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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
13/06/2023 |
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Actualizado : |
13/06/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
TECHEIRA, N.; KEEL, K.; GARAY, A.; HARTE, F.; MENDOZA, A.; FARIÑA, S.; LÓPEZ-PEDEMONTE, T. |
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Afiliación : |
N. TECHEIRA, Unidad de Ciencia y Tecnología de Lácteos, Universidad Tecnológica del Uruguay, 70200, La Paz, Colonia, Uruguay; K. KEEL, Unidad de Ciencia y Tecnología de Lácteos, Universidad Tecnológica del Uruguay, 70200, La Paz, Colonia, Uruguay; A. GARAY, Unidad de Ciencia y Tecnología de Lácteos, Universidad Tecnológica del Uruguay, 70200, La Paz, Colonia, Uruguay; F. HARTE, Department of Food Science, Pennsylvania State University, State College 16802; ALEJANDRO FRANCISCO MENDOZA AGUIAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria); T. LÓPEZ-PEDEMONTE, Unidad de Ciencia y Tecnología de Lácteos, Universidad Tecnológica del Uruguay, 70200, La Paz, Colonia, Uruguay. |
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Título : |
Milk fatty acid profile from grass feeding strategies on 2 Holstein genotypes: Implications for health and technological properties. (Short Communication, Dairy Foods). |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
JDS Communications. May 2023, Volume 4, Issue 3, Pages 169-174. https://doi.org/10.3168/jdsc.2022-0273 -- OPEN ACCESS. |
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ISSN : |
2666-9102. |
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DOI : |
10.3168/jdsc.2022-0273 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 14 June 2022, Accepted 17 November 2022, Available online 16 February 2023, Version of Record 8 June 2023. -- Corresponding author: nora.techeira@utec.edu.uy -- Funding: This study received no external funding. -- License: This is an open access article under the CC BY license (http://
creativecommons.org/licenses/by/4.0/) -- |
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Contenido : |
ABSTRACT.- The objective of the study was to determine if a feeding system with a variable supply of grass promoted rapid changes in the fatty acid profile and technological and health indices of milk obtained from North American (NAHF) and New Zealand (NZHF) Holstein-Friesian cows. Two feeding strategies were conducted: fixed grass (GFix) and maximized grass intake when available (GMax). The results showed that as the grass intake increased in the GMax treatments, the relative amount of palmitic acid in milk decreased, whereas oleic, linoleic, linolenic, and conjugated linoleic acids increased, causing a reduction in the atherogenic, thrombogenic, and spreadability calculated indices. The changes occurred in rapid response to the changing diet, with reductions ranging from approximately 5 to 15% in the healthy and technological indices within a period of 15 d of grass intake increase. Differences were found between the 2 genotypes, with NZHF responding faster to changes in grass intake. © 2023, The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association. |
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Palabras claves : |
Feeding system; Fixed grass (GFix); Maximized grass (GMax); Milk. |
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Asunto categoría : |
L02 Alimentación animal |
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URL : |
https://www.sciencedirect.com/science/article/pii/S2666910223000200/pdf
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Marc : |
LEADER 02387naa a2200277 a 4500
001 1064190
005 2023-06-13
008 2023 bl uuuu u00u1 u #d
022 $a2666-9102.
024 7 $a10.3168/jdsc.2022-0273$2DOI
100 1 $aTECHEIRA, N.
245 $aMilk fatty acid profile from grass feeding strategies on 2 Holstein genotypes$bImplications for health and technological properties. (Short Communication, Dairy Foods).$h[electronic resource]
260 $c2023
500 $aArticle history: Received 14 June 2022, Accepted 17 November 2022, Available online 16 February 2023, Version of Record 8 June 2023. -- Corresponding author: nora.techeira@utec.edu.uy -- Funding: This study received no external funding. -- License: This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/) --
520 $aABSTRACT.- The objective of the study was to determine if a feeding system with a variable supply of grass promoted rapid changes in the fatty acid profile and technological and health indices of milk obtained from North American (NAHF) and New Zealand (NZHF) Holstein-Friesian cows. Two feeding strategies were conducted: fixed grass (GFix) and maximized grass intake when available (GMax). The results showed that as the grass intake increased in the GMax treatments, the relative amount of palmitic acid in milk decreased, whereas oleic, linoleic, linolenic, and conjugated linoleic acids increased, causing a reduction in the atherogenic, thrombogenic, and spreadability calculated indices. The changes occurred in rapid response to the changing diet, with reductions ranging from approximately 5 to 15% in the healthy and technological indices within a period of 15 d of grass intake increase. Differences were found between the 2 genotypes, with NZHF responding faster to changes in grass intake. © 2023, The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association.
653 $aFeeding system
653 $aFixed grass (GFix)
653 $aMaximized grass (GMax)
653 $aMilk
700 1 $aKEEL, K.
700 1 $aGARAY, A.
700 1 $aHARTE, F.
700 1 $aMENDOZA, A.
700 1 $aFARIÑA, S.
700 1 $aLÓPEZ-PEDEMONTE, T.
773 $tJDS Communications. May 2023, Volume 4, Issue 3, Pages 169-174. https://doi.org/10.3168/jdsc.2022-0273 -- OPEN ACCESS.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
09/06/2023 |
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Actualizado : |
09/06/2023 |
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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 : |
RIZZO-MARTÍN, I.; HIRIGOYEN, A.; ARTHUS-BACOVICH, R.; VARO-MARTÍNEZ, M.A.; NAVARRO-CERRILLO, R. |
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Afiliación : |
IVÁN RIZZO-MARTÍN, Department of Forest Production and Wood Technology, Faculty of Agronomy, University of the Republic, Montevideo 12900, Uruguay; ANDRES EDUARDO HIRIGOYEN DOMINGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RODRIGO ARTHUS-BACOVICH, Observatory of Global Change of the Mediterranean Forest, Department of Forest Engineering, University of Córdoba, E-14071 Córdoba, Spain; MARÍA ÁNGELES VARO-MARTÍNEZ, Department of Forestry Engineering, Laboratory of Silviculture, Dendrochronology and Climate Change, DendrodatLab-ERSAF, University of Cordoba, Campus de Rabanales, Crta. IV, km. 396, E-14071 Córdoba, Spain; RAFAEL NAVARRO-CERRILLO, Department of Forestry Engineering, Laboratory of Silviculture, Dendrochronology and Climate Change, DendrodatLab-ERSAF, University of Cordoba, Campus de Rabanales, Crta. IV, km. 396, E-14071 Córdoba, Spain. |
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Título : |
Site index estimation using airborne laser scanner data in Eucalyptus dunnii Maide stands in Uruguay. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Forests, 2023, Volume 14, Issue 5, article 933. https://doi.org/10.3390/f14050933 -- OPEN ACCESS. |
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ISSN : |
1999-4907 (electronic). |
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DOI : |
10.3390/f14050933 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 16 March 2023; Revised 23 April 2023; Accepted 27 April 2023; Published 1 May 2023. -- Correspondence: Rizzo-Martín, I.; Department of Forest Production and Wood Technology, Faculty of Agronomy, University of the Republic, Montevideo, Uruguay; email:ivan-rizzo@hotmail.com -- Funding: This research was funded by SILVADAPT.NET (RED2018-102719-T), EVIDENCE (Ref: 2822/2021) and REMEDIO (PID2021-128463OB-I00). -- This article belongs to the Special Issue Application of Laser Scanning and Satellite Image in Forest Mensuration (https://www.mdpi.com/journal/forests/special_issues/Application_Mensuration ). -- License: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
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Contenido : |
Intensive silviculture demands new inventory tools for better forest management and planning. Airborne laser scanning (ALS) was shown to be one of the best alternatives for high-precision inventories applied to productive plantations. The aim of this study was to generate multiple stand-scale maps of the site index (SI) using ALS data in the intensive silviculture of Eucalyptus dunnii Maide plantations in Uruguay. Forty-three plots (314.16 m3) were established in intensive E. dunnii plantations in the departments of Río Negro and Paysandú (Uruguay). ALS data were obtained for an area of 1995 ha. Linear and Random Forest models were fitted to estimate the height and site index, and OrpheoToolBox (OTB) software was used for stand segmentation. Linear models for dominant height (DH) estimation had a better fit (R2 = 0.84, RMSE = 0.94 m, MAPE = 0.04, Bias = 0.002) than the Random Forest (R2 = 0.85, RMSE = 1.27 m, MAPE = 7.20, Bias=-0.173) model when including only the 99th percentile metric. The coefficient between RMSE values of the cross-validation and RMSE of the model had a higher value for the linear model (0.93) than the Random Forest (0.75). The SI was estimated by applying the RF model, which included the ALS metrics corresponding to the 99th height percentile and the 80th height bicentile (R2 = 0.65; RMSE = 1.62 m). OTB segmentation made it possible to define a minimum segment size of 2.03 ha (spatial radius = 30, range radius = 1 and minimum region size = 64). This study provides a new tool for better forest management and promotes the need for further progress in the application of ALS data in the intensive silviculture of Eucalyptus spp. plantations in Uruguay. © 2023 by the authors. Licensee MDPI, Basel, Switzerland. MenosIntensive silviculture demands new inventory tools for better forest management and planning. Airborne laser scanning (ALS) was shown to be one of the best alternatives for high-precision inventories applied to productive plantations. The aim of this study was to generate multiple stand-scale maps of the site index (SI) using ALS data in the intensive silviculture of Eucalyptus dunnii Maide plantations in Uruguay. Forty-three plots (314.16 m3) were established in intensive E. dunnii plantations in the departments of Río Negro and Paysandú (Uruguay). ALS data were obtained for an area of 1995 ha. Linear and Random Forest models were fitted to estimate the height and site index, and OrpheoToolBox (OTB) software was used for stand segmentation. Linear models for dominant height (DH) estimation had a better fit (R2 = 0.84, RMSE = 0.94 m, MAPE = 0.04, Bias = 0.002) than the Random Forest (R2 = 0.85, RMSE = 1.27 m, MAPE = 7.20, Bias=-0.173) model when including only the 99th percentile metric. The coefficient between RMSE values of the cross-validation and RMSE of the model had a higher value for the linear model (0.93) than the Random Forest (0.75). The SI was estimated by applying the RF model, which included the ALS metrics corresponding to the 99th height percentile and the 80th height bicentile (R2 = 0.65; RMSE = 1.62 m). OTB segmentation made it possible to define a minimum segment size of 2.03 ha (spatial radius = 30, range radius = 1 and minimum region size = 64). This stu... Presentar Todo |
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Palabras claves : |
Eucaliptus spp; LiDAR; Orpheo ToolBox (OTB); Precision silvicultural; Random forest; Site Index; Stand segmentation. |
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Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
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URL : |
https://www.mdpi.com/1999-4907/14/5/933/pdf
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Marc : |
LEADER 03491naa a2200289 a 4500
001 1064185
005 2023-06-09
008 2023 bl uuuu u00u1 u #d
022 $a1999-4907 (electronic).
024 7 $a10.3390/f14050933$2DOI
100 1 $aRIZZO-MARTÍN, I.
245 $aSite index estimation using airborne laser scanner data in Eucalyptus dunnii Maide stands in Uruguay.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 16 March 2023; Revised 23 April 2023; Accepted 27 April 2023; Published 1 May 2023. -- Correspondence: Rizzo-Martín, I.; Department of Forest Production and Wood Technology, Faculty of Agronomy, University of the Republic, Montevideo, Uruguay; email:ivan-rizzo@hotmail.com -- Funding: This research was funded by SILVADAPT.NET (RED2018-102719-T), EVIDENCE (Ref: 2822/2021) and REMEDIO (PID2021-128463OB-I00). -- This article belongs to the Special Issue Application of Laser Scanning and Satellite Image in Forest Mensuration (https://www.mdpi.com/journal/forests/special_issues/Application_Mensuration ). -- License: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
520 $aIntensive silviculture demands new inventory tools for better forest management and planning. Airborne laser scanning (ALS) was shown to be one of the best alternatives for high-precision inventories applied to productive plantations. The aim of this study was to generate multiple stand-scale maps of the site index (SI) using ALS data in the intensive silviculture of Eucalyptus dunnii Maide plantations in Uruguay. Forty-three plots (314.16 m3) were established in intensive E. dunnii plantations in the departments of Río Negro and Paysandú (Uruguay). ALS data were obtained for an area of 1995 ha. Linear and Random Forest models were fitted to estimate the height and site index, and OrpheoToolBox (OTB) software was used for stand segmentation. Linear models for dominant height (DH) estimation had a better fit (R2 = 0.84, RMSE = 0.94 m, MAPE = 0.04, Bias = 0.002) than the Random Forest (R2 = 0.85, RMSE = 1.27 m, MAPE = 7.20, Bias=-0.173) model when including only the 99th percentile metric. The coefficient between RMSE values of the cross-validation and RMSE of the model had a higher value for the linear model (0.93) than the Random Forest (0.75). The SI was estimated by applying the RF model, which included the ALS metrics corresponding to the 99th height percentile and the 80th height bicentile (R2 = 0.65; RMSE = 1.62 m). OTB segmentation made it possible to define a minimum segment size of 2.03 ha (spatial radius = 30, range radius = 1 and minimum region size = 64). This study provides a new tool for better forest management and promotes the need for further progress in the application of ALS data in the intensive silviculture of Eucalyptus spp. plantations in Uruguay. © 2023 by the authors. Licensee MDPI, Basel, Switzerland.
653 $aEucaliptus spp
653 $aLiDAR
653 $aOrpheo ToolBox (OTB)
653 $aPrecision silvicultural
653 $aRandom forest
653 $aSite Index
653 $aStand segmentation
700 1 $aHIRIGOYEN, A.
700 1 $aARTHUS-BACOVICH, R.
700 1 $aVARO-MARTÍNEZ, M.A.
700 1 $aNAVARRO-CERRILLO, R.
773 $tForests, 2023, Volume 14, Issue 5, article 933. https://doi.org/10.3390/f14050933 -- OPEN ACCESS.
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