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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
31/03/2021 |
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Actualizado : |
31/03/2021 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
LOURENCO, D.; TSURUTA, S.; FRAGOMENI, B.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; MILLER, S.; MOSER, D.; MISZTAL, I. |
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Afiliación : |
DANIELA LOURENCO, University of Georgia, Department of Animal and Dairy Science, GA, USA; SHOGO TSURUTA, University of Georgia, Department of Animal and Dairy Science, GA, USA; BRENO FRAGOMENI, University of Georgia, Department of Animal and Dairy Science, GA, USA; YUTAKA MASUDA, University of Georgia, Department of Animal and Dairy Science, GA, USA; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS LEGARRA, Institut National de la Recherche Agronomique, Castanet Tolosan, France; STEPHEN MILLER, Angus Genetics Inc., MO, USA; DAN MOSER, Angus Genetics Inc., MO, USA; IGNACY MISZTAL, University of Georgia, Department of Animal and Dairy Science, GA, USA. |
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Título : |
Single-step genomic BLUP for national beef cattle evaluation in US: from initial developments to final implementation. |
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Complemento del título : |
Volume Species - Bovine (beef) 1, 495. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. |
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Idioma : |
Inglés |
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Contenido : |
ABSTRACT.
The objective of this study was to implement single-step genomic BLUP (ssGBLUP) for national Angus cattle evaluation in the US. National evaluations include a variety of models with several linear and categorical traits, maternal effects, multibreed data, and a large number of genotyped animals. For the initial investigation, we used a dataset from 2014 that comprised over 8 million animals, 6 million birth weight (BW) and weaning weight (WW) records, 3.4 million post-weaning gain (PWG) records, and genotypes for 52k animals. A dataset from 2017 was later used that included 335k genotyped animals. The ability to predict future performance of young animals was investigated when using regular BLUP and ssGBLUP. Because of the increasing number of genotyped animals and the high computing cost to invert the genomic relationship matrix (G), the algorithm for proven and young (APY) was used to approximate the inverse of G. The APY uses recursions on a small subset of genotyped animals, called core. We further tested the feasibility of having daily interim genomic predictions for newly-genotyped animals based on SNP effects derived from the previous official ssGBLUP evaluation. In addition, we extended all models used in traditional evaluations to ssGBLUP, and compared genetic trends from traditional BLUP, ssGBLUP, and a multistep method that was implemented for the American Angus genomic evaluation in 2009. A new algorithm to approximate accuracy of GEBV for large genomic data was also developed. On average, the increase in ability to predict future performance, for BW, WW, and PWG, with ssGBLUP was 25% in the 2014 data and 36% in the 2017 data, compared to the traditional BLUP. The ssGBLUP with APY was as accurate as the regular ssGBLUP when the number of core animals was at least 10,000, independently of which animals were in the core group. Interim predictions derived from ssGBLUP provided accurate genomic values for newly-genotyped animals. Genetic trends for ssGBLUP and BLUP were similar, revealing overestimation in multistep evaluations, especially for traits with less phenotypes. Single-step GBLUP became a reality for American Angus evaluation and its implementation process resulted in successful updates in methodology, making this approach mature for national beef cattle evaluation. Keywords: algorithm for proven and young, Angus, genomic selection, indirect prediction. MenosABSTRACT.
The objective of this study was to implement single-step genomic BLUP (ssGBLUP) for national Angus cattle evaluation in the US. National evaluations include a variety of models with several linear and categorical traits, maternal effects, multibreed data, and a large number of genotyped animals. For the initial investigation, we used a dataset from 2014 that comprised over 8 million animals, 6 million birth weight (BW) and weaning weight (WW) records, 3.4 million post-weaning gain (PWG) records, and genotypes for 52k animals. A dataset from 2017 was later used that included 335k genotyped animals. The ability to predict future performance of young animals was investigated when using regular BLUP and ssGBLUP. Because of the increasing number of genotyped animals and the high computing cost to invert the genomic relationship matrix (G), the algorithm for proven and young (APY) was used to approximate the inverse of G. The APY uses recursions on a small subset of genotyped animals, called core. We further tested the feasibility of having daily interim genomic predictions for newly-genotyped animals based on SNP effects derived from the previous official ssGBLUP evaluation. In addition, we extended all models used in traditional evaluations to ssGBLUP, and compared genetic trends from traditional BLUP, ssGBLUP, and a multistep method that was implemented for the American Angus genomic evaluation in 2009. A new algorithm to approximate accuracy of GEBV for large genomic... Presentar Todo |
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Palabras claves : |
Algorithm for proven and young; Angus; Genomic selection; Indirect prediction. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15436/1/Lourenco-et-al-2018-WCGALP.pdf
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Marc : |
LEADER 03286nam a2200253 a 4500
001 1061912
005 2021-03-31
008 2018 bl uuuu u01u1 u #d
100 1 $aLOURENCO, D.
245 $aSingle-step genomic BLUP for national beef cattle evaluation in US$bfrom initial developments to final implementation.$h[electronic resource]
260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018.$c2018
520 $aABSTRACT. The objective of this study was to implement single-step genomic BLUP (ssGBLUP) for national Angus cattle evaluation in the US. National evaluations include a variety of models with several linear and categorical traits, maternal effects, multibreed data, and a large number of genotyped animals. For the initial investigation, we used a dataset from 2014 that comprised over 8 million animals, 6 million birth weight (BW) and weaning weight (WW) records, 3.4 million post-weaning gain (PWG) records, and genotypes for 52k animals. A dataset from 2017 was later used that included 335k genotyped animals. The ability to predict future performance of young animals was investigated when using regular BLUP and ssGBLUP. Because of the increasing number of genotyped animals and the high computing cost to invert the genomic relationship matrix (G), the algorithm for proven and young (APY) was used to approximate the inverse of G. The APY uses recursions on a small subset of genotyped animals, called core. We further tested the feasibility of having daily interim genomic predictions for newly-genotyped animals based on SNP effects derived from the previous official ssGBLUP evaluation. In addition, we extended all models used in traditional evaluations to ssGBLUP, and compared genetic trends from traditional BLUP, ssGBLUP, and a multistep method that was implemented for the American Angus genomic evaluation in 2009. A new algorithm to approximate accuracy of GEBV for large genomic data was also developed. On average, the increase in ability to predict future performance, for BW, WW, and PWG, with ssGBLUP was 25% in the 2014 data and 36% in the 2017 data, compared to the traditional BLUP. The ssGBLUP with APY was as accurate as the regular ssGBLUP when the number of core animals was at least 10,000, independently of which animals were in the core group. Interim predictions derived from ssGBLUP provided accurate genomic values for newly-genotyped animals. Genetic trends for ssGBLUP and BLUP were similar, revealing overestimation in multistep evaluations, especially for traits with less phenotypes. Single-step GBLUP became a reality for American Angus evaluation and its implementation process resulted in successful updates in methodology, making this approach mature for national beef cattle evaluation. Keywords: algorithm for proven and young, Angus, genomic selection, indirect prediction.
653 $aAlgorithm for proven and young
653 $aAngus
653 $aGenomic selection
653 $aIndirect prediction
700 1 $aTSURUTA, S.
700 1 $aFRAGOMENI, B.
700 1 $aMASUDA, Y.
700 1 $aAGUILAR, I.
700 1 $aLEGARRA, A.
700 1 $aMILLER, S.
700 1 $aMOSER, D.
700 1 $aMISZTAL, I.
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Registro original : |
INIA Las Brujas (LB) |
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Biblioteca
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
11/08/2016 |
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Actualizado : |
25/10/2019 |
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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 : |
BERRUETA, C.; GIMÉNEZ, G.; GALVÁN, G.; BORGES, A. |
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Afiliación : |
MARIA CECILIA BERRUETA MOREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO GIMÉNEZ FRANQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUILLERMO GALVÁN, UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA; ALEJANDRA BORGES, UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA. |
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Título : |
New sources of partial resistance to bacterial spot race T2 in processing tomatoes. [Novas fontes de resistência parcial à mancha bacteriana raça T2 de tomate para processamento.] |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
Horticultura Brasileira, 2016, v. 34, no. 3, p.326-332. |
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DOI : |
10.1590/S0102-05362016003004 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received on March 16, 2015 / Accepted on February 10, 2016. |
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Contenido : |
ABSTRACT.
Bacterial leaf spot of tomato is caused by four Xanthomonas species, among which Xanthomonas vesicatoria race T2 predominates in Uruguay. Difficulties in integrated disease management and the rapid spread of the pathogen led to investigations of genetic resistance. This study aimed to identify resistance sources to bacterial leaf spot race T2 in tomato for processing. Twelve genotypes were evaluated under field conditions in 2010 and 2011. Plants were spray-inoculated with a suspension of bacteria (108 cfu/mL) 15 days after transplantation. Incubation period, disease severity on leaves, and the percentage of fruits with symptoms at harvest were determined. The incubation period did not differ among the genotypes. The genotype 'Hawaii 7981' had the lowest leaf severity on the leaves, followed by 'Loica'. The lines (derived from the cultivar 'Loica') LB97, LB99, LB60, and LB76, and the cultivar 'Ohio 8245' showed intermediate levels of severity on leaves, whereas 'H9997', 'Cuyano', LB85, and 'NUN6011' presented higher severities. The differences in disease severity of the leaves were similar over the years, while incidence of symptoms in fruit was more variable. Next to 'Hawaii 7981', the cultivars 'Loica' and 'Ohio 8245' were identified as new sources of partial resistance to bacterial spot race T2.
RESUMO.
A mancha bacteriana do tomateiro é causada por quatro espécies de Xanthomonas, sendo Xanthomonas vesicatoria raça T2 a predominante no Uruguai. O manejo químico e cultural desta doença não tem sido suficiente para o seu controle; portanto, o melhoramento genético para gerar genótipos resistentes é uma estratégia importante que deve ser incluído para contribuir no manejo integrado desta doença. O objetivo do presente trabalho foi identificar fontes de resistência à mancha bacteriana foliar raça T2 do tomateiro para indústria. Doze genótipos foram avaliados no campo em 2010 e 2011. As plantas foram inoculadas com uma suspensão da bactéria (108 cfu/mL) aos 15 dias depois do transplante. O período de incubação, a severidade da doença e a percentagem dos frutos com sintomas foram determinados. Não houve diferença no período de incubação entre os genótipos. O genótipo 'Hawaii 7981' teve o menor valor de severidade nas folhas, seguido da cultivar 'Loica'. As linhagens (derivadas de 'Loica'), LB97, LB99, LB60 e LB76 e a cultivar 'Ohio 8245' tiveram um nível intermédio de severidade nas folhas, ao passo que 'H9997', 'Cuyano', LB85 e 'NUN6011' apresentaram severidades mais altas. As diferenças entre os genótipos no nível de severidade da doença foram consistentes entre os anos, porém, a incidência nos frutos foi mais variável. Junto à 'Hawaii7981', 'Loica' e 'Ohio 8245' foram identificados como novas fontes de resistência parcial à mancha bacteriana raça T2. MenosABSTRACT.
Bacterial leaf spot of tomato is caused by four Xanthomonas species, among which Xanthomonas vesicatoria race T2 predominates in Uruguay. Difficulties in integrated disease management and the rapid spread of the pathogen led to investigations of genetic resistance. This study aimed to identify resistance sources to bacterial leaf spot race T2 in tomato for processing. Twelve genotypes were evaluated under field conditions in 2010 and 2011. Plants were spray-inoculated with a suspension of bacteria (108 cfu/mL) 15 days after transplantation. Incubation period, disease severity on leaves, and the percentage of fruits with symptoms at harvest were determined. The incubation period did not differ among the genotypes. The genotype 'Hawaii 7981' had the lowest leaf severity on the leaves, followed by 'Loica'. The lines (derived from the cultivar 'Loica') LB97, LB99, LB60, and LB76, and the cultivar 'Ohio 8245' showed intermediate levels of severity on leaves, whereas 'H9997', 'Cuyano', LB85, and 'NUN6011' presented higher severities. The differences in disease severity of the leaves were similar over the years, while incidence of symptoms in fruit was more variable. Next to 'Hawaii 7981', the cultivars 'Loica' and 'Ohio 8245' were identified as new sources of partial resistance to bacterial spot race T2.
RESUMO.
A mancha bacteriana do tomateiro é causada por quatro espécies de Xanthomonas, sendo Xanthomonas vesicatoria raça T2 a predominante no Uruguai. O manejo quími... Presentar Todo |
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Palabras claves : |
DURABLE RESISTANCE; QUANTITATIVE RESISTANCE; TOMATO BREEDING; XANTHOMONAS VESICATORIA. |
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Thesagro : |
SOLANUM LYCOPERSICUM; TOMATE. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5858/1/Berrueta-C.-2016.-Hort.Bras..pdf
http://www.scielo.br/pdf/hb/v34n3/1806-9991-hb-34-03-00326.pdf
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Marc : |
LEADER 03774naa a2200253 a 4500
001 1055246
005 2019-10-25
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1590/S0102-05362016003004$2DOI
100 1 $aBERRUETA, C.
245 $aNew sources of partial resistance to bacterial spot race T2 in processing tomatoes. [Novas fontes de resistência parcial à mancha bacteriana raça T2 de tomate para processamento.]$h[electronic resource]
260 $c2016
500 $aArticle history: Received on March 16, 2015 / Accepted on February 10, 2016.
520 $aABSTRACT. Bacterial leaf spot of tomato is caused by four Xanthomonas species, among which Xanthomonas vesicatoria race T2 predominates in Uruguay. Difficulties in integrated disease management and the rapid spread of the pathogen led to investigations of genetic resistance. This study aimed to identify resistance sources to bacterial leaf spot race T2 in tomato for processing. Twelve genotypes were evaluated under field conditions in 2010 and 2011. Plants were spray-inoculated with a suspension of bacteria (108 cfu/mL) 15 days after transplantation. Incubation period, disease severity on leaves, and the percentage of fruits with symptoms at harvest were determined. The incubation period did not differ among the genotypes. The genotype 'Hawaii 7981' had the lowest leaf severity on the leaves, followed by 'Loica'. The lines (derived from the cultivar 'Loica') LB97, LB99, LB60, and LB76, and the cultivar 'Ohio 8245' showed intermediate levels of severity on leaves, whereas 'H9997', 'Cuyano', LB85, and 'NUN6011' presented higher severities. The differences in disease severity of the leaves were similar over the years, while incidence of symptoms in fruit was more variable. Next to 'Hawaii 7981', the cultivars 'Loica' and 'Ohio 8245' were identified as new sources of partial resistance to bacterial spot race T2. RESUMO. A mancha bacteriana do tomateiro é causada por quatro espécies de Xanthomonas, sendo Xanthomonas vesicatoria raça T2 a predominante no Uruguai. O manejo químico e cultural desta doença não tem sido suficiente para o seu controle; portanto, o melhoramento genético para gerar genótipos resistentes é uma estratégia importante que deve ser incluído para contribuir no manejo integrado desta doença. O objetivo do presente trabalho foi identificar fontes de resistência à mancha bacteriana foliar raça T2 do tomateiro para indústria. Doze genótipos foram avaliados no campo em 2010 e 2011. As plantas foram inoculadas com uma suspensão da bactéria (108 cfu/mL) aos 15 dias depois do transplante. O período de incubação, a severidade da doença e a percentagem dos frutos com sintomas foram determinados. Não houve diferença no período de incubação entre os genótipos. O genótipo 'Hawaii 7981' teve o menor valor de severidade nas folhas, seguido da cultivar 'Loica'. As linhagens (derivadas de 'Loica'), LB97, LB99, LB60 e LB76 e a cultivar 'Ohio 8245' tiveram um nível intermédio de severidade nas folhas, ao passo que 'H9997', 'Cuyano', LB85 e 'NUN6011' apresentaram severidades mais altas. As diferenças entre os genótipos no nível de severidade da doença foram consistentes entre os anos, porém, a incidência nos frutos foi mais variável. Junto à 'Hawaii7981', 'Loica' e 'Ohio 8245' foram identificados como novas fontes de resistência parcial à mancha bacteriana raça T2.
650 $aSOLANUM LYCOPERSICUM
650 $aTOMATE
653 $aDURABLE RESISTANCE
653 $aQUANTITATIVE RESISTANCE
653 $aTOMATO BREEDING
653 $aXANTHOMONAS VESICATORIA
700 1 $aGIMÉNEZ, G.
700 1 $aGALVÁN, G.
700 1 $aBORGES, A.
773 $tHorticultura Brasileira, 2016$gv. 34, no. 3, p.326-332.
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