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通过补偿而非互补来稳定植物基因型混合物的产量。

Stabilization of yield in plant genotype mixtures through compensation rather than complementation.

机构信息

Crop Genetics Department, John Innes Centre, Norwich Research Park, Norwich, Norfolk NR4 7UH, UK.

出版信息

Ann Bot. 2013 Nov;112(7):1439-47. doi: 10.1093/aob/mct209. Epub 2013 Sep 18.

Abstract

BACKGROUND AND AIMS

Plant genotypic mixtures have the potential to increase yield stability in variable, often unpredictable environments, yet knowledge of the specific mechanisms underlying enhanced yield stability remains limited. Field studies are constrained by environmental conditions which cannot be fully controlled and thus reproduced. A suitable model system would allow reproducible experiments on processes operating within crop genetic mixtures.

METHODS

Phenotypically dissimilar genotypes of Arabidopsis thaliana were grown in monocultures and mixtures under high levels of competition for abiotic resources. Seed production, flowering time and rosette size were recorded.

KEY RESULTS

Mixtures achieved high yield stability across environments through compensatory interactions. Compensation was greatest when plants were under high levels of heat and nutrient stress. Competitive ability and mixture performance were predictable from above-ground phenotypic traits even though below-ground competition appeared to be more intense.

CONCLUSIONS

This study indicates that the mixing ability of plant genotypes can be predicted from their phenotypes expressed in a range of relevant environments, and implies that a phenotypic screen of genotypes could improve the selection of suitable components of genotypic mixtures in agriculture intended to be resilient to environmental stress.

摘要

背景与目的

植物基因型混合物具有在多变、通常不可预测的环境中提高产量稳定性的潜力,但对于增强产量稳定性的具体机制的了解仍然有限。田间研究受到环境条件的限制,这些条件无法完全控制和重现。一个合适的模型系统将允许在作物遗传混合物内部运作的过程进行可重复的实验。

方法

在高度竞争的非生物资源条件下,分别对拟南芥的表型不同基因型进行单培和混培。记录种子产量、开花时间和莲座叶大小。

主要结果

通过补偿性相互作用,混合物在不同环境下实现了高产量稳定性。在高温和养分胁迫水平较高时,补偿作用最大。尽管地下竞争似乎更加激烈,但植物的竞争能力和混合物的性能可以从地上表型特征来预测。

结论

本研究表明,可以根据植物基因型在一系列相关环境中表达的表型来预测其混合能力,这意味着对基因型混合物的组分进行表型筛选可能会提高农业中对环境胁迫具有弹性的合适成分的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b74/3806538/be914e5cf6cc/mct20901.jpg

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