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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
27/12/2022 |
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Data da última atualização: |
23/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
AONO, A. H.; FERREIRA, R. C. U.; MORAES, A. da C. L.; LARA, L. A. de C.; PIMENTA, R. J. G.; COSTA, E. A.; PINTO, L. R.; LANDELL, M. G. de A.; SANTOS, M. F.; JANK, L.; BARRIOS, S. C. L.; VALLE, C. B.; CHIARI, L.; GARCIA, A. A. F.; KUROSHU, R. M.; LORENA, A. C.; GORJANC, G.; SOUZA, A. P. de. |
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Afiliação: |
ALEXANDRE HILD AONO, UNIVERSIDADE DE CAMPINAS, UNIVERSITY OF EDINBURGH; REBECCA CAROLINE ULBRICHT FERREIRA, UNIVERSDIDADE DE CAMPINAS; ALINE DA COSTA LIMA MORAES, UNIVERSIDADE DE CAMPINAS; LETÍCIA APARECIDA DE CASTRO LARA, ESCOLA SUPERIOR DE AGRICULTURA "LUIZ DE QUEIROZ"; RICARDO JOSÉ GONZAGA PIMENTA, UNIVERSIDADE DE CAMPINAS; ESTELAARAUJO COSTA, UNIVEDRSIDADE FEDERAL DE SÃO PAULO; LUCIANA ROSSINI PINTO, INSTITUTO AGRONÔMICO DE CAMPINAS; MARCOS GUIMARÃES DE ANDRADE LANDELL, INSTITUTO AGRONÔMICO DE CAMPINAS; MATEUS FIGUEIREDO SANTOS, CNPGC; LIANA JANK, CNPGC; SANZIO CARVALHO LIMA BARRIOS, CNPGC; CACILDA BORGES DO VALLE, CNPGC; LUCIMARA CHIARI, CNPGC; ANTONIO AUGUSTO FRANCO GARCIA, ESCOLA SUPERIOR DE AGRICULTURA "LUIZ DE QUEIROZ"; REGINALDO MASSANOBU KUROSHU, UNIVERSIDADE FERDERAL DE SÃO PAULO; ANA CAROLINA LORENA, INSTITUTO TECNOLÓGICO DE AERONÁUTICA; GREGOR GORJANC, UNIVERSITY OF EDINBURGH; ANETE PEREIRA DE SOUZA, UNIVERSIDADE DE CAMPINAS. |
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Título: |
A joint learning approach for genomic prediction in polyploid grasses. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Scientific Reports, 12, article 12499, 2022. |
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Páginas: |
17 p. |
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ISSN: |
2045-2322 |
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DOI: |
https://doi.org/10.1038/s41598-022-16417-7 |
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Idioma: |
Inglês |
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Conteúdo: |
Poaceae, among the most abundant plant families, includes many economically important polyploid species, such as forage grasses and sugarcane (Saccharum spp.). These species have elevated genomic complexities and limited genetic resources, hindering the application of marker-assisted selection strategies. Currently, the most promising approach for increasing genetic gains in plant breeding is genomic selection. However, due to the polyploidy nature of these polyploid species, more accurate models for incorporating genomic selection into breeding schemes are needed. This study aims to develop a machine learning method by using a joint learning approach to predict complex traits from genotypic data. Biparental populations of sugarcane and two species of forage grasses (Urochloa decumbens, Megathyrsus maximus) were genotyped, and several quantitative traits were measured. High-quality markers were used to predict several traits in diferent cross-validation scenarios. By combining classifcation and regression strategies, we developed a predictive system with promising results. Compared with traditional genomic prediction methods, the proposed strategy achieved accuracy improvements exceeding 50%. Our results suggest that the developed methodology could be implemented in breeding programs, helping reduce breeding cycles and increase genetic gains. |
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Thesagro: |
Cana de Açúcar; Gramínea Forrageira; Recurso Genético. |
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Thesaurus Nal: |
Forage grasses; Genetic resources; Plant breeding; Poaceae; Polyploidy; Saccharum; Sugarcane. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1150365/1/Joint-learning-approach-genomic-2022.pdf
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Marc: |
LEADER 02671naa a2200481 a 4500
001 2150365
005 2023-01-23
008 2022 bl uuuu u00u1 u #d
022 $a2045-2322
024 7 $ahttps://doi.org/10.1038/s41598-022-16417-7$2DOI
100 1 $aAONO, A. H.
245 $aA joint learning approach for genomic prediction in polyploid grasses.$h[electronic resource]
260 $c2022
300 $a17 p.
520 $aPoaceae, among the most abundant plant families, includes many economically important polyploid species, such as forage grasses and sugarcane (Saccharum spp.). These species have elevated genomic complexities and limited genetic resources, hindering the application of marker-assisted selection strategies. Currently, the most promising approach for increasing genetic gains in plant breeding is genomic selection. However, due to the polyploidy nature of these polyploid species, more accurate models for incorporating genomic selection into breeding schemes are needed. This study aims to develop a machine learning method by using a joint learning approach to predict complex traits from genotypic data. Biparental populations of sugarcane and two species of forage grasses (Urochloa decumbens, Megathyrsus maximus) were genotyped, and several quantitative traits were measured. High-quality markers were used to predict several traits in diferent cross-validation scenarios. By combining classifcation and regression strategies, we developed a predictive system with promising results. Compared with traditional genomic prediction methods, the proposed strategy achieved accuracy improvements exceeding 50%. Our results suggest that the developed methodology could be implemented in breeding programs, helping reduce breeding cycles and increase genetic gains.
650 $aForage grasses
650 $aGenetic resources
650 $aPlant breeding
650 $aPoaceae
650 $aPolyploidy
650 $aSaccharum
650 $aSugarcane
650 $aCana de Açúcar
650 $aGramínea Forrageira
650 $aRecurso Genético
700 1 $aFERREIRA, R. C. U.
700 1 $aMORAES, A. da C. L.
700 1 $aLARA, L. A. de C.
700 1 $aPIMENTA, R. J. G.
700 1 $aCOSTA, E. A.
700 1 $aPINTO, L. R.
700 1 $aLANDELL, M. G. de A.
700 1 $aSANTOS, M. F.
700 1 $aJANK, L.
700 1 $aBARRIOS, S. C. L.
700 1 $aVALLE, C. B.
700 1 $aCHIARI, L.
700 1 $aGARCIA, A. A. F.
700 1 $aKUROSHU, R. M.
700 1 $aLORENA, A. C.
700 1 $aGORJANC, G.
700 1 $aSOUZA, A. P. de
773 $tScientific Reports, 12, article 12499, 2022.
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
08/07/2005 |
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Data da última atualização: |
31/05/2007 |
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Autoria: |
DIABATE, M.; MUNIVE, A.; FARIA, S. M. de; BA, A.; DREYFUS, B.; GALIANA, A. |
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Título: |
Occurrence of nodulation in unexplored leguminous trees native to the West African tropical rainforest and incolation response of native species useful in reforestation. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
New Phytologist, Oxford, v. 166, p. 231-239, 2005. |
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Idioma: |
Inglês |
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Conteúdo: |
· Despite the abundance and diversity of timber tree legumes in the west African rainforest, their ability to form nitrogen-fixing nodules in sybiosis with rhizobia, and their response to rhizobial inoculation, remain poorly documented.
· In the first part of this study the occurrence of nodulation was determined in 156 leguminous species growing in six natural forest areas in Guinea, mostly mature trees. In the second part, an in situ experiment of rhizobial inoculation was performed on eightselected tree species belonging to three genera: Albizia Erythrophleum Millettia.
· Of the 97 plant species and 14 generathat had never een examined before this study, 31 species and our genera were reported to be nodulted. After 4 months of growing ina nursery and a futher 11 months after transplantationof plants to the field, we observed a highly significant (P < 0.001) and positive effect of inoculation with Bradyrhizobium sp. strains on the growth of the eight, tree species tested.
· The importance of determining the nodulation ability of nexplored local trees and subsequently using this information for inoculation in reforestation programmes was demostrated.
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Palavras-Chave: |
Inoculation. |
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Thesagro: |
Árvore; Inoculação; Nodulação. |
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Thesaurus NAL: |
nodulation; trees. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01915naa a2200253 a 4500
001 1628247
005 2007-05-31
008 2005 bl --- 0-- u #d
100 1 $aDIABATE, M.
245 $aOccurrence of nodulation in unexplored leguminous trees native to the West African tropical rainforest and incolation response of native species useful in reforestation.
260 $c2005
520 $a· Despite the abundance and diversity of timber tree legumes in the west African rainforest, their ability to form nitrogen-fixing nodules in sybiosis with rhizobia, and their response to rhizobial inoculation, remain poorly documented. · In the first part of this study the occurrence of nodulation was determined in 156 leguminous species growing in six natural forest areas in Guinea, mostly mature trees. In the second part, an in situ experiment of rhizobial inoculation was performed on eightselected tree species belonging to three genera: Albizia Erythrophleum Millettia. · Of the 97 plant species and 14 generathat had never een examined before this study, 31 species and our genera were reported to be nodulted. After 4 months of growing ina nursery and a futher 11 months after transplantationof plants to the field, we observed a highly significant (P < 0.001) and positive effect of inoculation with Bradyrhizobium sp. strains on the growth of the eight, tree species tested. · The importance of determining the nodulation ability of nexplored local trees and subsequently using this information for inoculation in reforestation programmes was demostrated.
650 $anodulation
650 $atrees
650 $aÁrvore
650 $aInoculação
650 $aNodulação
653 $aInoculation
700 1 $aMUNIVE, A.
700 1 $aFARIA, S. M. de
700 1 $aBA, A.
700 1 $aDREYFUS, B.
700 1 $aGALIANA, A.
773 $tNew Phytologist, Oxford$gv. 166, p. 231-239, 2005.
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Embrapa Agrobiologia (CNPAB) |
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