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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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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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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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
29/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 4 |
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Autor : |
BAYEMI, P.H.; BRYANT, M.J.; PINGPOH, D.; IMELE, H.; MBANYA, J.; TANYA, V.; CAVESTANY, D.; AWOH, J.; NGOUCHEME, A.; SALI, D.; EKOUE, F.; NJAKOI, H.; WEBB, E. C. |
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Afiliación : |
Institute of Agricultural Research for Development, Bambui B.P. 51 Bamenda , Cameroon.; University of Reading, Department of Agriculture P.O. Box 236, Reading England.; Institute of Agricultural Research for Development, Bambui B.P. 51 Bamenda , Cameroon.; Institute of Agricultural Research for Development, Bambui B.P. 51 Bamenda , Cameroon.; Institute of Agricultural Research for Development, Bambui B.P. 51 Bamenda , Cameroon.; DANIEL CAVESTANY BOCKING, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Dschang University, faculty of Agriculture.; Institute of Agricultural Research for Development, Bambui B.P. 51 Bamenda , Cameroon.; Institute of Agricultural Research for Development, Bambui B.P. 51 Bamenda , Cameroon.; Institute of Agricultural Research for Development, Yaoundé, Cameroon.; Heifer Project International, Bamenda Cameroon. Department of Animal and Wildlife Sciences, University of Pretoria, South Africa, 0002.; Heifer Project International, Bamenda Cameroon. Department of Animal and Wildlife Sciences, University of Pretoria, South Africa, 0002. |
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Título : |
Participatory rural appraisal of dairy farms in the North West Province of Cameroon. |
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Fecha de publicación : |
2005 |
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Fuente / Imprenta : |
Livestock Research for Rural Development, June 2005, Volume 17, Issue 6. Art. #69. OPEN ACCESS. |
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Descripción física : |
2-s2.0-22444445799 |
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Idioma : |
Inglés |
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Contenido : |
Abstract:A Participatory rural appraisal (PRA) was conducted in dairy farms of the North West Region of Cameroon. The aim of the PRA was to have a better understanding of the prevailing dairy systems, identify problems, and set priorities for research and development that can contribute to improved systems of production. A multidisciplinary team of researchers and extension agents was constituted. It was made up of scientists of the following fields: cattle management, forage science, agro economy, veterinary, dairy technology, nutrition and extension. The research team visited farmers' groups and
divided itself into subgroups for farm and village walks during which direct observations were also noted. The extension agent of the locality, key informant, gave additional information overlooked by farmers. Interviews were also carried out with other stakeholders of the dairy sector. The research team met the day following the visit to agree on a common report. Results show that five small scale dairy production systems
are found in the region: transhumance, improved extensive, semi intensive, zero grazing
and peri-urban. Agriculture is well integrated to dairying. Main constraints include in
order of importance: poor marketing opportunities and long distances to market, limited
grazing land and poor supplementation of cattle, limited health control, inadequate
knowledge in processing, conservation and storage of milk, poor reproductive
management and prolonged calving interval, lack of water in the dry season, poor
housing, poor organization of group, limited number of dairy cows and poor record
keeping. In market oriented farms, reproduction and feeding were the most important
constraints. Main factors influencing dairy production are: milk collection, fresh milk
price, consumer demand, genotype and management. These results suggest that much
can be done to improve production by extending improved packages to dairy farmers. MenosAbstract:A Participatory rural appraisal (PRA) was conducted in dairy farms of the North West Region of Cameroon. The aim of the PRA was to have a better understanding of the prevailing dairy systems, identify problems, and set priorities for research and development that can contribute to improved systems of production. A multidisciplinary team of researchers and extension agents was constituted. It was made up of scientists of the following fields: cattle management, forage science, agro economy, veterinary, dairy technology, nutrition and extension. The research team visited farmers' groups and
divided itself into subgroups for farm and village walks during which direct observations were also noted. The extension agent of the locality, key informant, gave additional information overlooked by farmers. Interviews were also carried out with other stakeholders of the dairy sector. The research team met the day following the visit to agree on a common report. Results show that five small scale dairy production systems
are found in the region: transhumance, improved extensive, semi intensive, zero grazing
and peri-urban. Agriculture is well integrated to dairying. Main constraints include in
order of importance: poor marketing opportunities and long distances to market, limited
grazing land and poor supplementation of cattle, limited health control, inadequate
knowledge in processing, conservation and storage of milk, poor reproductive
management and prolonged calving interval,... Presentar Todo |
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Palabras claves : |
CAMEROON; CATTLE; MILK; PARTICIPATORY RURAL APPRAISAL; SISTEMAS LECHEROS. |
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Thesagro : |
LECHE. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13662/1/Livestock-Research-for-Rural-Development-Cavestany2005..pdf
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Marc : |
LEADER 02913naa a2200349 a 4500
001 1047874
005 2019-10-29
008 2005 bl uuuu u00u1 u #d
100 1 $aBAYEMI, P.H.
245 $aParticipatory rural appraisal of dairy farms in the North West Province of Cameroon.$h[electronic resource]
260 $c2005
300 $c2-s2.0-22444445799
520 $aAbstract:A Participatory rural appraisal (PRA) was conducted in dairy farms of the North West Region of Cameroon. The aim of the PRA was to have a better understanding of the prevailing dairy systems, identify problems, and set priorities for research and development that can contribute to improved systems of production. A multidisciplinary team of researchers and extension agents was constituted. It was made up of scientists of the following fields: cattle management, forage science, agro economy, veterinary, dairy technology, nutrition and extension. The research team visited farmers' groups and divided itself into subgroups for farm and village walks during which direct observations were also noted. The extension agent of the locality, key informant, gave additional information overlooked by farmers. Interviews were also carried out with other stakeholders of the dairy sector. The research team met the day following the visit to agree on a common report. Results show that five small scale dairy production systems are found in the region: transhumance, improved extensive, semi intensive, zero grazing and peri-urban. Agriculture is well integrated to dairying. Main constraints include in order of importance: poor marketing opportunities and long distances to market, limited grazing land and poor supplementation of cattle, limited health control, inadequate knowledge in processing, conservation and storage of milk, poor reproductive management and prolonged calving interval, lack of water in the dry season, poor housing, poor organization of group, limited number of dairy cows and poor record keeping. In market oriented farms, reproduction and feeding were the most important constraints. Main factors influencing dairy production are: milk collection, fresh milk price, consumer demand, genotype and management. These results suggest that much can be done to improve production by extending improved packages to dairy farmers.
650 $aLECHE
653 $aCAMEROON
653 $aCATTLE
653 $aMILK
653 $aPARTICIPATORY RURAL APPRAISAL
653 $aSISTEMAS LECHEROS
700 1 $aBRYANT, M.J.
700 1 $aPINGPOH, D.
700 1 $aIMELE, H.
700 1 $aMBANYA, J.
700 1 $aTANYA, V.
700 1 $aCAVESTANY, D.
700 1 $aAWOH, J.
700 1 $aNGOUCHEME, A.
700 1 $aSALI, D.
700 1 $aEKOUE, F.
700 1 $aNJAKOI, H.
700 1 $aWEBB, E. C.
773 $tLivestock Research for Rural Development, June 2005, Volume 17, Issue 6. Art. #69. OPEN ACCESS.
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