Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments
Abstract Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Akpertey, Abraham [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
Additive main effects and multiplicative interaction (AMMI) |
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| Anmerkung: |
© The Author(s), under exclusive licence to Korean Society of Crop Science (KSCS) 2022. Springer Nature or its licensor 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: Journal of crop science and biotechnology - Seoul : Korean Soc. of Crop Science, 2009, 26(2022), 2 vom: 04. Aug., Seite 179-197 |
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| Übergeordnetes Werk: |
volume:26 ; year:2022 ; number:2 ; day:04 ; month:08 ; pages:179-197 |
| Links: |
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| DOI / URN: |
10.1007/s12892-022-00171-3 |
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| Katalog-ID: |
SPR049299360 |
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| 520 | |a Abstract Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of genotype (G), environment (E), and genotype by environment (G × E) interaction on growth and yield traits of C. canephora genotypes, (2) identify superior genotypes that exhibit high stability by combining high growth and yield with broad or specific environmental adaptation, and (3) identify environments that best represent the target environment for high trait expression. Thirty-nine C. canephora hybrids were evaluated using a randomized-complete-block design with three replications at New Tafo-Akim and Bechem in the Eastern and Ahafo regions of Ghana, respectively. Additive main effect and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) differences among G, E, and G × E interaction effects for all traits. AMMI2 biplot analysis revealed the presence of 3, 2, 3, 2, and 3 mega environments for trunk cross-sectional area, height, span, number of laterals, and yield, respectively. Identifying mega environments for these traits will help expedite Robusta coffee breeding through the reduction of the number of test environments needed for phenotype evaluations. The AMMI analyses indicated genotypes G17 (E138 × C180), G35 (PA193 × C180), G4 (197 × PA413), G1 (149 × C193) and G30 (E152 × 149) have high and stable yields across all test environments. The promising candidate genotypes are recommended for further stability tests and release in Ghana or comparable environments. | ||
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| 700 | 1 | |a Nyadanu, Daniel |4 aut | |
| 700 | 1 | |a Ofori, Atta |4 aut | |
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10.1007/s12892-022-00171-3 doi (DE-627)SPR049299360 (SPR)s12892-022-00171-3-e DE-627 ger DE-627 rakwb eng Akpertey, Abraham verfasserin (orcid)0000-0003-0766-4558 aut Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Korean Society of Crop Science (KSCS) 2022. Springer Nature or its licensor 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 Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of genotype (G), environment (E), and genotype by environment (G × E) interaction on growth and yield traits of C. canephora genotypes, (2) identify superior genotypes that exhibit high stability by combining high growth and yield with broad or specific environmental adaptation, and (3) identify environments that best represent the target environment for high trait expression. Thirty-nine C. canephora hybrids were evaluated using a randomized-complete-block design with three replications at New Tafo-Akim and Bechem in the Eastern and Ahafo regions of Ghana, respectively. Additive main effect and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) differences among G, E, and G × E interaction effects for all traits. AMMI2 biplot analysis revealed the presence of 3, 2, 3, 2, and 3 mega environments for trunk cross-sectional area, height, span, number of laterals, and yield, respectively. Identifying mega environments for these traits will help expedite Robusta coffee breeding through the reduction of the number of test environments needed for phenotype evaluations. The AMMI analyses indicated genotypes G17 (E138 × C180), G35 (PA193 × C180), G4 (197 × PA413), G1 (149 × C193) and G30 (E152 × 149) have high and stable yields across all test environments. The promising candidate genotypes are recommended for further stability tests and release in Ghana or comparable environments. Additive main effects and multiplicative interaction (AMMI) (dpeaa)DE-He213 Genotype stability (dpeaa)DE-He213 Genotype by environment interaction (dpeaa)DE-He213 Yield (dpeaa)DE-He213 Anim-Kwapong, Esther aut Adu-Gyamfi, Paul Kwasi Krah aut Dadzie, Abu Mustapha aut Nyadanu, Daniel aut Ofori, Atta aut Enthalten in Journal of crop science and biotechnology Seoul : Korean Soc. of Crop Science, 2009 26(2022), 2 vom: 04. Aug., Seite 179-197 (DE-627)617512175 (DE-600)2534833-4 2005-8276 nnns volume:26 year:2022 number:2 day:04 month:08 pages:179-197 https://dx.doi.org/10.1007/s12892-022-00171-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_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_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_4393 GBV_ILN_4700 AR 26 2022 2 04 08 179-197 |
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10.1007/s12892-022-00171-3 doi (DE-627)SPR049299360 (SPR)s12892-022-00171-3-e DE-627 ger DE-627 rakwb eng Akpertey, Abraham verfasserin (orcid)0000-0003-0766-4558 aut Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Korean Society of Crop Science (KSCS) 2022. Springer Nature or its licensor 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 Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of genotype (G), environment (E), and genotype by environment (G × E) interaction on growth and yield traits of C. canephora genotypes, (2) identify superior genotypes that exhibit high stability by combining high growth and yield with broad or specific environmental adaptation, and (3) identify environments that best represent the target environment for high trait expression. Thirty-nine C. canephora hybrids were evaluated using a randomized-complete-block design with three replications at New Tafo-Akim and Bechem in the Eastern and Ahafo regions of Ghana, respectively. Additive main effect and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) differences among G, E, and G × E interaction effects for all traits. AMMI2 biplot analysis revealed the presence of 3, 2, 3, 2, and 3 mega environments for trunk cross-sectional area, height, span, number of laterals, and yield, respectively. Identifying mega environments for these traits will help expedite Robusta coffee breeding through the reduction of the number of test environments needed for phenotype evaluations. The AMMI analyses indicated genotypes G17 (E138 × C180), G35 (PA193 × C180), G4 (197 × PA413), G1 (149 × C193) and G30 (E152 × 149) have high and stable yields across all test environments. The promising candidate genotypes are recommended for further stability tests and release in Ghana or comparable environments. Additive main effects and multiplicative interaction (AMMI) (dpeaa)DE-He213 Genotype stability (dpeaa)DE-He213 Genotype by environment interaction (dpeaa)DE-He213 Yield (dpeaa)DE-He213 Anim-Kwapong, Esther aut Adu-Gyamfi, Paul Kwasi Krah aut Dadzie, Abu Mustapha aut Nyadanu, Daniel aut Ofori, Atta aut Enthalten in Journal of crop science and biotechnology Seoul : Korean Soc. of Crop Science, 2009 26(2022), 2 vom: 04. Aug., Seite 179-197 (DE-627)617512175 (DE-600)2534833-4 2005-8276 nnns volume:26 year:2022 number:2 day:04 month:08 pages:179-197 https://dx.doi.org/10.1007/s12892-022-00171-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_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_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_4393 GBV_ILN_4700 AR 26 2022 2 04 08 179-197 |
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10.1007/s12892-022-00171-3 doi (DE-627)SPR049299360 (SPR)s12892-022-00171-3-e DE-627 ger DE-627 rakwb eng Akpertey, Abraham verfasserin (orcid)0000-0003-0766-4558 aut Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Korean Society of Crop Science (KSCS) 2022. Springer Nature or its licensor 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 Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of genotype (G), environment (E), and genotype by environment (G × E) interaction on growth and yield traits of C. canephora genotypes, (2) identify superior genotypes that exhibit high stability by combining high growth and yield with broad or specific environmental adaptation, and (3) identify environments that best represent the target environment for high trait expression. Thirty-nine C. canephora hybrids were evaluated using a randomized-complete-block design with three replications at New Tafo-Akim and Bechem in the Eastern and Ahafo regions of Ghana, respectively. Additive main effect and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) differences among G, E, and G × E interaction effects for all traits. AMMI2 biplot analysis revealed the presence of 3, 2, 3, 2, and 3 mega environments for trunk cross-sectional area, height, span, number of laterals, and yield, respectively. Identifying mega environments for these traits will help expedite Robusta coffee breeding through the reduction of the number of test environments needed for phenotype evaluations. The AMMI analyses indicated genotypes G17 (E138 × C180), G35 (PA193 × C180), G4 (197 × PA413), G1 (149 × C193) and G30 (E152 × 149) have high and stable yields across all test environments. The promising candidate genotypes are recommended for further stability tests and release in Ghana or comparable environments. Additive main effects and multiplicative interaction (AMMI) (dpeaa)DE-He213 Genotype stability (dpeaa)DE-He213 Genotype by environment interaction (dpeaa)DE-He213 Yield (dpeaa)DE-He213 Anim-Kwapong, Esther aut Adu-Gyamfi, Paul Kwasi Krah aut Dadzie, Abu Mustapha aut Nyadanu, Daniel aut Ofori, Atta aut Enthalten in Journal of crop science and biotechnology Seoul : Korean Soc. of Crop Science, 2009 26(2022), 2 vom: 04. Aug., Seite 179-197 (DE-627)617512175 (DE-600)2534833-4 2005-8276 nnns volume:26 year:2022 number:2 day:04 month:08 pages:179-197 https://dx.doi.org/10.1007/s12892-022-00171-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_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_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_4393 GBV_ILN_4700 AR 26 2022 2 04 08 179-197 |
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10.1007/s12892-022-00171-3 doi (DE-627)SPR049299360 (SPR)s12892-022-00171-3-e DE-627 ger DE-627 rakwb eng Akpertey, Abraham verfasserin (orcid)0000-0003-0766-4558 aut Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Korean Society of Crop Science (KSCS) 2022. Springer Nature or its licensor 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 Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of genotype (G), environment (E), and genotype by environment (G × E) interaction on growth and yield traits of C. canephora genotypes, (2) identify superior genotypes that exhibit high stability by combining high growth and yield with broad or specific environmental adaptation, and (3) identify environments that best represent the target environment for high trait expression. Thirty-nine C. canephora hybrids were evaluated using a randomized-complete-block design with three replications at New Tafo-Akim and Bechem in the Eastern and Ahafo regions of Ghana, respectively. Additive main effect and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) differences among G, E, and G × E interaction effects for all traits. AMMI2 biplot analysis revealed the presence of 3, 2, 3, 2, and 3 mega environments for trunk cross-sectional area, height, span, number of laterals, and yield, respectively. Identifying mega environments for these traits will help expedite Robusta coffee breeding through the reduction of the number of test environments needed for phenotype evaluations. The AMMI analyses indicated genotypes G17 (E138 × C180), G35 (PA193 × C180), G4 (197 × PA413), G1 (149 × C193) and G30 (E152 × 149) have high and stable yields across all test environments. The promising candidate genotypes are recommended for further stability tests and release in Ghana or comparable environments. Additive main effects and multiplicative interaction (AMMI) (dpeaa)DE-He213 Genotype stability (dpeaa)DE-He213 Genotype by environment interaction (dpeaa)DE-He213 Yield (dpeaa)DE-He213 Anim-Kwapong, Esther aut Adu-Gyamfi, Paul Kwasi Krah aut Dadzie, Abu Mustapha aut Nyadanu, Daniel aut Ofori, Atta aut Enthalten in Journal of crop science and biotechnology Seoul : Korean Soc. of Crop Science, 2009 26(2022), 2 vom: 04. Aug., Seite 179-197 (DE-627)617512175 (DE-600)2534833-4 2005-8276 nnns volume:26 year:2022 number:2 day:04 month:08 pages:179-197 https://dx.doi.org/10.1007/s12892-022-00171-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_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_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_4393 GBV_ILN_4700 AR 26 2022 2 04 08 179-197 |
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10.1007/s12892-022-00171-3 doi (DE-627)SPR049299360 (SPR)s12892-022-00171-3-e DE-627 ger DE-627 rakwb eng Akpertey, Abraham verfasserin (orcid)0000-0003-0766-4558 aut Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Korean Society of Crop Science (KSCS) 2022. Springer Nature or its licensor 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 Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of genotype (G), environment (E), and genotype by environment (G × E) interaction on growth and yield traits of C. canephora genotypes, (2) identify superior genotypes that exhibit high stability by combining high growth and yield with broad or specific environmental adaptation, and (3) identify environments that best represent the target environment for high trait expression. Thirty-nine C. canephora hybrids were evaluated using a randomized-complete-block design with three replications at New Tafo-Akim and Bechem in the Eastern and Ahafo regions of Ghana, respectively. Additive main effect and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) differences among G, E, and G × E interaction effects for all traits. AMMI2 biplot analysis revealed the presence of 3, 2, 3, 2, and 3 mega environments for trunk cross-sectional area, height, span, number of laterals, and yield, respectively. Identifying mega environments for these traits will help expedite Robusta coffee breeding through the reduction of the number of test environments needed for phenotype evaluations. The AMMI analyses indicated genotypes G17 (E138 × C180), G35 (PA193 × C180), G4 (197 × PA413), G1 (149 × C193) and G30 (E152 × 149) have high and stable yields across all test environments. The promising candidate genotypes are recommended for further stability tests and release in Ghana or comparable environments. Additive main effects and multiplicative interaction (AMMI) (dpeaa)DE-He213 Genotype stability (dpeaa)DE-He213 Genotype by environment interaction (dpeaa)DE-He213 Yield (dpeaa)DE-He213 Anim-Kwapong, Esther aut Adu-Gyamfi, Paul Kwasi Krah aut Dadzie, Abu Mustapha aut Nyadanu, Daniel aut Ofori, Atta aut Enthalten in Journal of crop science and biotechnology Seoul : Korean Soc. of Crop Science, 2009 26(2022), 2 vom: 04. Aug., Seite 179-197 (DE-627)617512175 (DE-600)2534833-4 2005-8276 nnns volume:26 year:2022 number:2 day:04 month:08 pages:179-197 https://dx.doi.org/10.1007/s12892-022-00171-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A 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_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_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_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_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_4393 GBV_ILN_4700 AR 26 2022 2 04 08 179-197 |
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Springer Nature or its licensor 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 Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of genotype (G), environment (E), and genotype by environment (G × E) interaction on growth and yield traits of C. canephora genotypes, (2) identify superior genotypes that exhibit high stability by combining high growth and yield with broad or specific environmental adaptation, and (3) identify environments that best represent the target environment for high trait expression. Thirty-nine C. canephora hybrids were evaluated using a randomized-complete-block design with three replications at New Tafo-Akim and Bechem in the Eastern and Ahafo regions of Ghana, respectively. Additive main effect and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) differences among G, E, and G × E interaction effects for all traits. AMMI2 biplot analysis revealed the presence of 3, 2, 3, 2, and 3 mega environments for trunk cross-sectional area, height, span, number of laterals, and yield, respectively. Identifying mega environments for these traits will help expedite Robusta coffee breeding through the reduction of the number of test environments needed for phenotype evaluations. The AMMI analyses indicated genotypes G17 (E138 × C180), G35 (PA193 × C180), G4 (197 × PA413), G1 (149 × C193) and G30 (E152 × 149) have high and stable yields across all test environments. 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Akpertey, Abraham |
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Akpertey, Abraham misc Additive main effects and multiplicative interaction (AMMI) misc Genotype stability misc Genotype by environment interaction misc Yield Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments |
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Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments Additive main effects and multiplicative interaction (AMMI) (dpeaa)DE-He213 Genotype stability (dpeaa)DE-He213 Genotype by environment interaction (dpeaa)DE-He213 Yield (dpeaa)DE-He213 |
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misc Additive main effects and multiplicative interaction (AMMI) misc Genotype stability misc Genotype by environment interaction misc Yield |
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Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments |
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exploring genotype × environment interaction in robusta coffee for growth and yield stability under tropical environments |
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Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments |
| abstract |
Abstract Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of genotype (G), environment (E), and genotype by environment (G × E) interaction on growth and yield traits of C. canephora genotypes, (2) identify superior genotypes that exhibit high stability by combining high growth and yield with broad or specific environmental adaptation, and (3) identify environments that best represent the target environment for high trait expression. Thirty-nine C. canephora hybrids were evaluated using a randomized-complete-block design with three replications at New Tafo-Akim and Bechem in the Eastern and Ahafo regions of Ghana, respectively. Additive main effect and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) differences among G, E, and G × E interaction effects for all traits. AMMI2 biplot analysis revealed the presence of 3, 2, 3, 2, and 3 mega environments for trunk cross-sectional area, height, span, number of laterals, and yield, respectively. Identifying mega environments for these traits will help expedite Robusta coffee breeding through the reduction of the number of test environments needed for phenotype evaluations. The AMMI analyses indicated genotypes G17 (E138 × C180), G35 (PA193 × C180), G4 (197 × PA413), G1 (149 × C193) and G30 (E152 × 149) have high and stable yields across all test environments. The promising candidate genotypes are recommended for further stability tests and release in Ghana or comparable environments. © The Author(s), under exclusive licence to Korean Society of Crop Science (KSCS) 2022. Springer Nature or its licensor 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 Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of genotype (G), environment (E), and genotype by environment (G × E) interaction on growth and yield traits of C. canephora genotypes, (2) identify superior genotypes that exhibit high stability by combining high growth and yield with broad or specific environmental adaptation, and (3) identify environments that best represent the target environment for high trait expression. Thirty-nine C. canephora hybrids were evaluated using a randomized-complete-block design with three replications at New Tafo-Akim and Bechem in the Eastern and Ahafo regions of Ghana, respectively. Additive main effect and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) differences among G, E, and G × E interaction effects for all traits. AMMI2 biplot analysis revealed the presence of 3, 2, 3, 2, and 3 mega environments for trunk cross-sectional area, height, span, number of laterals, and yield, respectively. Identifying mega environments for these traits will help expedite Robusta coffee breeding through the reduction of the number of test environments needed for phenotype evaluations. The AMMI analyses indicated genotypes G17 (E138 × C180), G35 (PA193 × C180), G4 (197 × PA413), G1 (149 × C193) and G30 (E152 × 149) have high and stable yields across all test environments. The promising candidate genotypes are recommended for further stability tests and release in Ghana or comparable environments. © The Author(s), under exclusive licence to Korean Society of Crop Science (KSCS) 2022. Springer Nature or its licensor 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 Agronomic performance of Robusta coffee (Coffea canephora) is affected by genotype by environment interaction, which demands multi-environment testing of genotypes to identify superior genotypes. The objectives of this study were to (1) estimate genetic parameters and analyze the effects of genotype (G), environment (E), and genotype by environment (G × E) interaction on growth and yield traits of C. canephora genotypes, (2) identify superior genotypes that exhibit high stability by combining high growth and yield with broad or specific environmental adaptation, and (3) identify environments that best represent the target environment for high trait expression. Thirty-nine C. canephora hybrids were evaluated using a randomized-complete-block design with three replications at New Tafo-Akim and Bechem in the Eastern and Ahafo regions of Ghana, respectively. Additive main effect and multiplicative interaction (AMMI) analysis of variance revealed highly significant (p < 0.001) differences among G, E, and G × E interaction effects for all traits. AMMI2 biplot analysis revealed the presence of 3, 2, 3, 2, and 3 mega environments for trunk cross-sectional area, height, span, number of laterals, and yield, respectively. Identifying mega environments for these traits will help expedite Robusta coffee breeding through the reduction of the number of test environments needed for phenotype evaluations. The AMMI analyses indicated genotypes G17 (E138 × C180), G35 (PA193 × C180), G4 (197 × PA413), G1 (149 × C193) and G30 (E152 × 149) have high and stable yields across all test environments. The promising candidate genotypes are recommended for further stability tests and release in Ghana or comparable environments. © The Author(s), under exclusive licence to Korean Society of Crop Science (KSCS) 2022. Springer Nature or its licensor 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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| title_short |
Exploring genotype × environment interaction in Robusta coffee for growth and yield stability under tropical environments |
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https://dx.doi.org/10.1007/s12892-022-00171-3 |
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Anim-Kwapong, Esther Adu-Gyamfi, Paul Kwasi Krah Dadzie, Abu Mustapha Nyadanu, Daniel Ofori, Atta |
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Anim-Kwapong, Esther Adu-Gyamfi, Paul Kwasi Krah Dadzie, Abu Mustapha Nyadanu, Daniel Ofori, Atta |
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10.1007/s12892-022-00171-3 |
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| score |
7.3985567 |