| Registro completo |
| Provedor de dados: |
Agronomy
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| País: |
Brazil
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| Título: |
Prediction of genetic gains by selection indexes and REML/BLUP methodology in a population of sour passion fruit under recurrent selection
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| Autores: |
Silva, Fernando Higino de Lima e
Viana, Alexandre Pio
Freitas, Jôsie Cloviane de Oliveira
Santos, Eileen Azevedo
Rodrigues, Daniele Lima
Amaral Junior, Antonio Teixeira do
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| Data: |
2017-04-11
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| Ano: |
2017
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| Palavras-chave: |
Mixed models
Passiflora edulis Sims
Predicted genotypic values
Simultaneous selection.
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| Resumo: |
Breeding programmes must be improved to accelerate the development of new cultivars due to the commercial importance of passion fruit. This study compared four selection indexes and the REML/BLUP methodology in an assessment of predicted genetic gains in the traits of interest. A total of 81 full-sib progenies derived from the third cycle of recurrent selection were assessed for one harvest in one environment. The experiment was arranged in a randomized complete block design with five plants per plot. The following traits were assessed: number of fruits, total yield, fruit mass, fruit longitudinal diameter, fruit transverse diameter, fruit pulp percentage, shell thickness and content of soluble solids. The Mulamba & Mock index produced the best results for the selection of progenies. The REML/BLUP method was the most efficient and selected progenies with predicted genetic gains better than the selection indexes tested.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32554
10.4025/actasciagron.v39i2.32554
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| Editor: |
Universidade Estadual de Maringá
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| Relação: |
http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/32554/pdf
http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/downloadSuppFile/32554/12820
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| Formato: |
application/pdf
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| Fonte: |
Acta Scientiarum. Agronomy; v. 39, n. 2 (2017); 183-190
Acta Scientiarum. Agronomy; v. 39, n. 2 (2017); 183-190
1807-8621
1679-9275
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| Direitos: |
Direitos autorais 2017 Acta Scientiarum. Agronomy
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