|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
29/01/2024 |
Actualizado : |
29/01/2024 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
LOPES, J.F.; CANOZZI, M.E.A.; GONÇALVES, T.L.; DA ROCHA, M.K.; SARTORI, E.D.; SESSIM, A.G.; DE PAULA PEREIRA, I.; DE AGUIAR, L.K.; PAPARAS, D.; MENEGASSI, S.R.O.; KOETZ, C.; OAIGEN, R.P.; ZAGO, D.; BARCELLOS, J.O.J. |
Afiliación : |
JUSECLÉIA FERREIRA LOPES, Universidade Federal do Rio Grande do Sul, Departamento de Zootecnia, RS, Porto Alegre, Brazil; MARÍA EUGENIA ANDRIGHETTO CANOZZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; THAÍS LOPES GONÇALVES, Universidade Federal do Pampa, RS, Uruguaiana, Brazil; MARCELA KUCZYNSKI DA ROCHA, Universidade Federal do Rio Grande do Sul, Departamento de Zootecnia, RS, Porto Alegre, Brazil; EVERTON DEZORDI SARTORI, Universidade Federal do Rio Grande do Sul, Departamento de Zootecnia, RS, Porto Alegre, Brazil; AMIR GIL SESSIM, Universidade Federal do Rio Grande do Sul, Departamento de Zootecnia, RS, Porto Alegre, Brazil; IZABELA DE PAULA PEREIRA, Universidade Federal do Rio Grande do Sul, Departamento de Zootecnia, RS, Porto Alegre, Brazil; LUIS KLUWE DE AGUIAR, Harper Adams University, Department of Food Science and Agrifood Supply Chain Management, Shropshire, Newport, United Kingdom; DIMITRIOS PAPARAS, Harper Adams University, Food, Land and Agribusiness Management Department, Shropshire, Newport, United Kingdom; SILVIO RENATO OLIVEIRA MENEGASSI, Universidade Federal do Rio Grande do Sul, Departamento de Zootecnia, RS, Porto Alegre, Brazil; CELSO KOETZ, Universidade Norte do Paraná, PR, Arapongas, Brazil; RICARDO PEDROSO OAIGEN, Universidade Federal do Pampa, RS, Uruguaiana, Brazil; DANIELE ZAGO, Universidade Federal do Rio Grande do Sul, Departamento de Zootecnia, RS, Porto Alegre, Brazil; JÚLIO OTÁVIO JARDIM BARCELLOS, Universidade Federal do Rio Grande do Sul, Departamento de Zootecnia, RS, Porto Alegre, Brazil. |
Título : |
Price determinants of beef bulls sold in livestock auctions. |
Complemento del título : |
Animal production systems and agribusiness. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Revista Brasileira de Zootecnia, 2023, Volume 52, e20210227. https://doi.org/10.37496/rbz5220210227 -- OPEN ACCESS. |
ISSN : |
1516-3598; e-ISSN 1806-9290 |
DOI : |
10.37496/rbz5220210227 |
Idioma : |
Inglés |
Notas : |
Article history: Received 17 December 2021, Accepted 2 February 2023, Publication in this collection 09 October 2023, Date of issue 2023. -- Document type: Article Gold Open Access. -- Correspondence: Barcellos, J.O.J.; Universidade Federal do Rio Grande do Sul, Departamento de Zootecnia, RS, Porto Alegre, Brazil; email:julio.barcellos@ufrgs.br -- Funding: The authors are grateful for the financial support of the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). -- License: This is an open access article distributed under the terms of the
Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). |
Contenido : |
ABSTRACT.- The main objective of this study was to evaluate the effects of phenotypic, genotypic, and auction characteristics that may influence the selling prices of bulls. Data from 1,540 Braford and 1,179 Brangus bulls sold at auctions in the state of Rio Grande do Sul, Brazil, were collected and evaluated individually. Body condition score (BCS), muscularity, frame, foreskin size, presence or absence of horns, and data regarding the auction such as name/venue, event edition, forms of payment, among others, were considered. Information such as weight at the time of sale, scrotal circumference (SC), expected profit differences, selection indexes, and date of birth were collected from the catalogs supplied at the auctions. To obtain the influence of the selected explanatory variables throughout the conditional distribution of bull prices, a quantile regression was used, and the quantiles were established as follows: 10th, 25th, 50th, 75th, and 90th. The buyers of Braford and Brangus bulls valued characteristics such as age, weight, and SC in relation to frame, muscularity, BCS, and foreskin size. In addition, the price behavior at different auctions was positively related to the operation time of the auction in this market and with the reputation of the seller. Regarding genetic variables of Brangus bulls, these had little or no influence on the selling price. There was a positive influence on the weaning index in the 90th quantile and on the final index in the 50th and 75th quantiles. Buyers of synthetic bull breeds at auctions value the phenotypic characteristics of bulls more than they do genetic characteristics, which may not reflect permanent gains in the cattle herd. © This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. MenosABSTRACT.- The main objective of this study was to evaluate the effects of phenotypic, genotypic, and auction characteristics that may influence the selling prices of bulls. Data from 1,540 Braford and 1,179 Brangus bulls sold at auctions in the state of Rio Grande do Sul, Brazil, were collected and evaluated individually. Body condition score (BCS), muscularity, frame, foreskin size, presence or absence of horns, and data regarding the auction such as name/venue, event edition, forms of payment, among others, were considered. Information such as weight at the time of sale, scrotal circumference (SC), expected profit differences, selection indexes, and date of birth were collected from the catalogs supplied at the auctions. To obtain the influence of the selected explanatory variables throughout the conditional distribution of bull prices, a quantile regression was used, and the quantiles were established as follows: 10th, 25th, 50th, 75th, and 90th. The buyers of Braford and Brangus bulls valued characteristics such as age, weight, and SC in relation to frame, muscularity, BCS, and foreskin size. In addition, the price behavior at different auctions was positively related to the operation time of the auction in this market and with the reputation of the seller. Regarding genetic variables of Brangus bulls, these had little or no influence on the selling price. There was a positive influence on the weaning index in the 90th quantile and on the final index in the 50th and 75t... Presentar Todo |
Palabras claves : |
Animal production; Beef cattle; Marketing; Phenotypic variation; PLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL - INIA. |
Asunto categoría : |
L01 Ganadería |
URL : |
https://rbz.org.br/wp-content/uploads/articles_xml/1806-9290-rbz-52-e20210227/1806-9290-rbz-52-e20210227.pdf
|
Marc : |
LEADER 03749naa a2200373 a 4500 001 1064443 005 2024-01-29 008 2023 bl uuuu u00u1 u #d 022 $a1516-3598; e-ISSN 1806-9290 024 7 $a10.37496/rbz5220210227$2DOI 100 1 $aLOPES, J.F. 245 $aPrice determinants of beef bulls sold in livestock auctions.$h[electronic resource] 260 $c2023 500 $aArticle history: Received 17 December 2021, Accepted 2 February 2023, Publication in this collection 09 October 2023, Date of issue 2023. -- Document type: Article Gold Open Access. -- Correspondence: Barcellos, J.O.J.; Universidade Federal do Rio Grande do Sul, Departamento de Zootecnia, RS, Porto Alegre, Brazil; email:julio.barcellos@ufrgs.br -- Funding: The authors are grateful for the financial support of the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). -- License: This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). 520 $aABSTRACT.- The main objective of this study was to evaluate the effects of phenotypic, genotypic, and auction characteristics that may influence the selling prices of bulls. Data from 1,540 Braford and 1,179 Brangus bulls sold at auctions in the state of Rio Grande do Sul, Brazil, were collected and evaluated individually. Body condition score (BCS), muscularity, frame, foreskin size, presence or absence of horns, and data regarding the auction such as name/venue, event edition, forms of payment, among others, were considered. Information such as weight at the time of sale, scrotal circumference (SC), expected profit differences, selection indexes, and date of birth were collected from the catalogs supplied at the auctions. To obtain the influence of the selected explanatory variables throughout the conditional distribution of bull prices, a quantile regression was used, and the quantiles were established as follows: 10th, 25th, 50th, 75th, and 90th. The buyers of Braford and Brangus bulls valued characteristics such as age, weight, and SC in relation to frame, muscularity, BCS, and foreskin size. In addition, the price behavior at different auctions was positively related to the operation time of the auction in this market and with the reputation of the seller. Regarding genetic variables of Brangus bulls, these had little or no influence on the selling price. There was a positive influence on the weaning index in the 90th quantile and on the final index in the 50th and 75th quantiles. Buyers of synthetic bull breeds at auctions value the phenotypic characteristics of bulls more than they do genetic characteristics, which may not reflect permanent gains in the cattle herd. © This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 653 $aAnimal production 653 $aBeef cattle 653 $aMarketing 653 $aPhenotypic variation 653 $aPLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL - INIA 700 1 $aCANOZZI, M.E.A. 700 1 $aGONÇALVES, T.L. 700 1 $aDA ROCHA, M.K. 700 1 $aSARTORI, E.D. 700 1 $aSESSIM, A.G. 700 1 $aDE PAULA PEREIRA, I. 700 1 $aDE AGUIAR, L.K. 700 1 $aPAPARAS, D. 700 1 $aMENEGASSI, S.R.O. 700 1 $aKOETZ, C. 700 1 $aOAIGEN, R.P. 700 1 $aZAGO, D. 700 1 $aBARCELLOS, J.O.J. 773 $tRevista Brasileira de Zootecnia, 2023, Volume 52, e20210227. https://doi.org/10.37496/rbz5220210227 -- OPEN ACCESS.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
14/08/2020 |
Actualizado : |
14/08/2020 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); GRAS |
Afiliación : |
UNIDAD DE AGROCLIMA Y SISTEMAS DE INFORMACIÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe agroclimático 2020- Situación a Junio. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2020. |
Páginas : |
4 p. |
Serie : |
(Informe Agroclimático; Año 15, No.6) |
Idioma : |
Español |
Notas : |
Equipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. |
Contenido : |
Contenido. Síntesis de la Situación Agroclimática de Junio-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia -- Índice de Vegetación (IVDN) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Índice de Bienestar Hídrico (IBH) -- Agua No Retenida (ANR) -- Perspectivas Climáticas Jul-Ago-Set elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Previsión de condiciones ambientales para corderos.
Se encuentran disponible en la web del GRAS dentro del ítem "Alertas y herramientas". Acceso directo: http://www.inia.uy/gras/Alertas-y-herramientas/Prevision%20Corderos |
Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; AGTECH; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICAS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2020; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.inia.uy/Publicaciones/Documentos%20compartidos/Informe%20agroclimatico%20INIA-GRAS%20Junio%20de%202020.pdf
|
Marc : |
LEADER 02969nam a2200817 a 4500 001 1061272 005 2020-08-14 008 2020 bl uuuu u0uu1 u #d 100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA) 245 $aInforme agroclimático 2020- Situación a Junio.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2020 300 $a4 p. 490 $a(Informe Agroclimático; Año 15, No.6) 500 $aEquipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. 520 $aContenido. Síntesis de la Situación Agroclimática de Junio-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia -- Índice de Vegetación (IVDN) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Índice de Bienestar Hídrico (IBH) -- Agua No Retenida (ANR) -- Perspectivas Climáticas Jul-Ago-Set elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Previsión de condiciones ambientales para corderos. Se encuentran disponible en la web del GRAS dentro del ítem "Alertas y herramientas". Acceso directo: http://www.inia.uy/gras/Alertas-y-herramientas/Prevision%20Corderos 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMATICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPORACION 650 $aEVAPOTRANSPIRACION 650 $aHUMEDAD 650 $aHUMEDAD RELATIVA 650 $aLLUVIA 650 $aMETEOROLOGIA 650 $aPERSPECTIVAS 650 $aPLUVIOMETROS 650 $aPRONOSTICO DEL TIEMPO 650 $aSENSORES 650 $aSISTEMAS 650 $aSISTEMAS DE INFORMACION 650 $aSUELO 650 $aTEMPERATURA 650 $aTERMOMETROS 653 $aAGROCLIMA 653 $aAGROCLIMATOLOGÍA 653 $aAGTECH 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aESTRÉS HÍDRICO 653 $aGRAFICAS AGROCLIMATICAS 653 $aGRAS 653 $aHELIOFANOGRAFO 653 $aINFORMACION SATELITAL 653 $aINFORME AGROCLIMÁTICO 2020 653 $aINUNDACIONES 653 $aLLUVIAS DIARIAS 653 $aMAXIMA 653 $aMEDIA 653 $aMINIMA 653 $aPANEL SOLAR 653 $aPERSPECTIVAS CLIMATICAS 653 $aPLUVIOMETRO 653 $aPRECIPITACION NACIONAL 653 $aPREVENCION HELADAS 653 $aPRONOSTICO 653 $aSENSOR 653 $aSIMETRICO 653 $aTANQUE A 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aGRAS
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|