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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
08/12/2023 |
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Data da última atualização: |
08/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ADUNOLA, P.; FERRÃO, M. A. G.; FERRÃO, R. G.; FONSECA, A. F. A. da; VOLPI, P. S.; COMÉRIO, M.; VERDIN FILHO, A. C.; MUNOZ, P. R.; FERRÃO, L. F. V. |
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Afiliação: |
PAUL ADUNOLA, UNIVERSITY OF FLORIDA; MARIA AMÉLIA G FERRÃO, CNPCa; ROMÁRIO G FERRÃO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; AYMBIRE F A DA FONSECA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PAULO S VOLPI, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; MARCONE COMÉRIO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; ABRAÃO C VERDIN FILHO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PATRICIO R MUNOZ, UNIVERSITY OF FLORIDA; LUÍS FELIPE V FERRÃO, UNIVERSITY OF FLORIDA. |
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Título: |
Genomic selection for genotype performance and environmental stability in Coffea canéfora. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
G3: Genes, Genomes, Genetics, v. 13, n. 6, p. 1-13, 2023. |
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DOI: |
https://doi.org/10.1093/g3journal/jkad062 |
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Idioma: |
Inglês |
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Conteúdo: |
Coffee is one of the most important beverages and trade products in the world. Among the multiple research initiatives focused on coffee sustainability, plant breeding provides the best means to increase phenotypic performance and release cultivars that could meet market demands. Since coffee is well adapted to a diversity of tropical environments, an important question for those confronting the problem of evaluating phenotypic performance is the relevance of genotype-by-environment interaction. As a perennial crop with a long juvenile phase, coffee is subjected to significant temporal and spatial variations. Such facts not only hinder the selection of promising materials but also cause a majority of complaints among growers. In this study, we hypothesized that trait stability in coffee is genetically controlled and therefore is predictable using molecular information. To test it, we used genome-based methods to predict stability metrics computed with the primary goal of selecting coffee genotypes that combine high phenotypic performance and stability for target environments. Using 2 populations of Coffea canephora, evaluated across multiple years and locations, our contribution is 3-fold: (1) first, we demonstrated that the number of harvest evaluations may be reduced leading to accelerated implementation of molecular breeding; (2) we showed that stability metrics are predictable; and finally, (3) both stable and high-performance genotypes can be simultaneously predicted and selected. While this research was carried out on representative environments for coffee production with substantial crossover in genotypic ranking, we anticipate that genomic prediction can be an efficient tool to select coffee genotypes that combine high performance and stability across years and the target locations here evaluated. MenosCoffee is one of the most important beverages and trade products in the world. Among the multiple research initiatives focused on coffee sustainability, plant breeding provides the best means to increase phenotypic performance and release cultivars that could meet market demands. Since coffee is well adapted to a diversity of tropical environments, an important question for those confronting the problem of evaluating phenotypic performance is the relevance of genotype-by-environment interaction. As a perennial crop with a long juvenile phase, coffee is subjected to significant temporal and spatial variations. Such facts not only hinder the selection of promising materials but also cause a majority of complaints among growers. In this study, we hypothesized that trait stability in coffee is genetically controlled and therefore is predictable using molecular information. To test it, we used genome-based methods to predict stability metrics computed with the primary goal of selecting coffee genotypes that combine high phenotypic performance and stability for target environments. Using 2 populations of Coffea canephora, evaluated across multiple years and locations, our contribution is 3-fold: (1) first, we demonstrated that the number of harvest evaluations may be reduced leading to accelerated implementation of molecular breeding; (2) we showed that stability metrics are predictable; and finally, (3) both stable and high-performance genotypes can be simultaneously predicted an... Mostrar Tudo |
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Thesagro: |
Coffea Canephora. |
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Thesaurus Nal: |
Genomics; Genotype; Plant breeding; Prediction. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1159395/1/Genomic-selection-for-genotype.pdf
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Marc: |
LEADER 02692naa a2200289 a 4500
001 2159395
005 2023-12-08
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1093/g3journal/jkad062$2DOI
100 1 $aADUNOLA, P.
245 $aGenomic selection for genotype performance and environmental stability in Coffea canéfora.$h[electronic resource]
260 $c2023
520 $aCoffee is one of the most important beverages and trade products in the world. Among the multiple research initiatives focused on coffee sustainability, plant breeding provides the best means to increase phenotypic performance and release cultivars that could meet market demands. Since coffee is well adapted to a diversity of tropical environments, an important question for those confronting the problem of evaluating phenotypic performance is the relevance of genotype-by-environment interaction. As a perennial crop with a long juvenile phase, coffee is subjected to significant temporal and spatial variations. Such facts not only hinder the selection of promising materials but also cause a majority of complaints among growers. In this study, we hypothesized that trait stability in coffee is genetically controlled and therefore is predictable using molecular information. To test it, we used genome-based methods to predict stability metrics computed with the primary goal of selecting coffee genotypes that combine high phenotypic performance and stability for target environments. Using 2 populations of Coffea canephora, evaluated across multiple years and locations, our contribution is 3-fold: (1) first, we demonstrated that the number of harvest evaluations may be reduced leading to accelerated implementation of molecular breeding; (2) we showed that stability metrics are predictable; and finally, (3) both stable and high-performance genotypes can be simultaneously predicted and selected. While this research was carried out on representative environments for coffee production with substantial crossover in genotypic ranking, we anticipate that genomic prediction can be an efficient tool to select coffee genotypes that combine high performance and stability across years and the target locations here evaluated.
650 $aGenomics
650 $aGenotype
650 $aPlant breeding
650 $aPrediction
650 $aCoffea Canephora
700 1 $aFERRÃO, M. A. G.
700 1 $aFERRÃO, R. G.
700 1 $aFONSECA, A. F. A. da
700 1 $aVOLPI, P. S.
700 1 $aCOMÉRIO, M.
700 1 $aVERDIN FILHO, A. C.
700 1 $aMUNOZ, P. R.
700 1 $aFERRÃO, L. F. V.
773 $tG3: Genes, Genomes, Genetics$gv. 13, n. 6, p. 1-13, 2023.
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Registro original: |
Embrapa Café (CNPCa) |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
18/11/2019 |
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Data da última atualização: |
18/11/2019 |
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Autoria: |
FERNANDES, F. A.; FERNANDES, T. J.; PEREIRA, A. A.; MEIRELLES, S. L. C.; COSTA, A. C. |
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Afiliação: |
Felipe Augusto Fernandes, Universidade Federal de Lavras - UFLA/Departamento de Estatística; Tales Jesus Fernandes, Universidade Federal de Lavras - UFLA/Departamento de Estatística; Adriele Aparecida Pereira, Universidade Federal de Alfenas - Unifal/Instituto de Ciências Sociais Aplicadas; Sarah Laguna Conceição Meirelles, Universidade Federal de Lavras - UFLA/Departamento de Zootecnia; Adriano Carvalho Costa, Instituto Federal de Goiás. |
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Título: |
Growth curves of meat-producing mammals by von Bertalanffy?s model. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira v. 54, e01162, jan./dez. 2019. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Curvas de crescimento de mamíferos produtores de carne pelo modelo de von Bertalanffy. |
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Conteúdo: |
The objective of this work was to evaluate how the parameterization and the application of different allometric values affect the obtention of the most adequate fit of von Bertalanffy?s model, in the description of the growth curve of meat-producing mammals (bovine, pigs, rabbits, and sheep). Among the nonlinear models, von Bertalanffy?s has been very often applied in several areas, with different parameterizations. This model has been commonly used with an allometric value of m = 2/3; however, for mammals, it is believed that this value can be m = 3/4. The analyzed data referring to the mass of meat-producing mammals according to their age were obtained from research institutions and from the literature. The results showed that von Bertalanffy?s model, with the allometric value of m = 3/4 and the used parameterization, provided better adjustments to quality evaluators. Besides, the model softened the overestimation of parameter a, giving a direct interpretation of parameter b, with the lowest values for curvature measurements, mainly for the parametric ones, and provided more reliable adjustments. Von Bertalanffy?s model can be used in the description of the growth curves of meat-producing mammals. |
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Palavras-Chave: |
Alometria; Modelagem; Modeling; Modelo não linear; Parameterization; Parametrização; Regression. |
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Thesagro: |
Regressão Linear. |
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Thesaurus NAL: |
Allometry; Nonlinear models. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204890/1/Growth-curves-of-meat-producing.pdf
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Marc: |
LEADER 02154naa a2200301 a 4500
001 2114520
005 2019-11-18
008 2019 bl uuuu u00u1 u #d
100 1 $aFERNANDES, F. A.
245 $aGrowth curves of meat-producing mammals by von Bertalanffy?s model.$h[electronic resource]
260 $c2019
500 $aTítulo em português: Curvas de crescimento de mamíferos produtores de carne pelo modelo de von Bertalanffy.
520 $aThe objective of this work was to evaluate how the parameterization and the application of different allometric values affect the obtention of the most adequate fit of von Bertalanffy?s model, in the description of the growth curve of meat-producing mammals (bovine, pigs, rabbits, and sheep). Among the nonlinear models, von Bertalanffy?s has been very often applied in several areas, with different parameterizations. This model has been commonly used with an allometric value of m = 2/3; however, for mammals, it is believed that this value can be m = 3/4. The analyzed data referring to the mass of meat-producing mammals according to their age were obtained from research institutions and from the literature. The results showed that von Bertalanffy?s model, with the allometric value of m = 3/4 and the used parameterization, provided better adjustments to quality evaluators. Besides, the model softened the overestimation of parameter a, giving a direct interpretation of parameter b, with the lowest values for curvature measurements, mainly for the parametric ones, and provided more reliable adjustments. Von Bertalanffy?s model can be used in the description of the growth curves of meat-producing mammals.
650 $aAllometry
650 $aNonlinear models
650 $aRegressão Linear
653 $aAlometria
653 $aModelagem
653 $aModeling
653 $aModelo não linear
653 $aParameterization
653 $aParametrização
653 $aRegression
700 1 $aFERNANDES, T. J.
700 1 $aPEREIRA, A. A.
700 1 $aMEIRELLES, S. L. C.
700 1 $aCOSTA, A. C.
773 $tPesquisa Agropecuária Brasileira$gv. 54, e01162, jan./dez. 2019.
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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