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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
09/09/2020 |
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Actualizado : |
05/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
RAEGAN HOEFLER; GONZALEZ-BARRIOS , P.; MADHAV BHATTA; NUNES, J.A.R.; BERRO, I.; NALIN, R.S.; BORGES, A.; COVARRUBIAS, E.; DIAZ-GARCIA, L.; QUINCKE, M.; GUTIERREZ, L. |
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Afiliación : |
HOEFLER, R., Department of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; PABLO GONZALEZ-BARRIOS, Dpartment of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; BHATTA, M., Department of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; JOSE A. R. NUNES, Department of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; INES BERRO, Department of Agronomy, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI, 53706, USA; RAFAEL S. NALIN, Department of Genetics, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, 131418-900, Brazil.; ALEJANDRA BORGES, Statistics Department, Facultad de Agronomía, Univesidad de la República, Garzón 780, Montevideo, Uruguay.; EDUARDO COVARRUBIAS, CGIAR Excellence in Breeding Platform (EiB), El Batan, Mexico International Maize and Wheat Improvement Center (CIMMYT), El Batan, Mexico.; LUIS DIAZ-GARCIA, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias, 20676, Aguascalientes, Mexico.; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCIA GUTIERREZ, Department of Agronomy, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI, 53706, USA. |
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Título : |
Do Spatial Designs Outperform Classic Experimental Designs?. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Journal of Agricultural, Biological, and Environmental Statistics, 1 December 2020, volume 25, number 4, pag.523-552, 1 December 2020. OPEN ACCESS. Doi: https://doi.org/10.1007/s13253-020-00406-2 |
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DOI : |
10.1007/s13253-020-00406-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 15 October 2019/Accepted 01 July 2020/Published 29 August 2020. This project was partially funded through a USDA_AFRI_NIFA_2018-67013-27620 award and by the Hatch Act Formula Fund WISO1984 and WIS03002. Additionally, JARN received funding from CAPES CAPES_PrInt_UFLA 88887.318846_2019-00 as Senior Visiting Professor at the University of Wisconsin-Madison. |
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Contenido : |
Controlling spatial variation in agricultural field trials is the most important step to compare treatments efficiently and accurately. Spatial variability can be controlled at the experimental design level with the assignment of treatments to experimental units and at the modeling level with the use of spatial corrections and other modeling strategies. The goal of this study was to compare the efficiency of methods used to control spatial variation in a wide range of scenarios using a simulation approach based on real wheat data. Specifically, classic and spatial experimental designs with and without a twodimensional autoregressive spatial correction were evaluated in scenarios that include differing experimental unit sizes, experiment sizes, relationships among genotypes, genotype by environment interaction levels, and trait heritabilities. Fully replicated designs outperformed partially and unreplicated designs in terms of accuracy; the alpha-lattice incomplete block design was best in all scenarios of the medium-sized experiments.
However, in terms of response to selection, partially replicated experiments that evaluate large population sizes were superior in most scenarios. The AR1×AR1 spatial correction had little benefit in most scenarios except for the medium-sized experiments with the largest experimental unit size and low GE. Overall, the results from this study provide a guide to researchers designing and analyzing large field experiments. Supplementary materials accompanying this paper appear online. MenosControlling spatial variation in agricultural field trials is the most important step to compare treatments efficiently and accurately. Spatial variability can be controlled at the experimental design level with the assignment of treatments to experimental units and at the modeling level with the use of spatial corrections and other modeling strategies. The goal of this study was to compare the efficiency of methods used to control spatial variation in a wide range of scenarios using a simulation approach based on real wheat data. Specifically, classic and spatial experimental designs with and without a twodimensional autoregressive spatial correction were evaluated in scenarios that include differing experimental unit sizes, experiment sizes, relationships among genotypes, genotype by environment interaction levels, and trait heritabilities. Fully replicated designs outperformed partially and unreplicated designs in terms of accuracy; the alpha-lattice incomplete block design was best in all scenarios of the medium-sized experiments.
However, in terms of response to selection, partially replicated experiments that evaluate large population sizes were superior in most scenarios. The AR1×AR1 spatial correction had little benefit in most scenarios except for the medium-sized experiments with the largest experimental unit size and low GE. Overall, the results from this study provide a guide to researchers designing and analyzing large field experiments. Supplementary materials ... Presentar Todo |
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Palabras claves : |
AUTOREGRESSIVE PROCESS; EXPERIMENTAL DESIGN; PREDICTION ACCURACY; RANDOMIZATION-BASED EXPERIMENTAL DESIGNS; RESPONSE TO SELECTION; SPATIAL CORRECTION. |
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Thesagro : |
DISENO EXPERIMENTAL. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16700/1/JABES-2020.pdf
https://link.springer.com/content/pdf/10.1007/s13253-020-00406-2.pdf
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Marc : |
LEADER 03067naa a2200349 a 4500
001 1061304
005 2022-09-05
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1007/s13253-020-00406-2$2DOI
100 1 $aRAEGAN HOEFLER
245 $aDo Spatial Designs Outperform Classic Experimental Designs?.$h[electronic resource]
260 $c2020
500 $aArticle history: Received 15 October 2019/Accepted 01 July 2020/Published 29 August 2020. This project was partially funded through a USDA_AFRI_NIFA_2018-67013-27620 award and by the Hatch Act Formula Fund WISO1984 and WIS03002. Additionally, JARN received funding from CAPES CAPES_PrInt_UFLA 88887.318846_2019-00 as Senior Visiting Professor at the University of Wisconsin-Madison.
520 $aControlling spatial variation in agricultural field trials is the most important step to compare treatments efficiently and accurately. Spatial variability can be controlled at the experimental design level with the assignment of treatments to experimental units and at the modeling level with the use of spatial corrections and other modeling strategies. The goal of this study was to compare the efficiency of methods used to control spatial variation in a wide range of scenarios using a simulation approach based on real wheat data. Specifically, classic and spatial experimental designs with and without a twodimensional autoregressive spatial correction were evaluated in scenarios that include differing experimental unit sizes, experiment sizes, relationships among genotypes, genotype by environment interaction levels, and trait heritabilities. Fully replicated designs outperformed partially and unreplicated designs in terms of accuracy; the alpha-lattice incomplete block design was best in all scenarios of the medium-sized experiments. However, in terms of response to selection, partially replicated experiments that evaluate large population sizes were superior in most scenarios. The AR1×AR1 spatial correction had little benefit in most scenarios except for the medium-sized experiments with the largest experimental unit size and low GE. Overall, the results from this study provide a guide to researchers designing and analyzing large field experiments. Supplementary materials accompanying this paper appear online.
650 $aDISENO EXPERIMENTAL
653 $aAUTOREGRESSIVE PROCESS
653 $aEXPERIMENTAL DESIGN
653 $aPREDICTION ACCURACY
653 $aRANDOMIZATION-BASED EXPERIMENTAL DESIGNS
653 $aRESPONSE TO SELECTION
653 $aSPATIAL CORRECTION
700 1 $aGONZALEZ-BARRIOS , P.
700 1 $aMADHAV BHATTA
700 1 $aNUNES, J.A.R.
700 1 $aBERRO, I.
700 1 $aNALIN, R.S.
700 1 $aBORGES, A.
700 1 $aCOVARRUBIAS, E.
700 1 $aDIAZ-GARCIA, L.
700 1 $aQUINCKE, M.
700 1 $aGUTIERREZ, L.
773 $tJournal of Agricultural, Biological, and Environmental Statistics, 1 December 2020, volume 25, number 4, pag.523-552, 1 December 2020. OPEN ACCESS. Doi: https://doi.org/10.1007/s13253-020-00406-2
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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
07/11/2018 |
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Actualizado : |
09/10/2019 |
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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 : |
MEDEIROS, M.A.; BARROS, A.T.M.; MEDEIROS, R.M.T.; VIEIRA, V.D.; AZEVEDO, S.S.; RIET-CORREA, F. |
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Afiliación : |
Hospital Veterinário, Centro de Saúde e Tecnologia Rural (CSTR), Universidade Federal de Campina Grande (UFCG), Brazil.; Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Centro Nacional de Pesquisa de Gado de Corte, Brazil.; ROSANA MARIA TRINDADE MEDEIROS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Hospital Veterinário, Centro de Saúde e Tecnologia Rural (CSTR), Universidade Federal de Campina Grande (UFCG), Brazil.; Hospital Veterinário, Centro de Saúde e Tecnologia Rural (CSTR), Universidade Federal de Campina Grande (UFCG), Brazil.; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Sazonalidade da mosca-dos-chifres, Haematobia irritans, no semiárido brasileiro. [Seasonality of horn flies (Haematobia irritans) in the Brazilian semi-arid.] |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Pesquisa Veterinária Brasileira v.38 ,n.7. p. 1307-1312, July 2018. OPEN ACCESS. |
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ISSN : |
0100-736X (Print) / 1678-5150 (Online) |
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DOI : |
10.1590/1678-5150-PVB-5531 |
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Idioma : |
Portugués |
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Notas : |
Article history: Recebido em 7 de setembro de 2017. // Aceito para publicação em 14 de setembro de 2017.
Parte da Tese de Doutorado do primeiro autor, Programa de Pós-Graduação em Medicina Veterinária. |
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Contenido : |
ABSTRACT.
The horn fly (Haematobia irritans) is a major livestock pest in Brazil. Despite of the regional needs, no studies assessing its importance and subsidizing its control are available for the Brazilian northeast. The present study aimed to know the population dynamics and determine the infestation levels of H. irritans on cattle in the semiarid region of the Paraíba state, in order to support control programs. The study was conducted at the Nucleus of Research for the Semiarid Tropics, Federal University of Campina Grande, municipality of Patos, Paraíba. During 42 months, from April 2011 to September 2014, horn fly counts were performed every 14 days in a Sindi herd (26 cows and a bull). The main climatic parameters were recorded daily. Horn fly infestations occurred throughout the study, with individual infestations above 100 flies at all counts, monthly mean infestations of up to 183 flies/cow and maximum individual infestations of 500 flies on cows and 1, 800 flies on the bull. Influenced by microclimatic influence of large reservoirs, the horn fly population showed a bimodal behavior, with population peaks in October/November and March. No significant correlation between climatic factors and fly counts was found. In order to avoid infestation peaks and to reduce subsequent economic losses, control measures are recommended.
© 2018 Colegio Brasileiro de Patologia Animal. All rights reserved.
RESUMO.
A mosca-dos-chifres (Haematobia irritans) é uma dos principais pragas que afetam a pecuária no Brasil. A despeito das carências regionais, inexistem estudos que avaliem sua importância e subsidiem seu controle no nordeste brasileiro. O presente estudo objetivou conhecer a dinâmica populacional e determinar os níveis de infestação da H. irritans no semiárido paraibano, visando subsidiar programas de controle. O estudo foi conduzido no Núcleo de Pesquisa para o Trópico Semiárido, Universidade Federal de Campina Grande, município de Patos, Paraíba. Durante 42 meses, de abril 2011 a setembro 2014, contagens de moscas-dos-chifres foram realizadas a cada 14 dias em um rebanho Sindi (26 vacas e um touro). Paralelamente, foram registrados diariamente os principais parâmetros climáticos. Infestações da mosca‑dos‑chifres ocorreram durante todo o período de estudo, com infestações individuais superiores a 100 moscas em todas as contagens, infestações médias mensais de até 183 moscas/vaca e infestações individuais máximas de 500 moscas nas vacas e 1.800 moscas no touro. Influenciados pela influência microclimática de grandes açudes, a mosca-dos-chifres apresentou comportamento bimodal, com picos populacionais anuais em outubro/novembro e março. Não foi encontrada correlação significativa entre fatores climáticos e resultados das contagens. De modo a evitar os picos de infestação e reduzir perdas econômicas subsequentes, medidas de controle são recomendadas. MenosABSTRACT.
The horn fly (Haematobia irritans) is a major livestock pest in Brazil. Despite of the regional needs, no studies assessing its importance and subsidizing its control are available for the Brazilian northeast. The present study aimed to know the population dynamics and determine the infestation levels of H. irritans on cattle in the semiarid region of the Paraíba state, in order to support control programs. The study was conducted at the Nucleus of Research for the Semiarid Tropics, Federal University of Campina Grande, municipality of Patos, Paraíba. During 42 months, from April 2011 to September 2014, horn fly counts were performed every 14 days in a Sindi herd (26 cows and a bull). The main climatic parameters were recorded daily. Horn fly infestations occurred throughout the study, with individual infestations above 100 flies at all counts, monthly mean infestations of up to 183 flies/cow and maximum individual infestations of 500 flies on cows and 1, 800 flies on the bull. Influenced by microclimatic influence of large reservoirs, the horn fly population showed a bimodal behavior, with population peaks in October/November and March. No significant correlation between climatic factors and fly counts was found. In order to avoid infestation peaks and to reduce subsequent economic losses, control measures are recommended.
© 2018 Colegio Brasileiro de Patologia Animal. All rights reserved.
RESUMO.
A mosca-dos-chifres (Haematobia irritans) é uma dos principais pr... Presentar Todo |
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Palabras claves : |
BRAZILIAN SEMI-ARID; CONTROLE; DINAMICA POPULACIONAL; ECTOPARASITE; ECTOPARASITO; HAEMATOBIA IRRITANS; HORN FLIES; MOSCA-DOS-CHIFRES; PLATAFORMA SALUD ANIMAL; POPULATION DYNAMICS; SAZONALIDADE; SEASONALITY; SEMIÁRIDO PARAIBANO; STRATEGIC CONTROL. |
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Asunto categoría : |
L72 Plagas de los animales |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/11866/1/05-09-2018-13-2909-pvbAO2662.pdf
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Marc : |
LEADER 04387naa a2200385 a 4500
001 1059276
005 2019-10-09
008 2018 bl uuuu u00u1 u #d
022 $a0100-736X (Print) / 1678-5150 (Online)
024 7 $a10.1590/1678-5150-PVB-5531$2DOI
100 1 $aMEDEIROS, M.A.
245 $aSazonalidade da mosca-dos-chifres, Haematobia irritans, no semiárido brasileiro. [Seasonality of horn flies (Haematobia irritans) in the Brazilian semi-arid.]$h[electronic resource]
260 $c2018
500 $aArticle history: Recebido em 7 de setembro de 2017. // Aceito para publicação em 14 de setembro de 2017. Parte da Tese de Doutorado do primeiro autor, Programa de Pós-Graduação em Medicina Veterinária.
520 $aABSTRACT. The horn fly (Haematobia irritans) is a major livestock pest in Brazil. Despite of the regional needs, no studies assessing its importance and subsidizing its control are available for the Brazilian northeast. The present study aimed to know the population dynamics and determine the infestation levels of H. irritans on cattle in the semiarid region of the Paraíba state, in order to support control programs. The study was conducted at the Nucleus of Research for the Semiarid Tropics, Federal University of Campina Grande, municipality of Patos, Paraíba. During 42 months, from April 2011 to September 2014, horn fly counts were performed every 14 days in a Sindi herd (26 cows and a bull). The main climatic parameters were recorded daily. Horn fly infestations occurred throughout the study, with individual infestations above 100 flies at all counts, monthly mean infestations of up to 183 flies/cow and maximum individual infestations of 500 flies on cows and 1, 800 flies on the bull. Influenced by microclimatic influence of large reservoirs, the horn fly population showed a bimodal behavior, with population peaks in October/November and March. No significant correlation between climatic factors and fly counts was found. In order to avoid infestation peaks and to reduce subsequent economic losses, control measures are recommended. © 2018 Colegio Brasileiro de Patologia Animal. All rights reserved. RESUMO. A mosca-dos-chifres (Haematobia irritans) é uma dos principais pragas que afetam a pecuária no Brasil. A despeito das carências regionais, inexistem estudos que avaliem sua importância e subsidiem seu controle no nordeste brasileiro. O presente estudo objetivou conhecer a dinâmica populacional e determinar os níveis de infestação da H. irritans no semiárido paraibano, visando subsidiar programas de controle. O estudo foi conduzido no Núcleo de Pesquisa para o Trópico Semiárido, Universidade Federal de Campina Grande, município de Patos, Paraíba. Durante 42 meses, de abril 2011 a setembro 2014, contagens de moscas-dos-chifres foram realizadas a cada 14 dias em um rebanho Sindi (26 vacas e um touro). Paralelamente, foram registrados diariamente os principais parâmetros climáticos. Infestações da mosca‑dos‑chifres ocorreram durante todo o período de estudo, com infestações individuais superiores a 100 moscas em todas as contagens, infestações médias mensais de até 183 moscas/vaca e infestações individuais máximas de 500 moscas nas vacas e 1.800 moscas no touro. Influenciados pela influência microclimática de grandes açudes, a mosca-dos-chifres apresentou comportamento bimodal, com picos populacionais anuais em outubro/novembro e março. Não foi encontrada correlação significativa entre fatores climáticos e resultados das contagens. De modo a evitar os picos de infestação e reduzir perdas econômicas subsequentes, medidas de controle são recomendadas.
653 $aBRAZILIAN SEMI-ARID
653 $aCONTROLE
653 $aDINAMICA POPULACIONAL
653 $aECTOPARASITE
653 $aECTOPARASITO
653 $aHAEMATOBIA IRRITANS
653 $aHORN FLIES
653 $aMOSCA-DOS-CHIFRES
653 $aPLATAFORMA SALUD ANIMAL
653 $aPOPULATION DYNAMICS
653 $aSAZONALIDADE
653 $aSEASONALITY
653 $aSEMIÁRIDO PARAIBANO
653 $aSTRATEGIC CONTROL
700 1 $aBARROS, A.T.M.
700 1 $aMEDEIROS, R.M.T.
700 1 $aVIEIRA, V.D.
700 1 $aAZEVEDO, S.S.
700 1 $aRIET-CORREA, F.
773 $tPesquisa Veterinária Brasileira$gv.38 ,n.7. p. 1307-1312, July 2018. OPEN ACCESS.
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