Seed tuber microbiome is a predictor of next-season potato vigor

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This study investigated whether potato crop vigor in the next season can be predicted from the microbiota associated with seed tuber eyes, using time-resolved drone imaging of crop development alongside microbiome sequencing. Researchers sampled seed tuber eyes from 6 potato varieties grown across 240 fields, then analyzed correlations between seed-eye microbiome fingerprints and next-season vigor parameters, finding variety-specific relationships. A Random Forest model termed “Potato-Microbiome Informed” accurately predicted vigor in trial fields and identified key microbial indicators, including performance on seed tubers not used in model training. The paper does not explicitly discuss limitations in the provided text, but the funders were involved in study design, sample collection, and submission decisions. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Summary Potato vigor, an important agronomic trait, is heavily influenced by the field of seed tuber production. Soil microbiota vary significantly between fields, impacting plant health and crop yield. Our study demonstrates that seed potato vigor can be predicted based on microbiota associated with seed tuber eyes, the dormant buds that grow out in the next season. By combining time-resolved drone-imaging of potato crop development with microbiome sequencing of seed tuber eyes from 6 varieties produced in 240 fields, we established correlations between microbiome fingerprints and potato vigor parameters. Employing Random Forest algorithms, we developed a predictive “Potato-Microbiome Informed” model, revealing variety-specific relationships between seed tuber microbiome composition and next season’s potato vigor in trial fields. The model accurately predicted vigor of seed tubers to which the model was naïve and pinpointed key microbial indicators of potato vigor. By connecting variety-specific microbiome fingerprints to crop performance in the field, we pave the way for microbiome-informed breeding strategies.
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Summary Potato vigor, an important agronomic trait, is heavily influenced by the field of seed tuber production. Soil microbiota vary significantly between fields, impacting plant health and crop yield. Our study demonstrates that seed potato vigor can be predicted based on microbiota associated with seed tuber eyes, the dormant buds that grow out in the next season. By combining time-resolved drone-imaging of potato crop development with microbiome sequencing of seed tuber eyes from 6 varieties produced in 240 fields, we established correlations between microbiome fingerprints and potato vigor parameters. Employing Random Forest algorithms, we developed a predictive “Potato-Microbiome Informed” model, revealing variety-specific relationships between seed tuber microbiome composition and next season’s potato vigor in trial fields. The model accurately predicted vigor of seed tubers to which the model was naïve and pinpointed key microbial indicators of potato vigor. By connecting variety-specific microbiome fingerprints to crop performance in the field, we pave the way for microbiome-informed breeding strategies. Competing Interest Statement The authors declare that this study received funding from HZPC Research B.V. and Averis Seeds B.V. The funder had the following involvement in the study: study design, sample collection, and the decision to submit it for publication. DA is a current employee of HZPC research B.V.

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europepmc
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License: CC-BY-NC-ND-4.0