000 04549nam a22004337a 4500
001 69781
003 MX-TxCIM
005 20260116152401.0
008 260115s2025 mx ||||| |||| 00| 0 spa d
040 _aMX-TxCIM
041 _aeng
100 1 _aGarcía Santiago, J.O.
_95617
245 1 0 _aMultistakeholder networks in Mexico and Guatemala for scaling co-validated bundles of regenerative agriculture technologies
260 _a[Mexico] :
_bCIMMYT ;
_bCGIAR,
_c2025.
300 _a20 pages
500 _aOpen Access
500 _aTitle and abstract available in English
520 _aThis report presents the results of the innovation network analysis, territorial technical accompaniment processes, and advances in the adoption and scaling of agricultural innovations promoted by CIMMYT Innovation Hubs in Mexico and Guatemala during 2025, within the framework of the CGIAR Scaling for Impact (S4I) Science Program. The work was carried out primarily across five strategic Innovation Hubs—three in Mexico (the Yucatán Peninsula, Oaxaca, and Chiapas) and two in Guatemala (Western and Eastern Guatemala)—which together form a network of hubs aimed at articulating actors, capacities, and knowledge to support the validation, adaptation, and scaling of regenerative agriculture packages. Through systematic network mapping and analysis exercises, the interinstitutional structures, levels of connectivity, patterns of centralization, and the strategic roles of key actors in each territory were characterized. The results show that the networks analyzed generally exhibit low levels of density and varying degrees of centralization. While this configuration enables efficient short-term operational coordination, it also reveals structural challenges for sustained scaling. Across all hubs, the potential for impact is not constrained by actor diversity or territorial coverage, but rather by the need to strengthen horizontal connectivity, redistribute articulation capacities, and consolidate deeper collaboration mechanisms that facilitate collective learning and the large-scale adoption of innovations. In parallel, the report documents the implementation of the territorial technical accompaniment model and the capacity strengthening strategy, which are core pillars of the Hub approach. During 2025, a total of 15,114 producers and 4,344 technical advisors were trained, strengthening technical, methodological, and organizational capacities that enable adoption and scaling processes. These efforts resulted in a total area of 39,691 hectares reached and the direct participation of 30,832 farmers, exceeding the annual target established by the program. Overall, the findings confirm that the strategic management of networks, when integrated with technical accompaniment and capacity strengthening, is a critical factor for the effective scaling of agricultural innovations. The progress achieved in 2025 positions the Innovation Hubs as functional platforms for connecting local efforts with regional and national actors, laying the groundwork for the consolidated network of hubs to operate, by 2030, as the backbone for large-scale scaling of promising technological packages, in line with CGIAR’s transformative vision.
546 _aText in Spanish
591 _aGarcía Santiago, J.O. : Not in IRS staff list but CIMMYT Affiliation
591 _aDiaz Espinosa, A. : Not in IRS staff list but CIMMYT Affiliation
591 _aOvando Galdámez, J.R. : Not in IRS staff list but CIMMYT Affiliation
591 _aJiménez Gomez, B. : Not in IRS staff list but CIMMYT Affiliation
591 _aMay Tzun, V.N. : Not in IRS staff list but CIMMYT Affiliation
597 _fScaling for Impact
_bAgriLAC Resiliente
_aNutrition, health & food security
_aPoverty reduction, livelihoods & jobs
_cSystems Transformation
_cResilient Agrifood Systems
_dCGIAR Trust Fund
650 7 _aInnovation scaling
_2AGROVOC
_940995
650 7 _aStakeholder engagement
_2AGROVOC
_934304
650 7 _aRegenerative agriculture
_2AGROVOC
_937901
650 7 _aBoundaries
_2AGROVOC
_916272
651 7 _aMexico
_2AGROVOC
_91318
651 0 _aGuatemala
_2AGROVOC
_95028
700 1 _aDiaz Espinosa, A.
_920354
700 1 _aOvando Galdámez, J.R.
_926984
700 1 _aJiménez Gomez, B.
_941042
700 1 _aMay Tzun, V.N.
_937847
700 1 _aVan Loon, J.
_gSustainable Agrifood Systems
_8I1705924
_92765
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/36728
942 _cRE
_n0
_2ddc
999 _c69781
_d69773