Opportunities and challenges for improving a Colombian public research program in plant breeding and plant genetic resources lead by Agrosavia

dc.audienceInvestigador
dc.coverageColombia
dc.creatorGaleano, Carlos H.
dc.creatorTehelen, Katherine
dc.creatorJiménez, Hugo R.
dc.creatorGonzález, Carolina
dc.creatorCerón Souza, Ivania
dc.date2024-08-05T19:26:44Z
dc.date2024-08-05T19:26:44Z
dc.date2020-09-21
dc.date2020
dc.date.accessioned2026-06-27T04:30:46Z
dc.descriptionAgrosavia (Corporación Colombiana de Investigación Agropecuaria) is the Colombian state institution in charge of the agricultural research at the national level, including plant breeding. Since 2014, Agrosavia started to increase its research staff and has reset the leadership of public research to solve the needs of the agricultural sector population, focusing on small producers. However, the current team working on plant breeding and plant genetic resources are facing some challenges associated with generation gaps and the lack of a collaborative working plan for the next years. To identify the opportunities and actions in this research area, we surveyed all the 52 researchers working in Agrosavia in this area in 2017. We analyzed the opinions of researchers to detect the strengths and weaknesses of the program using a sentiment score. We also examined the networking to test both how consolidated the group is and if among top leaders are gender parity and also have a higher academic degree. Results showed that there is a mixed community of old and new researchers with clear gender bias in the proportion of male-female. Within the network, the interactions are weak, with several subgroups where the top-ten of both central leaders and the most influencer are frequently males with mostly an M.Sc. degree but with significant experience in the area. Researchers have an interest in 31 crops. From them, 26 are in the national germplasm bank, but this bank is not the primary source for their breeding programs. The top-five of plants with increasing interest are corn, cocoa tree, golden berries, oil palm, and sugarcane. Researchers also want to establish collaborations with 54 different institutions, where the Universidad Nacional de Colombia, which is the top public university in the country, is on the head. Researchers also perceived weaknesses in the marker-assisted selection, experimental design, and participatory plant breeding, but those criticisms have a positive sentiment score average of 1.55 (0.3 SE) across 31 texts analyzed. Based on all results, we identified five critical strategic principles to improve the plant-breeding research program. They include a gender diversity policy to hire new researchers strategically to reduce the gender gap and strength the generational shift. Better collaboration between the national germplasm bank and plant breeding research. A coordinate plan where the studies focus on food security crops that the government supports independently of market trends. And finally, adequate spaces for the project’s design and training programs. Hence, we recommend the creation of a consultant group to implement these policies progressively in the next years.
dc.descriptionMinisterio de Agricultura y Desarrollo Rural - MADR
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.identifierhttps://www.biorxiv.org/content/10.1101/2020.09.21.305961v1.article-inf
dc.identifierhttp://hdl.handle.net/20.500.12324/39790
dc.identifierhttps://doi.org/10.1101/2020.09.21.305961
dc.identifierreponame:Biblioteca Digital Agropecuaria de Colombia
dc.identifierinstname:Corporación colombiana de investigación agropecuaria AGROSAVIA
dc.identifier.urihttp://hdl.handle.net/123456789/29968
dc.languageeng
dc.publisherPublicador no identificado
dc.relationBioRxiv
dc.relation1
dc.relation26
dc.relationByrne PF, Volk GM, Gardner C, Gore MA, Simon PW, Smith S. Sustaining the Future of Plant Breeding: The Critical Role of the USDA-ARS National Plant Germplasm System. Crop Sci. 2018;58: 451–468. doi: 10.2135/cropsci2017.05.0303CrossRefGoogle Scholar
dc.relationFAO. How to Feed the World in 2050. Rome, Italy; 2009.Google Scholar
dc.relationHunter MC, Smith RG, Schipanski ME, Atwood LW, Mortensen DA. Agriculture in 2050: Recalibrating Targets for Sustainable Intensification. Bioscience. 2017;67: 386–391. doi: 10.1093/biosci/bix010CrossRefGoogle Scholar
dc.relationVarshney RK, Graner A, Sorrells ME. Genomics-assisted breeding for crop improvement. Trends Plant Sci. 2005;10: 621–630. doi: 10.1016/j.tplants.2005.10.004CrossRefPubMedWeb of ScienceGoogle Scholar
dc.relationVarshney RK, Singh VK, Hickey JM, Xun X, Marshall DF, Wang J, et al. Analytical and Decision Support Tools for Genomics-Assisted Breeding. Trends Plant Sci. 2016;21: 354–363. doi: https://doi.org/10.1016/j.tplants.2015.10.018Google Scholar
dc.relationLobo M. Importancia de los recursos genéticos de la agrobiodiversidad en el desarrollo de sistemas de producción sostenibles. Corpoica Cienc y Tecnol Agropecu. 2009;9: 19–30. doi: doi.org/10.21930/rcta.vol9_num2_art:114CrossRefGoogle Scholar
dc.relationRestrepo Ibiza JL, Gómez Badel A. Una propuesta que parecía improbable: La ruta de Corpoica a Agrosavia. Corporación Colombiana de Investigación Agropecuaria (Agrosavia); 2019.Google Scholar
dc.relationLemon J. Plotrix: a package in the red light district of R. R-News. 2006;6: 8–12.Google Scholar
dc.relationWickham H. ggplot2. Wiley Interdiscip Rev Comput Stat. 2011;3: 180–185. doi: 10.1002/wics.147CrossRefGoogle Scholar
dc.relationHu M, Liu B. Mining, and summarizing customer reviews. KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2004. doi: 10.1145/1014052.1014073CrossRefGoogle Scholar
dc.relationBing L, Minqing H, Junsheng C. Opinion Observer?: Analyzing and Comparing Opinions on the Web. Proceedings of the 14th international conference on World Wide Web. 2005.Google Scholar
dc.relationCsárdi G, Nepusz T. The igraph software package for complex network research. InterJournal, Complex Syst. 2006;1695: 1–9.Google Scholar
dc.relationKleinberg JM. Authoritative sources in a hyperlinked environment. J ACM. 1999;46. doi: 10.1145/324133.324140CrossRefGoogle Scholar
dc.relationHicks DJ, Coil DA, Stahmer CG, Eisen JA. Network analysis to evaluate the impact of research funding on research community consolidation. PLoS One. 2019;14. doi: 10.1371/journal.pone.0218273CrossRefGoogle Scholar
dc.relationVásquez Urriago ÁR, Uribe Galvis CP, Zambrano Moreno GS, Ramírez Gómez MM, Rodríguez Borray GA, Santacruz Castro AM, et al. Balance social 2018. 2019 [cited 24 Jun 2020]. Available: https://repository.agrosavia.co/handle/20.500.12324/35024#.XvN8c82qkVw.mendeleyGoogle Scholar
dc.relationButtel FH, Goldberger JR. Gender and Agricultural Science: Evidence from Two Surveys of Land-Grant Scientists. Rural Sociol. 2002;67: 24–45.Google Scholar
dc.relationCrowe JA, Goldberger JR. University-Industry Relationships in Colleges of Agriculture and Life Sciences: The Role of Women Faculty. Rural Sociol. 2009;74: 498–524.Google Scholar
dc.relationLarivière V, Ni C, Gingras Y, Cronin B, Sugimoto C. Bibliometrics: Global gender disparities in science. Nature. 2013;504: 211–213.CrossRefPubMedWeb of ScienceGoogle Scholar
dc.relationFernández Polcuch E, Brooks LA, Bello A, Deslandes K. Measuring gender equality in science and engineering: the SAGA survey of drivers and barriers to careers in science and engineering. 2017.Google Scholar
dc.relationFranco-Orozco CM, Franco-Orozco B. Women in Academia and Research: An Overview of the Challenges Toward Gender Equality in Colombia and How to Move Forward. Front Astron Sp Sci. 2018;5. doi: 10.3389/fspas.2018.00024CrossRefGoogle Scholar
dc.relationUniversidad Nacional de Colombia. Estadisticas docentes: Situación, datos y estadísticas de la planta a marzo de 2018. 2018.Google Scholar
dc.relationQuintero OA. La creciente exclusión de las mujeres de la Universidad Nacional de Colombia. Nómadas. 2016; 123–145.Google Scholar
dc.relationDANE. Boletín técnico Encuesta Nacional de Uso del Tiempo (ENUT) 2016-2017. 2018.Google Scholar
dc.relationScott J. Social Network Analysis?: A handbook. Newbury Park, CA.: Sage Publications; 1994.Google Scholar
dc.relationAcosta O, Celis J. The emergence of doctoral programmes in the Colombian higher education system: Trends and challenges. Prospects. 2014;44: 463–481. doi: 10.1007/s11125-014-9310-5CrossRefGoogle Scholar
dc.relationFAO. Developing gender-sensitive value chains – A guiding framework. Rome; 2016.Google Scholar
dc.relationHolman L, Stuart-Fox D, Hauser CE. The gender gap in science: How long until women are equally represented? PLoS Biol. 2018;16. doi: 10.1371/journal.pbio.2004956CrossRefPubMedGoogle Scholar
dc.relation↵Salinas G, Saint C, Cameron M, Wenzl P, Hearne S, Singh S, et al. Avances en el análisis de las redes de mejoramiento genético de maíz y trigo en México. XXV Congreso Nacional y V Internacional de Fitogenética. San Luis Potosí, México; 2014.Google Scholar
dc.relationGarrett KA, Andersen KF, Asche F, Bowden RL, Forbes GA, Kulakow PA, et al. Resistance genes in global crop breeding networks. Phytopathology. 2017;107. doi: 10.1094/PHYTO-03-17-0082-FICrossRefGoogle Scholar
dc.relationTadesse Y, Almekinders CJM, Schulte RPO, Struik PC. Tracing the seed: Seed diffusion of improved potato varieties through farmers’ networks in Chencha, Ethiopia. Exp Agric. 08/03. 2016; 1–16. doi: 10.1017/S001447971600051XCrossRefGoogle Scholar
dc.relationUmeda S, Nakano M, Mizuyama H, Hibino N, Kiritsis D, von Cieminski GCostabile LT, Vendrametto O, de Oliveira Neto GC, Neto MM, Shibuya MK. Social Network Analysis on Grain Production in the Brazilian Scenario. In: Umeda S, Nakano M, Mizuyama H, Hibino N, Kiritsis D, von Cieminski G, editors. Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth: IFIP WG 57 International Conference, APMS 2015, Tokyo, Japan, September 7-9, 2015, Proceedings, Part I. Cham: Springer International Publishing; 2015. pp. 36–44. doi: 10.1007/978-3-319-22756-6_5CrossRefGoogle Scholar
dc.relationYu S, Bedru HD, Lee I, Xia F. Science of Scientific Team Science: A survey. Comput Sci Rev. 2019;31: 72–83. doi: https://doi.org/10.1016/j.cosrev.2018.12.001Google Scholar
dc.relationFAO. FAOSTAT Statistical databases. Food and Agriculture Organization of the United Nations. Available: http://faostat.fao.org/. 2017.Google Scholar
dc.relationCamacho-Villa TC, Almekinders C, Hellin J, Martinez-Cruz TE, Rendon-Medel R, Guevara-Hernández F, et al. The evolution of the MasAgro hubs: responsiveness and serendipity as drivers of agricultural innovation in a dynamic and heterogeneous context. J Agric Educ Ext. 2016;22: 455–470. doi: 10.1080/1389224X.2016.1227091CrossRefGoogle Scholar
dc.relationDonnet I, Becerril I, Black JR, Hellin J. Productivity differences and food security: a metafrontier analysis of rain-fed maize farmers in MasAgro in Mexico. AIMS Agric Food. 2017;2: 129–148. doi: http://dx.doi.org/10.3934/agrfood.2017.2.129Google Scholar
dc.relationValencia RA, Lobo A. RM, Ligarreto M. GA. Estado del arte de los recursos genéticos vegetales en Colombia: Sistema de Bancos de Germoplasma. Corpoica Cienc y Tecnol Agropecu. 2010;11. doi: 10.21930/rcta.vol11_num1_art:198CrossRefGoogle Scholar
dc.relationPostman J, Hummer K, Ayala-Silva T, Bretting P, Franko T, Kinard G, et al. GRIN-GLOBAL: AN INTERNATIONAL PROJECT TO DEVELOP A GLOBAL PLANT GENEBANK INFORMATION MANAGEMENT SYSTEM. Acta Horticulturae. International Society for Horticultural Science (ISHS), Leuven, Belgium; 2010. pp. 49–55. doi: 10.17660/ActaHortic.2010.859.4CrossRefGoogle Scholar
dc.relationWambugu PW, Ndjiondjop M-N, Henry RJ. Role of genomics in promoting the utilization of plant genetic resources in genebanks. Brief Funct Genomics. 2018;17: 198–206. doi: 10.1093/bfgp/ely014CrossRefGoogle Scholar
dc.relationBerdugo-Cely J, Sanchez E, Barrero L, Yockteng R. Genetic Diversity and Population Structure in the Colombian Central Collection of potato (Solanum tuberosum L.) Group Andigenum using SNPs markers. 11 th International Plant Molecular Biology Congress. Iguazú falls, Brazil; 2015.Google Scholar
dc.relationOsorio-Guarín JA, Berdugo-Cely J, Coronado RA, Zapata YP, Quintero C, Gallego-Sánchez G, et al. Colombia a source of cacao genetic diversity as revealed by the population structure analysis of germplasm bank of theobroma cacao l. Front Plant Sci. 2017;8. doi: 10.3389/fpls.2017.01994CrossRefGoogle Scholar
dc.relationMeyers RAAraus JL, Kefauver SC, Zaman-Allah M, Olsen MS, Cairns JE. Phenotyping: New Crop Breeding Frontier BT - Encyclopedia of Sustainability Science and Technology. In: Meyers RA, editor. New York, NY: Springer New York; 2018. pp. 1–11. doi: 10.1007/978-1-4939-2493-6_1036-1CrossRefGoogle Scholar
dc.relationYu X, Li X, Guo T, Zhu C, Wu Y, Mitchell SE, et al. Genomic prediction contributing to a promising global strategy to turbocharge gene banks. Nat Plants. 2016;2: 16150. doi: 10.1038/nplants.2016.150 https://www.nature.com/articles/nplants2016150#supplementary-informationCrossRefGoogle Scholar
dc.relationLee K-R. University–Industry R&D Collaboration in Korea’s National Innovation System. Sci Technol Soc. 2014;19: 1–25. doi: 10.1177/0971721813514262CrossRefGoogle Scholar
dc.relationJackson P, Mavi RK, Suseno Y, Standing C. University–industry collaboration within the triple helix of innovation: The importance of mutuality. Sci Public Policy. 2017;45: 553–564. doi: 10.1093/scipol/scx083CrossRefGoogle Scholar
dc.relationOreg S, Goldenberg J. Resistance to innovation: Its sources and manifestations. University of Chicago Press; 2015.Google Scholar
dc.relationRosenberg MJ, Hovland CI. Attitude organization and change: An analysis of consistency among attitude components. Oxford, England: Yale U. Press.; 1966.Google Scholar
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceBioRxiv; (2020): BioRxiv (Sept.);p. 1-26
dc.subjectGenética vegetal y fitomejoramiento - F30
dc.subjectCentro de investigación
dc.subjectBanco de germoplasma
dc.subjectRecurso genético
dc.subjectRedes sociales
dc.subjectTransversal
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_e3cfa9f6
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_35302
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_3218
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_e64c9a8d
dc.thumbnailhttps://repository.agrosavia.co/bitstreams/5f75820e-dbb0-4b8e-9493-936b0d0a150e/download
dc.titleOpportunities and challenges for improving a Colombian public research program in plant breeding and plant genetic resources lead by Agrosavia
dc.titleOpportunities and challenges for improving a Colombian public research program in plant breeding and plant genetic resources lead by Agrosavia
dc.typeArtículo científico

Archivos

Colecciones