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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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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
25/06/2018 |
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Actualizado : |
25/06/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
LANFRANCO, B.; FERRARO, B.; RAVA, C. |
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Afiliación : |
BRUNO ANTONIO LANFRANCO CRESPO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRUNO FERRARO ALBERTONI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CATALINA RAVA ZEFFERINO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Assessing competitive position of Uruguay's beef sector. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Journal of Agribusiness in Developing and Emerging Economies, Volume 8, Issue 2, Pages 288-302, 2018. |
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DOI : |
10.1108/JADEE-12-2016-0078 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 09 December 2016; Revised 30 March 2017; Accepted 09 June 2017. |
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Contenido : |
Abstract.
This article presents an economic evaluation of Uruguay?s beef industry competitiveness to quantify the effects of public policies (taxes, subsidies, social charges) on the various links
constituting the beef export chain and estimate the impact of transfers of resources between the beef industry and other sectors of the economy. The Policy Analysis Matrix (PAM) techniques were employed to quantify the effects of public policies on the competitiveness of Uruguay?s beef industry. A series of PAM coefficients were calculated to assess the competitiveness of the beef export chain in 2010 and 2013 with comparison between the two years to make policy recommendations. Beef sector returns captured by private agents decreased from 30% in 2010 to 10% in 2013. Competitiveness of the beef export chain deteriorated between 2010 and 2013 due primarily to higher prices paid for live cattle by the beef slaughtering, manufacturing, and packing sector. Uruguay?s beef industry transfers resources to the larger economy via social security payments and is penalized as a result of high capital costs. Although three different sources of resource transfers were identified, more effort is needed to improve precision of estimations. Overall, Uruguay?s beef supply chain is relatively competitive, although that condition should not be taken for granted and subjected to increased taxation in order to support other national objectives. Competitiveness of export chains is critical to the economic and social wellbeing of small-economy countries. They must be efficient producing for the international markets at the time they constitute pillars of the whole economy.
© 2018, Emerald Publishing Limited. MenosAbstract.
This article presents an economic evaluation of Uruguay?s beef industry competitiveness to quantify the effects of public policies (taxes, subsidies, social charges) on the various links
constituting the beef export chain and estimate the impact of transfers of resources between the beef industry and other sectors of the economy. The Policy Analysis Matrix (PAM) techniques were employed to quantify the effects of public policies on the competitiveness of Uruguay?s beef industry. A series of PAM coefficients were calculated to assess the competitiveness of the beef export chain in 2010 and 2013 with comparison between the two years to make policy recommendations. Beef sector returns captured by private agents decreased from 30% in 2010 to 10% in 2013. Competitiveness of the beef export chain deteriorated between 2010 and 2013 due primarily to higher prices paid for live cattle by the beef slaughtering, manufacturing, and packing sector. Uruguay?s beef industry transfers resources to the larger economy via social security payments and is penalized as a result of high capital costs. Although three different sources of resource transfers were identified, more effort is needed to improve precision of estimations. Overall, Uruguay?s beef supply chain is relatively competitive, although that condition should not be taken for granted and subjected to increased taxation in order to support other national objectives. Competitiveness of export chains is critical to the econom... Presentar Todo |
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Palabras claves : |
COMMON AGRICULTURAL POLICY; COMPETITIVENESS; DEVELOPING COUNTRIES; ECONOMIC SUSTAINABILITY; EXPORT MARKETS; FOOD INDUSTRY; LIVESTOCK. |
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Thesagro : |
GANADERÍA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02585naa a2200265 a 4500
001 1058733
005 2018-06-25
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1108/JADEE-12-2016-0078$2DOI
100 1 $aLANFRANCO, B.
245 $aAssessing competitive position of Uruguay's beef sector.$h[electronic resource]
260 $c2018
500 $aArticle history: Received 09 December 2016; Revised 30 March 2017; Accepted 09 June 2017.
520 $aAbstract. This article presents an economic evaluation of Uruguay?s beef industry competitiveness to quantify the effects of public policies (taxes, subsidies, social charges) on the various links constituting the beef export chain and estimate the impact of transfers of resources between the beef industry and other sectors of the economy. The Policy Analysis Matrix (PAM) techniques were employed to quantify the effects of public policies on the competitiveness of Uruguay?s beef industry. A series of PAM coefficients were calculated to assess the competitiveness of the beef export chain in 2010 and 2013 with comparison between the two years to make policy recommendations. Beef sector returns captured by private agents decreased from 30% in 2010 to 10% in 2013. Competitiveness of the beef export chain deteriorated between 2010 and 2013 due primarily to higher prices paid for live cattle by the beef slaughtering, manufacturing, and packing sector. Uruguay?s beef industry transfers resources to the larger economy via social security payments and is penalized as a result of high capital costs. Although three different sources of resource transfers were identified, more effort is needed to improve precision of estimations. Overall, Uruguay?s beef supply chain is relatively competitive, although that condition should not be taken for granted and subjected to increased taxation in order to support other national objectives. Competitiveness of export chains is critical to the economic and social wellbeing of small-economy countries. They must be efficient producing for the international markets at the time they constitute pillars of the whole economy. © 2018, Emerald Publishing Limited.
650 $aGANADERÍA
653 $aCOMMON AGRICULTURAL POLICY
653 $aCOMPETITIVENESS
653 $aDEVELOPING COUNTRIES
653 $aECONOMIC SUSTAINABILITY
653 $aEXPORT MARKETS
653 $aFOOD INDUSTRY
653 $aLIVESTOCK
700 1 $aFERRARO, B.
700 1 $aRAVA, C.
773 $tJournal of Agribusiness in Developing and Emerging Economies, Volume 8, Issue 2, Pages 288-302, 2018.
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
26/02/2020 |
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Actualizado : |
26/02/2020 |
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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 : |
QUERO, G.; BONNECARRERE, V.; SIMONDI, S.; SANTOS, J.; FERNÁNDEZ, S.; GUTIÉRREZ, L.; GARAYCOCHEA, S.; BORSANI, O. |
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Afiliación : |
GASTÓN QUERO CORRALLO, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIÁN SIMONDI, Área de Matemática, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo (FCEN-UNCuyo), Mendoza, Argentina; JORGE SANTOS, Área de Física, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo (FCEN-UNCuyo), Mendoza, Argentina; SEBASTIÁN FERNÁNDEZ, Facultad de Ingeniería, Instituto de Ingeniería Eléctrica, Universidad de La República, Montevideo, Uruguay; LUCÍA GUTIÉRREZ, Department of Agronomy, University of Wisconsin-Madison, Madison, WI, USA; Departamento de Biometría, Estadística y Cómputos, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OMAR BORSANI, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay. |
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Título : |
Genetic architecture of photosynthesis energy partitioning as revealed by a genome-wide association approach. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Photosynthesis Research, 2020. Doi: https://doi.org/10.1007/s11120-020-00721-2 |
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DOI : |
10.1007/s11120-020-00721-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 11 October 2019 / Accepted: 10 February 2020 / Published: 18 February 2020.
Corresponding author: Gastón Quero (gastonquero@fagro.edu.uy)
Electronic supplementary material: The online version of this article (https://doi.org/10.1007/s1112 0-020-00721 -2) contains supplementary material, which is available to authorized users. |
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Contenido : |
ABSTRACT.
The photosynthesis process is determined by the intensity level and spectral quality of the light; therefore, leaves need to adapt to a changing environment. The incident energy absorbed can exceed the sink capability of the photosystems, and, in this context, photoinhibition may occur in both photosystem II (PSII) and photosystem I (PSI). Quantum yield parameters analyses reveal how the energy is managed. These parameters are genotype-dependent, and this genotypic variability is a good opportunity to apply mapping association strategies to identify genomic regions associated with photosynthesis energy partitioning. An experimental and mathematical approach is proposed for the determination of an index which estimates the energy per photon flux for each spectral bandwidth (Δλ) of the light incident (QI index). Based on the QI, the spectral quality of the plant growth, environmental lighting, and the actinic light of PAM were quantitatively very similar which allowed an accurate phenotyping strategy of a rice population. A total of 143 genomic single regions associated with at least one trait of chlorophyll fluorescence were identified. Moreover, chromosome 5 gathers most of these regions indicating the importance of this chromosome in the genetic regulation of the photochemistry process. Through a GWAS strategy, 32 genes of rice genome associated with the main parameters of the photochemistry process of photosynthesis in rice were identified. Association between light-harvesting complexes and the potential quantum yield of PSII, as well as the relationship between coding regions for PSI-linked proteins in energy distribution during the photochemical process of photosynthesis is analyzed. MenosABSTRACT.
The photosynthesis process is determined by the intensity level and spectral quality of the light; therefore, leaves need to adapt to a changing environment. The incident energy absorbed can exceed the sink capability of the photosystems, and, in this context, photoinhibition may occur in both photosystem II (PSII) and photosystem I (PSI). Quantum yield parameters analyses reveal how the energy is managed. These parameters are genotype-dependent, and this genotypic variability is a good opportunity to apply mapping association strategies to identify genomic regions associated with photosynthesis energy partitioning. An experimental and mathematical approach is proposed for the determination of an index which estimates the energy per photon flux for each spectral bandwidth (Δλ) of the light incident (QI index). Based on the QI, the spectral quality of the plant growth, environmental lighting, and the actinic light of PAM were quantitatively very similar which allowed an accurate phenotyping strategy of a rice population. A total of 143 genomic single regions associated with at least one trait of chlorophyll fluorescence were identified. Moreover, chromosome 5 gathers most of these regions indicating the importance of this chromosome in the genetic regulation of the photochemistry process. Through a GWAS strategy, 32 genes of rice genome associated with the main parameters of the photochemistry process of photosynthesis in rice were identified. Association ... Presentar Todo |
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Palabras claves : |
Actinic light; Candidate genes; GWAS; Quantum yields. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 02911naa a2200277 a 4500
001 1060838
005 2020-02-26
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1007/s11120-020-00721-2$2DOI
100 1 $aQUERO, G.
245 $aGenetic architecture of photosynthesis energy partitioning as revealed by a genome-wide association approach.$h[electronic resource]
260 $c2020
500 $aArticle history: Received: 11 October 2019 / Accepted: 10 February 2020 / Published: 18 February 2020. Corresponding author: Gastón Quero (gastonquero@fagro.edu.uy) Electronic supplementary material: The online version of this article (https://doi.org/10.1007/s1112 0-020-00721 -2) contains supplementary material, which is available to authorized users.
520 $aABSTRACT. The photosynthesis process is determined by the intensity level and spectral quality of the light; therefore, leaves need to adapt to a changing environment. The incident energy absorbed can exceed the sink capability of the photosystems, and, in this context, photoinhibition may occur in both photosystem II (PSII) and photosystem I (PSI). Quantum yield parameters analyses reveal how the energy is managed. These parameters are genotype-dependent, and this genotypic variability is a good opportunity to apply mapping association strategies to identify genomic regions associated with photosynthesis energy partitioning. An experimental and mathematical approach is proposed for the determination of an index which estimates the energy per photon flux for each spectral bandwidth (Δλ) of the light incident (QI index). Based on the QI, the spectral quality of the plant growth, environmental lighting, and the actinic light of PAM were quantitatively very similar which allowed an accurate phenotyping strategy of a rice population. A total of 143 genomic single regions associated with at least one trait of chlorophyll fluorescence were identified. Moreover, chromosome 5 gathers most of these regions indicating the importance of this chromosome in the genetic regulation of the photochemistry process. Through a GWAS strategy, 32 genes of rice genome associated with the main parameters of the photochemistry process of photosynthesis in rice were identified. Association between light-harvesting complexes and the potential quantum yield of PSII, as well as the relationship between coding regions for PSI-linked proteins in energy distribution during the photochemical process of photosynthesis is analyzed.
653 $aActinic light
653 $aCandidate genes
653 $aGWAS
653 $aQuantum yields
700 1 $aBONNECARRERE, V.
700 1 $aSIMONDI, S.
700 1 $aSANTOS, J.
700 1 $aFERNÁNDEZ, S.
700 1 $aGUTIÉRREZ, L.
700 1 $aGARAYCOCHEA, S.
700 1 $aBORSANI, O.
773 $tPhotosynthesis Research, 2020. Doi: https://doi.org/10.1007/s11120-020-00721-2
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