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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
21/02/2014 |
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Actualizado : |
27/11/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
COZZOLINO, D.; FASSIO, A.; GIMÉNEZ, A. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALBERTO SANTIAGO FASSIO ARAUJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
The use of near-infrared reflectance spectroscopy (NIRS) to predict the composition of whole maize plants. |
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Fecha de publicación : |
2001 |
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Fuente / Imprenta : |
Journal of the Science of Food and Agriculture, 1 January 2001, Volume 81, Issue 1, Pages 142-146 |
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DOI : |
10.1002/1097-0010(20010101)81:1<142::AID-JSFA790>3.0.CO;2-I |
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Idioma : |
Inglés |
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Contenido : |
Abstract: Near-infrared reØectance spectroscopy (NIRS) was used to predict the chemical composition of whole maize plants (Zea mays
L) in breeding programmes at INIA La Estanzuela, Uruguay.Four hundred samples (n= 400) were scanned from 400 to 2500 nm in an NIRS 6500 monochromator
(NIRSystems, Silver Spring, MD, USA). ModiÆed partial least squares (MPLS) regression was applied to scatter-corrected spectra (SNV and detrend). Calibration models for NIRS measurements gave multivariate correlation coefÆcients of determination (R2 ) and standard errors of cross-validation
(SECV) of 0.72 (SECV 9.5), 0.96 (SECV 7.7), 0.98 (SECV 16.5), 0.96 (SECV 34.3), 0.98 (SECV 17.8) and 0.98 (SECV 6.1) for dry matter (DM), crude protein (CP), acid detergent Æbre (ADF), neutral detergent Æbre (NDF), in vitro organic matter digestibility (IVOMD) and ash in g kg ?1 on a dry weight
basis respectively. This paper shows the potential of NIRS to predict the chemical composition of whole maize plants as a routine method in breeding programmes and for farmer advice. |
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Palabras claves : |
ACID DETERGENT FIBRE; CRUDE PROTEIN; NEAR-INFRARED SPECTROSCOPY; WHOLE MAIZE. |
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Thesagro : |
MAIZ; NIRS. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 01858naa a2200229 a 4500
001 1048018
005 2019-11-27
008 2001 bl uuuu u00u1 u #d
024 7 $a10.1002/1097-0010(20010101)81:1<142::AID-JSFA790>3.0.CO;2-I$2DOI
100 1 $aCOZZOLINO, D.
245 $aThe use of near-infrared reflectance spectroscopy (NIRS) to predict the composition of whole maize plants.$h[electronic resource]
260 $c2001
520 $aAbstract: Near-infrared reØectance spectroscopy (NIRS) was used to predict the chemical composition of whole maize plants (Zea mays L) in breeding programmes at INIA La Estanzuela, Uruguay.Four hundred samples (n= 400) were scanned from 400 to 2500 nm in an NIRS 6500 monochromator (NIRSystems, Silver Spring, MD, USA). ModiÆed partial least squares (MPLS) regression was applied to scatter-corrected spectra (SNV and detrend). Calibration models for NIRS measurements gave multivariate correlation coefÆcients of determination (R2 ) and standard errors of cross-validation (SECV) of 0.72 (SECV 9.5), 0.96 (SECV 7.7), 0.98 (SECV 16.5), 0.96 (SECV 34.3), 0.98 (SECV 17.8) and 0.98 (SECV 6.1) for dry matter (DM), crude protein (CP), acid detergent Æbre (ADF), neutral detergent Æbre (NDF), in vitro organic matter digestibility (IVOMD) and ash in g kg ?1 on a dry weight basis respectively. This paper shows the potential of NIRS to predict the chemical composition of whole maize plants as a routine method in breeding programmes and for farmer advice.
650 $aMAIZ
650 $aNIRS
653 $aACID DETERGENT FIBRE
653 $aCRUDE PROTEIN
653 $aNEAR-INFRARED SPECTROSCOPY
653 $aWHOLE MAIZE
700 1 $aFASSIO, A.
700 1 $aGIMÉNEZ, A.
773 $tJournal of the Science of Food and Agriculture, 1 January 2001, Volume 81, Issue 1, Pages 142-146
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Registro original : |
INIA La Estanzuela (LE) |
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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 : |
05/12/2018 |
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Actualizado : |
26/08/2019 |
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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 : |
RUBIO, L.; HERNÁNDEZ, L.; BENÍTEZ, M. J.; ARRUABARRENA, A.; RIVAS, F.; COLINA, R.; MAESO, D. |
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Afiliación : |
LETICIA PAOLA RUBIO CATTANI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LESTER HERNÁNDEZ RODRÍGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; MARÍA JOSÉ BENÍTEZ GALEANO, Laboratorio de Virología Molecular, Centro Universitario Regional Litoral Norte (CENUR- Litoral Norte), Universidad de la República, Uruguay; ANA ARRUABARRENA PASCOVICH, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS FERNANDO RIVAS GRELA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RODNEY COLINA, Laboratorio de Virología Molecular, Centro Universitario Regional Litoral Norte (CENUR- Litoral Norte), Universidad de la República, Uruguay; DIEGO CESAR MAESO TOZZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Biological and molecular characterization of Uruguayan citrus tristeza virus field isolates. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Journal of Plant Pathology, 2019, volume 101, Issue 1, pages 97-105. |
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ISSN : |
1125-4653 // Online ISSN 2239-7264 |
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DOI : |
10.1007/s42161-018-0149-0 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 06 June 2018 // Accepted 29 July 2018 // First Online 13 August 2018 // Published 15 February 2019.
Acknowledgements: This research was funded by Instituto Nacional de Investigación Agropecuaria, Uruguay (project CT-06), through the National Program of Citrus, in collaboration with the Laboratorio de Virología Molecular, Centro Universitario Regional Litoral Norte de la Universidad de la República.
Funding: This study was funded by Instituto Nacional de Investigación Agropecuaria, Uruguay (project CT-06). |
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Contenido : |
ABSTRACT.
Citrus tristeza virus (CTV) is the causal agent of the most important viral disease of citrus. Symptoms that may affect the productive potential of citrus plants are observed in Uruguayan orchards even though resistant rootstocks are used. CTVis fully eliminated in propagative materials by the National Sanitation and Certification Program, but since the virus and its vector are widespread in the country, the risk of infection in the field persists. In this situation, using mild CTV strains in a cross-protection program would be a useful alternative to attempt to increase yield and quality of the local citrus industry. To this aim, this study assessed the biological and molecular characteristics of 32 local CTV isolates. Bioassays were conducted in a greenhouse with controlled conditions. Each isolate was graft-inoculated on Mexican lime, sweet orange, sour orange and Duncan grapefruit indicator plants. Symptoms and their intensity were evaluated. Molecular characterization was carried out by RT-PCR amplification, using primers for the p25, p20 and p23 genes. PCR products were sequenced, nucleotide sequences were aligned with international reference strains and phylogenetic trees were constructed. Results of the biological and molecular analysis showed the prevalence of severe CTV isolates with a high genetic variability. Two out of 32 characterized isolates were selected as mild CTV isolates to be tested as candidates for future cross-protection experiments. The survey showed a complex scenario for the management of CTV in Uruguay.
© Società Italiana di Patologia Vegetale (S.I.Pa.V.) 2018 MenosABSTRACT.
Citrus tristeza virus (CTV) is the causal agent of the most important viral disease of citrus. Symptoms that may affect the productive potential of citrus plants are observed in Uruguayan orchards even though resistant rootstocks are used. CTVis fully eliminated in propagative materials by the National Sanitation and Certification Program, but since the virus and its vector are widespread in the country, the risk of infection in the field persists. In this situation, using mild CTV strains in a cross-protection program would be a useful alternative to attempt to increase yield and quality of the local citrus industry. To this aim, this study assessed the biological and molecular characteristics of 32 local CTV isolates. Bioassays were conducted in a greenhouse with controlled conditions. Each isolate was graft-inoculated on Mexican lime, sweet orange, sour orange and Duncan grapefruit indicator plants. Symptoms and their intensity were evaluated. Molecular characterization was carried out by RT-PCR amplification, using primers for the p25, p20 and p23 genes. PCR products were sequenced, nucleotide sequences were aligned with international reference strains and phylogenetic trees were constructed. Results of the biological and molecular analysis showed the prevalence of severe CTV isolates with a high genetic variability. Two out of 32 characterized isolates were selected as mild CTV isolates to be tested as candidates for future cross-protection experiments. The su... Presentar Todo |
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Palabras claves : |
BIOLOGICAL INDEXING; CITRUS TRISTEZA VIRUS (CTV); CLOSTEROVIRIDAE; CLOSTEROVIRUS; PHYLOGENETIC ANALYSIS. |
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Thesagro : |
CITRUS. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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Marc : |
LEADER 03065naa a2200301 a 4500
001 1059343
005 2019-08-26
008 2019 bl uuuu u00u1 u #d
022 $a1125-4653 // Online ISSN 2239-7264
024 7 $a10.1007/s42161-018-0149-0$2DOI
100 1 $aRUBIO, L.
245 $aBiological and molecular characterization of Uruguayan citrus tristeza virus field isolates.$h[electronic resource]
260 $c2019
500 $aArticle history: Received 06 June 2018 // Accepted 29 July 2018 // First Online 13 August 2018 // Published 15 February 2019. Acknowledgements: This research was funded by Instituto Nacional de Investigación Agropecuaria, Uruguay (project CT-06), through the National Program of Citrus, in collaboration with the Laboratorio de Virología Molecular, Centro Universitario Regional Litoral Norte de la Universidad de la República. Funding: This study was funded by Instituto Nacional de Investigación Agropecuaria, Uruguay (project CT-06).
520 $aABSTRACT. Citrus tristeza virus (CTV) is the causal agent of the most important viral disease of citrus. Symptoms that may affect the productive potential of citrus plants are observed in Uruguayan orchards even though resistant rootstocks are used. CTVis fully eliminated in propagative materials by the National Sanitation and Certification Program, but since the virus and its vector are widespread in the country, the risk of infection in the field persists. In this situation, using mild CTV strains in a cross-protection program would be a useful alternative to attempt to increase yield and quality of the local citrus industry. To this aim, this study assessed the biological and molecular characteristics of 32 local CTV isolates. Bioassays were conducted in a greenhouse with controlled conditions. Each isolate was graft-inoculated on Mexican lime, sweet orange, sour orange and Duncan grapefruit indicator plants. Symptoms and their intensity were evaluated. Molecular characterization was carried out by RT-PCR amplification, using primers for the p25, p20 and p23 genes. PCR products were sequenced, nucleotide sequences were aligned with international reference strains and phylogenetic trees were constructed. Results of the biological and molecular analysis showed the prevalence of severe CTV isolates with a high genetic variability. Two out of 32 characterized isolates were selected as mild CTV isolates to be tested as candidates for future cross-protection experiments. The survey showed a complex scenario for the management of CTV in Uruguay. © Società Italiana di Patologia Vegetale (S.I.Pa.V.) 2018
650 $aCITRUS
653 $aBIOLOGICAL INDEXING
653 $aCITRUS TRISTEZA VIRUS (CTV)
653 $aCLOSTEROVIRIDAE
653 $aCLOSTEROVIRUS
653 $aPHYLOGENETIC ANALYSIS
700 1 $aHERNÁNDEZ, L.
700 1 $aBENÍTEZ, M. J.
700 1 $aARRUABARRENA, A.
700 1 $aRIVAS, F.
700 1 $aCOLINA, R.
700 1 $aMAESO, D.
773 $tJournal of Plant Pathology, 2019, volume 101, Issue 1, pages 97-105.
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