Near-infrared spectroscopy and wet chemistry dataset for forage nutritional quality assessment in Urochloa humidicola
| cg.authorship.types | CGIAR single centre | en |
| cg.contributor.affiliation | International Center for Tropical Agriculture | en |
| cg.contributor.initiative | Accelerated Breeding | |
| cg.contributor.initiative | Sustainable Animal Productivity | |
| cg.coverage.country | Colombia | |
| cg.coverage.iso3166-alpha2 | CO | |
| cg.coverage.region | Americas | |
| cg.coverage.region | South America | |
| cg.coverage.region | Latin America and the Caribbean | |
| cg.creator.identifier | Rodrigo Camelo: 0000-0003-0563-6123 | en |
| cg.creator.identifier | Johanna Mazabel: 0000-0002-7494-4608 | en |
| cg.creator.identifier | Paula Espitia-Buitrago: 0000-0002-6610-1491 | en |
| cg.creator.identifier | Rosa Noemi Jauregui: 0000-0001-5403-7392 | en |
| cg.creator.identifier | Juan Andrés Cardoso Arango: 0000-0002-0252-4655 | en |
| cg.identifier.doi | https://doi.org/10.1016/j.dib.2025.111651 | en |
| cg.issn | 2352-3409 | en |
| cg.journal | Data in Brief | en |
| cg.reviewStatus | Peer Review | en |
| cg.subject.actionArea | Genetic Innovation | |
| cg.subject.actionArea | Resilient Agrifood Systems | |
| cg.subject.alliancebiovciat | LIVESTOCK | en |
| cg.subject.alliancebiovciat | MODELING | en |
| cg.subject.alliancebiovciat | PLANT BREEDING | en |
| cg.subject.alliancebiovciat | PLANT GENETIC RESOURCES | en |
| cg.subject.alliancebiovciat | TROPICAL FORAGES | en |
| cg.subject.impactArea | Nutrition, health and food security | |
| cg.subject.impactArea | Poverty reduction, livelihoods and jobs | |
| cg.subject.sdg | SDG 1 - No poverty | en |
| cg.subject.sdg | SDG 2 - Zero hunger | en |
| cg.subject.sdg | SDG 9 - Industry, innovation and infrastructure | en |
| cg.subject.sdg | SDG 13 - Climate action | en |
| cg.subject.sdg | SDG 15 - Life on land | en |
| cg.volume | 60 | en |
| dc.contributor.author | Camelo, Rodrigo Andres | en |
| dc.contributor.author | Mazabe, Johanna | en |
| dc.contributor.author | Espitia-Buitrago, Paula | en |
| dc.contributor.author | Jauregui, Rosa Noemi | en |
| dc.contributor.author | Cardoso, Juan Andres | en |
| dc.date.accessioned | 2025-06-04T13:02:14Z | |
| dc.date.available | 2025-06-04T13:02:14Z | |
| dc.identifier.uri | https://hdl.handle.net/10568/174967 | |
| dc.title | Near-infrared spectroscopy and wet chemistry dataset for forage nutritional quality assessment in Urochloa humidicola | en |
| dcterms.abstract | Assessing the nutritional quality traits of pastures is crucial for germplasm and breeding evaluations, enabling the selection of high-quality forages to enhance livestock productivity. However, traditional laboratory analytical methods are logistically demanding and costly, particularly in large-scale trials, underscoring the need for rapid, precise, and high-throughput evaluation methods. Near-Infrared Spectroscopy (NIRS) optimizes the estimation of forage nutritional quality parameters by developing chemometric models that predict these parameters with high accuracy and precision, based on the association between NIRS data and wet chemistry analyses. This dataset, collected over ten years by the Tropical Forages Program at the International Center for Tropical Agriculture (CIAT) in Colombia, comprises 1112 samples. It includes 995 measurements of Neutral Detergent Fiber (NDF), 996 of Acid Detergent Fiber (ADF), 995 of In Vitro Dry Matter (IVDMD), and 469 of Crude Protein (CP), all obtained through wet chemistry methodologies. Additionally, the 1112 samples contain absorbance data spanning 400 to 2498 nanometers (nm) in 2 nm intervals, generating 1050 spectral data points per sample. Finally, this dataset is a valuable resource for predicting forage nutritional quality beyond conventional parameters, incorporating plant reflectance attributes to enhance selection strategies for optimized forage selection. | en |
| dcterms.accessRights | Open Access | |
| dcterms.bibliographicCitation | Camelo, R.A.; Mazabe, J.; Espitia-Buitrago, P.; Jauregui, R.N.; Cardoso, J.A. (2025) Near-infrared spectroscopy and wet chemistry dataset for forage nutritional quality assessment in Urochloa humidicola. Data in Brief 60: 111651. ISSN: 2352-3409 | en |
| dcterms.extent | 111651 | en |
| dcterms.issued | 2025-05-13 | en |
| dcterms.language | en | |
| dcterms.license | CC-BY-NC-4.0 | |
| dcterms.publisher | Elsevier BV | en |
| dcterms.subject | high-throughput phenotyping | en |
| dcterms.subject | fenotipado de alto rendimiento | en |
| dcterms.subject | forage yield | en |
| dcterms.subject | nutritive value-nutritional assessment of feeds | en |
| dcterms.subject | infrared spectrophotometry-near infrared spectroscopy | en |
| dcterms.subject | valor nutritivo-evaluación nutricional piensos | en |
| dcterms.subject | calidad del cultivo | en |
| dcterms.subject | espectroscopia infrarroja-espectroscopia infrarrojo cercano | en |
| dcterms.type | Data Paper |
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