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Andrade VT, Raposo FV, Carvalho GR, Ferreira AD, da Silva CA, de Oliveira Costa J, Botelho CE. Heterotic potential and combining ability of Coffea arabica L. Sci Rep 2025; 15:7974. [PMID: 40055414 PMCID: PMC11889267 DOI: 10.1038/s41598-025-91149-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Accepted: 02/18/2025] [Indexed: 05/13/2025] Open
Abstract
The use of hybrid vigor or heterosis in Coffea arabica L. cultivation has gradually been commercially explored worldwide since research has evolved in understanding this phenomenon and the vegetative propagation techniques or male-sterility making its use viable. Additionally, coffee producers adopting this technology have continuously increased. Therefore, we studied the existence and magnitude of heterosis and estimate the combining ability of parents in bi-parental crosses. The experiment was installed in 2019 using a randomized block design with three replications, with the experimental plot consisting of six plants. The experimental treatments consisted of 90 hybrids and 34 parental lines in which the grain yield in bags of processed coffee per hectare was evaluated according to the cumulative result of the first three harvests. Significant differences were observed between the 124 treatments, with the mean accumulated productivity values of the best hybrids surpassing those of the four most used commercial cultivars by more than 74 bags of coffee per hectare. The average yield mean heterosis was 64.2%, varying from - 26.1 to 184.4. Both the general combining ability (GCA) and the specific combining ability (SCA) were statistically significant, with the best-performing lines identified as potential parents being 'Acauã Novo', 'IAC 125 RN', 'MGS Liberdade', 'Catiguá MG2', and 'Sarchimor MG 8840'. Promising hybrids for commercial exploitation were identified with a productive advantage of 30% relative to the best commercial standard cultivar, reinforcing the potential of this technology for C. arabica L. cultivation future.
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Affiliation(s)
- Vinícius Teixeira Andrade
- Empresa de Pesquisa Agropecuária de Minas Gerais-EPAMIG, Av Doutor Sílvio Menicucci, S/N, Campus Da Universidade Federal de Lavras, 37.203-200, Lavras, MG, Brazil.
| | - Francislei Vitti Raposo
- Pesquisador Consorcio Pesquisa Café/EPAMIG, Embrapa Café, Parque Estação Biológica PqEB Avenida W3 Norte final Asa Norte, 70770-901, Brasilia, DF, Brazil
| | - Gladyston Rodrigues Carvalho
- Empresa de Pesquisa Agropecuária de Minas Gerais-EPAMIG, Av Doutor Sílvio Menicucci, S/N, Campus Da Universidade Federal de Lavras, 37.203-200, Lavras, MG, Brazil
| | - André Dominghetti Ferreira
- Empresa Brasileira de Pesquisa Agropecuária-EMBRAPA CAFÉ, Parque Estação Biológica PqEB Avenida W3 Norte final Asa Norte, 70770-901, Brasilia, DF, Brazil
| | - Cleidson Alves da Silva
- Empresa de Pesquisa Agropecuária de Minas Gerais-EPAMIG, Av Doutor Sílvio Menicucci, S/N, Campus Da Universidade Federal de Lavras, 37.203-200, Lavras, MG, Brazil
| | - Jéfferson de Oliveira Costa
- Empresa de Pesquisa Agropecuária de Minas Gerais-EPAMIG, Av Doutor Sílvio Menicucci, S/N, Campus Da Universidade Federal de Lavras, 37.203-200, Lavras, MG, Brazil
| | - César Elias Botelho
- Empresa de Pesquisa Agropecuária de Minas Gerais-EPAMIG, Av Doutor Sílvio Menicucci, S/N, Campus Da Universidade Federal de Lavras, 37.203-200, Lavras, MG, Brazil
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Salojärvi J, Rambani A, Yu Z, Guyot R, Strickler S, Lepelley M, Wang C, Rajaraman S, Rastas P, Zheng C, Muñoz DS, Meidanis J, Paschoal AR, Bawin Y, Krabbenhoft TJ, Wang ZQ, Fleck SJ, Aussel R, Bellanger L, Charpagne A, Fournier C, Kassam M, Lefebvre G, Métairon S, Moine D, Rigoreau M, Stolte J, Hamon P, Couturon E, Tranchant-Dubreuil C, Mukherjee M, Lan T, Engelhardt J, Stadler P, Correia De Lemos SM, Suzuki SI, Sumirat U, Wai CM, Dauchot N, Orozco-Arias S, Garavito A, Kiwuka C, Musoli P, Nalukenge A, Guichoux E, Reinout H, Smit M, Carretero-Paulet L, Filho OG, Braghini MT, Padilha L, Sera GH, Ruttink T, Henry R, Marraccini P, Van de Peer Y, Andrade A, Domingues D, Giuliano G, Mueller L, Pereira LF, Plaisance S, Poncet V, Rombauts S, Sankoff D, Albert VA, Crouzillat D, de Kochko A, Descombes P. The genome and population genomics of allopolyploid Coffea arabica reveal the diversification history of modern coffee cultivars. Nat Genet 2024; 56:721-731. [PMID: 38622339 PMCID: PMC11018527 DOI: 10.1038/s41588-024-01695-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 02/23/2024] [Indexed: 04/17/2024]
Abstract
Coffea arabica, an allotetraploid hybrid of Coffea eugenioides and Coffea canephora, is the source of approximately 60% of coffee products worldwide, and its cultivated accessions have undergone several population bottlenecks. We present chromosome-level assemblies of a di-haploid C. arabica accession and modern representatives of its diploid progenitors, C. eugenioides and C. canephora. The three species exhibit largely conserved genome structures between diploid parents and descendant subgenomes, with no obvious global subgenome dominance. We find evidence for a founding polyploidy event 350,000-610,000 years ago, followed by several pre-domestication bottlenecks, resulting in narrow genetic variation. A split between wild accessions and cultivar progenitors occurred ~30.5 thousand years ago, followed by a period of migration between the two populations. Analysis of modern varieties, including lines historically introgressed with C. canephora, highlights their breeding histories and loci that may contribute to pathogen resistance, laying the groundwork for future genomics-based breeding of C. arabica.
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Affiliation(s)
- Jarkko Salojärvi
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore.
| | - Aditi Rambani
- Boyce Thompson Institute, Cornell University, Ithaca, NY, USA
| | - Zhe Yu
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario, Canada
| | - Romain Guyot
- Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Colombia
| | - Susan Strickler
- Boyce Thompson Institute, Cornell University, Ithaca, NY, USA
| | - Maud Lepelley
- Société des Produits Nestlé SA, Nestlé Research, Tours, France
| | - Cui Wang
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Sitaram Rajaraman
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Pasi Rastas
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Chunfang Zheng
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario, Canada
| | - Daniella Santos Muñoz
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario, Canada
| | - João Meidanis
- Institute of Computing, University of Campinas, Campinas, Brazil
| | - Alexandre Rossi Paschoal
- Department of Computer Science, The Federal University of Technology - Paraná (UTFPR), Cornélio Procópio, Brazil
| | - Yves Bawin
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
| | | | - Zhen Qin Wang
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
| | - Steven J Fleck
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
| | - Rudy Aussel
- Société des Produits Nestlé SA, Nestlé Research, Tours, France
- Centre d'Immunologie de Marseille-Luminy, Aix Marseille Université, Marseille, France
| | | | - Aline Charpagne
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Coralie Fournier
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Mohamed Kassam
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Gregory Lefebvre
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Sylviane Métairon
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Déborah Moine
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Michel Rigoreau
- Société des Produits Nestlé SA, Nestlé Research, Tours, France
| | - Jens Stolte
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Perla Hamon
- Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France
| | - Emmanuel Couturon
- Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France
| | | | - Minakshi Mukherjee
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
| | - Tianying Lan
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
| | - Jan Engelhardt
- Department of Computer Science, University of Leipzig, Leipzig, Germany
| | - Peter Stadler
- Department of Computer Science, University of Leipzig, Leipzig, Germany
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
| | | | | | - Ucu Sumirat
- Indonesian Coffee and Cocoa Research Institute (ICCRI), Jember, Indonesia
| | - Ching Man Wai
- University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Nicolas Dauchot
- Research Unit in Plant Cellular and Molecular Biology, University of Namur, Namur, Belgium
| | - Simon Orozco-Arias
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Colombia
| | - Andrea Garavito
- Departamento de Ciencias Biológicas, Facultad de Ciencias Exactas y Naturales, Universidad de Caldas, Manizales, Colombia
| | - Catherine Kiwuka
- National Agricultural Research Organization (NARO), Entebbe, Uganda
| | - Pascal Musoli
- National Agricultural Research Organization (NARO), Entebbe, Uganda
| | - Anne Nalukenge
- National Agricultural Research Organization (NARO), Entebbe, Uganda
| | - Erwan Guichoux
- Biodiversité Gènes & Communautés, INRA, Bordeaux, France
| | | | - Martin Smit
- Hortus Botanicus Amsterdam, Amsterdam, the Netherlands
| | | | - Oliveiro Guerreiro Filho
- Instituto Agronômico (IAC) Centro de Café 'Alcides Carvalho', Fazenda Santa Elisa, Campinas, Brazil
| | - Masako Toma Braghini
- Instituto Agronômico (IAC) Centro de Café 'Alcides Carvalho', Fazenda Santa Elisa, Campinas, Brazil
| | - Lilian Padilha
- Embrapa Café/Instituto Agronômico (IAC) Centro de Café 'Alcides Carvalho', Fazenda Santa Elisa, Campinas, Brazil
| | | | - Tom Ruttink
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Queensland, Australia
| | - Pierre Marraccini
- CIRAD - UMR DIADE (IRD-CIRAD-Université de Montpellier) BP 64501, Montpellier, France
| | - Yves Van de Peer
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa
- College of Horticulture, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, China
- Center for Plant Systems Biology, VIB, Ghent, Belgium
| | - Alan Andrade
- Embrapa Café/Inovacafé Laboratory of Molecular Genetics Campus da UFLA-MG, Lavras, Brazil
| | - Douglas Domingues
- Group of Genomics and Transcriptomes in Plants, São Paulo State University, UNESP, Rio Claro, Brazil
| | - Giovanni Giuliano
- Italian National Agency for New Technologies, Energy and Sustainable Economic Development, ENEA Casaccia Research Center, Rome, Italy
| | - Lukas Mueller
- Boyce Thompson Institute, Cornell University, Ithaca, NY, USA
| | - Luiz Filipe Pereira
- Embrapa Café/Lab. Biotecnologia, Área de Melhoramento Genético, Londrina, Brazil
| | | | - Valerie Poncet
- Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France
| | - Stephane Rombauts
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- Center for Plant Systems Biology, VIB, Ghent, Belgium
| | - David Sankoff
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario, Canada
| | - Victor A Albert
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA.
| | | | - Alexandre de Kochko
- Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France.
| | - Patrick Descombes
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland.
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Dias CG, Martins FB, Martins MA. Climate risks and vulnerabilities of the Arabica coffee in Brazil under current and future climates considering new CMIP6 models. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:167753. [PMID: 37832692 DOI: 10.1016/j.scitotenv.2023.167753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/09/2023] [Accepted: 10/09/2023] [Indexed: 10/15/2023]
Abstract
The susceptibility to climate change concerns the coffee market worldwide due to possible severe productivity losses. Brazil is the world's largest Arabica coffee producer and has crops in regions considered persistent climate change hotspots. Our study analyzed risks, vulnerabilities, and susceptibilities to pests and diseases in these regions under current and future climates and outlined adaptive measures to reduce future vulnerabilities. Ten risk indicators based on Arabica coffee requirements were proposed: water supply (Iw), base (TIB) and maximum temperature stresses (TImax), which delimit the temperature range where Arabica coffee grows and productivity is penalized outside both ranges, frost stress (TIfrost), diseases such as rust (DIrust), brown eye spot (DIbrown), and Phoma leaf spot (DIphoma), pests such as coffee berry borer (PIberry), coffee leaf miner (PIminer), and yield loss due to water stress (Iyg). Daily near-surface air temperature (minimum, mean, and maximum), relative humidity, precipitation, and global solar radiation were used from 16 General Circulation Models (GCMs) from the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP), which are derived from the Coupled Model Intercomparison Project Phase 6 (CMIP6) in three Shared Socioeconomic Pathways scenarios (SSP245, SSP370 and SSP585). All risk indicators were calculated for the current climate (1995-2014) and projected for the near (2041-2060), intermediate (2061-2080), and far future (2081-2100) in three SSPs and then classified into five risk classes (very low, low, moderate, high and very high). Our results indicated that due to increases in TImax and Iyg indicators, with high to very high risk in area and magnitude, Arabica coffee plantations will be negatively affected and economically unfeasible for about 35 % to 75 % of the studied area throughout the 21st century. Furthermore, the rust and the leaf miner will remain a concern in future climates due to increased temperatures and reduced relative humidity. The future of Arabica coffee crops in Brazil will depend on adopting effective adaptive measures and prudent agricultural strategies to address anticipated risks, including shifting crops to higher altitude areas, introducing more climate-resilient coffee cultivars/varieties, using agroforestry or intercropping systems, planting in closer spacing or higher density planting, and employing dripper or partial root-zone irrigation techniques.
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Affiliation(s)
- Cássia Gabriele Dias
- Federal University of Itajubá - Natural Resource Institute, C.P. 50, 37500-903 Itajubá, MG, Brazil.
| | - Fabrina Bolzan Martins
- Federal University of Itajubá - Natural Resource Institute, C.P. 50, 37500-903 Itajubá, MG, Brazil.
| | - Minella Alves Martins
- National Institute for Space Research - Impacts, Adaptation and Vulnerability Division, C.P. 515, 12227-010 São José dos Campos, SP, Brazil.
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Rodrigues LMR, Andrade VT, Destéfano SAL, Braghini MT, Caixeta LB, Guerreiro-Filho O. Inheritance of Resistance to Bacterial Halo Blight and Bacterial Leaf Spot in Arabica Coffee. PLANT DISEASE 2023; 107:3810-3816. [PMID: 37624736 DOI: 10.1094/pdis-09-22-2282-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2023]
Abstract
Developing coffee cultivars resistant to multiple diseases by combining resistance genes is a top priority in breeding programs. To create cultivars resistant to diseases and nematodes, we transferred genes for resistance to bacterial infections caused by Pseudomonas coronafaciens pv. garcae, which causes bacterial halo blight (BHB), and P. amygdali pv. tabaci, which causes bacterial leaf spots (BLS), into Arabica coffee. Genetic analyses were conducted on breeding populations to estimate the number and function of genes that confer resistance to BHB and BLS. In total, 2,109 plants in the F2 generation and reciprocal backcrosses were inoculated with P. coronafaciens pv. garcae, while 1,996 plants were inoculated with P. amygdali pv. tabaci. Results showed that resistance to both pathogens had a heritability of 0.99, and the segregations of resistance indicated that each disease was controlled by a single dominant gene. The analyses also revealed that the resistance genes for BHB and BLS were linked, with an average distance of 10.75 cM between them on the same chromosome.
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Affiliation(s)
| | | | | | - Masako Toma Braghini
- Centro de Café Alcides Carvalho, Instituto Agronômico, CEP 13020-902, Campinas, SP, Brazil
| | - Larissa Brito Caixeta
- Centro de Café Alcides Carvalho, Instituto Agronômico, CEP 13020-902, Campinas, SP, Brazil
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Meter A, Penot E, Vaast P, Etienne H, Ponçon E, Bertrand B. "« Coffee agroforestry business-driven clusters »: an innovative social and environmental organisational model for coffee farm renovation. OPEN RESEARCH EUROPE 2023; 2:61. [PMID: 37645280 PMCID: PMC10445845 DOI: 10.12688/openreseurope.14570.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/10/2023] [Indexed: 08/31/2023]
Abstract
Background: Worldwide coffee production, especially Arabica coffee, is threatened by climatic change, plants diseases and vulnerability of smallholders. Meanwhile, consumers' demand for socially and environmentally sustainable products is steadily increasing, driving the engagement of stakeholders in agro-ecological and social initiatives. Here we present a new organizational model, the "Coffee agroforestry business-driven cluster" (CaFC), which aims at preserving ecosystems while offering producers a fair income. Based on an original local micro value-chain dedicated to sustainable production of high-quality Arabica coffee under agroforestry systems, the CaFC model stands out by addressing the issues around plantation renovation, a crucial process that requires considerable investments from producers. Methods: Based on a pilot project in Nicaragua, we illustrate how the operational principles of CaFC can be applied in a real setting. Using data shared by key stakeholders involved in the project, we assess the profitability of the CaFC model by comparing different scenarios and applying sensitivity analysis. We then reflect on the reproducibility of the model in other contexts, building on lessons learned from ongoing implementations in Vietnam and Cameroon. Results: For producers renovating their plantations, the CaFC model consistently outperforms other scenarios, offering high quality premiums coupled with capacity building, access to highly productive varieties that perform well under agroforestry systems and adapted credit with favourable repayment schemes. Implementation in Vietnam and Cameroon show that the model can be successfully replicated with some adaptation to local contexts. These cases also highlight the importance of mutual interests, trust and communication in enabling collaboration between stakeholders. Conclusions: The CaFC model has great potential for positive environmental and economic impact and offers strong incentives for stakeholders involved in its resulting micro value-chain. The concept was initially developed in Nicaragua for coffee but could also be adapted in other countries or even to other commodities such as cocoa.
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Affiliation(s)
- Andrew Meter
- Alliance of Bioversity International and CIAT, Rome, 00153, Italy
| | - Eric Penot
- UMR Innovation, CIRAD, Université de Montpellier, Montpellier, 34398, France
| | - Philippe Vaast
- UMR Eco & Sols, CIRAD, Université de Montpellier, Montpellier, France
| | - Hervé Etienne
- UMR DIADE, IRD, CIRAD, Université de Montpellier, Montpellier, France
- CIRAD, UMR DIADE, F-34398 Montpellier, France
| | | | - Benoit Bertrand
- UMR DIADE, IRD, CIRAD, Université de Montpellier, Montpellier, France
- CIRAD, UMR DIADE, F-34398 Montpellier, France
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