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Vol. 18 No. 3 (2024)
In press / En imprenta

Vegetable section

Agronomic evaluation and participatory selection of 64 Faba bean (Vicia faba L.) genotypes in Nariño-Colombia

https://doi.org/10.17584/rcch.2024v18i3.17990

Published 2024-09-01

  • Carlos Betancourth-García
    • ,
  • Claudia Salazar-González
    • ,
  • Julio Herrera-Revelo
    • ,
  • Jhon Danilo Morales-López
    • ,
  • Benjamin Sañudo-Sotelo
    • ,
  • David Eduardo Álvarez-Sánchez

Carlos Betancourth-García
Universidad de Nariño, Facultad de Ciencias Agrícolas, Departamento de Producción y Sanidad Vegetal, San Juan de Pasto (Colombia)

Claudia Salazar-González
Universidad de Nariño, Facultad de Ciencias Agrícolas, Departamento de Producción y Sanidad Vegetal, San Juan de Pasto (Colombia)

Julio Herrera-Revelo
Universidad de Nariño, Facultad de Ciencias Agrícolas, Departamento de Producción y Sanidad Vegetal, San Juan de Pasto (Colombia)

Jhon Danilo Morales-López
Universidad de Nariño, Facultad de Ciencias Agrícolas, Departamento de Producción y Sanidad Vegetal, San Juan de Pasto (Colombia)

Benjamin Sañudo-Sotelo
Universidad de Nariño, Facultad de Ciencias Agrícolas, Departamento de Producción y Sanidad Vegetal, San Juan de Pasto (Colombia)

David Eduardo Álvarez-Sánchez
Corporación Colombiana de Investigación Agropecuaria – AGROSAVIA, Centro de Investigación Obonuco, San Juan de Pasto (Colombia)

Broad bean and experimental batch. Photos: D.E. Álvarez-Sánchez

Abstract

The participatory selection process of genotypes based on “horizontal dialogue between farmers and breeders” remains limited, especially in legume species related to family farming, such as the Faba bean, a legume associated with food security in southern Colombia. This study aimed to evaluate 64 genotypes of Faba bean of the Regional Argentina variety through agronomic variables and a participatory selection process. An Alpha Lattice design (8×8) with four replications was established to evaluate the number of pods per plant (PP), days to green harvest (DGH), yield (YLD), plant height (PH), and number of seeds per pod (SPP). The participatory selection methodology was employed, allowing farmers to assess the production, plant architecture, and plant health. The agronomic and participatory selection data were integrated into a selection index, identifying the promising Faba bean genotypes. Significant differences were observed for the variables PP, DGH, and YLD, aligning with the farmers' selection based on the three requested criteria. The selection index identified thirteen genotypes with an average of 32,65 pods per plant, 137,03 days to harvest, and a yield of 10,26 t ha-1, demonstrating a gain by selection compared to the initial population. Incorporating farmers' preferences in selecting Faba bean genotypes is expected to offer promising material for the high tropics of southern Colombia.

Keywords

Legumes, Cultivar selection, Family farming, Yields

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References

  1. Abou-Khater, L., F. Maalouf, A. Jighly, D. Rubiales, and S. Kumar. 2022. Adaptability and stability of faba bean (Vicia faba L.) accessions under diverse environments and herbicide treatments. Plants 11(3), 251. Doi: https://doi.org/10.3390/plants11030251
  2. Álvarez, D., H. Maigual, C. Salazar, and C. Betancourth. 2023. Caracterización fenotípica y clasificación jerárquica de 73 accesiones de haba (Vicia faba L.) colectadas en Nariño. Rev. Inv. Agr. Ambient. 14(2), 11-27. Doi: https://doi.org/10.22490/21456453.6256
  3. Álvarez-Sánchez, D.-E., B. Sañudo, C. Salazar-González, and C. Betancourth. 2022. Agronomic behavior of broad bean genotypes for the Colombian high andean zone. Rev. Cienc. Agric. 39(2), 175-185. Doi: https://doi.org/10.22267/rcia.223902.190
  4. Ayenew, A., D. Bikis, S. Sharie, Y. Taye, and Z. Addisu. 2023. Participatory variety selection of fababean (Vicia faba L.) for yield and yield components in Gunabegemidir district, northwestern Ethiopia. Sci. Dev. 4(4), 63-70. Doi: https://doi.org/10.11648/j.scidev.20230404.11
  5. Begna, T. 2022. Importance of participatory variety selection and participatory plant breeding in variety development and adoption. Am. J. BioSci. 10(2), 35-43. Doi: https://doi.org/10.11648/j.ajbio.20221002.11
  6. Brown, D., I. van den Bergh, S. de Bruin, L. Machida, and J. van Etten. 2020. Data synthesis for crop variety evaluation. A review. Agron. Sustain. Dev. 40, 25. Doi: https://doi.org/10.1007/s13593-020-00630-7
  7. Derese, T. 2022. Evaluation of Faba bean (Vicia faba L.) varieties for yield and yield contributing traits in the southern parts of Ethiopia. Int. J. Res. Stud. Agric. Sci. 8(3), 18-22.
  8. Díaz-Bautista, M., B.E. Herrera-Cabrera, J. Ramírez-Juárez, M. Aliphat-Fernández, and A. Delgado-Alvarado. 2008. Conocimiento campesino en la selección de variedades de haba (Vicia faba L.) en la Sierra Norte de Puebla México. Interciencia 33(8), 610-615.
  9. El-Abssi, M., H.A. Rabi., H.A. Awaad, and N. Qabil. 2019. Performance and gene action for earliness, yield and chocolate spot disease of Faba bean. Zagazig J. Agric. Res. 46(6), 1825-1834. Doi: https://doi.org/10.21608/zjar.2019.51882
  10. FAO. 2024. FAOSTAT: Crops and livestock products – Vicia faba L., 1990-2022. In: https://n9.cl/u52ux ; consulted: August, 2024.
  11. Hadou el hadj, D., S. Tellah, K. Goumeida, S. Aitouakli, C. Tifest, N. Ammi, P. Ratet, C. Pulvento, and M.H. Sellami. 2022. Evaluation of adaptability of different Faba bean landraces under Mediterranean field conditions of Central-Northern Algeria. Agronomy 12(7), 1660. Doi: https://doi.org/10.3390/agronomy12071660
  12. IDEAM. 2023. Consultation and download of hydrometeorological data In: http://dhime.ideam.gov.co/atencionciudadano/; consulted: November, 2024.
  13. Kindie, Y. and Z. Nigusie. 2019. Participatory evaluation of Faba bean (Vicia faba L.) varieties for yield and yield components in Wag-Lasta, Eastern Amhara, Ethiopia. East Afr. J. Sci. 13(1), 7-14.
  14. Lagos, L.K., F.A. Vallejo, T.C. Lagos, and D.E. Duarte. 2020. Evaluación agronómica de familias de medios hermanos de lulo de Castilla, Solanum quitoense Lam. Rev. UDCA Act. Cient. 23(1), e1334. Doi: https://doi.org/10.31910/rudca.v23.n1.2020.1334
  15. Lancashire, P.D., H. Bleiholder, T. van den Boom, P. Langelüddeke, R. Stauss, E. Weber, and A. Witzenberger. 1991. A uniform decimal code for growth stages of crops and weeds. Ann. Appl. Biol. 119(1), 561-601. Doi: https://doi.org/10.1111/j.1744-7348.1991.tb04895.x
  16. MADR, Ministerio de Agricultura y Desarrollo Rural Colombia. 2022. Agronet: participación departamental en la producción y en el área cosechada – haba Vicia faba L. In: https://n9.cl/sumcp; consulted: August, 2024.
  17. Mncwango, N.C., C.M. Van Jaarsveld, N.R. Ntuli, and S. Mavengahama. 2021. Participatory selection of amaranthus genotypes in the Kwambonambi area, Kwazulu-Natal, South Africa. Sustainability 13(21), 11962. Doi: https://doi.org/10.3390/su132111962
  18. Robsa, A., K. Yimam, and M. Hailu. 2021. Participatory variety selection and evaluation of released Faba bean (Vicia faba L.) varieties at Amigna Woreda, Southeastern Ethiopia. Adv. Crop Sci. Techn. 9(8), 1000480. Doi: https://doi.org/10.4172/2329-8863.1000480
  19. Serafin-Andrzejewska, M., A. Jama-Rodzeńska, W. Helios, A. Kotecki, M. Kozak, M. Białkowska, J. Bárta, and V. Bártová. 2023. Accumulation of minerals in Faba bean seeds and straw in relation to sowing density. Agriculture 13(1), 147. Doi: https://doi.org/10.3390/agriculture13010147
  20. Skovbjerg, C.K, D. Angra, T. Robertson-Shersby-Harvie, J. Kreplak, G. Keeble-Gagnère, S. Kaur, W. Ecke, A. Windhorst, L.K. Nielsen, A. Schiemann, J. Knudsen, N. Gutierrez, V. Tagkouli, L.I. Fechete, L. Janss, J. Stougaard, A. Warsame, S. Alves, H. Khazaei, W. Link, A.M. Torres, D.M. O’Sullivan, and S.U. Andersen. 2023. Genetic analysis of global Faba bean diversity, agronomic traits and selection signatures. Theor. Appl. Genet. 136, 114. Doi: https://doi.org/10.1007/s00122-023-04360-8

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