx.doi.org/10.1007/s42976-022-00254-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 50 2022 4 07 02 1105-1115 |
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10.1007/s42976-022-00254-5 doi (DE-627)SPR048637629 (SPR)s42976-022-00254-5-e DE-627 ger DE-627 rakwb eng Mohan, Devinder verfasserin aut Wheat quality index: new holistic approach to identify quality superior genotypes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó Zrt. 2022 Abstract Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and the quality of the end-products. Selection of elite lines is easy when a single quality trait is under consideration and unmanageable for multiple quality traits. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. This novel approach has been developed to distinguish an array of high-yielding wheat varieties based on their overall quality status. Depending upon the wheat quality index range (0.15–0.71), the cultivars were assorted into three distinct categories, i.e. elite, moderate and poor. The top group ascertained genotypes with high-quality standards suited for bread and chapati, whereas the bottom group assured varieties suited for good quality biscuits. This technique was also tested to differentiate quality enriched test sites within a wheat-growing zone to demarcate the most suited production environments to harness good quality wheat. The index will have an implication on the farmers (premium price for varietal segregation), industry (product-specific quality cultivars), and consumers (superior quality products). Wheat quality (dpeaa)DE-He213 Production environments (dpeaa)DE-He213 Value addition (dpeaa)DE-He213 Wheat quality index (dpeaa)DE-He213 Sendhil, R. aut Gupta, Om Prakash aut Pandey, Vanita aut Krishnappa, Gopalareddy aut Singh, Gyanendra Pratap aut Enthalten in Cereal research communications Budapest : Akadémiai Kiadó, 1973 50(2022), 4 vom: 07. Feb., Seite 1105-1115 (DE-627)528856642 (DE-600)2296169-0 1788-9170 nnns volume:50 year:2022 number:4 day:07 month:02 pages:1105-1115 https://dx.doi.org/10.1007/s42976-022-00254-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 50 2022 4 07 02 1105-1115 |
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10.1007/s42976-022-00254-5 doi (DE-627)SPR048637629 (SPR)s42976-022-00254-5-e DE-627 ger DE-627 rakwb eng Mohan, Devinder verfasserin aut Wheat quality index: new holistic approach to identify quality superior genotypes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó Zrt. 2022 Abstract Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and the quality of the end-products. Selection of elite lines is easy when a single quality trait is under consideration and unmanageable for multiple quality traits. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. This novel approach has been developed to distinguish an array of high-yielding wheat varieties based on their overall quality status. Depending upon the wheat quality index range (0.15–0.71), the cultivars were assorted into three distinct categories, i.e. elite, moderate and poor. The top group ascertained genotypes with high-quality standards suited for bread and chapati, whereas the bottom group assured varieties suited for good quality biscuits. This technique was also tested to differentiate quality enriched test sites within a wheat-growing zone to demarcate the most suited production environments to harness good quality wheat. The index will have an implication on the farmers (premium price for varietal segregation), industry (product-specific quality cultivars), and consumers (superior quality products). Wheat quality (dpeaa)DE-He213 Production environments (dpeaa)DE-He213 Value addition (dpeaa)DE-He213 Wheat quality index (dpeaa)DE-He213 Sendhil, R. aut Gupta, Om Prakash aut Pandey, Vanita aut Krishnappa, Gopalareddy aut Singh, Gyanendra Pratap aut Enthalten in Cereal research communications Budapest : Akadémiai Kiadó, 1973 50(2022), 4 vom: 07. Feb., Seite 1105-1115 (DE-627)528856642 (DE-600)2296169-0 1788-9170 nnns volume:50 year:2022 number:4 day:07 month:02 pages:1105-1115 https://dx.doi.org/10.1007/s42976-022-00254-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 50 2022 4 07 02 1105-1115 |
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Mohan, Devinder @@aut@@ Sendhil, R. @@aut@@ Gupta, Om Prakash @@aut@@ Pandey, Vanita @@aut@@ Krishnappa, Gopalareddy @@aut@@ Singh, Gyanendra Pratap @@aut@@ |
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Mohan, Devinder |
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Wheat quality index: new holistic approach to identify quality superior genotypes Wheat quality (dpeaa)DE-He213 Production environments (dpeaa)DE-He213 Value addition (dpeaa)DE-He213 Wheat quality index (dpeaa)DE-He213 |
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Wheat quality index: new holistic approach to identify quality superior genotypes |
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Mohan, Devinder Sendhil, R. Gupta, Om Prakash Pandey, Vanita Krishnappa, Gopalareddy Singh, Gyanendra Pratap |
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wheat quality index: new holistic approach to identify quality superior genotypes |
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Wheat quality index: new holistic approach to identify quality superior genotypes |
| abstract |
Abstract Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and the quality of the end-products. Selection of elite lines is easy when a single quality trait is under consideration and unmanageable for multiple quality traits. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. This novel approach has been developed to distinguish an array of high-yielding wheat varieties based on their overall quality status. Depending upon the wheat quality index range (0.15–0.71), the cultivars were assorted into three distinct categories, i.e. elite, moderate and poor. The top group ascertained genotypes with high-quality standards suited for bread and chapati, whereas the bottom group assured varieties suited for good quality biscuits. This technique was also tested to differentiate quality enriched test sites within a wheat-growing zone to demarcate the most suited production environments to harness good quality wheat. The index will have an implication on the farmers (premium price for varietal segregation), industry (product-specific quality cultivars), and consumers (superior quality products). © Akadémiai Kiadó Zrt. 2022 |
| abstractGer |
Abstract Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and the quality of the end-products. Selection of elite lines is easy when a single quality trait is under consideration and unmanageable for multiple quality traits. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. This novel approach has been developed to distinguish an array of high-yielding wheat varieties based on their overall quality status. Depending upon the wheat quality index range (0.15–0.71), the cultivars were assorted into three distinct categories, i.e. elite, moderate and poor. The top group ascertained genotypes with high-quality standards suited for bread and chapati, whereas the bottom group assured varieties suited for good quality biscuits. This technique was also tested to differentiate quality enriched test sites within a wheat-growing zone to demarcate the most suited production environments to harness good quality wheat. The index will have an implication on the farmers (premium price for varietal segregation), industry (product-specific quality cultivars), and consumers (superior quality products). © Akadémiai Kiadó Zrt. 2022 |
| abstract_unstemmed |
Abstract Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and the quality of the end-products. Selection of elite lines is easy when a single quality trait is under consideration and unmanageable for multiple quality traits. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. This novel approach has been developed to distinguish an array of high-yielding wheat varieties based on their overall quality status. Depending upon the wheat quality index range (0.15–0.71), the cultivars were assorted into three distinct categories, i.e. elite, moderate and poor. The top group ascertained genotypes with high-quality standards suited for bread and chapati, whereas the bottom group assured varieties suited for good quality biscuits. This technique was also tested to differentiate quality enriched test sites within a wheat-growing zone to demarcate the most suited production environments to harness good quality wheat. The index will have an implication on the farmers (premium price for varietal segregation), industry (product-specific quality cultivars), and consumers (superior quality products). © Akadémiai Kiadó Zrt. 2022 |
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| title_short |
Wheat quality index: new holistic approach to identify quality superior genotypes |
| url |
https://dx.doi.org/10.1007/s42976-022-00254-5 |
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| author2 |
Sendhil, R. Gupta, Om Prakash Pandey, Vanita Krishnappa, Gopalareddy Singh, Gyanendra Pratap |
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Sendhil, R. Gupta, Om Prakash Pandey, Vanita Krishnappa, Gopalareddy Singh, Gyanendra Pratap |
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| doi_str |
10.1007/s42976-022-00254-5 |
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2024-07-03T20:30:20.043Z |
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| score |
7.4012384 |