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dc.contributor.authorAchon Forno, Ignacio
dc.contributor.authorEnciso Maldonado, Guillermo Andrés 
dc.date.accessioned2026-01-01T20:10:33Z
dc.date.available2026-01-01T20:10:33Z
dc.date.issued2025-12-24
dc.identifier.citationAchon, I., & Enciso-Maldonado, G. A. (2025). Integrating molecular insights on stress responses and agronomic traits for breeding in forage grasses. Crop & Pasture Science, 77(1), Article CP25162. https://doi.org/10.1071/CP25162en
dc.identifier.issn1836-0947es
dc.identifier.otherhttps://doi.org/10.1071/CP25162es
dc.identifier.urihttp://hdl.handle.net/20.500.14066/4727
dc.descriptionCorrespondence to: Ignacio Achon. Facultad de Ciencias Agrarias, Universidad Nacional de Asunción, Campus de la UNA, Km 11, San Lorenzo, Central 110202, Paraguay. Email: ignacio.achon@agr.una.py. Guillermo Andrés Enciso-Maldonado. Universidad Católica ‘Nuestra Señora de la Asunción’, Unidad Pedagógica Hohenau, Avenue P. Guillermo Hutte c/ Asunción Flores, Hohenau, Itapúa 71401, Paraguay. Email: guillermo.enciso@uc.edu.py.en
dc.description.abstractIn Latin America, pasture-based systems form the backbone of cattle production, with tropical forage grasses providing the primary and most economical feed source for ruminants. These grasses are cultivated across millions of hectares because of their high biomass yield, adaptability to poor soils, and suitability for extensive grazing. However, shifting land-use patterns and climate change are pushing forage systems into more marginal environments, where water scarcity and declining soil fertility compromise productivity and nutritional quality. Despite their critical role in regional and global livestock supply chains, tropical forage grasses have historically received limited breeding attention, largely owing to biological constraints such as apomixis, polyploidy, and self-incompatibility. This review explores the current understanding of the molecular mechanisms regulating key morphophysiological traits in tropical forage species, focusing on plant responses to abiotic (e.g. drought, heat) and biotic (e.g. pests, pathogens) stress. We highlight progress in building genomic resources, with emphasis on quantitative trait locus (QTL) mapping, transcriptomics, and genome-wide association studies (GWAS), which are uncovering trait-linked markers that can inform selection strategies. Additionally, we examine how transgenic technologies and gene editing tools such as CRISPR-Cas can be employed to circumvent reproductive barriers and accelerate the development of improved cultivars. By integrating conventional breeding with cutting-edge molecular tools, we propose a roadmap for developing climate-resilient, nutritionally enhanced tropical forages to support the long-term sustainability of grass-based livestock systems.es
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.format.extent22 páginases
dc.language.isoenges
dc.publisherCSIRO Publishinges
dc.rightsAtribución/Reconocimiento-NoComercial-SinDerivados 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherBreedinges
dc.subject.otherClimate-resilientes
dc.subject.otherGene editinges
dc.subject.otherGenomices
dc.subject.otherLivestockes
dc.subject.otherPhysiologyes
dc.subject.otherRuminantses
dc.subject.otherStresses
dc.subject.otherTransgenices
dc.subject.otherTropical forage grasseses
dc.titleIntegrating molecular insights on stress responses and agronomic traits for breeding in forage grasseses
dc.typeinfo:eu-repo/semantics/articlees
dc.typeinfo:eu-repo/semantics/publishedVersiones
dc.identifier.doi10.1071/CP25162es
dc.description.fundingtextPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Programa de inserción de capital humano avanzadoes
dc.identifier.essn1836-5795es
dc.issue.number1es
dc.journal.titleCrop & Pasture Sciencees
dc.relation.projectCONACYTPRIA01-17es
dc.relation.projectCONACYTPRIA02-1es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.copyright© 2026 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).en
dc.volume.number77es


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Atribución/Reconocimiento-NoComercial-SinDerivados 4.0 Internacional
Except where otherwise noted, this item's license is described as Atribución/Reconocimiento-NoComercial-SinDerivados 4.0 Internacional