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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha : |
01/10/2014 |
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Actualizado : |
06/04/2017 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
BARNETT, M.C.; DE BARBIERI, I.; HEGARTY, R.S.; ODDY, V.H.; NOLAN, J.V. |
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Afiliación : |
School of Environmental and Rural Science, University of New En gland, Armidale, Australia.; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; School of Environmental and Rural Science, University of New En gland, Armidale, Australia.; Beef Industry Centre, Department of Primary Industries NSW, Trevenna Road, Armidale, Australia.; School of Environmental and Rural Science, University of New En gland, Armidale, Australia. |
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Título : |
Estimation of DM mass in the digestive tract of sheep using a compartmental digesta kinetics model. [Resumen]. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
In: International Workshop on Modelling Nutrient Digestion and Utilisation in Farm Animals, 8., 8-12 September, Australia, 2014. |
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Idioma : |
Inglés |
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Contenido : |
Compartmental models are frequently used to determine retention time of digesta in segments of the ruminant gut without surgical intervention, few calculate the mass of DM content in different compartments of the sheep gastrointestinal tract (GIT). In an attempt to develop an accurate, non-invasive system of determining DM mass in the GIT, we compared our model estimates of DM mass with actual mass measurements obtained from euthanized sheep. |
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Palabras claves : |
SHEEP. |
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Thesagro : |
OVINOS. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6622/1/De-Barbieri-2014-Barnett.pdf
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Marc : |
LEADER 01071nam a2200181 a 4500
001 1050782
005 2017-04-06
008 2014 bl uuuu u01u1 u #d
100 1 $aBARNETT, M.C.
245 $aEstimation of DM mass in the digestive tract of sheep using a compartmental digesta kinetics model. [Resumen].$h[electronic resource]
260 $aIn: International Workshop on Modelling Nutrient Digestion and Utilisation in Farm Animals, 8., 8-12 September, Australia$c2014
520 $aCompartmental models are frequently used to determine retention time of digesta in segments of the ruminant gut without surgical intervention, few calculate the mass of DM content in different compartments of the sheep gastrointestinal tract (GIT). In an attempt to develop an accurate, non-invasive system of determining DM mass in the GIT, we compared our model estimates of DM mass with actual mass measurements obtained from euthanized sheep.
650 $aOVINOS
653 $aSHEEP
700 1 $aDE BARBIERI, I.
700 1 $aHEGARTY, R.S.
700 1 $aODDY, V.H.
700 1 $aNOLAN, J.V.
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Registro original : |
INIA Tacuarembó (TBO) |
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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 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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