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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
16/08/2021 |
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Data da última atualização: |
16/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FONSECA, J. M. O.; NUNES, J. A. R.; GONÇALVES, F. M. A.; SOUZA SOBRINHO, F. de; BENITES, F. R. G.; TEIXEIRA, D. H. L. |
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Afiliação: |
JALES MENDES OLIVEIRA FONSECA, Texas A&M University; JOSÉ AIRTON RODRIGUES NUNES, Universidade Federal de Lavras; FLAVIA MARIA AVELAR GONÇALVES, Universidade Federal de Lavras; FAUSTO DE SOUZA SOBRINHO, CNPGL; FLAVIO RODRIGO GANDOLFI BENITES, CNPGL; DAVI HENRIQUE LIMA TEIXEIRA, Universidade Federal Rural da Amazonia. |
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Título: |
Predictive approach to optimize the number of visual graders for indirect selection of highyielding Urochloa ruziziensis genotypes. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 20, n. 3, e329220314, 2020. |
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DOI: |
http://dx.doi.org/10.1590/1984- 70332020v20n3a48 |
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Idioma: |
Inglês |
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Conteúdo: |
Forage plant breeders often use visual scores to assess agronomic traits because of the costs associated with in-depth phenotyping in the initial stages of breeding cycles. The aim of this study was to investigate the impact of the number of graders on the effectiveness of indirect selection of high-yielding genotypes and determine an optimal number of graders in the early-stage trials of Urochloa ruziziensis. For that purpose, five graders assessed 2.219 U. ruziziensis genotypes in an augmented block design. Biomass production and vigor scores were evaluated in two cuts and were analyzed using a linear mixed model approach. Vigor scores were analyzed considering each grader?s score and the combinations of two, three, four, and five graders. Genetic variance was significant for both traits. Visual evaluation was effective in identifying productive genotypes based on the statistical criteria. The optimal number of graders for indirect selection of high-yielding U. ruziziensis genotypes is three. |
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Palavras-Chave: |
Forage breeding; Precisão; Visual selection. |
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Thesagro: |
Brachiaria; Capim Brachiaria; Forragem; Melhoramento. |
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Thesaurus Nal: |
Accuracy. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225210/1/Predictive-approach.pdf
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Marc: |
LEADER 01938naa a2200289 a 4500
001 2133606
005 2021-08-16
008 2020 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1590/1984- 70332020v20n3a48$2DOI
100 1 $aFONSECA, J. M. O.
245 $aPredictive approach to optimize the number of visual graders for indirect selection of highyielding Urochloa ruziziensis genotypes.$h[electronic resource]
260 $c2020
520 $aForage plant breeders often use visual scores to assess agronomic traits because of the costs associated with in-depth phenotyping in the initial stages of breeding cycles. The aim of this study was to investigate the impact of the number of graders on the effectiveness of indirect selection of high-yielding genotypes and determine an optimal number of graders in the early-stage trials of Urochloa ruziziensis. For that purpose, five graders assessed 2.219 U. ruziziensis genotypes in an augmented block design. Biomass production and vigor scores were evaluated in two cuts and were analyzed using a linear mixed model approach. Vigor scores were analyzed considering each grader?s score and the combinations of two, three, four, and five graders. Genetic variance was significant for both traits. Visual evaluation was effective in identifying productive genotypes based on the statistical criteria. The optimal number of graders for indirect selection of high-yielding U. ruziziensis genotypes is three.
650 $aAccuracy
650 $aBrachiaria
650 $aCapim Brachiaria
650 $aForragem
650 $aMelhoramento
653 $aForage breeding
653 $aPrecisão
653 $aVisual selection
700 1 $aNUNES, J. A. R.
700 1 $aGONÇALVES, F. M. A.
700 1 $aSOUZA SOBRINHO, F. de
700 1 $aBENITES, F. R. G.
700 1 $aTEIXEIRA, D. H. L.
773 $tCrop Breeding and Applied Biotechnology$gv. 20, n. 3, e329220314, 2020.
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