Prediction of genetic gains by selection indexes and REML/BLUP methodology in a population of sour passion fruit under recurrent selection

• Published in: Acta scientiarum. Agronomy Vol. 39; no. 2; pp. 183 - 190
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: Maringa Editora da Universidade Estadual de Maringá - EDUEM 01-04-2017; Eduem (Editora da Universidade Estadual de Maringá)
• Subjects: AGRONOMY; Cultivars; Experiments; Fruits; mixed models; Passiflora edulis Sims; predicted genotypic values; Selective breeding; simultaneous selection; seleção simultânea; modelos mistos; predicted genotypic values; valores genotípicos preditos; mixed models; simultaneous selection; Passiflora edulis Sims
• ISSN: 1679-9275; 1807-8621; 1807-8621
• DOI: 10.4025/actasciagron.v39i2.32554

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.