Genome wide selection in citrus breeding.
Genome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus.
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Format: | Artigo de periódico biblioteca |
Language: | English eng |
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2017-07-14
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Subjects: | Seleção precoce, DarT_seq, Selective accuracy, Molecular markers., Fruta cítrica, Melhoramento vegetal, Marcador Molecular., Citrus, Plant breeding, early selection, linkage disequilibrium., |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072713 http://dx.doi.org/10.4238/gmr15048863 |
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dig-alice-doc-10727132018-01-03T23:18:56Z Genome wide selection in citrus breeding. GOIS, I. B. BORÉM, A. CRISTOFANI-YALY, M. RESENDE, M. D. V. de AZEVEDO, C. F. BASTIANEL, M. NOVELLI, V. M. MACHADO, M. A. I. B. Gois, Departamento de Fitotecnia, Universidade Federal de Viçosa; A. Borém, Departamento de Fitotecnia, Universidade Federal de Viçosa; M. Cristofani-Yaly, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; MARCOS DEON VILELA DE RESENDE, CNPF; C. F. Azevedo, Departamento de Estatística, Universidade Federal de Viçosa; M. Bastianel, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; V. M. Novelli, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; M. A. Machado, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira. Seleção precoce DarT_seq Selective accuracy Molecular markers. Fruta cítrica Melhoramento vegetal Marcador Molecular. Citrus Plant breeding early selection linkage disequilibrium. Genome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus. 2018-01-03T23:18:49Z 2018-01-03T23:18:49Z 2017-07-14 2016 2018-01-03T23:18:49Z Artigo de periódico Genetics and Molecular Research, v. 15, n. 4, gmr15048863, Oct. 2016. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072713 http://dx.doi.org/10.4238/gmr15048863 en eng openAccess |
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Seleção precoce DarT_seq Selective accuracy Molecular markers. Fruta cítrica Melhoramento vegetal Marcador Molecular. Citrus Plant breeding early selection linkage disequilibrium. Seleção precoce DarT_seq Selective accuracy Molecular markers. Fruta cítrica Melhoramento vegetal Marcador Molecular. Citrus Plant breeding early selection linkage disequilibrium. |
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Seleção precoce DarT_seq Selective accuracy Molecular markers. Fruta cítrica Melhoramento vegetal Marcador Molecular. Citrus Plant breeding early selection linkage disequilibrium. Seleção precoce DarT_seq Selective accuracy Molecular markers. Fruta cítrica Melhoramento vegetal Marcador Molecular. Citrus Plant breeding early selection linkage disequilibrium. GOIS, I. B. BORÉM, A. CRISTOFANI-YALY, M. RESENDE, M. D. V. de AZEVEDO, C. F. BASTIANEL, M. NOVELLI, V. M. MACHADO, M. A. Genome wide selection in citrus breeding. |
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Genome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus. |
author2 |
I. B. Gois, Departamento de Fitotecnia, Universidade Federal de Viçosa; A. Borém, Departamento de Fitotecnia, Universidade Federal de Viçosa; M. Cristofani-Yaly, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; MARCOS DEON VILELA DE RESENDE, CNPF; C. F. Azevedo, Departamento de Estatística, Universidade Federal de Viçosa; M. Bastianel, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; V. M. Novelli, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; M. A. Machado, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira. |
author_facet |
I. B. Gois, Departamento de Fitotecnia, Universidade Federal de Viçosa; A. Borém, Departamento de Fitotecnia, Universidade Federal de Viçosa; M. Cristofani-Yaly, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; MARCOS DEON VILELA DE RESENDE, CNPF; C. F. Azevedo, Departamento de Estatística, Universidade Federal de Viçosa; M. Bastianel, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; V. M. Novelli, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; M. A. Machado, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira. GOIS, I. B. BORÉM, A. CRISTOFANI-YALY, M. RESENDE, M. D. V. de AZEVEDO, C. F. BASTIANEL, M. NOVELLI, V. M. MACHADO, M. A. |
format |
Artigo de periódico |
topic_facet |
Seleção precoce DarT_seq Selective accuracy Molecular markers. Fruta cítrica Melhoramento vegetal Marcador Molecular. Citrus Plant breeding early selection linkage disequilibrium. |
author |
GOIS, I. B. BORÉM, A. CRISTOFANI-YALY, M. RESENDE, M. D. V. de AZEVEDO, C. F. BASTIANEL, M. NOVELLI, V. M. MACHADO, M. A. |
author_sort |
GOIS, I. B. |
title |
Genome wide selection in citrus breeding. |
title_short |
Genome wide selection in citrus breeding. |
title_full |
Genome wide selection in citrus breeding. |
title_fullStr |
Genome wide selection in citrus breeding. |
title_full_unstemmed |
Genome wide selection in citrus breeding. |
title_sort |
genome wide selection in citrus breeding. |
publishDate |
2017-07-14 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072713 http://dx.doi.org/10.4238/gmr15048863 |
work_keys_str_mv |
AT goisib genomewideselectionincitrusbreeding AT borema genomewideselectionincitrusbreeding AT cristofaniyalym genomewideselectionincitrusbreeding AT resendemdvde genomewideselectionincitrusbreeding AT azevedocf genomewideselectionincitrusbreeding AT bastianelm genomewideselectionincitrusbreeding AT novellivm genomewideselectionincitrusbreeding AT machadoma genomewideselectionincitrusbreeding |
_version_ |
1756024191878955008 |