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Multi-Environment Evaluation and Genetic Characterisation of Common Bean Breeding Lines for Organic Farming Systems

Author

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  • Leonardo Caproni

    (Dipartimento di Scienze Agrarie, Alimentari e Ambientali (DSA3), Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy)

  • Lorenzo Raggi

    (Dipartimento di Scienze Agrarie, Alimentari e Ambientali (DSA3), Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy)

  • Carlo Tissi

    (Enza Zaden Italia Research, S.S. Aurelia Km 96, 710, Tarquinia, 01016 Viterbo, Italy)

  • Sally Howlett

    (N8 AgriFood, Department of Biology, University of York, Heslington, York YO10 5DD, UK)

  • Renzo Torricelli

    (Dipartimento di Scienze Agrarie, Alimentari e Ambientali (DSA3), Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy)

  • Valeria Negri

    (Dipartimento di Scienze Agrarie, Alimentari e Ambientali (DSA3), Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy)

Abstract

It is recognised that one of the main causes for the relative low yields under organic conditions is the use of modern cultivars which are bred for high-input management systems. The work described here aimed to study and test possible breeding strategies to produce cultivars of common bean for organic agriculture. To this purpose, crosses between a traditional Italian landrace named “Gnocchetto” and a cultivar were carried out. The F 1 plants obtained were either backcrossed or self-fertilised and the obtained materials subjected to selection for quality traits at different development stages. The resulting lines were tested under four different environmental conditions for three years in order to determine their potential performance. The resulting data were analysed using a Multi-Environment Trial Analysis (MET) approach and different visualisations of the GGE biplot were generated. Furthermore, to assess the level of genetic similarity, the lines were characterised using 25 Simple Sequence Repeat (SSR) molecular markers. Results showed that the breeding approach applied allowed to select lines with the same technological and agronomic characteristics as commercially available cultivars, but with different adaptation abilities that make them suitable for organic agriculture.

Suggested Citation

  • Leonardo Caproni & Lorenzo Raggi & Carlo Tissi & Sally Howlett & Renzo Torricelli & Valeria Negri, 2018. "Multi-Environment Evaluation and Genetic Characterisation of Common Bean Breeding Lines for Organic Farming Systems," Sustainability, MDPI, vol. 10(3), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:777-:d:135868
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    References listed on IDEAS

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    1. Santoshi Malla & Uttam Rosyara & Bibash Neupane & Birat Sapkota, 2021. "Feasibility Study Of Organic Vegetable Farming In Baitadi District," Food and Agri Economics Review (FAER), Zibeline International Publishing, vol. 1(2), pages 88-92, June.
    2. Agnieszka Szparaga & Maciej Kuboń & Sławomir Kocira & Ewa Czerwińska & Anna Pawłowska & Patryk Hara & Zbigniew Kobus & Dariusz Kwaśniewski, 2019. "Towards Sustainable Agriculture—Agronomic and Economic Effects of Biostimulant Use in Common Bean Cultivation," Sustainability, MDPI, vol. 11(17), pages 1-21, August.
    3. Leonardo Caproni & Lorenzo Raggi & Salvatore Ceccarelli & Valeria Negri & Andrea Carboni, 2019. "In-Depth Characterisation of Common Bean Diversity Discloses Its Breeding Potential for Sustainable Agriculture," Sustainability, MDPI, vol. 11(19), pages 1-20, October.
    4. Michal Šajgalík & Katarína Ondreičková & Pavol Hauptvogel & Daniel Mihálik & Miroslav Glasa & Ján Kraic, 2019. "Higher Effectiveness of New Common Bean ( Phaseolus vulgaris L.) Germplasm Acquisition by Collecting Expeditions Associated with Molecular Analyses," Sustainability, MDPI, vol. 11(19), pages 1-13, September.
    5. Camila Fritzen Cidón & Paola Schmitt Figueiró & Dusan Schreiber, 2021. "Benefits of Organic Agriculture under the Perspective of the Bioeconomy: A Systematic Review," Sustainability, MDPI, vol. 13(12), pages 1-19, June.

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