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| 3. |  | ALECRIM, F.; SIMÓN, C.; MARIOTTA, J.; SANTANDER, D.; MULETA, E.; MARCHELLI, J.P.; LATTANZI, F.; ALVES, B.J.R.; NÓBREGA, G.N.; CIGANDA, V. AP 28. Can the inclusion of high tannin forage legumes in native grasslands modify the N2O emissions from cattle urine?. [abstract]. [Estudio de mitigación de emisiones de N2O de orina bovina en campo natural]. [resumen] Ambiente y Producción Animal. En: Congreso Argentino de Producción Animal Virtual, 45, 16 al 18 de noviembre 2022. p.357. (Revista Argentina de Producción Animal ; 42 Suplemento 1). Corresponding author: Ciganda, V.S. Instituto Nacional de Investigación Agropecuaria (INIA, Uruguay). E-mail: vciganda@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 4. | | CAMOZZI, M.G.M; SATURNINO, K. C.; MACHADO, M.R.F.; GASTAL, G.D.A.; MOREIRA, C. N.; ALVES, B. G. Cystic endometrial hyperplasia-pyometra syndrome impairs the preantral follicle reserve in domestic bitches (Canis familiaris). Reproductive Biology, December 2023, Volume 23, Issue 4, 100813. https://doi.org/10.1016/j.repbio.2023.100813 Article history: Received 19 February 2023; Received in revised form 25 September 2023; Accepted 27 September 2023; Available online 11 October 2023. -- Corresponding author: Alves, B.G.; Postgraduate Program in Animal Bioscience, Federal...| Biblioteca(s): INIA Las Brujas. |
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| 5. | | ALECRIM, F.; SIMÓN, C.; MARIOTTA, J.; SANTANDER, D.; MULETA, E.; LATTANZI, F.; ALVES, B.J.R.; MARCHELLI, J.P.; CIGANDA, V. Leguminosas forrajeras con taninos: promisorio potencial de mitigación de emisiones de gases de efecto invernadero en mejoramientos de campo natural. Sustentabilidad. Revista INIA Uruguay, Junio 2022, no.69, p.33-37. (Revista INIA; 69).| Biblioteca(s): INIA Las Brujas. |
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| 6. | | HYDE, K.A.; AGUIAR, F.L.N.; ALVES, B.G.; ALVES, K.A.; GASTAL, G.D.A.; GASTAL, M.O.; GASTAL, E.L. Preantral follicle population and distribution in the horse ovary. Reproduction & Fertility, 2022, Volume 3, Issue 2, Page 90-102. OPEN ACCESS. doi: https://doi.org/10.1530/RAF-21-0100 Article history: Received in final form 25 March 2022; Accepted 4 April 2022; Accepted Manuscript published online 4 April 2022. -- Corresponding author: Gastal, E.L.; School of Agricultural Sciences, Southern Illinois University,...| Biblioteca(s): INIA La Estanzuela. |
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| 7. | | HYDE, K.A.; AGUIAR, F.L.N.; ALVARENGA, P.B.; REZENDE, A.L.; ALVES, B.G.; ALVES, K.A.; GASTAL, G.D.A.; GASTAL, M.O.; GASTAL, E.L. Characterization of preantral follicle clustering and neighborhood patterns in the equine ovary. PLoS ONE, 2022, Volume 17, Issue 10, e0275396. OPEN ACCESS. doi: https://doi.org/10.1371/journal.pone.0275396 Article history: Received June 10 2022; Accepted September 14 2022; Published October 4 2022. Editor: Meijia Zhang, China Agricultural University, CHINA. -- This is an open access article distributed under the terms of the Creative...| Biblioteca(s): INIA Las Brujas. |
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| 8. | | LEITE, F.F.G.D.; ALVES, B.J.R.; NÓBREGA, G.N.; CORDEIRO, R.C.; CESÁRIO, F.V.; CAMBARERI, G.S.; FAVERIN, C.; DA SILVEIRA, J.G.; CIGANDA, V.; ARMACOLO, N.M.; ALECRIM, F.B.; RODRIGUES, R.D.A.R. Checking the progress of using the static chamber method for the measurement of greenhouse gases in Latin America. Carbon Management, 2021. doi: https://doi.org/10.1080/17583004.2021.1995503 Aragão Article history: Published online: 27 Oct 2021.
Correspondence author: T Renato de Aragão Ribeiro Rodrigues, e-mail: renato.rodrigues@embrapa.br
Additional information: The authors thank the scholarship supported by the CGIAR Research...| Biblioteca(s): INIA Las Brujas. |
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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 : |
26/04/2023 |
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Actualizado : |
19/06/2023 |
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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 : |
REBOLLO, I.; SCHEFFEL, S.; BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; AGUILAR, I.; PÉREZ DE VIDA, F.; ROSAS, J.E. |
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Afiliación : |
MARÍA INÉS REBOLLO PANUNCIO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Statistics, College of Agriculture, Universidad de la República, Montevideo, Uruguay; SHEILA SCHEFFEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Statistics, College of Agriculture, Universidad de la República, Montevideo, Uruguay; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO MOLINA CASELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Statistics, College of Agriculture, Universidad de la República, Montevideo, Uruguay. |
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Título : |
Consolidating twenty-three years of historical data from an irrigated subtropical rice breeding program in Uruguay. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Crop Science, 2023. https://doi.org/10.1002/csc2.20955 - [Article in Press]. |
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ISSN : |
1435-0653 |
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DOI : |
10.1002/csc2.20955 |
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Idioma : |
Inglés |
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Notas : |
Article history: First published 15 March 2023. -- Corresponding author: jrosas@inia.org.uy -- |
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Contenido : |
Breeding programs generate vast amount of data which are often scattered in separate files. This hinders the application of modern breeding tools such as multi-environment analyses and genomic selection. This research work describes the process of consolidating 23 years of phenotypic, pedigree, and genomic records from the Uruguayan national rice (Oryza sativa L.) breeding program, and the features and structure of the resulting database. Using a custom-made R code, we gathered all the available data from 1997 to 2020 corresponding to field trials, blast disease evaluation nurseries, laboratory analyses of milling and cooking quality, pedigree information, and genomic information for selected advanced breeding lines, and organized it into a relational database. Records of 996 trials in 12 locations over a span of 23 years, 91,636 field plots with information on 14 phenotypic variables, pedigree for 19,447 genotypes, and genomic information regarding 61,260 single nucleotide polymorphism (SNP) markers for 965 genotypes were recovered. The dataset is structured in trials, phenotypes, lines, genomic information, and SNP tables in an easy-to-access relational database, which will be a valuable resource for rice breeding. © 2023 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America |
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Palabras claves : |
Breeding program; Breeding trials; Phenotypic data. |
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Thesagro : |
ORYZA SATIVA L. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 02322naa a2200301 a 4500
001 1064059
005 2023-06-19
008 2023 bl uuuu u00u1 u #d
022 $a1435-0653
024 7 $a10.1002/csc2.20955$2DOI
100 1 $aREBOLLO, I.
245 $aConsolidating twenty-three years of historical data from an irrigated subtropical rice breeding program in Uruguay.$h[electronic resource]
260 $c2023
500 $aArticle history: First published 15 March 2023. -- Corresponding author: jrosas@inia.org.uy --
520 $aBreeding programs generate vast amount of data which are often scattered in separate files. This hinders the application of modern breeding tools such as multi-environment analyses and genomic selection. This research work describes the process of consolidating 23 years of phenotypic, pedigree, and genomic records from the Uruguayan national rice (Oryza sativa L.) breeding program, and the features and structure of the resulting database. Using a custom-made R code, we gathered all the available data from 1997 to 2020 corresponding to field trials, blast disease evaluation nurseries, laboratory analyses of milling and cooking quality, pedigree information, and genomic information for selected advanced breeding lines, and organized it into a relational database. Records of 996 trials in 12 locations over a span of 23 years, 91,636 field plots with information on 14 phenotypic variables, pedigree for 19,447 genotypes, and genomic information regarding 61,260 single nucleotide polymorphism (SNP) markers for 965 genotypes were recovered. The dataset is structured in trials, phenotypes, lines, genomic information, and SNP tables in an easy-to-access relational database, which will be a valuable resource for rice breeding. © 2023 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
650 $aORYZA SATIVA L
653 $aBreeding program
653 $aBreeding trials
653 $aPhenotypic data
700 1 $aSCHEFFEL, S.
700 1 $aBLANCO, P.H.
700 1 $aMOLINA, F.
700 1 $aMARTÍNEZ, S.
700 1 $aCARRACELAS, G.
700 1 $aAGUILAR, I.
700 1 $aPÉREZ DE VIDA, F.
700 1 $aROSAS, J.E.
773 $tCrop Science, 2023. https://doi.org/10.1002/csc2.20955 - [Article in Press].
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