Dépôt numérique

Predictive microbial-based modelling of wheat yields and grain baking quality across a 500km transect in Québec

Asad, Numan Ibne; Tremblay, Julien; Dozois, Jessica; Mukula, Eugenie; L'Espérance, Emmy; Constant, Philippe ORCID logoORCID: https://orcid.org/0000-0003-2739-2801 et Yergeau, Étienne ORCID logoORCID: https://orcid.org/0000-0002-7112-3425 (2021). Predictive microbial-based modelling of wheat yields and grain baking quality across a 500km transect in Québec FEMS Microbiology Ecology , vol. 97 , nº 12. pp. 1-12. DOI: 10.1093/femsec/fiab160.

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Crops yield and quality are difficult to predict using soil physico-chemical parameters. Because of their key roles in nutrient cycles, we hypothesized that there is an untapped predictive potential in the soil microbial communities. To test our hypothesis, we sampled soils across 80 wheat fields of the province of Quebec at the beginning of the growing season in May-June. We used a wide array of methods to characterize the microbial communities, their functions, and activities, including: 1) amplicon sequencing, 2) real-time PCR quantification, and 3) community-level substrate utilization. We also measured grain yield and quality at the end of the growing season, and key soil parameters at sampling. The diversity of fungi, the abundance of nitrification genes, and the use of specific organic carbon sources were often the best predictors for wheat yield and grain quality. Using 11 or less parameters, we were able to explain 64 to 90% of the variation in wheat yield and grain and flour quality across the province of Quebec. Microbial-based regression models outperformed basic soil-based models for predicting wheat quality indicators. Our results suggest that the measurement of microbial parameters early in the season could help predict accurately grain quality and quantity.

Type de document: Article
Informations complémentaires: article fiab160
Mots-clés libres: Amplicon Sequencing; Baking Quality; Biolog; Nitrogen Cycle; Predictive Modelling; Wheat Microbiome
Centre: Centre INRS-Institut Armand Frappier
Date de dépôt: 22 juin 2022 19:09
Dernière modification: 22 juin 2022 19:09
URI: https://espace.inrs.ca/id/eprint/12284

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