| |
|
|
 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha : |
26/02/2020 |
|
Actualizado : |
26/02/2020 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Autor : |
QUERO, G.; BONNECARRERE, V.; SIMONDI, S.; SANTOS, J.; FERNÁNDEZ, S.; GUTIÉRREZ, L.; GARAYCOCHEA, S.; BORSANI, O. |
|
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. |
|
Título : |
Genetic architecture of photosynthesis energy partitioning as revealed by a genome-wide association approach. |
|
Fecha de publicación : |
2020 |
|
Fuente / Imprenta : |
Photosynthesis Research, 2020. Doi: https://doi.org/10.1007/s11120-020-00721-2 |
|
DOI : |
10.1007/s11120-020-00721-2 |
|
Idioma : |
Inglés |
|
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. |
|
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 |
|
Palabras claves : |
Actinic light; Candidate genes; GWAS; Quantum yields. |
|
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
|
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
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha actual : |
04/03/2020 |
|
Actualizado : |
04/03/2020 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Circulación / Nivel : |
Internacional - -- |
|
Autor : |
CUBBAGE, F.; KANIESKI, B.; RUBILAR, R.; BUSSONI, A.; OLMOS, V. M.; BALMELLI, G.; MAC DONAGH, P.; LORD, R.; HERNÁNDEZ, C.; ZHANG, P.; HUANG, J.; KORHONENK, J.; YAO, R.; HALL, P.; DELL LA TORRE, R.; DÍAZ-BALTEIRO, L.; CARRERO, O.; MONGES, E.; THU, H.T.T.; FREY, G.; HOWARD, M.; CHAVET, M.; MOCHAN, S.; HOEFLICH, V.A.; CHUDY, R.; MAASS, D.; CHIZMAR, S.; ABT, R. |
|
Afiliación : |
FREDERICK CUBBAGE, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States; BRUNO KANIESKI, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States; RAFAEL RUBILAR, Cooperativa de Productividad Forestal, Departamento de Silvicultura, Facultad de Ciencias Forestales, Universidad de Concepción, Concepción, Chile; ADRIANA BUSSONI, Facultad de Agronomia, Universidad de la República, Montevideo, Uruguay; VIRGINIA MORALES OLMOS, Departamento de Ciencias Económicas, Universidad de la República, Tacuarembó, Uruguay; GUSTAVO DANIEL BALMELLI HERNANDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PATRICIO MAC DONAGH, Facultad de Ciencias Forestales, Universidad Nacional de Misiones, Eldorado, Misiones, Argentina; ROGER LORD, Mason, Bruce & Girard, Inc., Portland, OR, United States; CARMELO HERNÁNDEZ, Commisión Nacional Forestal, Guadalajara, Mexico; PU ZHANG, Institute of Desertification Studies, Chinese Academy of Forestry, Beijing, China; JIN HUANG, Abt Associates, Bethesda, MD, United States; JAANA KORHONEN, Department of Forest Sciences, University of Helsinki, Finland; RICHARD YAO, Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand; PETER HALL, Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand; RAFAEL DELL LA TORRE, ArborGen Inc., Ridgeville, SC, United States; LUIS DÍAZ-BALTEIRO, Universidad Politécnica de Madrid. E.T.S. de Ingeniería de Montes, Forestal y del Medio Natural, Madrid, Spain; OMAR CARRERO, Facultad de Ciencias Forestales, Universidad de Los Andes, Mérida, Venezuela; ELIZABETH MONGES, Universidad Nacional de Asunción, Asunción, Paraguay; HA TRAN THI THU, Research Institute for Forest Ecology and Environment, Vietnamese Academy for Forest Sciences, Hanoi, Viet Nam; GREGORY FREY, USDA Forest Service, Southern Research Station, Research Triangle Park, NC, United States; MIKE HOWARD, Fractal Forest Africa, Umhlali, South Africa; MICHAEL CHAVET, Woodilee Consultancy Ltd, Glasgow, Scotland, United Kingdom; SHAUN MOCHAN, Woodilee Consultancy Ltd, Glasgow, Scotland, United Kingdom; VICTOR ALFONSO HOEFLICH, Departamento de Economia Rural e Extensão, Universidade Federal do Paraná, Curitiba, PR, Brazil; RAFAL CHUDY, Forest Business Analytics Sp. z o.o., ?ód?, Poland; DAVID MAASS, Forestry Consultant, Bluffton, SC and Westbrook, ME, United States; STEPHANIE CHIZMAR, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States; ROBERT ABT, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States. |
|
Título : |
Global timber investments, 2005 to 2017. |
|
Fecha de publicación : |
2020 |
|
Fuente / Imprenta : |
Forest Policy and Economics, March 2020, Volume 112, Article number 102082. OPEN ACCESS. Doi: https://doi.org/10.1016/j.forpol.2019.102082 |
|
ISSN : |
1389-9341 |
|
DOI : |
10.1016/j.forpol.2019.102082 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received 26 April 2019 / Revised 4 November 2019 / Accepted 13 December 2019 / Available online 7 February 2020.
Corresponding author: Frederick Cubbage - email:fred_cubbage@ncsu.edu
This research was partially funded by the Southern Forest Resource Assessment Consortium (SOFAC) at North Carolina State University, United States , as well as by the time and salaries provided to each of the co-authors by their respective organizations. |
|
Contenido : |
ABSTRACT.
We estimated timber investment returns for 22 countries and 54 species/management regimes in 2017, for a range of global timber plantation species and countries at the stand level, using capital budgeting criteria, without land costs, at a real discount rate of 8%. Returns were estimated for the principal plantation countries in the Americas?Brazil, Argentina, Uruguay, Chile, Colombia, Venezuela, Paraguay, Mexico, and the United States?as well as New Zealand, Australia, South Africa, China, Vietnam, Laos, Spain, Finland, Poland, Scotland, and France. South American plantation growth rates and their concomitant returns were generally greater, at more than 12% Internal Rates of Return (IRRs), as were those in China, Vietnam, and Laos. These IRRs were followed by those for plantations in southern hemisphere countries of Australia and New Zealand and in Mexico, with IRRs around 8%. Temperate forest plantations in the U.S. and Europe returned less, from 4% to 8%, but those countries have less financial risk, better timber markets, and more infrastructure. Returns to most planted species in all countries except Asia have decreased from 2005 to 2017. If land costs were included in calculating the overall timberland investment returns, the IRRs would decrease from 3 three percentage points less for loblolly pine in the U.S. South to 8 percentage points less for eucalypts in Brazil. © 2020 The Authors |
|
Palabras claves : |
Benchmarking; Global trends; Internal rates of return; Land expectation value; Timber investments. |
|
Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
|
URL : |
https://www.sciencedirect.com/science/article/pii/S1389934119302564/pdfft?md5=fc04003afa99feda8af4cda48c80cfb1&pid=1-s2.0-S1389934119302564-main.pdf
|
|
Marc : |
LEADER 03324naa a2200541 a 4500
001 1060888
005 2020-03-04
008 2020 bl uuuu u00u1 u #d
022 $a1389-9341
024 7 $a10.1016/j.forpol.2019.102082$2DOI
100 1 $aCUBBAGE, F.
245 $aGlobal timber investments, 2005 to 2017.$h[electronic resource]
260 $c2020
500 $aArticle history: Received 26 April 2019 / Revised 4 November 2019 / Accepted 13 December 2019 / Available online 7 February 2020. Corresponding author: Frederick Cubbage - email:fred_cubbage@ncsu.edu This research was partially funded by the Southern Forest Resource Assessment Consortium (SOFAC) at North Carolina State University, United States , as well as by the time and salaries provided to each of the co-authors by their respective organizations.
520 $aABSTRACT. We estimated timber investment returns for 22 countries and 54 species/management regimes in 2017, for a range of global timber plantation species and countries at the stand level, using capital budgeting criteria, without land costs, at a real discount rate of 8%. Returns were estimated for the principal plantation countries in the Americas?Brazil, Argentina, Uruguay, Chile, Colombia, Venezuela, Paraguay, Mexico, and the United States?as well as New Zealand, Australia, South Africa, China, Vietnam, Laos, Spain, Finland, Poland, Scotland, and France. South American plantation growth rates and their concomitant returns were generally greater, at more than 12% Internal Rates of Return (IRRs), as were those in China, Vietnam, and Laos. These IRRs were followed by those for plantations in southern hemisphere countries of Australia and New Zealand and in Mexico, with IRRs around 8%. Temperate forest plantations in the U.S. and Europe returned less, from 4% to 8%, but those countries have less financial risk, better timber markets, and more infrastructure. Returns to most planted species in all countries except Asia have decreased from 2005 to 2017. If land costs were included in calculating the overall timberland investment returns, the IRRs would decrease from 3 three percentage points less for loblolly pine in the U.S. South to 8 percentage points less for eucalypts in Brazil. © 2020 The Authors
653 $aBenchmarking
653 $aGlobal trends
653 $aInternal rates of return
653 $aLand expectation value
653 $aTimber investments
700 1 $aKANIESKI, B.
700 1 $aRUBILAR, R.
700 1 $aBUSSONI, A.
700 1 $aOLMOS, V. M.
700 1 $aBALMELLI, G.
700 1 $aMAC DONAGH, P.
700 1 $aLORD, R.
700 1 $aHERNÁNDEZ, C.
700 1 $aZHANG, P.
700 1 $aHUANG, J.
700 1 $aKORHONENK, J.
700 1 $aYAO, R.
700 1 $aHALL, P.
700 1 $aDELL LA TORRE, R.
700 1 $aDÍAZ-BALTEIRO, L.
700 1 $aCARRERO, O.
700 1 $aMONGES, E.
700 1 $aTHU, H.T.T.
700 1 $aFREY, G.
700 1 $aHOWARD, M.
700 1 $aCHAVET, M.
700 1 $aMOCHAN, S.
700 1 $aHOEFLICH, V.A.
700 1 $aCHUDY, R.
700 1 $aMAASS, D.
700 1 $aCHIZMAR, S.
700 1 $aABT, R.
773 $tForest Policy and Economics, March 2020, Volume 112, Article number 102082. OPEN ACCESS. Doi: https://doi.org/10.1016/j.forpol.2019.102082
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
