Robust and smart: Inference on phenotypic plasticity of Coffea canephora reveals adaptation to alternative environments

Author:

Ferrão Maria Amélia G.12,Riva‐Souza Elaine M.2,Azevedo Camila3,Volpi Paulo S.2,Fonseca Aymbiré F. A.12,Ferrão Romario G.24,Montagnon Christopher5,Ferrão Luis Felipe V.3ORCID

Affiliation:

1. Empresa Brasileira de Pesquisa Agropecuária—Embrapa Café Brasília Brazil

2. Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural—Incaper Vitoria Espírito Santo Brazil

3. Blueberry Breeding and Genomics Lab, Horticultural Sciences Department University of Florida Gainesville Florida USA

4. Multivix Group Vitoria Espírito Santo Brazil

5. RD2vision Montpellier France

Abstract

AbstractCoffee is an important crop with economic and social importance in several countries. With a daily consumption estimated at 2.2 billion cups, its sustainability is facing critical challenges given the projected climate changes. Coffea arabica, which represents ∼60% of the global market coffee is a delicate crop, quite susceptible to diseases and biotic stresses. Developing climate‐resilience cultivars is necessary, and it includes coffee plants adapted to new farming conditions that can meet the demand for biotic and abiotic tolerance and quality. In this context, Coffea canephora emerges as a potential candidate if the crop combines plasticity and cupping quality. Plant plasticity refers to adjusted phenotypic performance when grown in different environments, a fact that may help mitigate the detrimental effect of climate changes. In this study, using a multiple environment trial, we combined genomic and genotype‐by‐environment analyses to answer the following main question: How the climate effects may affect the phenotypic plasticity in C. canephora? Our contributions in this paper are fourfold: (i) we draw attention to the cupping quality and yield performance of C. canephora cultivars when evaluated in high‐altitude and cold weather, (ii) we compared C. arabica and C. canephora phenotypic plasticity and highlight genotypes with broad and specific adaptation to certain environmental conditions, and finally, (iii) using stochastic simulation, we emphasize the potential of molecular breeding in the long term in coffee. Altogether, we present an emerging view on how C. canephora could be a valid alternative for climate‐smart cultivars in a projected scenario of altered climatic conditions.

Publisher

Wiley

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