Precision Feeding on Pig Fattening Farms: Can Simplified Implementation Enhance Productivity and Reduce Pollutant Emissions?

This study evaluated a simplified precision feeding (PF) strategy on pig fattening farms to assess its effects on economic performance and pollutant emissions. PF in pig production can reduce nitrogen (N) intake, excretion, and slurry-related environmental impacts, yet its implementation is difficul...

Descripción completa

Detalles Bibliográficos
Autores: Montalvo, G., Rodríguez, M., Piñeiro, C., Calvet, S., Sanz, M.J., Garcia-Rebollar, P.
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/78329
Acceso en línea:http://hdl.handle.net/10810/78329
Access Level:acceso abierto
Palabra clave:ammonia emissions
feeding cost
greenhouse gas
pig
precision feeding
id ES_9bbdee2bc6f943260a0b2bb779e4e191
oai_identifier_str oai:addi.ehu.eus:10810/78329
network_acronym_str ES
network_name_str España
repository_id_str
spelling Precision Feeding on Pig Fattening Farms: Can Simplified Implementation Enhance Productivity and Reduce Pollutant Emissions?Montalvo, G.Rodríguez, M.Piñeiro, C.Calvet, S.Sanz, M.J.Garcia-Rebollar, P.ammonia emissionsfeeding costgreenhouse gaspigprecision feedingThis study evaluated a simplified precision feeding (PF) strategy on pig fattening farms to assess its effects on economic performance and pollutant emissions. PF in pig production can reduce nitrogen (N) intake, excretion, and slurry-related environmental impacts, yet its implementation is difficult due to the need for daily diet adjustments to match pigs’ changing requirements. This work tested a simplified PF approach: two commercial feeds, a nutrient-rich pre-grower and a nutrient-poor finisher, were blended weekly based on the lysine needs of two groups of pigs, defined by initial body weight. During the fattening period, blend feeding (BF) sustained growth and feed intake at levels comparable to those with conventional three-phase feeding, but heavy pigs under BF showed reduced feed efficiency. Nitrogen excretion and slurry ammonia (NH3) emissions did not differ significantly, but BF increased methane and carbon dioxide emissions in the slurry from heavy pigs. The results show that simplified PF can provide economic benefits without compromising performance, but BF formulation should also address potential NH3 and greenhouse gas emissions during slurry storage. The integration of artificial intelligence-driven tools for real-time diet adjustments at the farm level would be of great interest to enhance sustainability and efficiency, because the economic benefits of PF application were evident.The authors thank ADA and PROINSERGA staff for their assistance with animal care and handling. This research was funded by the European Union via the Horizon Europe funding programme for research and innovation and the project Facilitating Innovations for Resilient Livestock Farming Systems (Re-Livestock; 101059609).Agriculture SwitzerlandEuropean UnionHorizon Europe funding programme for research and innovation202620262025info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/78329reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/EC/H2020/101059609https://dx.doi.org/10.3390/agriculture15181935info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/es/© 2025 by the authors.Atribución-NoComercial-CompartirIgual 3.0 Españaoai:addi.ehu.eus:10810/783292026-06-18T09:23:17Z
dc.title.none.fl_str_mv Precision Feeding on Pig Fattening Farms: Can Simplified Implementation Enhance Productivity and Reduce Pollutant Emissions?
title Precision Feeding on Pig Fattening Farms: Can Simplified Implementation Enhance Productivity and Reduce Pollutant Emissions?
spellingShingle Precision Feeding on Pig Fattening Farms: Can Simplified Implementation Enhance Productivity and Reduce Pollutant Emissions?
Montalvo, G.
ammonia emissions
feeding cost
greenhouse gas
pig
precision feeding
title_short Precision Feeding on Pig Fattening Farms: Can Simplified Implementation Enhance Productivity and Reduce Pollutant Emissions?
title_full Precision Feeding on Pig Fattening Farms: Can Simplified Implementation Enhance Productivity and Reduce Pollutant Emissions?
title_fullStr Precision Feeding on Pig Fattening Farms: Can Simplified Implementation Enhance Productivity and Reduce Pollutant Emissions?
title_full_unstemmed Precision Feeding on Pig Fattening Farms: Can Simplified Implementation Enhance Productivity and Reduce Pollutant Emissions?
title_sort Precision Feeding on Pig Fattening Farms: Can Simplified Implementation Enhance Productivity and Reduce Pollutant Emissions?
dc.creator.none.fl_str_mv Montalvo, G.
Rodríguez, M.
Piñeiro, C.
Calvet, S.
Sanz, M.J.
Garcia-Rebollar, P.
author Montalvo, G.
author_facet Montalvo, G.
Rodríguez, M.
Piñeiro, C.
Calvet, S.
Sanz, M.J.
Garcia-Rebollar, P.
author_role author
author2 Rodríguez, M.
Piñeiro, C.
Calvet, S.
Sanz, M.J.
Garcia-Rebollar, P.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv European Union
Horizon Europe funding programme for research and innovation
dc.subject.none.fl_str_mv ammonia emissions
feeding cost
greenhouse gas
pig
precision feeding
topic ammonia emissions
feeding cost
greenhouse gas
pig
precision feeding
description This study evaluated a simplified precision feeding (PF) strategy on pig fattening farms to assess its effects on economic performance and pollutant emissions. PF in pig production can reduce nitrogen (N) intake, excretion, and slurry-related environmental impacts, yet its implementation is difficult due to the need for daily diet adjustments to match pigs’ changing requirements. This work tested a simplified PF approach: two commercial feeds, a nutrient-rich pre-grower and a nutrient-poor finisher, were blended weekly based on the lysine needs of two groups of pigs, defined by initial body weight. During the fattening period, blend feeding (BF) sustained growth and feed intake at levels comparable to those with conventional three-phase feeding, but heavy pigs under BF showed reduced feed efficiency. Nitrogen excretion and slurry ammonia (NH3) emissions did not differ significantly, but BF increased methane and carbon dioxide emissions in the slurry from heavy pigs. The results show that simplified PF can provide economic benefits without compromising performance, but BF formulation should also address potential NH3 and greenhouse gas emissions during slurry storage. The integration of artificial intelligence-driven tools for real-time diet adjustments at the farm level would be of great interest to enhance sustainability and efficiency, because the economic benefits of PF application were evident.
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/78329
url http://hdl.handle.net/10810/78329
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/EC/H2020/101059609
https://dx.doi.org/10.3390/agriculture15181935
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
© 2025 by the authors.
Atribución-NoComercial-CompartirIgual 3.0 España
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/es/
© 2025 by the authors.
Atribución-NoComercial-CompartirIgual 3.0 España
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Agriculture Switzerland
publisher.none.fl_str_mv Agriculture Switzerland
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869414580259651585
score 15.812455

Similares en LA Referencia