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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
12/07/2022 |
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Actualizado : |
12/07/2022 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
FARIÑA, S.; BAUDRACCO, J.; BARGO, F. |
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Afiliación : |
SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria); JAVIER BAUDRACCO, Facultad de Ciencias Agrarias /IciAgro Litoral CONICET, Universidad Nacional del Litoral (UNL), Esperanza, Santa Fe, Argentina.; FERNANDO BARGO, Escuela Graduados, Facultad Agronomia UBA, Buenos Aires, Argentina. |
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Título : |
Dairy production in diverse regions: Latin America. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
In: Encyclopedia of Dairy Sciences: Third edition, 2022, Volume 2, Pages 244?252. Doi: https://doi.org/10.1016/B978-0-12-818766-1.00052-0 |
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DOI : |
10.1016/B978-0-12-818766-1.00052-0 |
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Idioma : |
Inglés |
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Contenido : |
Introduction:
The development and growth of the dairy industry across Latin America and the Caribbean (LAC) has been historically driven by a combination of: (i) the domestic demand for fresh milk, butter and cheese from the urban population; (ii) the influence of skilled European immigrants with a dairy farming culture and; (iii) the suitability of the climate and lands for both feed and animal production (Gómez and Zubizarreta, 2013). With the growth of urban settlements, dairy farming also grew in order to provide a source of income and milk consumption for families. Many of the dairy industries in LAC were developed in areas suitable for farming ands areas close to the main cities which needed a daily supply of fresh milk.
The LAC region produces 78,238 million kg of milk per year, accounting for 11.4% of total worldwide production (FAO, 2020). There are 39 countries that produce milk in LAC, with 13 of them accounting for 97% of the total LAC production and 4 of them (Argentina, Brazil, Colombia and Mexico) representing 80% of total LAC milk production. For descriptive purposes, we will refer from here onwards to four sub-regions within the LAC region: North America (comprising Mexico), Central America and the Caribbean (comprising continental countries below Mexico and above Colombia plus the Caribbean countries), the Andean Region (comprising Bolivia, Colombia, Ecuador, Peru, and Venezuela) and the Southern Cone (comprising Argentina, Brazil, Chile, Paraguay and Uruguay). The latter two sub-regions (Andean Region and Southern Cone) will be in some cases grouped as South America. In this chapter we present a succinct description of how milk is produced in the LAC region. Focus is placed on general dairy statistics, milk production systems, their characteristics and evolution, discussing trends and drivers. A brief outline of the economic and social context of the countries is also provided. MenosIntroduction:
The development and growth of the dairy industry across Latin America and the Caribbean (LAC) has been historically driven by a combination of: (i) the domestic demand for fresh milk, butter and cheese from the urban population; (ii) the influence of skilled European immigrants with a dairy farming culture and; (iii) the suitability of the climate and lands for both feed and animal production (Gómez and Zubizarreta, 2013). With the growth of urban settlements, dairy farming also grew in order to provide a source of income and milk consumption for families. Many of the dairy industries in LAC were developed in areas suitable for farming ands areas close to the main cities which needed a daily supply of fresh milk.
The LAC region produces 78,238 million kg of milk per year, accounting for 11.4% of total worldwide production (FAO, 2020). There are 39 countries that produce milk in LAC, with 13 of them accounting for 97% of the total LAC production and 4 of them (Argentina, Brazil, Colombia and Mexico) representing 80% of total LAC milk production. For descriptive purposes, we will refer from here onwards to four sub-regions within the LAC region: North America (comprising Mexico), Central America and the Caribbean (comprising continental countries below Mexico and above Colombia plus the Caribbean countries), the Andean Region (comprising Bolivia, Colombia, Ecuador, Peru, and Venezuela) and the Southern Cone (comprising Argentina, Brazil, Chile, Paraguay and Urugu... Presentar Todo |
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Palabras claves : |
Consumption of milk; Dairy farming evolution; Economic framework; Latin America and the Caribbean (LAC); MILK PRODUCTION; Social framework. |
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Thesagro : |
PRODUCCION LECHERA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02740naa a2200241 a 4500
001 1063418
005 2022-07-12
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1016/B978-0-12-818766-1.00052-0$2DOI
100 1 $aFARIÑA, S.
245 $aDairy production in diverse regions$bLatin America.$h[electronic resource]
260 $c2022
520 $aIntroduction: The development and growth of the dairy industry across Latin America and the Caribbean (LAC) has been historically driven by a combination of: (i) the domestic demand for fresh milk, butter and cheese from the urban population; (ii) the influence of skilled European immigrants with a dairy farming culture and; (iii) the suitability of the climate and lands for both feed and animal production (Gómez and Zubizarreta, 2013). With the growth of urban settlements, dairy farming also grew in order to provide a source of income and milk consumption for families. Many of the dairy industries in LAC were developed in areas suitable for farming ands areas close to the main cities which needed a daily supply of fresh milk. The LAC region produces 78,238 million kg of milk per year, accounting for 11.4% of total worldwide production (FAO, 2020). There are 39 countries that produce milk in LAC, with 13 of them accounting for 97% of the total LAC production and 4 of them (Argentina, Brazil, Colombia and Mexico) representing 80% of total LAC milk production. For descriptive purposes, we will refer from here onwards to four sub-regions within the LAC region: North America (comprising Mexico), Central America and the Caribbean (comprising continental countries below Mexico and above Colombia plus the Caribbean countries), the Andean Region (comprising Bolivia, Colombia, Ecuador, Peru, and Venezuela) and the Southern Cone (comprising Argentina, Brazil, Chile, Paraguay and Uruguay). The latter two sub-regions (Andean Region and Southern Cone) will be in some cases grouped as South America. In this chapter we present a succinct description of how milk is produced in the LAC region. Focus is placed on general dairy statistics, milk production systems, their characteristics and evolution, discussing trends and drivers. A brief outline of the economic and social context of the countries is also provided.
650 $aPRODUCCION LECHERA
653 $aConsumption of milk
653 $aDairy farming evolution
653 $aEconomic framework
653 $aLatin America and the Caribbean (LAC)
653 $aMILK PRODUCTION
653 $aSocial framework
700 1 $aBAUDRACCO, J.
700 1 $aBARGO, F.
773 $tIn: Encyclopedia of Dairy Sciences: Third edition, 2022, Volume 2, Pages 244?252. Doi: https://doi.org/10.1016/B978-0-12-818766-1.00052-0
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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
25/05/2023 |
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Actualizado : |
25/05/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
GARAYCOCHEA, S.; ALTIER, N.; LEONI, C.; NEAL, A.L.; ROMERO, H. |
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Afiliación : |
SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NORA ADRIANA ALTIER MANZINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDREW L. NEAL, Net-Zero and Resilient Farming, Rothamsted Research, North Wyke, Okehampton, United Kingdom; HÉCTOR ROMERO, Laboratorio de Organización y Evolución del Genoma/Genómica Evolutiva, Departamento de Ecolog??a y Evolución, Facultad de Ciencias/CURE, Universidad de la República, Maldonado, Uruguay. |
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Título : |
Abundance and phylogenetic distribution of eight key enzymes of the phosphorus biogeochemical cycle in grassland soils. |
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Complemento del título : |
Research article. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Environmental Microbiology Reports, 2023. https://doi.org/10.1111/1758-2229.13159 --OPEN ACCESS. [Article in Press] |
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ISSN : |
1758-2229 |
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DOI : |
10.1111/1758-2229.13159 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 28 December 2022; Accepted 12 April 2023. -- Correspondence: Héctor Romero, Laboratorio de Organización y Evolución del Genoma/Genómica Evolutiva, Departamento de Ecología y Evolución, Facultad de Ciencias/CURE, Universidad de la República, Maldonado, Uruguay. Email: eletor@fcien.edu.uy ; Silvia Garaycochea, Instituto Nacional de Investigacion Agropecuaria (INIA), Estación Experimental INIA Las Brujas, Ruta 48 Km 10, Canelones, 90200, Uruguay. Email: sgaraycochea@inia.org.uy -- Funding: This work was funded by the Instituto Nacional de Investigación Agropecuaria, INIA (Project SA47, SA 26 and SA 24), Agencia Nacional de Investigación e Innovación (POS NAC 2015 1 110075). -- License: This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ ) -- Supporting information: Additional supporting information can be found online
in the Supporting Information section at the end of this article. |
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Contenido : |
Grassland biomes provide valuable ecosystem services, including nutrient cycling. Organic phosphorus (Po) represents more than half of the total P in soils. Soil microorganisms release organic P through enzymatic processes, with alkaline phosphatases, acid phosphatases and phytases being the key P enzymes involved in the cycling of organic P. This study analysed 74 soil metagenomes from 17 different grassland biomes worldwide to evaluate the distribution and abundance of eight key P enzymes (PhoD, PhoX, PhoA, Nsap-A, Nsap-B, Nsap-C, BPP and CPhy) and their relationship with environmental factors. Our analyses showed that alkaline phosphatase phoD was the dataset's most abundant P-enzyme encoding genes, with a wide phylogenetic distribution. Followed by the acid phosphatases Nsap-A and Nsap-C showed similar abundance but a different distribution in their respective phylogenetic trees. Multivariate analyses revealed that pH, Tmax, SOC and soil moisture were associated with the abundance and diversity of all genes studied. PhoD and phoX genes strongly correlated with SOC and clay, and the phoX gene was more common in soils with low to medium SOC and neutral pH. In particular, P-enzyme genes tended to respond in a positively correlated manner among them, suggesting a complex relationship of abundance and diversity among them. © 2023 The Authors. Environmental Microbiology Reports published by Applied Microbiology International and John Wiley & Sons Ltd. |
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Palabras claves : |
Biomass; Biomes; Ecosystem; Grasslands; Statistical analyses. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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URL : |
https://ami-journals.onlinelibrary.wiley.com/doi/pdf/10.1111/1758-2229.13159
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Marc : |
LEADER 03302naa a2200265 a 4500
001 1064166
005 2023-05-25
008 2023 bl uuuu u00u1 u #d
022 $a1758-2229
024 7 $a10.1111/1758-2229.13159$2DOI
100 1 $aGARAYCOCHEA, S.
245 $aAbundance and phylogenetic distribution of eight key enzymes of the phosphorus biogeochemical cycle in grassland soils.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 28 December 2022; Accepted 12 April 2023. -- Correspondence: Héctor Romero, Laboratorio de Organización y Evolución del Genoma/Genómica Evolutiva, Departamento de Ecología y Evolución, Facultad de Ciencias/CURE, Universidad de la República, Maldonado, Uruguay. Email: eletor@fcien.edu.uy ; Silvia Garaycochea, Instituto Nacional de Investigacion Agropecuaria (INIA), Estación Experimental INIA Las Brujas, Ruta 48 Km 10, Canelones, 90200, Uruguay. Email: sgaraycochea@inia.org.uy -- Funding: This work was funded by the Instituto Nacional de Investigación Agropecuaria, INIA (Project SA47, SA 26 and SA 24), Agencia Nacional de Investigación e Innovación (POS NAC 2015 1 110075). -- License: This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ ) -- Supporting information: Additional supporting information can be found online in the Supporting Information section at the end of this article.
520 $aGrassland biomes provide valuable ecosystem services, including nutrient cycling. Organic phosphorus (Po) represents more than half of the total P in soils. Soil microorganisms release organic P through enzymatic processes, with alkaline phosphatases, acid phosphatases and phytases being the key P enzymes involved in the cycling of organic P. This study analysed 74 soil metagenomes from 17 different grassland biomes worldwide to evaluate the distribution and abundance of eight key P enzymes (PhoD, PhoX, PhoA, Nsap-A, Nsap-B, Nsap-C, BPP and CPhy) and their relationship with environmental factors. Our analyses showed that alkaline phosphatase phoD was the dataset's most abundant P-enzyme encoding genes, with a wide phylogenetic distribution. Followed by the acid phosphatases Nsap-A and Nsap-C showed similar abundance but a different distribution in their respective phylogenetic trees. Multivariate analyses revealed that pH, Tmax, SOC and soil moisture were associated with the abundance and diversity of all genes studied. PhoD and phoX genes strongly correlated with SOC and clay, and the phoX gene was more common in soils with low to medium SOC and neutral pH. In particular, P-enzyme genes tended to respond in a positively correlated manner among them, suggesting a complex relationship of abundance and diversity among them. © 2023 The Authors. Environmental Microbiology Reports published by Applied Microbiology International and John Wiley & Sons Ltd.
653 $aBiomass
653 $aBiomes
653 $aEcosystem
653 $aGrasslands
653 $aStatistical analyses
700 1 $aALTIER, N.
700 1 $aLEONI, C.
700 1 $aNEAL, A.L.
700 1 $aROMERO, H.
773 $tEnvironmental Microbiology Reports, 2023. https://doi.org/10.1111/1758-2229.13159 --OPEN ACCESS. [Article in Press]
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