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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
11/01/2023 |
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Data da última atualização: |
11/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RESENDE, M. D. V. de; ALVES, R. S. |
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Afiliação: |
MARCOS DEON VILELA DE RESENDE, CNPCa; RODRIGO SILVA ALVES, UNIVERSIDADE FEDERAL DE VIÇOSA. |
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Título: |
Statistical significance, selection accuracy, and experimental precision in plant breeding. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 22, n. 3, 2022. |
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Páginas: |
19 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Genetic selection efficiency is measured by accuracy. Model selection relies on hypothesis testing with effectiveness given by statistical significance (p-value). Estimates of selection accuracy are based on variance parameters and precision. Model selection considers the amount of genetic variability and significance of effects. Questions arise as to which one to use: accuracy or p-value? We show there is a link between the two and both may be used. We derive equations for accuracy in multi-environment trials and determine numbers of repetitions and environments to reach accuracy. We propose a new methodology for accuracy classification based on p-values. This enables a better understanding of the level of accuracy being accepted when certain p-value is used. Accuracy of 90% is associated with p-value of 2%. Use of p-values up to 20% (accuracies above 50%) are acceptable to verify significance of genetic effects. Sample sizes for desired p-values are found via accuracy values. |
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Thesaurus Nal: |
Agricultural statistics; Genetic variance; Plant breeding. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1150868/1/Statistical-significance-selection-accuracy.pdf
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Marc: |
LEADER 01551naa a2200181 a 4500
001 2150868
005 2023-01-11
008 2022 bl uuuu u00u1 u #d
100 1 $aRESENDE, M. D. V. de
245 $aStatistical significance, selection accuracy, and experimental precision in plant breeding.$h[electronic resource]
260 $c2022
300 $a19 p.
520 $aGenetic selection efficiency is measured by accuracy. Model selection relies on hypothesis testing with effectiveness given by statistical significance (p-value). Estimates of selection accuracy are based on variance parameters and precision. Model selection considers the amount of genetic variability and significance of effects. Questions arise as to which one to use: accuracy or p-value? We show there is a link between the two and both may be used. We derive equations for accuracy in multi-environment trials and determine numbers of repetitions and environments to reach accuracy. We propose a new methodology for accuracy classification based on p-values. This enables a better understanding of the level of accuracy being accepted when certain p-value is used. Accuracy of 90% is associated with p-value of 2%. Use of p-values up to 20% (accuracies above 50%) are acceptable to verify significance of genetic effects. Sample sizes for desired p-values are found via accuracy values.
650 $aAgricultural statistics
650 $aGenetic variance
650 $aPlant breeding
700 1 $aALVES, R. S.
773 $tCrop Breeding and Applied Biotechnology$gv. 22, n. 3, 2022.
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