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

被引：29

作者：

de Lima e Silva, Fernando Higino ^{[1
]}

Viana, Alexandre Pio ^{[1
]}

Santos, Eileen Azevedo ^{[1
]}

de Oliveira Freitas, Josie Cloviane ^{[1
]}

Rodrigues, Daniele Lima ^{[1
]}

do Amaral Junior, Antonio Teixeira ^{[1
]}

机构：

[1] Univ Estadual Norte Fluminense, Lab Melhoramento Genet Vegetal, Av Alberto Lamego 2000,Parque California, BR-28013602 Rio De Janeiro, Brazil

来源：

ACTA SCIENTIARUM-AGRONOMY | 2017年 / 39卷 / 02期

关键词：

mixed models; Passiflora edulis Sims; predicted genotypic values; simultaneous selection; IMPROVEMENT; PROGENIES;

D O I：

10.4025/actasciagron.v39i2.32554

中图分类号：

S3 [农学（农艺学）];

学科分类号：

0901 ;

摘要：

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.

引用

页码：183 / 190

页数：8

共 29 条

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