Teagasc, Crop Science Department, Oak Park, Carlow, Ireland.
Teagasc, Animal and Grassland Research and Innovation Centre, Oak Park, Carlow, Ireland.
Sci Rep. 2017 Jun 15;7(1):3566. doi: 10.1038/s41598-017-03232-8.
Prior knowledge on heading date enables the selection of parents of synthetic cultivars that are well matched with respect to time of heading, which is essential to ensure plants put together will cross pollinate. Heading date of individual plants can be determined via direct phenotyping, which has a time and labour cost. It can also be inferred from family means, although the spread in days to heading within families demands roguing in first generation synthetics. Another option is to predict heading date from molecular markers. In this study we used a large training population consisting of individual plants to develop equations to predict heading date from marker genotypes. Using permutation-based variable selection measures we reduced the marker set from 217,563 to 50 without impacting the predictive ability. Opportunities exist to develop a cheap assay to sequence a small number of regions in linkage disequilibrium with heading date QTL in thousands of samples. Simultaneous use of these markers in non-linkage based marker-assisted selection approaches, such as paternity testing, should enhance the utility of such an approach.
对抽穗期的先验知识能够选择在抽穗时间上非常匹配的合成品种的亲本,这对于确保组合在一起的植物能够进行异花授粉是至关重要的。单个植株的抽穗期可以通过直接表型鉴定来确定,但这需要时间和劳动力成本。也可以从家系平均值推断出来,但在家系内抽穗天数的差异要求在第一代合成品系中进行剔除。另一种选择是从分子标记物预测抽穗期。在这项研究中,我们使用了一个由个体植株组成的大型训练群体来开发从标记基因型预测抽穗期的方程。通过基于排列的变量选择措施,我们将标记集从 217563 个减少到 50 个,而不会影响预测能力。存在开发一种廉价的方法来对与抽穗期 QTL 连锁不平衡的少数几个区域进行测序的机会,在数千个样本中进行测序。同时在非连锁的基于标记的辅助选择方法中使用这些标记物,例如亲子关系测试,应该会增强这种方法的实用性。