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
收藏
页码:183 / 190
页数:8
相关论文
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