dos Santos, C.S.; de Freitas, A.F.; da Silva, G.H.B.; Pennacchi, J.P.; Figueiredo de Carvalho, M.A.; Santos, M.O.; Junqueira de Moraes, T.S.; de Rezende Abrahão, J.C.; Pereira, A.A.; Carvalho, G.R.; Botelho, C.E.; Silva, V.A. Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes. Plants2023, 12, 4029.
dos Santos, C.S.; de Freitas, A.F.; da Silva, G.H.B.; Pennacchi, J.P.; Figueiredo de Carvalho, M.A.; Santos, M.O.; Junqueira de Moraes, T.S.; de Rezende Abrahão, J.C.; Pereira, A.A.; Carvalho, G.R.; Botelho, C.E.; Silva, V.A. Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes. Plants 2023, 12, 4029.
dos Santos, C.S.; de Freitas, A.F.; da Silva, G.H.B.; Pennacchi, J.P.; Figueiredo de Carvalho, M.A.; Santos, M.O.; Junqueira de Moraes, T.S.; de Rezende Abrahão, J.C.; Pereira, A.A.; Carvalho, G.R.; Botelho, C.E.; Silva, V.A. Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes. Plants2023, 12, 4029.
dos Santos, C.S.; de Freitas, A.F.; da Silva, G.H.B.; Pennacchi, J.P.; Figueiredo de Carvalho, M.A.; Santos, M.O.; Junqueira de Moraes, T.S.; de Rezende Abrahão, J.C.; Pereira, A.A.; Carvalho, G.R.; Botelho, C.E.; Silva, V.A. Phenotypic Plasticity Index as a Strategy for Selecting Water-Stress-Adapted Coffee Genotypes. Plants 2023, 12, 4029.
Abstract
Plants exhibit the capacity for adaptation through their metabolic processes to various changes in environmental conditions. Investigating these adaptations in current and future climatic scenarios is of great importance for ensuring productive agricultural crops. This adaptative potential is commonly employed as an indicator of genotypes with higher potential in breeding programs. However, the complexity and interaction of plant metabolic parameters pose a challenge to selection strategies. In this context, the aim of this study was to explore phenotypic plasticity within the germplasm of Hybrid Timor coffee. Additionally, we assessed the utility of the 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 was conducted at greenhouse conditions, with two treatments: a control scenario, maintaining soil moisture near its maximum water-holding capacity, and a water deficit scenario involving irrigation cessation followed by rehydration. Data encompassing physiological, biochemical, and growth aspects were collected during three distinct stages: pre-application of water deficit, its imposition, and subsequent rehydration. 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 more plastic genotypes, capable of significantly altering physiological and biochemical parameters in response to environmental stimuli, exhibited reduced biomass loss in both aerial and root parts, consequently positively influencing 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.
Biology and Life Sciences, Agricultural Science and Agronomy
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