Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes
The adaptive potential of plants is commonly used as an indicator of genotypes with higher breeding program potential. However, the complexity and interaction of plant metabolic parameters pose a challenge to selection strategies. In this context, this study aimed to explore phenotypic plasticity wi...
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| Format: | Article |
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MDPI AG
2023-11-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/12/23/4029 |
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| author | Cyntia Stephania dos Santos Ana Flavia de Freitas Glauber Henrique Barbosa da Silva João Paulo Pennacchi Milene Alves Figueiredo de Carvalho Meline de Oliveira Santos Tatiana Silveira Junqueira de Moraes Juliana Costa de Rezende Abrahão Antonio Alves Pereira Gladyston Rodrigues Carvalho Cesar Elias Botelho Vania Aparecida Silva |
| author_facet | Cyntia Stephania dos Santos Ana Flavia de Freitas Glauber Henrique Barbosa da Silva João Paulo Pennacchi Milene Alves Figueiredo de Carvalho Meline de Oliveira Santos Tatiana Silveira Junqueira de Moraes Juliana Costa de Rezende Abrahão Antonio Alves Pereira Gladyston Rodrigues Carvalho Cesar Elias Botelho Vania Aparecida Silva |
| author_sort | Cyntia Stephania dos Santos |
| collection | DOAJ |
| description | The adaptive potential of plants is commonly used as an indicator of genotypes with higher breeding program potential. However, the complexity and interaction of plant metabolic parameters pose a challenge to selection strategies. In this context, this study aimed to explore phenotypic plasticity within the germplasm of Hybrid Timor coffee. Additionally, we assessed the utility of the multivariate phenotypic plasticity index (MVPi) as a promising tool to predict genotype performance across diverse climatic conditions. To achieve this, we evaluated the performance of seven accessions from the Hybrid Timor germplasm in comparison to the Rubi and IPR 100 cultivars, known for their susceptibility and resistance to drought, respectively. The experiment took place in a greenhouse under two conditions: one with normal soil moisture levels near maximum capacity, and the other with a water deficit scenario involving a period of no irrigation followed by rehydration. Data on physiological and biochemical factors were collected at three stages: before applying the water deficit, during its imposition, and after rehydration. Growth data were obtained by the difference between the beginning and end of the experimental period Furthermore, field evaluations of the productivity of the same genotypes were carried out over two consecutive seasons. Based on physiological and biochemical assessments, the MVPi was computed, employing Euclidean distance between principal component multivariate analysis scores. Subsequently, this index was correlated with growth and productivity data through linear regressions. Our findings reveal that the plastic genotypes that are capable of significantly altering physiological and biochemical parameters in response to environmental stimuli exhibited reduced biomass loss in both aerial and root parts. As a result, this positively influenced their productivity. Enhanced plasticity was particularly prominent in accessions from the MG Germplasm Collection: MG 311—Hybrid Timor UFV 428-02, MG 270—Hybrid Timor UFV 377-21, and MG 279—Hybrid Timor UFV 376-31, alongside the Rubi MG 1192 cultivar. The MVPi emerged as a valuable instrument to assess genotype adaptability and predict their performance under varying climatic scenarios. |
| first_indexed | 2024-03-09T01:44:13Z |
| format | Article |
| id | doaj.art-991a05398df740ca8d4ffe201330928b |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-09T01:44:13Z |
| publishDate | 2023-11-01 |
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| series | Plants |
| spelling | doaj.art-991a05398df740ca8d4ffe201330928b2023-12-08T15:23:59ZengMDPI AGPlants2223-77472023-11-011223402910.3390/plants12234029Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee GenotypesCyntia Stephania dos Santos0Ana Flavia de Freitas1Glauber Henrique Barbosa da Silva2João Paulo Pennacchi3Milene Alves Figueiredo de Carvalho4Meline de Oliveira Santos5Tatiana Silveira Junqueira de Moraes6Juliana Costa de Rezende Abrahão7Antonio Alves Pereira8Gladyston Rodrigues Carvalho9Cesar Elias Botelho10Vania Aparecida Silva11Southern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilPitangui Institute of Agricultural Technology (Itap), Pitangui 36650-000, MG, BrazilDepartment of Food Science, Universidade Federal de Lavras, Lavras 37200-900, MG, BrazilDepartment of Biology, Universidade Federal de Lavras, Lavras 37200-900, MG, BrazilBrazilian Agricultural Research Corporation (Embrapa Cafe), Brasilia 70770-901, DF, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilSouthern Minas Regional Unit, Agricultural Research Corporation of Minas Gerais (Epamig), Lavras 37200-900, MG, BrazilThe adaptive potential of plants is commonly used as an indicator of genotypes with higher breeding program potential. However, the complexity and interaction of plant metabolic parameters pose a challenge to selection strategies. In this context, this study aimed to explore phenotypic plasticity within the germplasm of Hybrid Timor coffee. Additionally, we assessed the utility of the multivariate phenotypic plasticity index (MVPi) as a promising tool to predict genotype performance across diverse climatic conditions. To achieve this, we evaluated the performance of seven accessions from the Hybrid Timor germplasm in comparison to the Rubi and IPR 100 cultivars, known for their susceptibility and resistance to drought, respectively. The experiment took place in a greenhouse under two conditions: one with normal soil moisture levels near maximum capacity, and the other with a water deficit scenario involving a period of no irrigation followed by rehydration. Data on physiological and biochemical factors were collected at three stages: before applying the water deficit, during its imposition, and after rehydration. Growth data were obtained by the difference between the beginning and end of the experimental period Furthermore, field evaluations of the productivity of the same genotypes were carried out over two consecutive seasons. Based on physiological and biochemical assessments, the MVPi was computed, employing Euclidean distance between principal component multivariate analysis scores. Subsequently, this index was correlated with growth and productivity data through linear regressions. Our findings reveal that the plastic genotypes that are capable of significantly altering physiological and biochemical parameters in response to environmental stimuli exhibited reduced biomass loss in both aerial and root parts. As a result, this positively influenced their productivity. Enhanced plasticity was particularly prominent in accessions from the MG Germplasm Collection: MG 311—Hybrid Timor UFV 428-02, MG 270—Hybrid Timor UFV 377-21, and MG 279—Hybrid Timor UFV 376-31, alongside the Rubi MG 1192 cultivar. The MVPi emerged as a valuable instrument to assess genotype adaptability and predict their performance under varying climatic scenarios.https://www.mdpi.com/2223-7747/12/23/4029<i>Coffea arabica</i> L.phenotypic plasticitywater stressgenotypic selectionadaptive strategyphysiological breeding |
| spellingShingle | Cyntia Stephania dos Santos Ana Flavia de Freitas Glauber Henrique Barbosa da Silva João Paulo Pennacchi Milene Alves Figueiredo de Carvalho Meline de Oliveira Santos Tatiana Silveira Junqueira de Moraes Juliana Costa de Rezende Abrahão Antonio Alves Pereira Gladyston Rodrigues Carvalho Cesar Elias Botelho Vania Aparecida Silva Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes Plants <i>Coffea arabica</i> L. phenotypic plasticity water stress genotypic selection adaptive strategy physiological breeding |
| title | Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes |
| title_full | Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes |
| title_fullStr | Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes |
| title_full_unstemmed | Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes |
| title_short | Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes |
| title_sort | phenotypic plasticity index as a strategy for selecting water stress adapted coffee genotypes |
| topic | <i>Coffea arabica</i> L. phenotypic plasticity water stress genotypic selection adaptive strategy physiological breeding |
| url | https://www.mdpi.com/2223-7747/12/23/4029 |
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