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2. Prediction of secondary metabolites in maize under different nitrogen inputs by hyperspectral sensing and machine learning

4. Silicon drives distinctly the bacterial community in the rhizosphere of maize and common bean

6. Balancing trade-offs: Enhanced carbon assimilation and productivity with reduced nutritional value in a well-watered C4 pasture under a warmer CO2-enriched atmosphere

8. Distinct sources of silicon shape differently the rhizospheric microbial community in sugarcane

9. Soil and foliar Si fertilization alters elemental stoichiometry and increases yield of sugarcane cultivars

16. Effects of Salicylic Acid on Physiological Responses of Pepper Plants Pre-Subjected to Drought under Rehydration Conditions.

27. New approach for predicting nitrogen and pigments in maize from hyperspectral data and machine learning models

42. Edaphic mesofauna, some studies carried out: a review

43. The adequate dose of Mo required for soybean seed treatment is low when associated with Cu, Mn, and Zn compared to its association with Co and Ni, although increasing the risk of toxicity.

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