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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
08/12/1994 |
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Data da última atualização: |
22/03/2007 |
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Autoria: |
CARAUTA, J. P. P. |
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Título: |
Catálogo dos gêneros de Ulmaceae do Brasil. |
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Ano de publicação: |
1968 |
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Fonte/Imprenta: |
Sellowia, Itajaí, v. 20 , n. 20, p. 27-29, 1968. |
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ISSN: |
0375-1651 |
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Idioma: |
Português |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00331naa a2200121 a 4500
001 1286701
005 2007-03-22
008 1968 bl uuuu u00u1 u #d
022 $a0375-1651
100 1 $aCARAUTA, J. P. P.
245 $aCatálogo dos gêneros de Ulmaceae do Brasil.
260 $c1968
773 $tSellowia, Itajaí$gv. 20 , n. 20, p. 27-29, 1968.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
02/07/2021 |
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Data da última atualização: |
29/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CARDOSO, F. F.; MATIKA, O.; DJIKENG, A.; MAPHOLI, N.; BURROW, H. M.; YOKOO, M. J. I.; CAMPOS, G. S.; GULIAS GOMES, C. C.; RIGGIO, V.; PONG-WONG, R.; ENGLE, B.; PORTO-NETO, L.; MAIWASHE, A.; HAYES, B. J. |
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Afiliação: |
FERNANDO FLORES CARDOSO, CPPSUL; OSWALD MATIKA, UNIVERSITY OF EDINBURGH; APPOLINAIRE DJIKENG, UNIVERSITY OF EDINBURGH; NTANGANEDZENI MAPHOLI, UNIVERSITY OF SOUTH AFRICA; HEATHER M. BURROW, UNIVERSITY OF NEW ENGLAND; MARCOS JUN ITI YOKOO, CPPSUL; GABRIEL SOARES CAMPOS; CLAUDIA CRISTINA GULIAS GOMES, CPPSUL; VALENTINA RIGGIO, UNIVERSITY OF EDINBURGH; RICARDO PONG-WONG, UNIVERSITY OF EDINBURGH; BAILEY ENGLE, UNIVERSITY OF NEW ENGLAND; LAERCIO PORTO-NETO, CSIRO; AZWIHANGWISI MAIWASHE, AGRICULTURAL RESEARCH COUNCIL; BEN J. HAYES, UNIVERSITY OF QUEENSLAND. |
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Título: |
Multiple country and breed genomic prediction of tick resistance in beef cattle. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Frontiers in Immunology, v. 12, 620847, June 2021. |
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DOI: |
10.3389/fimmu.2021.620847 |
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Idioma: |
Inglês |
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Conteúdo: |
Ticks cause substantial production losses for beef and dairy cattle. Cattle resistance to ticks is one of the most important factors affecting tick control, but largely neglected due to the challenge of phenotyping. In this study, we evaluate the pooling of tick resistance phenotyped reference populations from multi-country beef cattle breeds to assess the possibility of improving host resistance through multi-trait genomic selection. Data consisted of tick counts or scores assessing the number of female ticks at least 4.5 mm length and derived from seven populations, with breed, country, number of records and genotyped/phenotyped animals being respectively: Angus (AN), Brazil, 2,263, 921/1,156, Hereford (HH), Brazil, 6,615, 1,910/2,802, Brangus (BN), Brazil, 2,441, 851/851, Braford (BO), Brazil, 9,523, 3,062/4,095, Tropical Composite (TC), Australia, 229, 229/229, Brahman (BR), Australia, 675, 675/675, and Nguni (NG), South Africa, 490, 490/490. All populations were genotyped using medium density Illumina SNP BeadChips and imputed to a common high-density panel of 332,468 markers. The mean linkage disequilibrium (LD) between adjacent SNPs varied from 0.24 to 0.37 across populations and so was sufficient to allow genomic breeding values (GEBV) prediction. Correlations of LD phase between breeds were higher between composites and their founder breeds (0.81 to 0.95) and lower between NG and the other breeds (0.27 and 0.35). There was wide range of estimated heritability (0.05 and 0.42) and genetic correlation (-0.01 and 0.87) for tick resistance across the studied populations, with the largest genetic correlation observed between BN and BO. Predictive ability was improved under the old-young validation for three of the seven populations using a multi-trait approach compared to a single trait within-population prediction, while whole and partial data GEBV correlations increased in all cases, with relative improvements ranging from 3% for BO to 64% for TC. Moreover, the multi-trait analysiswas useful to correct typical over-dispersion of the GEBV. Results from this study indicate that a joint genomic evaluation of AN, HH, BN, BO and BR can be readily implemented to improve tick resistance of these populations using selection on GEBV. For NG and TC additional phenotyping will be required to obtain accurate GEBV. Keywords: beef cattle, genomic selection, ticks, tropical adaptation, host resistance MenosTicks cause substantial production losses for beef and dairy cattle. Cattle resistance to ticks is one of the most important factors affecting tick control, but largely neglected due to the challenge of phenotyping. In this study, we evaluate the pooling of tick resistance phenotyped reference populations from multi-country beef cattle breeds to assess the possibility of improving host resistance through multi-trait genomic selection. Data consisted of tick counts or scores assessing the number of female ticks at least 4.5 mm length and derived from seven populations, with breed, country, number of records and genotyped/phenotyped animals being respectively: Angus (AN), Brazil, 2,263, 921/1,156, Hereford (HH), Brazil, 6,615, 1,910/2,802, Brangus (BN), Brazil, 2,441, 851/851, Braford (BO), Brazil, 9,523, 3,062/4,095, Tropical Composite (TC), Australia, 229, 229/229, Brahman (BR), Australia, 675, 675/675, and Nguni (NG), South Africa, 490, 490/490. All populations were genotyped using medium density Illumina SNP BeadChips and imputed to a common high-density panel of 332,468 markers. The mean linkage disequilibrium (LD) between adjacent SNPs varied from 0.24 to 0.37 across populations and so was sufficient to allow genomic breeding values (GEBV) prediction. Correlations of LD phase between breeds were higher between composites and their founder breeds (0.81 to 0.95) and lower between NG and the other breeds (0.27 and 0.35). There was wide range of estimated heritability (0.05 ... Mostrar Tudo |
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Thesagro: |
Carrapato; Gado de Corte; Genoma; Seleção. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224266/1/Cardoso-FF-et-al-2021-Front.-Immunol.-12-620847.pdf
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Marc: |
LEADER 03347naa a2200337 a 4500
001 2132754
005 2024-04-29
008 2021 bl uuuu u00u1 u #d
024 7 $a10.3389/fimmu.2021.620847$2DOI
100 1 $aCARDOSO, F. F.
245 $aMultiple country and breed genomic prediction of tick resistance in beef cattle.$h[electronic resource]
260 $c2021
520 $aTicks cause substantial production losses for beef and dairy cattle. Cattle resistance to ticks is one of the most important factors affecting tick control, but largely neglected due to the challenge of phenotyping. In this study, we evaluate the pooling of tick resistance phenotyped reference populations from multi-country beef cattle breeds to assess the possibility of improving host resistance through multi-trait genomic selection. Data consisted of tick counts or scores assessing the number of female ticks at least 4.5 mm length and derived from seven populations, with breed, country, number of records and genotyped/phenotyped animals being respectively: Angus (AN), Brazil, 2,263, 921/1,156, Hereford (HH), Brazil, 6,615, 1,910/2,802, Brangus (BN), Brazil, 2,441, 851/851, Braford (BO), Brazil, 9,523, 3,062/4,095, Tropical Composite (TC), Australia, 229, 229/229, Brahman (BR), Australia, 675, 675/675, and Nguni (NG), South Africa, 490, 490/490. All populations were genotyped using medium density Illumina SNP BeadChips and imputed to a common high-density panel of 332,468 markers. The mean linkage disequilibrium (LD) between adjacent SNPs varied from 0.24 to 0.37 across populations and so was sufficient to allow genomic breeding values (GEBV) prediction. Correlations of LD phase between breeds were higher between composites and their founder breeds (0.81 to 0.95) and lower between NG and the other breeds (0.27 and 0.35). There was wide range of estimated heritability (0.05 and 0.42) and genetic correlation (-0.01 and 0.87) for tick resistance across the studied populations, with the largest genetic correlation observed between BN and BO. Predictive ability was improved under the old-young validation for three of the seven populations using a multi-trait approach compared to a single trait within-population prediction, while whole and partial data GEBV correlations increased in all cases, with relative improvements ranging from 3% for BO to 64% for TC. Moreover, the multi-trait analysiswas useful to correct typical over-dispersion of the GEBV. Results from this study indicate that a joint genomic evaluation of AN, HH, BN, BO and BR can be readily implemented to improve tick resistance of these populations using selection on GEBV. For NG and TC additional phenotyping will be required to obtain accurate GEBV. Keywords: beef cattle, genomic selection, ticks, tropical adaptation, host resistance
650 $aCarrapato
650 $aGado de Corte
650 $aGenoma
650 $aSeleção
700 1 $aMATIKA, O.
700 1 $aDJIKENG, A.
700 1 $aMAPHOLI, N.
700 1 $aBURROW, H. M.
700 1 $aYOKOO, M. J. I.
700 1 $aCAMPOS, G. S.
700 1 $aGULIAS GOMES, C. C.
700 1 $aRIGGIO, V.
700 1 $aPONG-WONG, R.
700 1 $aENGLE, B.
700 1 $aPORTO-NETO, L.
700 1 $aMAIWASHE, A.
700 1 $aHAYES, B. J.
773 $tFrontiers in Immunology$gv. 12, 620847, June 2021.
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