Título:	Leaf-scale phenotypic plasticity of Coffea arabica progenies under seasonal variation in water availability.
Autoria:	SILVA, E. A. da SANTOS, C. S. dos MATOS, N. M. S. de PENNACCHI, J. P. ABRAHÃO, J. C. de R. CARVALHO, M. A. de F. TAVARES, M. C. dos S. CARVALHO, S. P. de GUIMARÃES, R. J.
Afiliação:	ELISÂNGELA APARECIDA DA SILVA, UNIVERSIDADE DO ESTADO DE MINAS GERAIS; CYNTIA STEPHÂNIA DOS SANTOS, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; NÁGLA MARIA SAMPAIO DE MATOS, UNIVERSIDADE FEDERAL DE LAVRAS; JOÃO PAULO PENNACCHI, UNIVERSIDADE FEDERAL DE LAVRAS; JULIANA COSTA DE REZENDE ABRAHÃO, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; MILENE ALVES DE FIGUEIREDO CARVALHO, CNPCA; MARIA CLARA DOS SANTOS TAVARES, UNIVERSIDADE FEDERAL DE LAVRAS; SAMUEL PEREIRA DE CARVALHO, UNIVERSIDADE FEDERAL DE LAVRAS; RUBENS JOSÉ GUIMARÃES, UNIVERSIDADE FEDERAL DE LAVRAS.
Ano de publicação:	2026
Referência:	Bragantia, v. 85, e20250157, 2026.
Conteúdo:	Abstract: Climate variability poses major challenges to coffee production, particularly due to the increasing frequency and intensity of drought events. Understanding the physiological acclimation capacity of Coffea arabica genotypes to water deficit is critical for developing resilient cultivars. We hypothesized that progenies with higher multivariate phenotypic plasticity index (MVPi) values would exhibit coordinated morphophysiological traits associated with greater acclimation capacity to seasonal water availability. This study aimed to quantify leaf-scale phenotypic plasticity in 16 C. arabica progenies derived from a plant selected for its large leaves and fruits, which originated from a natural mutation of the Acaiá cultivar. Physiological, anatomical, and biochemical traits were assessed during the dry and rainy seasons, and plasticity was quantified using the MVPi. Principal component analysis revealed substantial variation in plastic responses among genotypes, with M11, L30, and L16 exhibiting the highest MVPi values. These genotypes showed coordinated adjustments in water use efficiency, chlorophyll content, and leaf tissue structure. Although MVPi proved effective in integrating multidimensional trait variation, its interpretation requires caution, as higher plasticity does not necessarily indicate an adaptive advantage. These findings support the integration of multivariate plasticity analysis into breeding programs as a strategy to identify genotypes with superior acclimation potential under water-limited conditions.
Thesagro:	Aclimatação Seca Anatomia Vegetal Folha Coffea Arábica Progênie
NAL Thesaurus:	Acclimation Drought Multivariate analysis Phenotypic plasticity
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (SAPC)