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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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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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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Registro original : |
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 : |
24/03/2021 |
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Actualizado : |
14/06/2021 |
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Tipo de producción científica : |
Artículos Indexados |
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Autor : |
MARQUES, L. O. D.; MELO-FARIAS, P.; OLIVEIRA, R. P. DE; DINI, M.; SOARES FILHO, W. S.; MALGARIM, M. B. |
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Afiliación : |
LÉO O. D. MARQUES, Departament of Horticulture and Crop Science, Faculty of Agronomy Eliseu Maciel, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil; PAULO MELLO-FARIAS, Departament of Horticulture and Crop Science, Faculty of Agronomy Eliseu Maciel, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil; ROBERTO P. DE OLIVEIRA, Embrapa Temperate Climate, Pelotas, Rio Grande do Sul, Brazil; MAXIMILIANO ANTONIO DINI VIÑOLY, Departament of Horticulture and Crop Science, Faculty of Agronomy Eliseu Maciel, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil; WALTER S. SOARES FILHO, Embrapa Cassava and Fruit Science, Cruz das Almas, Bahia, Brazil; MARCELO B. MALGARIM, Departament of Horticulture and Crop Science, Faculty of Agronomy Eliseu Maciel, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil. |
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Título : |
Emergence percentage and speed of rootstocks for citriculture in south of Brazil. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Journal of Agricultural Science, 2019, v. 11, n. 5, p. 49-57. Doi: https://doi.org/10.5539/jas.v11n5p49 |
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ISSN : |
1916-9752 E-ISSN 1916-9760 |
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DOI : |
10.5539/jas.v11n5p49 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: January 21, 2019; Accepted: February 27, 2019; Online Published: April 15, 2019.
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (CAPES)-Finance Code 001. |
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Contenido : |
ABSTRACT.
The fact that Brazilian citriculture has focused on few rootstocks poses several phytosanitary risks to the culture and has made genetic improvement programs develop hybrid genotypes to be used as novel alternatives. This study aimed at evaluating the behavior of 42 different rootstocks regarding their emergence percentage and speed in weather conditions experienced in the extreme south of Brazil. Seeds of hybrids developed by the Citrus Genetic Improvement Program (PMG Citros) at the Embrapa Mandioca e Fruticultura (PMG Citros) and cultivars from other citrus growing regions were sown in conical tubes filled with commercial substrate in May 2017. A thoroughly randomized design with 4 replicates, each composed of 45 sampling units, was employed. Emergence percentage and emergence speed of every genotype were evaluated and the ones with the highest emergence percentage of seedlings and the ones with the most precocious emergence were identified. All genotypes completed seedling emergence 98 days after sowing. Seeds of Trifoliata, TSKC × CTSW-041 and TSKC × CTSW-025 had the highest values of seedling emergence whereas the highest emergence speed indexes were exhibited by genotypes Trifoliata and lemon tree 'Cravo'. |
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Palabras claves : |
Adaptation; Diversification; Improvement; Seedlings. |
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Thesagro : |
CITRUS; CITRUS spp. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15383/1/Marques-et-al.-2019.-Emergence-Percentage-and-Speed-of-Rootstocks-JAS.pdf
http://www.ccsenet.org/journal/index.php/jas/article/download/0/0/39038/39794.pdf
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Marc : |
LEADER 02347naa a2200289 a 4500
001 1061859
005 2021-06-14
008 2019 bl uuuu u00u1 u #d
022 $a1916-9752 E-ISSN 1916-9760
024 7 $a10.5539/jas.v11n5p49$2DOI
100 1 $aMARQUES, L. O. D.
245 $aEmergence percentage and speed of rootstocks for citriculture in south of Brazil.$h[electronic resource]
260 $c2019
500 $aArticle history: Received: January 21, 2019; Accepted: February 27, 2019; Online Published: April 15, 2019. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (CAPES)-Finance Code 001.
520 $aABSTRACT. The fact that Brazilian citriculture has focused on few rootstocks poses several phytosanitary risks to the culture and has made genetic improvement programs develop hybrid genotypes to be used as novel alternatives. This study aimed at evaluating the behavior of 42 different rootstocks regarding their emergence percentage and speed in weather conditions experienced in the extreme south of Brazil. Seeds of hybrids developed by the Citrus Genetic Improvement Program (PMG Citros) at the Embrapa Mandioca e Fruticultura (PMG Citros) and cultivars from other citrus growing regions were sown in conical tubes filled with commercial substrate in May 2017. A thoroughly randomized design with 4 replicates, each composed of 45 sampling units, was employed. Emergence percentage and emergence speed of every genotype were evaluated and the ones with the highest emergence percentage of seedlings and the ones with the most precocious emergence were identified. All genotypes completed seedling emergence 98 days after sowing. Seeds of Trifoliata, TSKC × CTSW-041 and TSKC × CTSW-025 had the highest values of seedling emergence whereas the highest emergence speed indexes were exhibited by genotypes Trifoliata and lemon tree 'Cravo'.
650 $aCITRUS
650 $aCITRUS spp
653 $aAdaptation
653 $aDiversification
653 $aImprovement
653 $aSeedlings
700 1 $aMELO-FARIAS, P.
700 1 $aOLIVEIRA, R. P. DE
700 1 $aDINI, M.
700 1 $aSOARES FILHO, W. S.
700 1 $aMALGARIM, M. B.
773 $tJournal of Agricultural Science, 2019$gv. 11, n. 5, p. 49-57. Doi: https://doi.org/10.5539/jas.v11n5p49
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