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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
29/10/2014 |
Actualizado : |
30/09/2019 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
DURAN, H.; LÓPEZ-VILLALOBOS, N.; ALLES, G.; LA MANNA, A.; RAVAGNOLO, O. |
Afiliación : |
HENRY DURAN OUDRI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; N. LÓPEZ-VILLALOBOS, Massey University (NZ); ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OLGA RAVAGNOLO GUMILA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Development and validation of a mechanistic whole dairy farm model to evaluate farming strategies under grazing conditions in Uruguay. |
Complemento del título : |
Conference Proceeding. |
Fecha de publicación : |
2009 |
Fuente / Imprenta : |
In:18th World IMACS Congress and MODSIM International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings. Cairns, Australia 13-17 July 2009, p.512-518. |
Descripción física : |
2-s2.0-80053020568 |
ISBN : |
978-097584007-8 |
Idioma : |
Inglés |
Notas : |
Sponsors: CSIRO, Australian Mathematical Sciences Institute, Griffith University,eWater Cooperative Research Centre, Department of Sustainability and Environment. |
Contenido : |
ABSTRACT.
A mechanistic, dynamic whole farm simulation model was developed to evaluate the effect of farming strategies on the productivity of dairy grazing systems. The model integrates local available information on pasture growth and quality and current knowledge on animal nutrition and metabolism. The pastoral component simulates the pasture rotation structure of the farm, with variable number and size of paddocks, to which the user must assign a pasture type from an available database. Each pasture type is represented by initial herbage mass (HM) and two vectors: monthly dry matter (DM) growth rate values and organic matter digestibility (OMD) values. The model is driven by pasture growth rate (PGR) on a monthly interval step. Several pasture production and management strategies can be defined as a per paddock basis. The cows are defined in terms of their potential for milk production (MPP), body condition score (BCS, scale 1-5), biotype Frame (body weight with BCS of 3), calving date, and contents of fat and protein in milk. These variables are used to characterize the average of up to six groups of adult cows which are defined by the user to represent the current situation of a dairy farm or a theoretical system. Average grazing DM intake (DMI) of each calving group of cows is estimated considering animal factors: Frame, MPP and days in milk (DIM); pasture factors: OMD, pre-grazing HM (pg-HM) and substitution rate (SR) of supplementary feed. The model is based on metabolisable energy (ME) and environmental thermo neutrality is assumed. Total ME intake (MEI) is partitioned among body functions following a defined priority: maintenance, pregnancy, milk production potential and body reserves (BR). One distinct feature of this model is that the approach used implies an active role of BR in defining the partition of MEI. If ME balance for potential milk is not achieved then BR are mobilized at a constant rate (κ) to give an absolute amount which is proportional to the current size of estimated mass of BR, whose initial level is set when inputting the initial BCS. Another feature of this model is that it can manage decisions taken at different system levels (pasture rotation structure, annual DM yield and seasonal distribution, reserves production and supplementation strategies, variables stocking rates, effects of animal size, BCS, milk potential, etc.), to quantitatively assess the impact of these decisions on cows and farm productivity. The model output was initially validated at the "cow biotype level" using published farmlet trials. The relative prediction error (RPE) and concordance correlation coefficient (CCC) were used as measures of fitness; models with values of RPE less than 10% and values of CCC greater than 0.90 were considered to have significant predictive power. Daily milk yield per cow, live weight and BCS change through the lactation were validated using a set of 12 monthly values for each trait, obtained from cows of contrasting body sizes (Heavy and Light).The RPE and CCC were 16% and 0.94 in Heavy, 20% and 0.87 in Light cows for milk yield; 3% and 0.72 in Heavy, 2% and 0.81 in Light cows for live weight; 6% and 0.18 in Heavy and 9% and -0.47 in Light cows for BCS change. Monthly intake of pasture per ha was validated using another independent set of 12 average monthly values for each of 5 farmlet stocking rates treatments (2.2; 2.7; 3.1; 3.7 and 4.3 cows/ha). RPE and CCC were: 13% and 0.77; 9% and 0.87; 12% and 0.93; 13% and 0.91; 16% and 0.88 respectively. The model was responsive to contrasting cow type and farming management. These results show that the model has acceptable predictive power and can be used to better understand actual farming systems and also to evaluate the expected productive impact of some technical changes introduced at the farm level. MenosABSTRACT.
A mechanistic, dynamic whole farm simulation model was developed to evaluate the effect of farming strategies on the productivity of dairy grazing systems. The model integrates local available information on pasture growth and quality and current knowledge on animal nutrition and metabolism. The pastoral component simulates the pasture rotation structure of the farm, with variable number and size of paddocks, to which the user must assign a pasture type from an available database. Each pasture type is represented by initial herbage mass (HM) and two vectors: monthly dry matter (DM) growth rate values and organic matter digestibility (OMD) values. The model is driven by pasture growth rate (PGR) on a monthly interval step. Several pasture production and management strategies can be defined as a per paddock basis. The cows are defined in terms of their potential for milk production (MPP), body condition score (BCS, scale 1-5), biotype Frame (body weight with BCS of 3), calving date, and contents of fat and protein in milk. These variables are used to characterize the average of up to six groups of adult cows which are defined by the user to represent the current situation of a dairy farm or a theoretical system. Average grazing DM intake (DMI) of each calving group of cows is estimated considering animal factors: Frame, MPP and days in milk (DIM); pasture factors: OMD, pre-grazing HM (pg-HM) and substitution rate (SR) of supplementary feed. The model is based on met... Presentar Todo |
Thesagro : |
GANADO DE LECHE; MATERIA SECA; PASTURAS; PRODUCCION DE LECHE; SISTEMAS DE CULTIVO. |
Asunto categoría : |
-- |
Marc : |
LEADER 04979nam a2200253 a 4500 001 1051369 005 2019-09-30 008 2009 bl uuuu u01u1 u #d 020 $a978-097584007-8 100 1 $aDURAN, H. 245 $aDevelopment and validation of a mechanistic whole dairy farm model to evaluate farming strategies under grazing conditions in Uruguay.$h[electronic resource] 260 $aIn:18th World IMACS Congress and MODSIM International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings. Cairns, Australia 13-17 July 2009, p.512-518.$c2009 300 $c2-s2.0-80053020568 500 $aSponsors: CSIRO, Australian Mathematical Sciences Institute, Griffith University,eWater Cooperative Research Centre, Department of Sustainability and Environment. 520 $aABSTRACT. A mechanistic, dynamic whole farm simulation model was developed to evaluate the effect of farming strategies on the productivity of dairy grazing systems. The model integrates local available information on pasture growth and quality and current knowledge on animal nutrition and metabolism. The pastoral component simulates the pasture rotation structure of the farm, with variable number and size of paddocks, to which the user must assign a pasture type from an available database. Each pasture type is represented by initial herbage mass (HM) and two vectors: monthly dry matter (DM) growth rate values and organic matter digestibility (OMD) values. The model is driven by pasture growth rate (PGR) on a monthly interval step. Several pasture production and management strategies can be defined as a per paddock basis. The cows are defined in terms of their potential for milk production (MPP), body condition score (BCS, scale 1-5), biotype Frame (body weight with BCS of 3), calving date, and contents of fat and protein in milk. These variables are used to characterize the average of up to six groups of adult cows which are defined by the user to represent the current situation of a dairy farm or a theoretical system. Average grazing DM intake (DMI) of each calving group of cows is estimated considering animal factors: Frame, MPP and days in milk (DIM); pasture factors: OMD, pre-grazing HM (pg-HM) and substitution rate (SR) of supplementary feed. The model is based on metabolisable energy (ME) and environmental thermo neutrality is assumed. Total ME intake (MEI) is partitioned among body functions following a defined priority: maintenance, pregnancy, milk production potential and body reserves (BR). One distinct feature of this model is that the approach used implies an active role of BR in defining the partition of MEI. If ME balance for potential milk is not achieved then BR are mobilized at a constant rate (κ) to give an absolute amount which is proportional to the current size of estimated mass of BR, whose initial level is set when inputting the initial BCS. Another feature of this model is that it can manage decisions taken at different system levels (pasture rotation structure, annual DM yield and seasonal distribution, reserves production and supplementation strategies, variables stocking rates, effects of animal size, BCS, milk potential, etc.), to quantitatively assess the impact of these decisions on cows and farm productivity. The model output was initially validated at the "cow biotype level" using published farmlet trials. The relative prediction error (RPE) and concordance correlation coefficient (CCC) were used as measures of fitness; models with values of RPE less than 10% and values of CCC greater than 0.90 were considered to have significant predictive power. Daily milk yield per cow, live weight and BCS change through the lactation were validated using a set of 12 monthly values for each trait, obtained from cows of contrasting body sizes (Heavy and Light).The RPE and CCC were 16% and 0.94 in Heavy, 20% and 0.87 in Light cows for milk yield; 3% and 0.72 in Heavy, 2% and 0.81 in Light cows for live weight; 6% and 0.18 in Heavy and 9% and -0.47 in Light cows for BCS change. Monthly intake of pasture per ha was validated using another independent set of 12 average monthly values for each of 5 farmlet stocking rates treatments (2.2; 2.7; 3.1; 3.7 and 4.3 cows/ha). RPE and CCC were: 13% and 0.77; 9% and 0.87; 12% and 0.93; 13% and 0.91; 16% and 0.88 respectively. The model was responsive to contrasting cow type and farming management. These results show that the model has acceptable predictive power and can be used to better understand actual farming systems and also to evaluate the expected productive impact of some technical changes introduced at the farm level. 650 $aGANADO DE LECHE 650 $aMATERIA SECA 650 $aPASTURAS 650 $aPRODUCCION DE LECHE 650 $aSISTEMAS DE CULTIVO 700 1 $aLÓPEZ-VILLALOBOS, N. 700 1 $aALLES, G. 700 1 $aLA MANNA, A. 700 1 $aRAVAGNOLO, O.
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
15/06/2022 |
Actualizado : |
15/06/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
GONZÁLEZ, A.; HERNÁNDEZ, J.; DEL PINO, A.; HIRIGOYEN, A. |
Afiliación : |
ALEJANDRO GONZÁLEZ, University of the Republic, College of Agronomy, Soil and Water Department, Montevideo, Uruguay; JORGE HERNÁNDEZ, University of the Republic, College of Agronomy, Soil and Water Department, Montevideo, Uruguay; AMABELIA DEL PINO, University of the Republic, College of Agronomy, Soil and Water Department, Montevideo, Uruguay; ANDRES EDUARDO HIRIGOYEN DOMINGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Nutrient use efficiency in commercial eucalypt plantations in different soils under temperate climate. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Southern Forests: a Journal of Forest Science, 2022. [Article in Press]. doi: https://doi.org/10.2989/20702620.2022.2066488 |
ISSN : |
2070-2620 |
DOI : |
10.2989/20702620.2022.2066488 |
Idioma : |
Inglés |
Notas : |
Article history: Published online 31 May 2022.
Corresponding author: González, A.; University of the Republic, College of Agronomy, Soil and Water Department, Montevideo, Uruguay; email:alejandrogonzalezuruguay@gmail.com |
Contenido : |
ABSTRACT - The sustainability of forest production is based on an adequate balance between soil nutrient supply and its demand by forest plantations, which may vary depending on the species and the site. In Uruguay, the low to medium fertility of the soils under forest production makes this aspect relevant. The objectives of the study were: (a) to quantify the concentration and distribution of nutrients in the harvested biomass of Eucalyptus dunnii, Eucalyptus grandis and Eucalyptus globulus in the predominant soils of the zones of greater forestry aptitude of Uruguay; and (b) to compare the nutrient use efficiencies of the three mentioned species in different soil types, as a criterion to evaluate the sustainability of the productive system in the long term. In 29 sites located in the three main forest areas of the country, nine trees with average diameter at breast height (DBH) and height were harvested at eight to eleven years of age. The aerial biomass and nutrient uptake (nitrogen, phosphorus, potassium, calcium and magnesium) in commercial wood, bark, leaves and branches were quantified, and two nutrient use efficiency indexes (nutrient use efficiency and biological utilisation coefficient) were calculated. Although the zones offered different conditions for growth and nutrient uptake, E. dunnii presented the highest extraction of nutrients in commercial wood, considering all sites, these indexes being lower for E. dunnii. Therefore, when planting E. dunnii, its greater use of the soil?s resources must be considered, particularly in soils that are naturally less fertile. Likewise, E. grandis presented a greater extraction of cations than E. globulus because of more extensive growth. © 2022 NISC (Pty) Ltd. MenosABSTRACT - The sustainability of forest production is based on an adequate balance between soil nutrient supply and its demand by forest plantations, which may vary depending on the species and the site. In Uruguay, the low to medium fertility of the soils under forest production makes this aspect relevant. The objectives of the study were: (a) to quantify the concentration and distribution of nutrients in the harvested biomass of Eucalyptus dunnii, Eucalyptus grandis and Eucalyptus globulus in the predominant soils of the zones of greater forestry aptitude of Uruguay; and (b) to compare the nutrient use efficiencies of the three mentioned species in different soil types, as a criterion to evaluate the sustainability of the productive system in the long term. In 29 sites located in the three main forest areas of the country, nine trees with average diameter at breast height (DBH) and height were harvested at eight to eleven years of age. The aerial biomass and nutrient uptake (nitrogen, phosphorus, potassium, calcium and magnesium) in commercial wood, bark, leaves and branches were quantified, and two nutrient use efficiency indexes (nutrient use efficiency and biological utilisation coefficient) were calculated. Although the zones offered different conditions for growth and nutrient uptake, E. dunnii presented the highest extraction of nutrients in commercial wood, considering all sites, these indexes being lower for E. dunnii. Therefore, when planting E. dunnii, its greate... Presentar Todo |
Palabras claves : |
Nutrient export; Soil resource; System sustainability. |
Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
Marc : |
LEADER 02719naa a2200229 a 4500 001 1063308 005 2022-06-15 008 2022 bl uuuu u00u1 u #d 022 $a2070-2620 024 7 $a10.2989/20702620.2022.2066488$2DOI 100 1 $aGONZÁLEZ, A. 245 $aNutrient use efficiency in commercial eucalypt plantations in different soils under temperate climate.$h[electronic resource] 260 $c2022 500 $aArticle history: Published online 31 May 2022. Corresponding author: González, A.; University of the Republic, College of Agronomy, Soil and Water Department, Montevideo, Uruguay; email:alejandrogonzalezuruguay@gmail.com 520 $aABSTRACT - The sustainability of forest production is based on an adequate balance between soil nutrient supply and its demand by forest plantations, which may vary depending on the species and the site. In Uruguay, the low to medium fertility of the soils under forest production makes this aspect relevant. The objectives of the study were: (a) to quantify the concentration and distribution of nutrients in the harvested biomass of Eucalyptus dunnii, Eucalyptus grandis and Eucalyptus globulus in the predominant soils of the zones of greater forestry aptitude of Uruguay; and (b) to compare the nutrient use efficiencies of the three mentioned species in different soil types, as a criterion to evaluate the sustainability of the productive system in the long term. In 29 sites located in the three main forest areas of the country, nine trees with average diameter at breast height (DBH) and height were harvested at eight to eleven years of age. The aerial biomass and nutrient uptake (nitrogen, phosphorus, potassium, calcium and magnesium) in commercial wood, bark, leaves and branches were quantified, and two nutrient use efficiency indexes (nutrient use efficiency and biological utilisation coefficient) were calculated. Although the zones offered different conditions for growth and nutrient uptake, E. dunnii presented the highest extraction of nutrients in commercial wood, considering all sites, these indexes being lower for E. dunnii. Therefore, when planting E. dunnii, its greater use of the soil?s resources must be considered, particularly in soils that are naturally less fertile. Likewise, E. grandis presented a greater extraction of cations than E. globulus because of more extensive growth. © 2022 NISC (Pty) Ltd. 653 $aNutrient export 653 $aSoil resource 653 $aSystem sustainability 700 1 $aHERNÁNDEZ, J. 700 1 $aDEL PINO, A. 700 1 $aHIRIGOYEN, A. 773 $tSouthern Forests: a Journal of Forest Science, 2022. [Article in Press]. doi: https://doi.org/10.2989/20702620.2022.2066488
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