Potential land use of Cantabria for grass-fed milk production

  1. VÁZQUEZ-GONZÁLEZ, Ibán 1
  2. RUIZ-ESCUDERO, Francisca 2
  3. BUSQUÉ, Juan 2
  4. VILLAR, Ana 2
  1. 1 University of Santiago de Compostela, Escola Politecnica Superior de Enxeñaría (Department of Applied Economics), Campus Universitario s/n, 27002 Lugo, Spain
  2. 2 Centre for Agricultural Research and Training (CIFA), Government of Cantabria, 39600 Cantabria, Spain
Revista:
Spanish journal of agricultural research

ISSN: 1695-971X,  2171-9292

Ano de publicación: 2023

Volume: 21

Número: 4

Tipo: Artigo

DOI: 10.5424/SJAR/2023214-19920 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Outras publicacións en: Spanish journal of agricultural research

Resumo

Aim of study: To analyse the territorial potential of Cantabria to produce grass-fed milk. Area of study: Cantabria (N Spain) is a territory associated with livestock, in particular cattle and grasslands. Over the last few decades, the livestock sector has been immersed in a process of structural adjustment, leading to a reduction in the number of farms, an increase in their size and the intensification of production. Moreover, the market is being increasingly supplied with milk labelled “grass fed”, due to growing consumer interest in healthier and more environmentally friendly products. Material and methods: To do this, 99 livestock farms were classified according to the percentage of fresh grass (FG) in the spring diet of the lactating cows (non-grass-fed: <25% FG; grass-fed: ≥25% FG); these were characterized and, subsequently, a multiple linear regression analysis was carried out to estimate the percentage of FG based on 41 territorial variables. Main results: The predicted feeding model had an accuracy rate of 70.7%, and discriminated better the non-grass-fed, it had some limitations, suggesting that territorial structure is important but not enough to differentiate grass-fed milk. In addition, 33% of the farms studied produce grass-fed milk, but only half do so under territorial conditions typically associated with this type of production. Meanwhile, 12% of the farms, with similar territorial conditions, do not carry out this type of production (grass fed). Research highlights: To support grass-fed production, other internal, cultural or economic values must be taken into account.

Referencias bibliográficas

  • Aldezabal A, Moragues L, Odriozola I, Mijangos I, 2015. Impact of grazing abandonment on plant and soil microbial communities in an Atlantic mountain grassland. Appl Soil Ecol 96: 251-260. https://doi.org/10.1016/j.apsoil.2015.08.013
  • Almeida C, Mourão M, Dessay N, Lacques AE, Monteiro A, Durieux L, et al., 2016. Typologies and spatialization of agricultural production systems in Rondônia, Brazil: Linking land use, socioeconomics and territorial configuration. Land 5(2): 18. https://doi.org/10.3390/land5020018
  • Alonso del Val FJ, Cofiño A, Fernández JM, Ferrer F, Francés E, Gutiérrez JM, et al., 2008. La zonificación agroecológica como mecanismo para potenciar la diversificación de la producción agrícola en Cantabria. Proc III Congreso de la Asociación Hispano-Portuguesa de Economía de los Recursos naturales y Ambientales, España, June.
  • Beaufoy G, Ruiz-Mirazo J, 2013. Ingredients for a new common agricultural policy in support of sustainable livestock systems linked to the territory. Pastos 43(2): 25-34.
  • Bernués A, Ruiz R, Olaizola A, Villalba D, Casasús I, 2011. Sustainability of pasture-based livestock farming systems in the European Mediterranean context: Synergies and trade-offs. Livest Sci 139(1-2): 44-57. https://doi.org/10.1016/j.livsci.2011.03.018
  • Botana A, Suárez B, Resch C, Ribas A, López E, Sánchez A, et al., 2020. Estratexia de dinamización do sector lácteo galego 2020-2025. Transmedia Comunicación y Prensa: Lugo, Spain, pp. 1-394.
  • Busqué J, 2015. De la investigación a la práctica: herramientas para gestionar la ganadería de montaña y los pastos comunales de Cantabria dentro de la política agraria común. Pastos 44(1): 6-42.
  • Calcedo V, 2013. Cantabria en el sector lácteo español: Un radical cambio estructural. Rev Estud Agro-Soc 234: 13-48.
  • Couvreur S, Hurtaud C, Lopez C, Delaby L, Peyraud JL, 2006. The linear relationship between the proportion of fresh grass in the cow diet, milk fatty acid composition, and butter properties. J Dairy Sci 89(6): 1956-1969. https://doi.org/10.3168/jds.S0022-0302(06)72263-9
  • Fariña SR, Chilibroste P, 2019. Opportunities and challenges for the growth of milk production from pasture: The case of farm systems in Uruguay. Agr Syst 176: 102631. https://doi.org/10.1016/j.agsy.2019.05.001
  • Flores G, Martínez A, Doltra A, García P, Eguinoa P, 2017. Informe Proyecto INIA-RTA2012-00065-C05: "Encuesta sobre estructura y sistemas de alimentación de las explotaciones lecheras de Galicia, Cornisa Cantábrica y Navarra" INIA. pp: 1-51.
  • García-Martínez A, Bernués A, Riedel JL, Olaizola AM, 2006. Recent evolution of suckler cow farming systems in the Spanish central Pyrenees. In: Mediterranean livestock production: uncertainties and opportunities; Olaizola A, Boutonnet JP, Bernués A, (eds.). pp. 97-102. CIHEAM, Zaragoza.
  • García-Suárez E, García-Arias AI, Vázquez-González I, 2019. Situación productiva reciente de las explotaciones con bovino en España: el caso de la Cornisa Cantábrica. Econ Agrar Recurs Nat 19(2): 93-111. https://doi.org/10.7201/earn.2019.02.05
  • García-Suárez E, 2021. El sector bovino en Cantabria. Dinámica, caracterización y análisis de su sostenibilidad. Tesis doctoral, Universidad de Santiago de Compostela, España. http://hdl.handle.net/10347/26973.
  • Gibon A, 2005. Managing grassland for production, the environment and the landscape. Challenges at the farm and the landscape level. Livest Prod Sci 96(1): 11-31. https://doi.org/10.1016/j.livprodsci.2005.05.009
  • Gueringer A, Rapey H, Houdart M, Bigot G, Josien E, Landré F, 2009. Adaptability through spatial management: a case study of livestock farms in the Massif Central, France. Outlook on Agriculture 38(2): 111-118. https://doi.org/10.5367/000000009788632430
  • Hadjigeorgiou I, Osoro K, De Almeida JF, Molle G, 2005. Southern European grazing lands: production, environmental and landscape management aspects. Livest Prod Sci 96(1): 51-59. https://doi.org/10.1016/j.livprodsci.2005.05.016
  • Hanrahan L, McHugh N, Hennessy T, Moran B, Kearney R, Wallace M, et al., 2018. Factors associated with profitability in pasture-based systems of milk production. J Dairy Sci 101(6): 5474-5485. https://doi.org/10.3168/jds.2017-13223
  • Hennessy D, Delaby L, van den Pol-van Dasselaar A, Shalloo L, 2020. Increasing grazing in dairy cow milk production systems in Europe. Sustainability 12(6): 2443. https://doi.org/10.3390/su12062443
  • Huyghe C, De Vliegher A, Van Gils B, Peeters A, 2014. Grasslands and herbivore production in Europe and effects of common policies. Editions Quae. https://doi.org/10.35690/978-2-7592-2157-8
  • Iraizoz B, Gorton M, Davidova S, 2007. Segmenting farms for analysing agricultural trajectories: A case study of the Navarra region in Spain. Agr Syst 93(1-3): 143-169. https://doi.org/10.1016/j.agsy.2006.05.002
  • Jiménez-Calderón JD, Santiago C, Martínez-Fernández A, Vicente F, 2015. Current state of the feeding systems on dairy farms in the Principality of Asturias (Spain). Proc 18th Symposium of the EGF, pp. 15-17.
  • Köbrich C, Rehman T, Khan M, 2003. Typification of farming systems for constructing representative farm models: two illustrations of the application of multi-variate analyses in Chile and Pakistan. Agr Syst 76(1): 141-157. https://doi.org/10.1016/S0308-521X(02)00013-6
  • Lombardi G, Peira G, Cortese D, 2019. The supply chains of cow grass-fed milk. In: Milk-based beverages, pp. 297-330. Woodhead Publishing. https://doi.org/10.1016/B978-0-12-815504-2.00009-8
  • McGarigal K, 2017. Landscape metrics for categorical map patterns. Lecture Notes. https://opencourses.ionio.gr/modules/document/file.php/TFP122/%CE%98%CE%95%CE%A9%CE%A1%CE%99%CE%91/%CE%94%CE%95%CE%99%CE%9A%CE%A4%CE%95%CE%A3%20%CE%A4%CE%9F%CE%A0%CE%99%CE%9F%CE%A5/Landscape%20metrics.pdf [10/20].
  • NRC, 2001. Nutrient requirements of dairy cattle, 7th ed; National Research Council, National Academies Press, Washington, DC, USA.
  • Olaizola A, Bernués A, Blasco I, Sanz A, 2012. Perspectivas de una carne de calidad diferenciada: análisis exploratorio para la carne de vacuno "Serrana de Teruel". Inf Tec Econ Agr 108: 1-17.
  • Qi A, Holland RA, Taylor G, Richter GM, 2018. Grassland futures in Great Britain-Productivity assessment and scenarios for land use change opportunities. Sci Total Environ 634: 1108-1118. https://doi.org/10.1016/j.scitotenv.2018.03.395
  • Roca-Fernández AI, 2014. Animal factors condition milk performance and quality of grazing dairy cows. Iran J Appl Anim Sci 4(1): 1-20.
  • Santiago C, Vicente F, Jiménez-Calderón JD, Soldado A, Martínez-Fernández A, 2017. Caracterización de los actuales modelos de alimentación para la producción de leche de vaca en Asturias (España) y su influencia sobre la producción de la leche. Inf Tec Econ Agr 113: 335-346. https://doi.org/10.12706/itea.2017.021
  • Schmit C, Rounsevell MD, La Jeunesse I, 2006. The limitations of spatial land use data in environmental analysis. Environ Sci Policy 9(2): 174-188. https://doi.org/10.1016/j.envsci.2005.11.006
  • Sineiro F, Santiso J, Calcedo V, Lorenzana R, 2010. El sector lácteo: escenarios de evolución. COVAP. I premio internacional ganadería COVAP. Pozoblanco, Córdoba: pp: 50-53.
  • Slots T, Butler G, Leifert C, Kristensen T, Skibsted LH, Nielsen JH, 2009. Potentials to differentiate milk composition by different feeding strategies. J Dairy Sci 92(5): 2057-2066. https://doi.org/10.3168/jds.2008-1392
  • Snider MA, Ziegler SE, Darby HM, Soder KJ, Brito AF, Beidler B, et al., 2021. An overview of organic, grassfed dairy farm management and factors related to higher milk production. Renew Agr Food Syst 37: 624-632. https://doi.org/10.1017/S1742170521000284
  • Sturaro E, Marchiori E, Cocca G, Penasa M, Ramanzin M, Bittante G, 2013. Dairy systems in mountainous areas: Farm animal biodiversity, milk production and destination, and land use. Livest Sci 158(1-3): 157-168. https://doi.org/10.1016/j.livsci.2013.09.011
  • Swagemakers P, Dominguez Garcia MD, Onofa Torres A, Oostindie H, Groot JC, 2017. A values-based approach to exploring synergies between livestock farming and landscape conservation in Galicia (Spain). Sustainability 9(11): 1987. https://doi.org/10.3390/su9111987
  • Van den Pol-van Dasselaar A, Becker T, Botana FA, Hennessy T, Peratoner G, 2018. Social and economic impacts of grass based ruminant production. Grassland Sci Eur 23: 697-708.
  • Villar A, Salcedo G, Vázquez-González I, Suárez E, Busqué J, 2021a. Is it possible to estimate the composition of a cow's diet based on the parameters of its milk? Sustainability 13(8): 4474. https://doi.org/10.3390/su13084474
  • Villar A, Vázquez-González I, Vicente F, Salcedo G, González L, Botana A, et al., 2021b. Study of the variability in fatty acids and carotenoid profiles: Laying the ground for tank milk authentication. Sustainability 13(8): 4506. https://doi.org/10.3390/su13084506
  • Wehn S, 2009. A map-based method for exploring responses to different levels of grazing pressure at the landscape scale. Agr Ecosyst Environ 129(1-3): 177-181. https://doi.org/10.1016/j.agee.2008.08.009
Fonte de datos: Dialnet