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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
28/12/2018 |
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Actualizado : |
02/01/2019 |
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Tipo de producción científica : |
Poster |
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Autor : |
BRANDARIZ, S.P.; GONZÁLEZ-REYMÚNDEZ, A.; LADO, B.; QUINCKE, M.; VON ZITZEWITZ, J.; CASTRO, M.; MATUS, I.; DEL POZO, A.; GUTIÉRREZ , L. |
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Afiliación : |
Departamento de Estadística, Biometría y Cómputos. Facultad de Agronomía, Universidad de la República. Garzón 780, Montevideo 12900, Uruguay.; Departamento de Estadística, Biometría y Cómputos. Facultad de Agronomía, Universidad de la República. Garzón 780, Montevideo 12900, Uruguay,; BETTINA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Departamento de Estadística, Biometría y Cómputos. Facultad de Agronomía, Universidad de la República. Garzón 780, Montevideo 12900, Uruguay,; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JARISLAV RAMON VON ZITZEWITZ VON SALVIATI, Secobra Saatzucht GmbH Feldkirchen 3, 85368 Moosburg, Germany,; MARINA CASTRO DERENYI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Instituto de Investigaciones Agropecuarias, Centro Regional de Investigación Quilamapu, Casilla 426, Chillán, Chile.; Facultad de Ciencias Agrarias, Universidad de Talca, Casilla 747, Talca, Chile.; LUCCÍA GUTIÉRREZ, Departamento de Estadística, Biometría y Cómputos. Facultad de Agronomía, Universidad de la República. Garzón 780, Montevideo 12900, Uruguay. |
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Título : |
Effect of using imputed missing data on QTL detection on a wheat GWAS panel. [Poster]. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
In: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018. |
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Páginas : |
p. 304. |
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Serie : |
(INIA Serie Técnica; 241). |
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ISSN : |
1688-9266 |
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Idioma : |
Español |
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Thesagro : |
TRIGO. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12228/1/st-241-2018.p.304-Brandariz-et-al.pdf
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Marc : |
LEADER 00870nam a2200241 a 4500
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008 2018 bl uuuu u00u1 u #d
022 $a1688-9266
100 1 $aBRANDARIZ, S.P.
245 $aEffect of using imputed missing data on QTL detection on a wheat GWAS panel. [Poster].$h[electronic resource]
260 $aIn: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA$c2018
300 $ap. 304.
490 $a(INIA Serie Técnica; 241).
650 $aTRIGO
700 1 $aGONZÁLEZ-REYMÚNDEZ, A.
700 1 $aLADO, B.
700 1 $aQUINCKE, M.
700 1 $aVON ZITZEWITZ, J.
700 1 $aCASTRO, M.
700 1 $aMATUS, I.
700 1 $aDEL POZO, A.
700 1 $aGUTIÉRREZ , L.
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Registro original : |
INIA La Estanzuela (LE) |
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
09/03/2022 |
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Actualizado : |
02/12/2022 |
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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 : |
SILVEIRA, F. A.; DE BARBIERI, I.; COBUCI, J. A.; MARQUES, C. B.; FERREIRA, G. F. DE; CIAPPESONI, G. |
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Afiliación : |
FERNANDO AMARILHO-SILVEIRA, Universidade Federal do Rio Grande do Sul, Avenida Bento Gonçalves 7712, RS 91509-900, Brazil; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JAIME ARAUJO COBUCI, Universidade Federal do Rio Grande do Sul, Avenida Bento Gonçalves 7712, RS 91509-900, Brazil; CAMILA BALCONI MARQUES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GRACIALDA FERREIRA DE FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Residual feed intake for Australian Merino sheep estimated in less than 42 days of trial. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Livestock Science, 2022, Volume 258, Article 104889. OPEN ACCESS. doi: https://doi.org/10.1016/j.livsci.2022.104889 |
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ISSN : |
1871-1413 |
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DOI : |
10.1016/j.livsci.2022.104889 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 16 August 2021, Revised 18 February 2022, Accepted 28 February 2022, Available online 3 March 2022, Version of Record 8 March 2022. --
Corresponding author: Fernando Amarilho-Silveira, mailto: fernando@proagovina.com.br -- This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001. Thank the Instituto Nacional de Investigación Agropecuaria (INIA - UY) for the conduction of the field work in the data collection, which received funding from the European Union’s Horizon 2020 research and innovation program under the Grant Agreement n°772787 (Smarter) and from the Instituto Nacional de Investigación (INIA_CL_38: Rumiar). -- LICENSE: This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/). |
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Contenido : |
ABSTRACT.- The evaluation of sheep feed intake (FI) in feed efficiency tests is expensive. Decreasing the test period could be a resource-saving tool by reducing the cost of evaluating each animal and allowing to test a greater number of animals per year. For this reason, the objective of this research was to explore residual feed intake (RFI) models and to decreasing the test duration. Data was collected from 286 Australian Merino sheep of three performed trials, the test period consisted of 56 days (14 days of feed and facilities adaptation and 42 days of FI and average daily gain (ADG) evaluation). Two models were used to calculate RFI, Model 1 (based on Koch et al. (1963) linear model) and Model 2 (repeated measures, weekly model). Model 1 included ADG and FI estimates in a linear regression. The second model included weekly average FI as repeated measure and the weekly ADG. The increase in body weight during the test period was not perfectly linear, presenting a marked variance increase in two of the three tests while FI presented a tendency to increase throughout of the evaluation period, however presenting a high variance per day. In the 42-days tests, Pearson and Spearman correlations between models for ADG were of 0.89 and 0.87, respectively. The best correlations were detected for FI between 42 and 35-days models, presenting Pearson and Spearman correlations of 0.95 and 0.94 in the linear model, and 0.96 and 0.95 in the weekly model. When considering RFI, the correlations between linear and weekly 42-days models were from 0.93 to 0.92, respectively. The 35-days RFI length models (linear and weekly) presented a Pearson and Spearman correlations greater than 0.98 with the 42-days models. Therefore, the RFI models 35-days of duration allowed to decrease seven days of the FI test while maintaining accuracy and explaining 75.3% of the FI in the linear model, and 63.6% of the weekly model. Reducing seven days of testing would provide a greater data collection into a year of phenotypic evaluation. © 2022 The Authors. Published by Elsevier B.V. MenosABSTRACT.- The evaluation of sheep feed intake (FI) in feed efficiency tests is expensive. Decreasing the test period could be a resource-saving tool by reducing the cost of evaluating each animal and allowing to test a greater number of animals per year. For this reason, the objective of this research was to explore residual feed intake (RFI) models and to decreasing the test duration. Data was collected from 286 Australian Merino sheep of three performed trials, the test period consisted of 56 days (14 days of feed and facilities adaptation and 42 days of FI and average daily gain (ADG) evaluation). Two models were used to calculate RFI, Model 1 (based on Koch et al. (1963) linear model) and Model 2 (repeated measures, weekly model). Model 1 included ADG and FI estimates in a linear regression. The second model included weekly average FI as repeated measure and the weekly ADG. The increase in body weight during the test period was not perfectly linear, presenting a marked variance increase in two of the three tests while FI presented a tendency to increase throughout of the evaluation period, however presenting a high variance per day. In the 42-days tests, Pearson and Spearman correlations between models for ADG were of 0.89 and 0.87, respectively. The best correlations were detected for FI between 42 and 35-days models, presenting Pearson and Spearman correlations of 0.95 and 0.94 in the linear model, and 0.96 and 0.95 in the weekly model. When considering RFI, the corre... Presentar Todo |
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Palabras claves : |
Average daily gain; Feed efficiency; Genetic model; Repeated measures. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16902/1/1-s2.0-S1871141322000695.pdf
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Marc : |
LEADER 03781naa a2200265 a 4500
001 1062809
005 2022-12-02
008 2022 bl uuuu u00u1 u #d
022 $a1871-1413
024 7 $a10.1016/j.livsci.2022.104889$2DOI
100 1 $aSILVEIRA, F. A.
245 $aResidual feed intake for Australian Merino sheep estimated in less than 42 days of trial.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 16 August 2021, Revised 18 February 2022, Accepted 28 February 2022, Available online 3 March 2022, Version of Record 8 March 2022. -- Corresponding author: Fernando Amarilho-Silveira, mailto: fernando@proagovina.com.br -- This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001. Thank the Instituto Nacional de Investigación Agropecuaria (INIA - UY) for the conduction of the field work in the data collection, which received funding from the European Union’s Horizon 2020 research and innovation program under the Grant Agreement n°772787 (Smarter) and from the Instituto Nacional de Investigación (INIA_CL_38: Rumiar). -- LICENSE: This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
520 $aABSTRACT.- The evaluation of sheep feed intake (FI) in feed efficiency tests is expensive. Decreasing the test period could be a resource-saving tool by reducing the cost of evaluating each animal and allowing to test a greater number of animals per year. For this reason, the objective of this research was to explore residual feed intake (RFI) models and to decreasing the test duration. Data was collected from 286 Australian Merino sheep of three performed trials, the test period consisted of 56 days (14 days of feed and facilities adaptation and 42 days of FI and average daily gain (ADG) evaluation). Two models were used to calculate RFI, Model 1 (based on Koch et al. (1963) linear model) and Model 2 (repeated measures, weekly model). Model 1 included ADG and FI estimates in a linear regression. The second model included weekly average FI as repeated measure and the weekly ADG. The increase in body weight during the test period was not perfectly linear, presenting a marked variance increase in two of the three tests while FI presented a tendency to increase throughout of the evaluation period, however presenting a high variance per day. In the 42-days tests, Pearson and Spearman correlations between models for ADG were of 0.89 and 0.87, respectively. The best correlations were detected for FI between 42 and 35-days models, presenting Pearson and Spearman correlations of 0.95 and 0.94 in the linear model, and 0.96 and 0.95 in the weekly model. When considering RFI, the correlations between linear and weekly 42-days models were from 0.93 to 0.92, respectively. The 35-days RFI length models (linear and weekly) presented a Pearson and Spearman correlations greater than 0.98 with the 42-days models. Therefore, the RFI models 35-days of duration allowed to decrease seven days of the FI test while maintaining accuracy and explaining 75.3% of the FI in the linear model, and 63.6% of the weekly model. Reducing seven days of testing would provide a greater data collection into a year of phenotypic evaluation. © 2022 The Authors. Published by Elsevier B.V.
653 $aAverage daily gain
653 $aFeed efficiency
653 $aGenetic model
653 $aRepeated measures
700 1 $aDE BARBIERI, I.
700 1 $aCOBUCI, J. A.
700 1 $aMARQUES, C. B.
700 1 $aFERREIRA, G. F. DE
700 1 $aCIAPPESONI, G.
773 $tLivestock Science, 2022, Volume 258, Article 104889. OPEN ACCESS. doi: https://doi.org/10.1016/j.livsci.2022.104889
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