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Registro Completo |
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Biblioteca(s): |
Embrapa Agropecuária Oeste; Embrapa Clima Temperado. |
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Data corrente: |
11/09/2018 |
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Data da última atualização: |
09/01/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
MELO, T. S.; SILVA, L. B. X. da; MARQUES, R. F.; CONCENCO, G. |
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Afiliação: |
THAIS STRADIOTO MELO, MESTRANDA EM AGRONOMIA - UNIVERSIDADE FEDERAL DA GRANDE DOURADOS, DOURADOS; Laryssa Barbosa Xavier da Silva, GRADUANDA EM AGRONOMIA - FACULDADE ANHANGUERA DE DOURADOS, DOURADOS; RODOLPHO FREIRE MARQUES, DOUTORANDO EM AGRONOMIA - UNIVERSIDADE FEDERAL DA GRANDE DOURADOS, DOURADOS; GERMANI CONCENCO, CPACT. |
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Título: |
Efeito alelopático de Crotalaria juncea sobre capim amargoso. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: JORNADA DE INICIAÇÃO À PESQUISA DA EMBRAPA, 2018, Dourados. Resumos... Brasília, DF: Embrapa, 2018. JIPE 2018. |
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ISBN: |
978-85-7035-846-2 |
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Idioma: |
Português |
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Palavras-Chave: |
Capim amargoso; Digitaria insularis; Pirrolizydina; Supressão. |
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Thesagro: |
Alelopatia; Crotalária Juncea; Erva Daninha. |
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Thesaurus Nal: |
Allelopathy; Weeds. |
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Categoria do assunto: |
--
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190121/1/ORAL21.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/182686/1/Germani-Concenco-Thais-Jipe2018-cpao.pdf
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Marc: |
LEADER 00787nam a2200253 a 4500
001 2103464
005 2019-01-09
008 2018 bl uuuu u00u1 u #d
020 $a978-85-7035-846-2
100 1 $aMELO, T. S.
245 $aEfeito alelopático de Crotalaria juncea sobre capim amargoso.$h[electronic resource]
260 $aIn: JORNADA DE INICIAÇÃO À PESQUISA DA EMBRAPA, 2018, Dourados. Resumos... Brasília, DF: Embrapa, 2018. JIPE 2018.$c2018
650 $aAllelopathy
650 $aWeeds
650 $aAlelopatia
650 $aCrotalária Juncea
650 $aErva Daninha
653 $aCapim amargoso
653 $aDigitaria insularis
653 $aPirrolizydina
653 $aSupressão
700 1 $aSILVA, L. B. X. da
700 1 $aMARQUES, R. F.
700 1 $aCONCENCO, G.
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Registro original: |
Embrapa Agropecuária Oeste (CPAO) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pesca e Aquicultura. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
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Data corrente: |
19/04/2018 |
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Data da última atualização: |
19/02/2019 |
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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: |
SHIOTSUKI, L.; CARDOSO, F. F.; ALBUQUERQUE, L. G. |
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Afiliação: |
LUCIANA SHIOTSUKI, CNPASA; FERNANDO FLORES CARDOSO, CPPSUL; L. G. ALBUQUERQUE, UNESP, Jaboticabal-SP. |
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Título: |
Method for the estimation of genetic merit of animals with uncertain paternity under Bayesian inference. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Journal of Animal Breeding and Genetics, v. 135, n. 2, p. 116-123, 2018. |
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ISSN: |
0931-2668 |
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DOI: |
10.1111/jbg.12322 |
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Idioma: |
Inglês |
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Conteúdo: |
The use of controlled mating or artificial insemination is impracticable in the case of large herds, mainly because of labour costs and the need to delimit areas during the breeding period. However, the exclusion of information from animals with uncertain paternity reduces genetic progress. The objectives of this study were as follows: (i) propose an iterative empirical Bayesian procedure to implement the hierarchical animal model (ITER); (ii) calculate the posterior probabilities of paternity by the maximum likelihood method following the concepts; (iii) compare an average numerator relationship matrix (ANRM), Bayesian hierarchical (HIER) models and ITER. Records of Nellore animals born between 1984 and 2006 from the zootechnical archive of Agropecuaria Jacarezinho Ltda were used. For data consistency, records of contemporary groups (CGs) with fewer than three animals and animals whose records were 3.5 standard deviations above or below the mean of their CG were eliminated. After editing the data, 62,212 animals in the file and 12,876 animals in pedigree file were maintained, respectively. Spearman and Pearson correlations between the posterior mean of the genetic effects of animals were calculated to compare the ranking of animals for selection. Simulated data were used to confirm the veracity of the model. The correlations between ITER and HIER and between ITER and ANRM were similar evaluating different files, which decreased at the same proportion when only high-ranked animals were evaluated. In conclusion, the model proposed herein is a suitable computational alternative to improve the prediction of breeding values of animals in genetic evaluations using large databases, including animals with uncertain paternity. MenosThe use of controlled mating or artificial insemination is impracticable in the case of large herds, mainly because of labour costs and the need to delimit areas during the breeding period. However, the exclusion of information from animals with uncertain paternity reduces genetic progress. The objectives of this study were as follows: (i) propose an iterative empirical Bayesian procedure to implement the hierarchical animal model (ITER); (ii) calculate the posterior probabilities of paternity by the maximum likelihood method following the concepts; (iii) compare an average numerator relationship matrix (ANRM), Bayesian hierarchical (HIER) models and ITER. Records of Nellore animals born between 1984 and 2006 from the zootechnical archive of Agropecuaria Jacarezinho Ltda were used. For data consistency, records of contemporary groups (CGs) with fewer than three animals and animals whose records were 3.5 standard deviations above or below the mean of their CG were eliminated. After editing the data, 62,212 animals in the file and 12,876 animals in pedigree file were maintained, respectively. Spearman and Pearson correlations between the posterior mean of the genetic effects of animals were calculated to compare the ranking of animals for selection. Simulated data were used to confirm the veracity of the model. The correlations between ITER and HIER and between ITER and ANRM were similar evaluating different files, which decreased at the same proportion when only high-ranked a... Mostrar Tudo |
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Palavras-Chave: |
Mérito genético; Multiple-sire mating; Uncertain paternity. |
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Thesagro: |
Animal. |
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Thesaurus NAL: |
Animals; Bayesian theory; Genetic merit; Uncertainty. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02546naa a2200265 a 4500
001 2090735
005 2019-02-19
008 2018 bl uuuu u00u1 u #d
022 $a0931-2668
024 7 $a10.1111/jbg.12322$2DOI
100 1 $aSHIOTSUKI, L.
245 $aMethod for the estimation of genetic merit of animals with uncertain paternity under Bayesian inference.$h[electronic resource]
260 $c2018
520 $aThe use of controlled mating or artificial insemination is impracticable in the case of large herds, mainly because of labour costs and the need to delimit areas during the breeding period. However, the exclusion of information from animals with uncertain paternity reduces genetic progress. The objectives of this study were as follows: (i) propose an iterative empirical Bayesian procedure to implement the hierarchical animal model (ITER); (ii) calculate the posterior probabilities of paternity by the maximum likelihood method following the concepts; (iii) compare an average numerator relationship matrix (ANRM), Bayesian hierarchical (HIER) models and ITER. Records of Nellore animals born between 1984 and 2006 from the zootechnical archive of Agropecuaria Jacarezinho Ltda were used. For data consistency, records of contemporary groups (CGs) with fewer than three animals and animals whose records were 3.5 standard deviations above or below the mean of their CG were eliminated. After editing the data, 62,212 animals in the file and 12,876 animals in pedigree file were maintained, respectively. Spearman and Pearson correlations between the posterior mean of the genetic effects of animals were calculated to compare the ranking of animals for selection. Simulated data were used to confirm the veracity of the model. The correlations between ITER and HIER and between ITER and ANRM were similar evaluating different files, which decreased at the same proportion when only high-ranked animals were evaluated. In conclusion, the model proposed herein is a suitable computational alternative to improve the prediction of breeding values of animals in genetic evaluations using large databases, including animals with uncertain paternity.
650 $aAnimals
650 $aBayesian theory
650 $aGenetic merit
650 $aUncertainty
650 $aAnimal
653 $aMérito genético
653 $aMultiple-sire mating
653 $aUncertain paternity
700 1 $aCARDOSO, F. F.
700 1 $aALBUQUERQUE, L. G.
773 $tJournal of Animal Breeding and Genetics$gv. 135, n. 2, p. 116-123, 2018.
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Registro original: |
Embrapa Pesca e Aquicultura (CNPASA) |
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