GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum)
Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environme...
Ausführliche Beschreibung
Autor*in: |
Biradar, Suma S. [verfasserIn] Fyroj, U. [verfasserIn] Desai, S. A. [verfasserIn] Patil, Mahalaxmi K. [verfasserIn] Krishnappa, Gopalareddy [verfasserIn] Chethan, C. K. [verfasserIn] Sudha, T. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Übergeordnetes Werk: |
Enthalten in: Genetic resources and crop evolution - Springer Netherlands, 1953, 71(2023), 5 vom: 03. Nov., Seite 2281-2295 |
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Übergeordnetes Werk: |
volume:71 ; year:2023 ; number:5 ; day:03 ; month:11 ; pages:2281-2295 |
Links: |
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DOI / URN: |
10.1007/s10722-023-01766-7 |
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Katalog-ID: |
SPR055643035 |
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520 | |a Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environments during 2020–2021 for grain iron concentration (GFeC), grain zinc concentration (GZnC), and grain yield (GY). Considerable genetic variation was observed for all traits. The effect of environment per se was highest on the expression of GZnC followed by GFeC and GY. Genotype-environment interaction (GEI) for GFeC, GY, and GZnC accounted for 38.8%, 33.8%, and 28.6% of the total sum of squares, respectively. The positive and high correlation between grain micronutrients suggests a good prospect of simultaneous improvement of both nutrients. Trait-wise, G17, G56, G10, and G44 were found to be stable for GY, while G43, G45, G44, G2, G7, and G34 were stable for GFeC. Similarly, G30, G5, G38, and G44 were stable for GZnC. Across traits, G44 (DDK 50422) was stable along with a high trait mean for all three traits. This could be one of the potential genetic resources for dissecting the molecular basis and also serve as an excellent donor for both biofortification traits along with grain yield in tetraploid dicoccum wheat. | ||
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700 | 1 | |a Chethan, C. K. |e verfasserin |4 aut | |
700 | 1 | |a Sudha, T. |e verfasserin |4 aut | |
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10.1007/s10722-023-01766-7 doi (DE-627)SPR055643035 (SPR)s10722-023-01766-7-e DE-627 ger DE-627 rakwb eng 580 VZ 48.58 bkl 42.43 bkl Biradar, Suma S. verfasserin aut GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environments during 2020–2021 for grain iron concentration (GFeC), grain zinc concentration (GZnC), and grain yield (GY). Considerable genetic variation was observed for all traits. The effect of environment per se was highest on the expression of GZnC followed by GFeC and GY. Genotype-environment interaction (GEI) for GFeC, GY, and GZnC accounted for 38.8%, 33.8%, and 28.6% of the total sum of squares, respectively. The positive and high correlation between grain micronutrients suggests a good prospect of simultaneous improvement of both nutrients. Trait-wise, G17, G56, G10, and G44 were found to be stable for GY, while G43, G45, G44, G2, G7, and G34 were stable for GFeC. Similarly, G30, G5, G38, and G44 were stable for GZnC. Across traits, G44 (DDK 50422) was stable along with a high trait mean for all three traits. This could be one of the potential genetic resources for dissecting the molecular basis and also serve as an excellent donor for both biofortification traits along with grain yield in tetraploid dicoccum wheat. Dicoccum wheat (dpeaa)DE-He213 GGE (dpeaa)DE-He213 Grain iron (dpeaa)DE-He213 Grain zinc (dpeaa)DE-He213 Stability (dpeaa)DE-He213 Fyroj, U. verfasserin aut Desai, S. A. verfasserin aut Patil, Mahalaxmi K. verfasserin aut Krishnappa, Gopalareddy verfasserin aut Chethan, C. K. verfasserin aut Sudha, T. verfasserin aut Enthalten in Genetic resources and crop evolution Springer Netherlands, 1953 71(2023), 5 vom: 03. Nov., Seite 2281-2295 (DE-627)320529029 (DE-600)2015535-9 1573-5109 nnns volume:71 year:2023 number:5 day:03 month:11 pages:2281-2295 https://dx.doi.org/10.1007/s10722-023-01766-7 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_211 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_602 GBV_ILN_636 GBV_ILN_647 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_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_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 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_4035 GBV_ILN_4037 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_4393 GBV_ILN_4700 48.58 VZ 42.43 VZ AR 71 2023 5 03 11 2281-2295 |
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10.1007/s10722-023-01766-7 doi (DE-627)SPR055643035 (SPR)s10722-023-01766-7-e DE-627 ger DE-627 rakwb eng 580 VZ 48.58 bkl 42.43 bkl Biradar, Suma S. verfasserin aut GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environments during 2020–2021 for grain iron concentration (GFeC), grain zinc concentration (GZnC), and grain yield (GY). Considerable genetic variation was observed for all traits. The effect of environment per se was highest on the expression of GZnC followed by GFeC and GY. Genotype-environment interaction (GEI) for GFeC, GY, and GZnC accounted for 38.8%, 33.8%, and 28.6% of the total sum of squares, respectively. The positive and high correlation between grain micronutrients suggests a good prospect of simultaneous improvement of both nutrients. Trait-wise, G17, G56, G10, and G44 were found to be stable for GY, while G43, G45, G44, G2, G7, and G34 were stable for GFeC. Similarly, G30, G5, G38, and G44 were stable for GZnC. Across traits, G44 (DDK 50422) was stable along with a high trait mean for all three traits. This could be one of the potential genetic resources for dissecting the molecular basis and also serve as an excellent donor for both biofortification traits along with grain yield in tetraploid dicoccum wheat. Dicoccum wheat (dpeaa)DE-He213 GGE (dpeaa)DE-He213 Grain iron (dpeaa)DE-He213 Grain zinc (dpeaa)DE-He213 Stability (dpeaa)DE-He213 Fyroj, U. verfasserin aut Desai, S. A. verfasserin aut Patil, Mahalaxmi K. verfasserin aut Krishnappa, Gopalareddy verfasserin aut Chethan, C. K. verfasserin aut Sudha, T. verfasserin aut Enthalten in Genetic resources and crop evolution Springer Netherlands, 1953 71(2023), 5 vom: 03. Nov., Seite 2281-2295 (DE-627)320529029 (DE-600)2015535-9 1573-5109 nnns volume:71 year:2023 number:5 day:03 month:11 pages:2281-2295 https://dx.doi.org/10.1007/s10722-023-01766-7 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_211 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_602 GBV_ILN_636 GBV_ILN_647 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_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_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 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_4035 GBV_ILN_4037 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_4393 GBV_ILN_4700 48.58 VZ 42.43 VZ AR 71 2023 5 03 11 2281-2295 |
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10.1007/s10722-023-01766-7 doi (DE-627)SPR055643035 (SPR)s10722-023-01766-7-e DE-627 ger DE-627 rakwb eng 580 VZ 48.58 bkl 42.43 bkl Biradar, Suma S. verfasserin aut GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environments during 2020–2021 for grain iron concentration (GFeC), grain zinc concentration (GZnC), and grain yield (GY). Considerable genetic variation was observed for all traits. The effect of environment per se was highest on the expression of GZnC followed by GFeC and GY. Genotype-environment interaction (GEI) for GFeC, GY, and GZnC accounted for 38.8%, 33.8%, and 28.6% of the total sum of squares, respectively. The positive and high correlation between grain micronutrients suggests a good prospect of simultaneous improvement of both nutrients. Trait-wise, G17, G56, G10, and G44 were found to be stable for GY, while G43, G45, G44, G2, G7, and G34 were stable for GFeC. Similarly, G30, G5, G38, and G44 were stable for GZnC. Across traits, G44 (DDK 50422) was stable along with a high trait mean for all three traits. This could be one of the potential genetic resources for dissecting the molecular basis and also serve as an excellent donor for both biofortification traits along with grain yield in tetraploid dicoccum wheat. Dicoccum wheat (dpeaa)DE-He213 GGE (dpeaa)DE-He213 Grain iron (dpeaa)DE-He213 Grain zinc (dpeaa)DE-He213 Stability (dpeaa)DE-He213 Fyroj, U. verfasserin aut Desai, S. A. verfasserin aut Patil, Mahalaxmi K. verfasserin aut Krishnappa, Gopalareddy verfasserin aut Chethan, C. K. verfasserin aut Sudha, T. verfasserin aut Enthalten in Genetic resources and crop evolution Springer Netherlands, 1953 71(2023), 5 vom: 03. Nov., Seite 2281-2295 (DE-627)320529029 (DE-600)2015535-9 1573-5109 nnns volume:71 year:2023 number:5 day:03 month:11 pages:2281-2295 https://dx.doi.org/10.1007/s10722-023-01766-7 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_211 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_602 GBV_ILN_636 GBV_ILN_647 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_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_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 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_4035 GBV_ILN_4037 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_4393 GBV_ILN_4700 48.58 VZ 42.43 VZ AR 71 2023 5 03 11 2281-2295 |
allfieldsGer |
10.1007/s10722-023-01766-7 doi (DE-627)SPR055643035 (SPR)s10722-023-01766-7-e DE-627 ger DE-627 rakwb eng 580 VZ 48.58 bkl 42.43 bkl Biradar, Suma S. verfasserin aut GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environments during 2020–2021 for grain iron concentration (GFeC), grain zinc concentration (GZnC), and grain yield (GY). Considerable genetic variation was observed for all traits. The effect of environment per se was highest on the expression of GZnC followed by GFeC and GY. Genotype-environment interaction (GEI) for GFeC, GY, and GZnC accounted for 38.8%, 33.8%, and 28.6% of the total sum of squares, respectively. The positive and high correlation between grain micronutrients suggests a good prospect of simultaneous improvement of both nutrients. Trait-wise, G17, G56, G10, and G44 were found to be stable for GY, while G43, G45, G44, G2, G7, and G34 were stable for GFeC. Similarly, G30, G5, G38, and G44 were stable for GZnC. Across traits, G44 (DDK 50422) was stable along with a high trait mean for all three traits. This could be one of the potential genetic resources for dissecting the molecular basis and also serve as an excellent donor for both biofortification traits along with grain yield in tetraploid dicoccum wheat. Dicoccum wheat (dpeaa)DE-He213 GGE (dpeaa)DE-He213 Grain iron (dpeaa)DE-He213 Grain zinc (dpeaa)DE-He213 Stability (dpeaa)DE-He213 Fyroj, U. verfasserin aut Desai, S. A. verfasserin aut Patil, Mahalaxmi K. verfasserin aut Krishnappa, Gopalareddy verfasserin aut Chethan, C. K. verfasserin aut Sudha, T. verfasserin aut Enthalten in Genetic resources and crop evolution Springer Netherlands, 1953 71(2023), 5 vom: 03. Nov., Seite 2281-2295 (DE-627)320529029 (DE-600)2015535-9 1573-5109 nnns volume:71 year:2023 number:5 day:03 month:11 pages:2281-2295 https://dx.doi.org/10.1007/s10722-023-01766-7 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_211 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_602 GBV_ILN_636 GBV_ILN_647 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_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_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 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_4035 GBV_ILN_4037 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_4393 GBV_ILN_4700 48.58 VZ 42.43 VZ AR 71 2023 5 03 11 2281-2295 |
allfieldsSound |
10.1007/s10722-023-01766-7 doi (DE-627)SPR055643035 (SPR)s10722-023-01766-7-e DE-627 ger DE-627 rakwb eng 580 VZ 48.58 bkl 42.43 bkl Biradar, Suma S. verfasserin aut GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environments during 2020–2021 for grain iron concentration (GFeC), grain zinc concentration (GZnC), and grain yield (GY). Considerable genetic variation was observed for all traits. The effect of environment per se was highest on the expression of GZnC followed by GFeC and GY. Genotype-environment interaction (GEI) for GFeC, GY, and GZnC accounted for 38.8%, 33.8%, and 28.6% of the total sum of squares, respectively. The positive and high correlation between grain micronutrients suggests a good prospect of simultaneous improvement of both nutrients. Trait-wise, G17, G56, G10, and G44 were found to be stable for GY, while G43, G45, G44, G2, G7, and G34 were stable for GFeC. Similarly, G30, G5, G38, and G44 were stable for GZnC. Across traits, G44 (DDK 50422) was stable along with a high trait mean for all three traits. This could be one of the potential genetic resources for dissecting the molecular basis and also serve as an excellent donor for both biofortification traits along with grain yield in tetraploid dicoccum wheat. Dicoccum wheat (dpeaa)DE-He213 GGE (dpeaa)DE-He213 Grain iron (dpeaa)DE-He213 Grain zinc (dpeaa)DE-He213 Stability (dpeaa)DE-He213 Fyroj, U. verfasserin aut Desai, S. A. verfasserin aut Patil, Mahalaxmi K. verfasserin aut Krishnappa, Gopalareddy verfasserin aut Chethan, C. K. verfasserin aut Sudha, T. verfasserin aut Enthalten in Genetic resources and crop evolution Springer Netherlands, 1953 71(2023), 5 vom: 03. Nov., Seite 2281-2295 (DE-627)320529029 (DE-600)2015535-9 1573-5109 nnns volume:71 year:2023 number:5 day:03 month:11 pages:2281-2295 https://dx.doi.org/10.1007/s10722-023-01766-7 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_211 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_602 GBV_ILN_636 GBV_ILN_647 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_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_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 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_4035 GBV_ILN_4037 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_4393 GBV_ILN_4700 48.58 VZ 42.43 VZ AR 71 2023 5 03 11 2281-2295 |
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Enthalten in Genetic resources and crop evolution 71(2023), 5 vom: 03. Nov., Seite 2281-2295 volume:71 year:2023 number:5 day:03 month:11 pages:2281-2295 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environments during 2020–2021 for grain iron concentration (GFeC), grain zinc concentration (GZnC), and grain yield (GY). Considerable genetic variation was observed for all traits. The effect of environment per se was highest on the expression of GZnC followed by GFeC and GY. Genotype-environment interaction (GEI) for GFeC, GY, and GZnC accounted for 38.8%, 33.8%, and 28.6% of the total sum of squares, respectively. The positive and high correlation between grain micronutrients suggests a good prospect of simultaneous improvement of both nutrients. Trait-wise, G17, G56, G10, and G44 were found to be stable for GY, while G43, G45, G44, G2, G7, and G34 were stable for GFeC. Similarly, G30, G5, G38, and G44 were stable for GZnC. Across traits, G44 (DDK 50422) was stable along with a high trait mean for all three traits. 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|
author |
Biradar, Suma S. |
spellingShingle |
Biradar, Suma S. ddc 580 bkl 48.58 bkl 42.43 misc Dicoccum wheat misc GGE misc Grain iron misc Grain zinc misc Stability GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) |
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580 VZ 48.58 bkl 42.43 bkl GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) Dicoccum wheat (dpeaa)DE-He213 GGE (dpeaa)DE-He213 Grain iron (dpeaa)DE-He213 Grain zinc (dpeaa)DE-He213 Stability (dpeaa)DE-He213 |
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ddc 580 bkl 48.58 bkl 42.43 misc Dicoccum wheat misc GGE misc Grain iron misc Grain zinc misc Stability |
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ddc 580 bkl 48.58 bkl 42.43 misc Dicoccum wheat misc GGE misc Grain iron misc Grain zinc misc Stability |
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ddc 580 bkl 48.58 bkl 42.43 misc Dicoccum wheat misc GGE misc Grain iron misc Grain zinc misc Stability |
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GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) |
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GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) |
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Biradar, Suma S. |
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Genetic resources and crop evolution |
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Biradar, Suma S. Fyroj, U. Desai, S. A. Patil, Mahalaxmi K. Krishnappa, Gopalareddy Chethan, C. K. Sudha, T. |
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Biradar, Suma S. |
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gge biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (triticum turgidum ssp. dicoccum) |
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GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) |
abstract |
Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environments during 2020–2021 for grain iron concentration (GFeC), grain zinc concentration (GZnC), and grain yield (GY). Considerable genetic variation was observed for all traits. The effect of environment per se was highest on the expression of GZnC followed by GFeC and GY. Genotype-environment interaction (GEI) for GFeC, GY, and GZnC accounted for 38.8%, 33.8%, and 28.6% of the total sum of squares, respectively. The positive and high correlation between grain micronutrients suggests a good prospect of simultaneous improvement of both nutrients. Trait-wise, G17, G56, G10, and G44 were found to be stable for GY, while G43, G45, G44, G2, G7, and G34 were stable for GFeC. Similarly, G30, G5, G38, and G44 were stable for GZnC. Across traits, G44 (DDK 50422) was stable along with a high trait mean for all three traits. This could be one of the potential genetic resources for dissecting the molecular basis and also serve as an excellent donor for both biofortification traits along with grain yield in tetraploid dicoccum wheat. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstractGer |
Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environments during 2020–2021 for grain iron concentration (GFeC), grain zinc concentration (GZnC), and grain yield (GY). Considerable genetic variation was observed for all traits. The effect of environment per se was highest on the expression of GZnC followed by GFeC and GY. Genotype-environment interaction (GEI) for GFeC, GY, and GZnC accounted for 38.8%, 33.8%, and 28.6% of the total sum of squares, respectively. The positive and high correlation between grain micronutrients suggests a good prospect of simultaneous improvement of both nutrients. Trait-wise, G17, G56, G10, and G44 were found to be stable for GY, while G43, G45, G44, G2, G7, and G34 were stable for GFeC. Similarly, G30, G5, G38, and G44 were stable for GZnC. Across traits, G44 (DDK 50422) was stable along with a high trait mean for all three traits. This could be one of the potential genetic resources for dissecting the molecular basis and also serve as an excellent donor for both biofortification traits along with grain yield in tetraploid dicoccum wheat. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstract_unstemmed |
Abstract Landraces are reservoirs of many economically important traits and the study of biofortification traits in relation to grain yield will be useful in the better utilization of unexplored germplasm in wheat improvement. A set of 56 tetraploid genotypes were tested in three different environments during 2020–2021 for grain iron concentration (GFeC), grain zinc concentration (GZnC), and grain yield (GY). Considerable genetic variation was observed for all traits. The effect of environment per se was highest on the expression of GZnC followed by GFeC and GY. Genotype-environment interaction (GEI) for GFeC, GY, and GZnC accounted for 38.8%, 33.8%, and 28.6% of the total sum of squares, respectively. The positive and high correlation between grain micronutrients suggests a good prospect of simultaneous improvement of both nutrients. Trait-wise, G17, G56, G10, and G44 were found to be stable for GY, while G43, G45, G44, G2, G7, and G34 were stable for GFeC. Similarly, G30, G5, G38, and G44 were stable for GZnC. Across traits, G44 (DDK 50422) was stable along with a high trait mean for all three traits. This could be one of the potential genetic resources for dissecting the molecular basis and also serve as an excellent donor for both biofortification traits along with grain yield in tetraploid dicoccum wheat. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
collection_details |
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title_short |
GGE biplot analysis of biofortification traits in relation to grain yield in landraces of tetraploid wheat (Triticum turgidum ssp. dicoccum) |
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|
score |
7.4004354 |