Comparison of Single-Trait and Multi-Trait GBLUP Models for Genomic Prediction in Red Clover

被引:1
|
作者
Osterman, Johanna [1 ]
Gutierrez, Lucia [2 ]
Ohlund, Linda [3 ]
Ortiz, Rodomiro [1 ]
Hammenhag, Cecilia [1 ]
Parsons, David [4 ]
Geleta, Mulatu [1 ]
机构
[1] Swedish Univ Agr Sci, Dept Plant Breeding, S-23456 Lomma, Sweden
[2] Univ Wisconsin, Dept Agron, Madison, WI 53706 USA
[3] Lantmannen, S-26831 Svalov, Sweden
[4] Swedish Univ Agr Sci, Dept Crop Prod Ecol, Umea, Sweden
来源
AGRONOMY-BASEL | 2024年 / 14卷 / 10期
关键词
GBLUP; genomic prediction; genomic selection; longitudinal genomic prediction model; multi-trait genomic prediction model; pool-seq; red clover; FORAGE QUALITY; R-PACKAGE; YIELD; GENERATION;
D O I
10.3390/agronomy14102445
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Red clover (Trifolium pratense) is a perennial forage legume wildly used in temperate regions, including northern Europe. Its breeders are under increasing pressure to obtain rapid genetic gains to meet the high demand for improved forage yield and quality. One solution to increase genetic gain by reducing time and increasing accuracy is genomic selection. Thus, efficient genomic prediction (GP) models need to be developed, which are unbiased to traits and harvest time points. This study aimed to develop and evaluate single-trait (ST) and multi-trait (MT) models that simultaneously target more than one trait or cut. The target traits were dry matter yield, crude protein content, net energy for lactation, and neutral detergent fiber. The MT models either combined dry matter yield with one forage quality trait, all traits at one cut, or one trait across all cuts. The results show an increase with MT models where the traits had a genetic correlation of 0.5 or above. This study indicates that non-additive genetic effects have significant but varying effects on the predictive ability and reliability of the models. The key conclusion of this study was that these non-additive genetic effects could be better described by incorporating genetically correlated traits or cuts.
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页数:18
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