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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
14/07/2020 |
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Data da última atualização: |
14/07/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CARVALHO, H. F.; GALLI, G.; FERRÃO, L. F. V.; NONATO, J. V. A.; PADILHA, L.; MALUF, M. P.; RESENDE JR, M. F. R. de; GUERREIRO FILHO, O.; FRITSCHE-NETO, R. |
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Afiliação: |
HUMBERTO FANELLI CARVALHO, INSTITUTO AGRONÔMICO DE CAMPINAS - IAC; GIOVANNI GALLI, UNIVERSIDADE DE SÃO PAULO; LUÍS FELIPE VENTORIM FERRÃO, UNIVERSITY OF FLORIDA; JULIANA VIEIRA ALMEIDA NONATO, INSTITUTO AGRONÔMICO DE CAMPINAS - IAC; LILIAN PADILHA, CNPCa; MIRIAN PEREZ MALUF, CNPCa; MÁRCIO FERNANDO RIBEIRO DE RESENDE JR, UNIVERSITY OF FLORIDA; OLIVEIRO GUERREIRO FILHO, INSTITUTO AGRONÔMICO DE CAMPINAS - IAC; ROBERTO FRITSCHE-NETO, UNIVERSIDADE DE SÃO PAULO. |
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Título: |
The effect of bienniality on genomic prediction of yield in arabica coffee. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Euphytica, v. 216, n. 101, p. 100-111, 2020. |
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DOI: |
https://doi.org/10.1007/s10681-020-02641-7 |
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Idioma: |
Inglês |
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Conteúdo: |
The most popular beverage worldwide, coffee, is responsible for a billionaire market chain with arabica coffee leading the production. Coffee breeding programs are focusing on high yield, excellent beverage quality, and disease resistance, but the bienniality comes to a challenge to overcome bean production. The bienniality, the seasonal variation between high and low yielding, is a genetically controlled physiological event that affects yield stability in arabica coffee. However, there are no studies on the best strategies to implement genomic selection in coffee, including how to establish training populations and deal with the biennially. Thus, the objective was evaluated the potential of genomic selection applied to arabica coffee, with particular consideration on how to estimate bienniality effect on genomic prediction accuracy for yield. The population (n = 586) high-density genotyped by GBS was measured in the low (2005 and 2007), and high (2006 and 2008) yield years. The genomic prediction models were established considering genotype and genotype × year effects. Different prediction scenarios were proposed, considering single-year training sets and grouping the data according to bienniality. Overall, training genomic models on biennium of successive years, and predicting the following biennium appears to be the most effective strategy between all tested scenarios. The comparison of phenotypic and prediction approaches revealed an increased selection response using genomic selection, mainly due to the reduced time per breeding cycle. These results can shed light on the implementation of a genome-based selection of arabica coffee and lead to more efficient breeding strategies. MenosThe most popular beverage worldwide, coffee, is responsible for a billionaire market chain with arabica coffee leading the production. Coffee breeding programs are focusing on high yield, excellent beverage quality, and disease resistance, but the bienniality comes to a challenge to overcome bean production. The bienniality, the seasonal variation between high and low yielding, is a genetically controlled physiological event that affects yield stability in arabica coffee. However, there are no studies on the best strategies to implement genomic selection in coffee, including how to establish training populations and deal with the biennially. Thus, the objective was evaluated the potential of genomic selection applied to arabica coffee, with particular consideration on how to estimate bienniality effect on genomic prediction accuracy for yield. The population (n = 586) high-density genotyped by GBS was measured in the low (2005 and 2007), and high (2006 and 2008) yield years. The genomic prediction models were established considering genotype and genotype × year effects. Different prediction scenarios were proposed, considering single-year training sets and grouping the data according to bienniality. Overall, training genomic models on biennium of successive years, and predicting the following biennium appears to be the most effective strategy between all tested scenarios. The comparison of phenotypic and prediction approaches revealed an increased sel... Mostrar Tudo |
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Palavras-Chave: |
Sequenciamento genético. |
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Thesagro: |
Coffea Arábica; Genoma; Seleção Genética. |
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Thesaurus Nal: |
Genome; Plant selection guides. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02622naa a2200301 a 4500
001 2123829
005 2020-07-14
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10681-020-02641-7$2DOI
100 1 $aCARVALHO, H. F.
245 $aThe effect of bienniality on genomic prediction of yield in arabica coffee.$h[electronic resource]
260 $c2020
520 $aThe most popular beverage worldwide, coffee, is responsible for a billionaire market chain with arabica coffee leading the production. Coffee breeding programs are focusing on high yield, excellent beverage quality, and disease resistance, but the bienniality comes to a challenge to overcome bean production. The bienniality, the seasonal variation between high and low yielding, is a genetically controlled physiological event that affects yield stability in arabica coffee. However, there are no studies on the best strategies to implement genomic selection in coffee, including how to establish training populations and deal with the biennially. Thus, the objective was evaluated the potential of genomic selection applied to arabica coffee, with particular consideration on how to estimate bienniality effect on genomic prediction accuracy for yield. The population (n = 586) high-density genotyped by GBS was measured in the low (2005 and 2007), and high (2006 and 2008) yield years. The genomic prediction models were established considering genotype and genotype × year effects. Different prediction scenarios were proposed, considering single-year training sets and grouping the data according to bienniality. Overall, training genomic models on biennium of successive years, and predicting the following biennium appears to be the most effective strategy between all tested scenarios. The comparison of phenotypic and prediction approaches revealed an increased selection response using genomic selection, mainly due to the reduced time per breeding cycle. These results can shed light on the implementation of a genome-based selection of arabica coffee and lead to more efficient breeding strategies.
650 $aGenome
650 $aPlant selection guides
650 $aCoffea Arábica
650 $aGenoma
650 $aSeleção Genética
653 $aSequenciamento genético
700 1 $aGALLI, G.
700 1 $aFERRÃO, L. F. V.
700 1 $aNONATO, J. V. A.
700 1 $aPADILHA, L.
700 1 $aMALUF, M. P.
700 1 $aRESENDE JR, M. F. R. de
700 1 $aGUERREIRO FILHO, O.
700 1 $aFRITSCHE-NETO, R.
773 $tEuphytica$gv. 216, n. 101, p. 100-111, 2020.
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Registro original: |
Embrapa Café (CNPCa) |
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Origem |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
17/10/2008 |
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Data da última atualização: |
15/04/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
WREGE, M. S.; HIGA, R. C. V.; BRITEZ, R. M.; SOUSA, V. A. de; CARAMORI, P. H.; BRAGA, H. J.; RADIN, B. |
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Afiliação: |
Marcos Silveira Wrege, Embrapa Florestas; Rosana Clara Victoria Higa, Embrapa Florestas; Ricardo Miranda Britez, SPVS; Valderês Aparecida de Sousa, Embrapa Florestas; Paulo Henrique Caramori, IAPAR; Hugo José Braga, EPAGRI/CIRAM; Bernadete Radin, FEPAGRO. |
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Título: |
Climate change and Araucaria angustifolia Bert. O. Ktze conservation strategy. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: IUFRO INTERNATIONAL CONFERENCE ON ADAPTATION OF FORESTS AND FOREST MANAGEMENT TO CHANGING CLIMATE WITH EMPHASIS ON FOREST HEALTH: A REVIEW OF SCIENCE, POLICIES AND PRACTICES, 2008, Umea. Book of abstracts and preliminary programme. [S.l.]: SLU: FAO: IUFRO, 2008. p. 231. |
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Idioma: |
Inglês |
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Conteúdo: |
Araucaria angustifolia, known as Parana pine, sets the boundary of the Ombrophylous Mixed Forest. Natural occurrence is above 500 m on the Brazilian Southern tableland and it has been related to climatic fluctuation during the Quaternary. The species was intensively exploited for timber use and due to the expansion of the area for agricultural use. The bioma conservation status is considered critical and only a restricted area is left on an advanced successional stage. The majority of the remaining area is under considerable pressure because it is located on the most populated areas. Besides human pressure, the species is also threatened by recent global climate change. It is a threat to some protected sites that can be decimated in a nearby future. The aim of this work is to point out areas threatened by climate change to support araucaria conservation programs. Using 30 years climatic series with multiple linear regression maps were drawn with 1.C, 2.C and 3.C temperature increased over the natural distribution map. Latitude, longitude and elevation were use as independent variables to establish temperature suitable zones. These are preliminary results and show a significant decrease on what is nowadays favorable for the species development. With an increase of 3.C in temperature, the favourable area will be confined to a small part of the highest part of Southern Tableland. More climate variables will be used to improve maps future limits and to give priority for germplasm collection and conservation. MenosAraucaria angustifolia, known as Parana pine, sets the boundary of the Ombrophylous Mixed Forest. Natural occurrence is above 500 m on the Brazilian Southern tableland and it has been related to climatic fluctuation during the Quaternary. The species was intensively exploited for timber use and due to the expansion of the area for agricultural use. The bioma conservation status is considered critical and only a restricted area is left on an advanced successional stage. The majority of the remaining area is under considerable pressure because it is located on the most populated areas. Besides human pressure, the species is also threatened by recent global climate change. It is a threat to some protected sites that can be decimated in a nearby future. The aim of this work is to point out areas threatened by climate change to support araucaria conservation programs. Using 30 years climatic series with multiple linear regression maps were drawn with 1.C, 2.C and 3.C temperature increased over the natural distribution map. Latitude, longitude and elevation were use as independent variables to establish temperature suitable zones. These are preliminary results and show a significant decrease on what is nowadays favorable for the species development. With an increase of 3.C in temperature, the favourable area will be confined to a small part of the highest part of Southern Tableland. More climate variables will be used to improve maps future limits and to give priority for germplas... Mostrar Tudo |
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Palavras-Chave: |
Atlantic rain forest; Conservation; Floresta Ombrófila Mista. |
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Thesagro: |
Conservação; Mudança Climática. |
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Thesaurus NAL: |
climate change. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/195861/1/2008-RAC-Wrege-ICAFFM-Climate.pdf
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Marc: |
LEADER 02497nam a2200253 a 4500
001 1315149
005 2019-04-15
008 2008 bl uuuu u00u1 u #d
100 1 $aWREGE, M. S.
245 $aClimate change and Araucaria angustifolia Bert. O. Ktze conservation strategy.$h[electronic resource]
260 $aIn: IUFRO INTERNATIONAL CONFERENCE ON ADAPTATION OF FORESTS AND FOREST MANAGEMENT TO CHANGING CLIMATE WITH EMPHASIS ON FOREST HEALTH: A REVIEW OF SCIENCE, POLICIES AND PRACTICES, 2008, Umea. Book of abstracts and preliminary programme. [S.l.]: SLU: FAO: IUFRO, 2008. p. 231.$c2008
520 $aAraucaria angustifolia, known as Parana pine, sets the boundary of the Ombrophylous Mixed Forest. Natural occurrence is above 500 m on the Brazilian Southern tableland and it has been related to climatic fluctuation during the Quaternary. The species was intensively exploited for timber use and due to the expansion of the area for agricultural use. The bioma conservation status is considered critical and only a restricted area is left on an advanced successional stage. The majority of the remaining area is under considerable pressure because it is located on the most populated areas. Besides human pressure, the species is also threatened by recent global climate change. It is a threat to some protected sites that can be decimated in a nearby future. The aim of this work is to point out areas threatened by climate change to support araucaria conservation programs. Using 30 years climatic series with multiple linear regression maps were drawn with 1.C, 2.C and 3.C temperature increased over the natural distribution map. Latitude, longitude and elevation were use as independent variables to establish temperature suitable zones. These are preliminary results and show a significant decrease on what is nowadays favorable for the species development. With an increase of 3.C in temperature, the favourable area will be confined to a small part of the highest part of Southern Tableland. More climate variables will be used to improve maps future limits and to give priority for germplasm collection and conservation.
650 $aclimate change
650 $aConservação
650 $aMudança Climática
653 $aAtlantic rain forest
653 $aConservation
653 $aFloresta Ombrófila Mista
700 1 $aHIGA, R. C. V.
700 1 $aBRITEZ, R. M.
700 1 $aSOUSA, V. A. de
700 1 $aCARAMORI, P. H.
700 1 $aBRAGA, H. J.
700 1 $aRADIN, B.
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Embrapa Florestas (CNPF) |
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