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- Title
Prediction of genetic gains by selection indexes and REML/BLUP methodology in a population of sour passion fruit under recurrent selection.
- Authors
de Lima e Silva, Fernando Higino; Pio Viana, Alexandre; Azevedo Santos, Eileen; de Oliveira Freitas, Jôsie Cloviane; Lima Rodrigues, Daniele; do Amaral Júnior, Antonio Teixeira
- Abstract
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.
- Subjects
PASSION fruit; PLANT breeding; PLANT development; PLANT selection; PROGENY tests (Botany)
- Publication
Acta Scientiarum: Agronomy, 2017, Vol 39, Issue 2, p183
- ISSN
1679-9275
- Publication type
Article
- DOI
10.4025/actasciagron.v39i2.32554