Genomic selection for productive traits in biparental cassava breeding populations

被引:11
|
作者
Torres, Livia Gomes [1 ]
Vilela de Resende, Marcos Deon [2 ,3 ,4 ]
Azevedo, Camila Ferreira [4 ]
Fonseca e Silva, Fabyano [5 ]
de Oliveira, Eder Jorge [6 ]
机构
[1] Univ Fed Vicosa, Dept Plant Sci, Vicosa, MG, Brazil
[2] Univ Fed Vicosa, Dept Forestry Engn, Vicosa, MG, Brazil
[3] Embrapa Florestas, Colombo, Parana, Brazil
[4] Univ Fed Vicosa, Dept Stat, Vicosa, MG, Brazil
[5] Univ Fed Vicosa, Dept Anim Sci, Vicosa, MG, Brazil
[6] Embrapa Mandioca & Fruticultura, Cruz Das Almas, BA, Brazil
来源
PLOS ONE | 2019年 / 14卷 / 07期
基金
比尔及梅琳达.盖茨基金会;
关键词
PREDICTION;
D O I
10.1371/journal.pone.0220245
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cassava improvement using traditional breeding strategies is slow due to the species' long breeding cycle. However, the use of genomic selection can lead to a shorter breeding cycle. This study aimed to estimate genetic parameters for productive traits based on pedigree (pedigree and phenotypic information) and genomic (markers and phenotypic information) analyses using biparental crosses at different stages of selection. A total of 290 clones were genotyped and phenotyped for fresh root yield (FRY), dry matter content (DMC), dry yield (DY), fresh shoot yield (FSY) and harvest index (HI). The clones were evaluated in clonal evaluation trials (CET), preliminary yield trials (PYT), advanced yield trials (AYT) and uniform yield trials (UYT), from 2013 to 2018 in ten locations. The breeding stages were analyzed as follows: one stage (CET), two stages (CET and PYT), three stages (CET, PYT and AYT) and four stages (CET, PYT, AYT and UYT). The genomic predictions were analyzed via k-fold cross-validation based on the genomic best linear unbiased prediction (GBLUP) considering a model with genetic additive effects and genotype x location interactions. Genomic and pedigree accuracies were moderate to high (0.56-0.72 and 0.62-0.78, respectively) for important starch-related traits such as DY and FRY; when considering one breeding stage (CET) with the aim of early selection, the genomic accuracies ranged from 0.60 (DMC) to 0.71 (HI). Moreover, the correlations between the genomic estimation breeding values of one-stage genomic analysis and the estimated breeding values of the four-stage (full data set) pedigree analysis were high for all traits as well as for a selection index including all traits. The results indicate great possibilities for genomic selection in cassava, especially for selection early in the breeding cycle (saving time and effort).
引用
收藏
页数:20
相关论文
empty
未找到相关数据