Paola de Figueiredo Bongiovani


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de Figueiredo Bongiovani

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Paola

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0000-0003-0513-7404

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2024 - 20253
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Publications 1 - 3 of 3
  • Nitrogen fertilization strategy for Swiss winter wheat under climate-induced rainfall reduction: A model-based assessment
    Item type: Journal Article
    de Figueiredo Bongiovani, Paola; Herrera, Juan Manuel; Frossard, Emmanuel; et al. (2025)
    European Journal of Agronomy
    Reduced rainfall and nitrogen (N) use in warm-summer humid continental climates may lower wheat yields. Our study employs the DSSAT-Nwheat process-based crop simulation model to quantify the effects of N input and rainfall on various phenological stages of the Swiss wheat genotype CH Nara, calibrated and evaluated using field data from 2018 to 2022. Simulations over 42 years (1981–2022) across five different Cambisols used historical daily weather data to test rainfall reductions from 20 % to 100 % during three critical periods (30 days before anthesis, 30 days after anthesis, and ±30 days around anthesis) as well as throughout the entire season. Nitrogen fertilizer treatments ranged from zero to 140 kg N ha−1. The model accurately simulated yields with an RMSE of 895.5 kg ha−1 during calibration and 1091.4 kg ha−1 during validation. Results showed that yields were not adversely affected by rainfall reductions up to 40 %, regardless of N levels or timing. However, yields significantly declined when reductions exceeded 60 %, especially with N applications above 100 kg ha−1. Optimal yields were noted at 140 kg N ha−1, but benefits decreased under scenarios of reduced rainfall, indicating that N recommendations may need to be lowered in response to projected rainfall reductions. This study provides quantitative guidance for adapting wheat fertilization strategies to maintain productivity while accounting for future rainfall variability.
  • Performance and sensitivity to climate change of two DSSAT-CSM cassava models for the Brazilian cultivar BRS Formosa
    Item type: Journal Article
    de Figueiredo Bongiovani, Paola; Sentelhas , Paulo Cesar; Magalhães de Melo , Diego; et al. (2025)
    Field Crops Research
    Context or problem: Cassava is well-adapted to diverse climates, but its response to future climate conditions remains uncertain. Crop growth models are crucial for predicting climate effects on yield and evaluating strategies to mitigate or adapt to these changes. However, these models require evaluation to simulate yield accurately. Objective or research question: The goal of this study was to evaluate the performance of the of the CSM-CROPSIM-Cassava and CSM-MANIHOT-Cassava models in the DSSAT platform for simulating the yield of the drought- and bacterial blight-tolerant cassava variety BRS Formosa in Brazil's northeast climate. The objectives were: i) to calibrate and assess model performance for estimating BRS Formosa yield, and ii) to analyze the models' sensitivity to changes in temperature, rainfall, and CO2, exploring their potential for climate impact studies. Methods: Calibration was based on the irrigated treatments from Embrapa experiments conducted in Cruz das Almas (2017–2020) and Petrolina (2015/16), while for evaluation the data from rainfed treatments and additional experiments in Cruz das Almas (2012–2018), Guanambi (2013–2015), Laje (2012/13, 2015/16), and Petrolina (2013/14), were used. Calibration involved adjusting 23 genetic coefficients for CSM-CROPSIM-Cassava and 13, for CSM-MANIHOT-Cassava. Results: Model performance was evaluated using statistical indices, showing good accuracy for cassava storage root yield, with MAEs of 2195 and 2425 kg ha−1 and d values of 0.92 and 0.83 for CSM-CROPSIM-Cassava and CSM-MANIHOT-Cassava, respectively. The ensemble of both models, applied to final storage root yield only, further improved performance (MAE = 1973 kg ha−1; d = 0.91). Both models also simulated phenology and canopy traits (leaf number, stem and aboveground biomass) with good accuracy, and were sensitive to air temperature, rainfall, and [CO₂]. Conclusions: The ensemble provided the most reliable estimates of final storage root yield with the current DSSAT versions, whereas the individual models remain valuable for simulating phenology and canopy traits. Implications or significance: The model analyses from this study are essential for estimating future cassava yield in Northeast Brazil, assessing climate risks, and guiding adaptive strategies for sustainable production.
  • Responses of winter wheat genotypes to reduced rainfall, nitrogen fertilization and pre-crops in Switzerland
    Item type: Journal Article
    de Figueiredo Bongiovani, Paola; Frossard, Emmanuel; de S. Nóia Júnior, Rogério; et al. (2024)
    Field Crops Research
    Problem: Wheat (Triticum aestivum L.) yields may be reduced by projected rainfall decline due to climate change as well as environmental protection demands for less nitrogen (N) fertilizer inputs. Research question: Therefore, our study aims to determine how projected decreases in rainfall due to climate change and the reduction of N fertilizer inputs might impact the production of different wheat genotypes. Methods: A field experiment was carried out in a warm-summer humid continental climate in Switzerland with two water treatments: rainfed and rainout shelters to reduce rainfall during grain filling. This was overlaid with two N treatments (non-fertilized and enough N supply to reach 180 kg N ha−1), four winter wheat genotypes, and three pre-crops (barley, Hordeum vulgare L.; oilseed rape, Brassica napus L.; winter pea, Pisum sativum L.) across three field seasons. Grain yield and protein content, yield related components, water-soluble carbohydrates (WSC), N use efficiency (NUE) and N associated traits, were among the assessed variables. Additionally, soil mineral N (Nmin) was measured at beginning of tillering. The three seasons encompassed both average and above average precipitation. The rainout shelter extended the rainfall range to low rainfall during grain filling, compared to the last 30 years. Results: The reduced rainfall during grain filling had no impact on yield, regardless of crop season, N fertilizer application, pre-crop, initial Nmin, or genotype. N fertilizer applications had no impact on wheat yield when fields had an initial Nmin > 50 kg N ha−1, nor after a poor crop establishment caused by a wet autumn. During a wet season with initial Nmin ≤ 50 kg N ha−1, wheat responded to N fertilizer after a brassica pre-crop, but less so after a legume or a cereal crop. The genotype with a mean of 29% more grains per unit area, yielded up to 8.2 t ha−1 in one plot and, on average, about 25% higher than the mean of the other genotypes. Conclusions: In the short term, wheat production in warm-summer humid continental climates appears resilient to projected rainfall decline from climate change and reductions of N fertilizer inputs, but excessive rainfall during sowing causing poor crop establishment might be much more devastating. The impact on wheat yields observed only on the third year of consecutive cultivation without N fertilizer, suggests the potential for decreasing N supply over a few years. Implications or significance: This study underscores wheat's short-term resilience to drought and reduced N use, bolstering food security efforts.
Publications 1 - 3 of 3