Nannuru Vinay Kumar Reddy, Dieseth Jon Arne, Lillemo Morten, Meuwissen Theodorus H E
Department of Plant Sciences, Norwegian University of Life Sciences, 1432 Ås, Norway.
Graminor AS, 2322 Ridabu, Norway.
Mol Breed. 2025 Jan 9;45(1):14. doi: 10.1007/s11032-024-01527-z. eCollection 2025 Jan.
Genomic selection-based breeding programs offer significant advantages over conventional phenotypic selection, particularly in accelerating genetic gains in plant breeding, as demonstrated by simulations focused on combating Fusarium head blight (FHB) in wheat. FHB resistance, a crucial trait, is challenging to breed for due to its quantitative inheritance and environmental influence, leading to slow progress using conventional breeding methods. Stochastic simulations in our study compared various breeding schemes, incorporating genomic selection (GS) and combining it with speed breeding, against conventional phenotypic selection. Two datasets were simulated, reflecting real-life genotypic data (MASBASIS) and a simulated wheat breeding program (EXAMPLE). Initially a 20-year burn-in phase using a conventional phenotypic selection method followed by a 20-year advancement phase with three GS-based breeding programs (GSF2F8, GSF8, and SpeedBreeding + GS) were evaluated alongside over a conventional phenotypic selection method. Results consistently showed significant increases in genetic gain with GS-based programs compared to phenotypic selection, irrespective of the selection strategies employed. Among the GS schemes, SpeedBreeding + GS consistently outperformed others, generating the highest genetic gains. This combination effectively minimized generation intervals within the breeding cycle, enhancing efficiency. This study underscores the advantages of genomic selection in accelerating breeding gains for wheat, particularly in combating FHB. By leveraging genomic information and innovative techniques like speed breeding, breeders can efficiently select for desired traits, significantly reducing testing time and costs associated with conventional phenotypic methods.
The online version contains supplementary material available at 10.1007/s11032-024-01527-z.
基于基因组选择的育种计划比传统的表型选择具有显著优势,特别是在加速植物育种的遗传进展方面,正如针对小麦赤霉病(FHB)防治的模拟研究所示。FHB抗性是一个关键性状,由于其数量遗传和环境影响,育种难度较大,导致传统育种方法进展缓慢。我们研究中的随机模拟比较了各种育种方案,包括基因组选择(GS)并将其与快速育种相结合,与传统表型选择进行对比。模拟了两个数据集,分别反映实际基因型数据(MASBASIS)和一个模拟小麦育种计划(EXAMPLE)。最初使用传统表型选择方法进行了20年的磨合阶段,随后评估了三个基于GS的育种计划(GSF2F8、GSF8和快速育种 + GS)以及传统表型选择方法的20年推进阶段。结果始终表明,与表型选择相比,基于GS的计划在遗传进展方面有显著提高,无论采用何种选择策略。在GS方案中,快速育种 + GS始终优于其他方案,产生了最高的遗传进展。这种组合有效地缩短了育种周期内的世代间隔,提高了效率。本研究强调了基因组选择在加速小麦育种进展方面的优势,特别是在防治FHB方面。通过利用基因组信息和快速育种等创新技术,育种者可以有效地选择所需性状,显著减少与传统表型方法相关的测试时间和成本。
在线版本包含可在10.1007/s11032-024-01527-z获取的补充材料。