Breeding Coffee (Coffea arabica) for Sustainable Production

Lebailly, Philippe; Bertrand, Benoît; Etienne, Hervé

doi:10.1007/978-0-387-71201-7_14

Cited by 11 publications

(12 citation statements)

References 44 publications

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“…Traditional genetic breeding strategies for coffee mainly include traditional clones selection, generational selection, selection of pure lines following generational selection, generation of F1 hybrids, interspecific and intraspecific hybridization and selection by backcrossing. The best strategy is chosen according to the behavior of the coffee species, the aim of breeding (disease resistance, quality, yield) and the kind of variety (clone, pure line or variety, hybrid) [5,6,7]. Coffee is a perennial plant, and the first harvest is possible after 3.5 to 5 years.…”

Section: Introductionmentioning

confidence: 99%

Metabolomic Markers for the Early Selection of Coffea canephora Plants with Desirable Cup Quality Traits

et al. 2019

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Genetic improvement of coffee plants represents a great challenge for breeders. Conventional breeding takes a too long time for responding timely to market demands, climatic variations and new biological threads. The correlation of genetic markers with the plant phenotype and final product quality is usually poor. Additionally, the creation and use of genetically modified organisms (GMOs) are often legally restricted and rejected by customers that demand natural products. Therefore, we developed a non-targeted metabolomics approach to accelerate conventional breeding. Our main idea was to identify highly heritable metabolites in Coffea canephora seedlings, which are linked to coffee cup quality. We employed a maternal half-sibs approach to estimate the metabolites heritability in open-pollinated plants in both leaves and fruits at an early plant development stage. We evaluated the cup quality of roasted beans and correlated highly heritable metabolites with sensory quality traits of the coffee beverage. Our results provide new insights about the heritability of metabolites of C. canephora plants. Furthermore, we found strong correlations between highly heritable metabolites and sensory traits of coffee beverage. We revealed metabolites that serve as predictive metabolite markers at an early development stage of coffee plants. Informed decisions can be made on plants of six months old, compared to 3.5 to 5 years using conventional selection methods. The metabolome-wide association study (MWAS) drastically accelerates the selection of C. canephora plants with desirable characteristics and represents a novel approach for the focused breeding of crops.

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Section: Introductionmentioning

confidence: 99%

Metabolomic Markers for the Early Selection of Coffea canephora Plants with Desirable Cup Quality Traits

et al. 2019

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“…First, we had to use data from different types of studies (surveys and trials), regions and conditions to develop the suitability functions, but assumed that the information appropriately represents the process under study (Rodríguez et al, 2011;van Oijen et al, 2010). Second, the literature largely refers to only Coffea arabica L. and ignores varietal differences (Bertrand et al, 2011;Philippe et al, 2009). Thus, we also excluded varietal differences from our model.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, the use of farming practices like agroforestry systems and better adapted genetic material have permitted farmers to extend coffee production to sites with a lower suitability ranking (Lopez-Rodriguez et al, 2015;Muschler, 2001;Philippe et al, 2009).…”

Section: Model Validationmentioning

confidence: 99%

Modeling land suitability for Coffea arabica L. in Central America

Lara-Estrada

Rasche

Schneider

2017

Environmental Modelling & Software

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Agricultural planning processes at the farm to national level are essential for assessing and reacting to land conditions, opportunities, and threats for coffee production. However, the lack or uncertainty of information is common during these processes. Bayesian networks can be used to manage these uncertainties. We, therefore, developed the first Bayesian network model for an Agroecological Land Evaluation for Coffea arabica L. (ALECA). A newly developed set of suitability functions was used to populate the nodes in the network. ALECA was then adjusted and validated in Central America. The results show that even without the use of coffee maps as input, ALECA accurately scores the suitability of actual coffee areas for coffee production as higher than that non-coffee areas, and can accurately predict the known order of quality of coffee reference zones in Central America. The results also show that ALECA can be used as a decision-support tool even under data uncertainty.

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“…Coffee is one of the world's most important beverage crops and a valuable agricultural export commodity; it is the second-most commonly traded commodity in the world, after oil [11]. Arabica coffee represents 70% of the world's coffee production [12]. It is cultivated in over 80 countries and covers over 10.2 million hectares of land in the tropical and subtropical regions of the world, particularly in Africa, Asia, and Latin America [13].…”

Section: Introductionmentioning

confidence: 99%

Coffee (Coffea arabica L.): Methods, Objectives, and Future Strategies of Breeding in Ethiopia—Review

Melese

Kolech

2021

Sustainability

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Coffea arabica L. belongs to the Rubiaceae family, and the genus Coffea is believed to have a primary center of origin and genetic variability in the highlands of southwestern Ethiopia. It is a vital beverage commodity across the world and a valuable export product, ranking second in international trade after petroleum. Ethiopia is among the top five major coffee-producing countries and is Africa’s leading producer. However, its full production capacity has not yet been exploited, and research efforts to reduce biotic and abiotic factors through reproduction have been extremely limited. Hence, improvement through different breeding methods is essential to overcome the constraints in its production. Thus, the objective of this study is to review the different breeding methods applied for different traits in Ethiopia. Breeding methods depend on the type and the source of traits and the final breeding objectives. The main breeding objectives are production, resistance/tolerance to diseases, and cup quality. The commonly applied breeding methods are selected and intra-specific hybridization, germplasm enhancement, and the development of improved varieties with wider adaptability. There is also a practice of crossing parental lines selected for certain desirable traits for the development of hybrid varieties. Accordingly, some promising success has been obtained. Forty-one coffee varieties have been released so far. Because conventional breeding methods are time-consuming, integrating conventional breeding methods with biotechnological techniques could have an instrumental role in the rapid development of suitable varieties for the changing climate.

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Breeding Coffee (Coffea arabica) for Sustainable Production

Cited by 11 publications

References 44 publications

Metabolomic Markers for the Early Selection of Coffea canephora Plants with Desirable Cup Quality Traits

Metabolomic Markers for the Early Selection of Coffea canephora Plants with Desirable Cup Quality Traits

Modeling land suitability for Coffea arabica L. in Central America

Coffee (Coffea arabica L.): Methods, Objectives, and Future Strategies of Breeding in Ethiopia—Review

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