4.5 Article

Crop performance is predicted by soil microbial diversity across phylogenetic scales

期刊

ECOSPHERE
卷 13, 期 5, 页码 -

出版社

WILEY
DOI: 10.1002/ecs2.4029

关键词

disease suppression; diversity; ecosystem function; microbial community; potato

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资金

  1. Wisconsin Potato and Vegetable Growers Association

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Microbial diversity in soils has varying effects on crop yield and disease suppression. High microbial diversity predicts higher yields under low nutrient conditions, while disease suppression is mainly affected by microbial composition rather than diversity. Microbial diversity also influences ecosystem multifunctionality.
Soils contain diverse living communities that provide key ecosystem functions in agroecosystems. In many systems, ecosystem functions are positively related to the taxonomic, phylogenetic, and functional diversity of the community. Despite calls to incorporate microbial diversity in measures of soil health, whether increased microbial diversity per se can predict increased crop health and productivity has rarely been documented. Here, we used microbial communities from commercial potato fields varying in diversity and composition, and experimentally assessed their ability to promote crop yield under low or high nutrient conditions and to suppress a soil-borne pathogen. Across two independent sets of communities, we found that yields under low nutrient conditions were predicted by high initial microbial diversity measured at broad phylogenetic levels, consistent with greater niche complementarity among unrelated taxa leading to greater total resource use. However, disease suppression was inconsistently linked to diversity and was explained as well or better by microbial composition rather than diversity per se. Ecosystem multifunctionality was predicted by high diversity at broad to intermediate phylogenetic scales. These results indicate that the diversity of microbial taxa may influence multiple soil functions; however, the mechanisms underlying the diversity-function relationships may vary.

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