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多环境试验揭示了燕麦农艺性状与气候变量变化相关的遗传可塑性。

Multi-Environmental Trials Reveal Genetic Plasticity of Oat Agronomic Traits Associated With Climate Variable Changes.

作者信息

Rispail Nicolas, Montilla-Bascón Gracia, Sánchez-Martín Javier, Flores Fernando, Howarth Catherine, Langdon Tim, Rubiales Diego, Prats Elena

机构信息

Institute for Sustainable Agriculture, CSIC, Córdoba, Spain.

ETSI La Rábida, University of Huelva, Palos de la Frontera, Spain.

出版信息

Front Plant Sci. 2018 Sep 19;9:1358. doi: 10.3389/fpls.2018.01358. eCollection 2018.

Abstract

Although oat cultivation around the Mediterranean basin is steadily increasing, its yield in these regions lags far behind those of Northern Europe. This results mainly from the poor adaptation of current oat cultivars to Mediterranean environments. Local landraces may act as reservoirs of favorable traits that could contribute to increase oat resilience in this region. To aid selection of suitable agro-climate adapted genotypes we integrated genome-wide association approaches with analysis of field assessed phenotypes of genetic variants and of the weight of associated markers across different environmental variables. Association models accounting for oat population structure were applied on either arithmetic means or best linear unbiased prediction (BLUPs) to ensure robust identification of associations with the agronomic traits evaluated. The meta-analysis of the six joint environments (mega-environment) identified several markers associated with several agronomic traits and crown rust severity. Five of these associated markers were located within expressed genes. These associations were only mildly influenced by climatic variables indicating that these markers are good candidates to improve the genetic potential of oat under Mediterranean conditions. The models also highlighted several marker-trait associations, strongly affected by particular climatic variables including high rain pre- or post-heading dates and high temperatures, revealing strong potential for oat adaptation to specific agro-climatic conditions. These results will contribute to increase oat resilience for particular climatic conditions and facilitate breeding for plant adaptation to a wider range of climatic conditions in the current scenario of climate change.

摘要

尽管地中海盆地周边的燕麦种植面积在稳步增加,但其在这些地区的产量却远远落后于北欧地区。这主要是由于当前燕麦品种对地中海环境的适应性较差。当地地方品种可能是有利性状的储存库,有助于提高该地区燕麦的抗逆性。为了辅助选择适合农业气候的基因型,我们将全基因组关联方法与对遗传变异的田间评估表型以及不同环境变量下相关标记权重的分析相结合。考虑燕麦群体结构的关联模型应用于算术平均值或最佳线性无偏预测(BLUPs),以确保可靠地识别与所评估农艺性状的关联。对六个联合环境(大环境)的荟萃分析确定了几个与多个农艺性状和冠锈病严重程度相关的标记。其中五个相关标记位于表达基因内。这些关联仅受到气候变量的轻微影响,表明这些标记是改善地中海条件下燕麦遗传潜力的良好候选者。这些模型还突出了几个标记 - 性状关联,受到特定气候变量的强烈影响,包括抽穗前或抽穗后的高降雨量以及高温,揭示了燕麦适应特定农业气候条件的强大潜力。这些结果将有助于提高燕麦对特定气候条件的抗逆性,并在当前气候变化情景下促进培育适应更广泛气候条件的植物品种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dba3/6156136/c164fa26bc1d/fpls-09-01358-g001.jpg

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