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Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
19/06/2019 |
Data da última atualização: |
25/08/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRÃO, M. A. G.; FONSECA, A. F. A. da.; GARCIA, A. A. F. |
Afiliação: |
Luís Felipe Ventorim Ferrão., Escola Superior de Agricultura Luiz de Queiroz (ESALQ).; Romário Gava Ferrão, Incaper; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Aymbiré Francisco Almeida da Fonseca, Incaper/Embrapa Café; Antonio Augusto Franco Garcia., Universidade de São Paulo (USP). |
Título: |
A mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Tree Genetics & Genomes, Germany, v. 13, n. 95, p. 13, 2017. |
Páginas: |
13 p. |
Idioma: |
Inglês |
Conteúdo: |
Abstract Genomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-bysequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodnessof-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10?17% higher) and lower prediction errors than traditional GBLUP. The results may be used as basis for additional studies into the genus Coffea and can be expanded for similar perennial crops. MenosAbstract Genomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-bysequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodnessof-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10?17% higher) and lower prediction errors ... Mostrar Tudo |
Palavras-Chave: |
Genomic selection. |
Thesaurus NAL: |
GBLUP; Gbs; Genomic selection; Genotyping by sequencing; MET; Multi environment trials; Perennial crops. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02462naa a2200277 a 4500 001 1021430 005 2022-08-25 008 2017 bl uuuu u00u1 u #d 100 1 $aFERRÃO, L. F. V. 245 $aA mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora.$h[electronic resource] 260 $c2017 300 $a13 p. 520 $aAbstract Genomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-bysequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodnessof-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10?17% higher) and lower prediction errors than traditional GBLUP. The results may be used as basis for additional studies into the genus Coffea and can be expanded for similar perennial crops. 650 $aGBLUP 650 $aGbs 650 $aGenomic selection 650 $aGenotyping by sequencing 650 $aMET 650 $aMulti environment trials 650 $aPerennial crops 653 $aGenomic selection 700 1 $aFERRÃO, R. G. 700 1 $aFERRÃO, M. A. G. 700 1 $aFONSECA, A. F. A. da. 700 1 $aGARCIA, A. A. F. 773 $tTree Genetics & Genomes, Germany$gv. 13, n. 95, p. 13, 2017.
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
05/01/2015 |
Data da última atualização: |
16/01/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
RODRIGUES, W. N.; TOMAZ, M. A.; FERRÃO, R. G.; FERRÃO, M. A. G.; FONSECA, A. F. A. da.; MARTINS, L. D. |
Afiliação: |
Wagner Nunes Rodrigues; Marcelo Antonio Tomaz; Romário Gava Ferrão, Incaper; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Aymbiré Francisco Almeida da Fonseca, Incaper/Embrapa Café; Lima Deleon Martins. |
Título: |
Crop yield bienniality in groups of genotypes of conilon coffee. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
African Journal of Agricultural Research, v. 8 n. 34, p. 4422-4426, september, 2013. |
ISSN: |
1991-637X |
DOI: |
10.5897/AJAR12.1999 |
Idioma: |
Português |
Conteúdo: |
Coffee plantations present large spatial and temporal variability of yield, the variation along the years with high and low productions is known as bienniality. This study investigated the bienniality in different groups of genotypes of conilon coffee, classified by the ripening cycle, evaluating the crop yield of the clones along four years to determine the magnitude of the bienniality. The results indicate that, the bienniality is present in genotypes of conilon coffee from all the studied groups of genotypes, existing very biennial genotypes and also very stable genotypes within each group. |
Thesaurus NAL: |
Coffea canephora; Crop yield; Stability. |
Categoria do assunto: |
-- |
URL: |
http://biblioteca.incaper.es.gov.br/digital/bitstream/item/421/1/article1380898302-Rodrigues-et-al.pdf
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Marc: |
LEADER 01314naa a2200241 a 4500 001 1004758 005 2015-01-16 008 2013 bl uuuu u00u1 u #d 022 $a1991-637X 024 7 $a10.5897/AJAR12.1999$2DOI 100 1 $aRODRIGUES, W. N. 245 $aCrop yield bienniality in groups of genotypes of conilon coffee.$h[electronic resource] 260 $c2013 520 $aCoffee plantations present large spatial and temporal variability of yield, the variation along the years with high and low productions is known as bienniality. This study investigated the bienniality in different groups of genotypes of conilon coffee, classified by the ripening cycle, evaluating the crop yield of the clones along four years to determine the magnitude of the bienniality. The results indicate that, the bienniality is present in genotypes of conilon coffee from all the studied groups of genotypes, existing very biennial genotypes and also very stable genotypes within each group. 650 $aCoffea canephora 650 $aCrop yield 650 $aStability 700 1 $aTOMAZ, M. A. 700 1 $aFERRÃO, R. G. 700 1 $aFERRÃO, M. A. G. 700 1 $aFONSECA, A. F. A. da. 700 1 $aMARTINS, L. D. 773 $tAfrican Journal of Agricultural Research$gv. 8 n. 34, p. 4422-4426, september, 2013.
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