Yield In Brazil Research Articles

Sustainable Sugarcane Straw Special Issue: Considerations for Brazilian Bioenergy Production

This issue of Bioenergy Research summarizes the results of two large-scale projects aiming to provide quantitative data to support decision-making for straw management and establish rational plans for sustainable straw removal without compromising soil health, greenhouse gas (GHG) emissions, and sugarcane yield in Brazil. These projects cover results from multi-disciplinary research quantifying the effects of sugarcane straw harvest, transport, and conversion into biofuel, bioelectricity, or bio-renewable. Seventeen publications from a cross-institutional group addressing soil health, nutrient cycling and fertilizer management, GHG emissions, pest management, crop yield, engineering solutions, and industrial performance are included in this special issue. Overall, the main findings confirm that sustainable straw removal is feasible in Brazil, but integrated knowledge should be used to ensure that straw removal for industrial uses will not compromise soil ecosystem services and crop yields. We believe that this special issue provides an amalgamation of high-level scientific information and can be used on a strategic basis by academics, sugarcane industry, and policy makers at both state and national government levels.

Straw Removal Affects Soil Physical Quality and Sugarcane Yield in Brazil

Industrial use of sugarcane straw for bioenergy production represents a promising opportunity for the Brazilian sugarcane sector. Nonetheless, intensified straw removal may aggravate the effects of mechanized harvesting and increase the risks of soil compaction, declining sugarcane yield. An experiment was designed, and four field studies were conducted to evaluate the cumulative effects of straw removal on soil physical attributes (bulk density, BD; soil resistance to penetration, SRP; macroporosity, MaP; microporosity, MiP, and mean weight diameter of soil aggregates, MWD) and their relationship with crop yield under clayey and sandy soils in the Sao Paulo state, Brazil. In each field study, four straw removal rates (no removal, NR; low removal, LR, removal of 5 Mg ha−1; high removal, HR, removal of 10 Mg ha−1; and total removal, TR, removal of 15 Mg ha−1) were arranged in a randomized block design with four replicates. The 4-year intensive management of straw removal (HR and TR) resulted in an increased soil compaction (BD and SRP values) and reduced the MWD in both sandy and clayey soils. Our findings also showed that these effects are more significant in sandy soils, where soil carbon content was substantially reduced in HR and TR treatments. Sites with higher BD and SRP induced by straw removal were strongly associated with lower sugarcane yields, especially in sandy soils. Conversely, our findings indicate that LR was not detrimental to soil physical quality and sugarcane yield. Nevertheless, considering the multifunctionality of straw in sustaining multiple ecosystem services in different soil types, straw management should be defined taking into consideration site-specific conditions. We advocate that recommendations for straw removal should also be combined with other conservationist soil management practices in order to minimize soil compaction and its negative implications on sugarcane yield and other ecosystem services.

Climate change does not impact on Coffea arabica yield in Brazil.

Brazil is the largest producer of coffee in the world. Studies on climate change estimate large impacts on the production of Coffea arabica (C. arabica). In this context, it is necessary to know the quantitative production values to provide evidence for policy makers to target the prompt answer. Using data from 18 municipalities located in five Brazilian states that produce more coffee in Brazil, in an unprecedented way, in this work it is shown that although the minimum temperature is the most important climatic variable for the production, its effect, although positive, and its degree of explanation, were technically too small to explain the volume of production in Brazilian conditions. According to the model of non-stationary time series ARIMA (1, 1, 0) coffee production in the future may reach almost four million tons, and the productivity almost 2500 kg ha-1 on average, with the advancement of technology as the main factor that should promote simultaneous increases in production and productivity. However, despite natural climate variations, which make it the most responsible for the variability of annual coffee production, the producer must increase the use of the technologies to support the Brazilian coffee agribusiness. The results of this study reveal that coffee production in Brazil is due much more to productivity than to the minimum ambient temperature change over the long term; despite this, the climate variable should be considered the most influential on the production and productivity of coffee. © 2017 Embrapa. Journal of the Science of Food and Agriculture © 2019 Society of Chemical Industry.

Anatomical changes in cherry tomato plants caused by boron deficiency

Boron is one of the micronutrients that mostly limits crop yield in Brazil, especially for tomato. When boron is deficient, there is initially growth reduction in meristematic tissues (root ends and branches), although for tomato, this behavior has not yet been characterized. The aim of this work was to characterize the effects of boron deficiency on biometric characteristics, anatomical changes and deficiency symptoms in cherry tomato plants. For this, cherry tomato plants of cultivar Sindy were cultivated in nutrient solution and submitted to two treatments: (1) complete nutrient solution; and (2) nutrient solution without boron. Sixty days after seedling transplanting, phytotechnical and anatomical characteristics of leaves, stems and roots were evaluated. Drastic anatomical changes were observed in plants deficient in boron, both in leaves and stems. Disorganized vascular bundle, as well as xylem and phloem, with atypical cellular composition was observed. The root development was also affected by boron deficiency showing elongation restriction and apical meristematic necrosis, which compromised the long distance transport in the plant. This affected mainly the inflorescence formation and consequently reduce the fruit production.

Coffee pollination and yield in Brazil

The coffee is a perennial plant of hot regions, mainly on the tropics. Its fruit is an important commodity and the second greater source of richness in the planet, losing only for the petroleum. Coffea arabica and Coffea canephora are the most economically important species. The presence of pollinators, such as bees, ensures higher productivity and grain quality, thus meeting market demand. Apis mellifera bees is considered the pollinator of greater agricultural importance in the world, due to be a generalist species and has been the most frequent in observations made in the coffee planting. Thus, in view of these aspects, the present study aims to gather data on coffee culture and its productivity in Brazil.

El Niño–Southern Oscillation and Its Impacts on Local Climate and Sugarcane Yield in Brazil

Faced with the great interference of El Nino–Southern Oscillation (ENSO) into the local climate of a given site in conjunction with agricultural systems, the current study aimed at assessing the effects of ENSO on thermal and water regimes at different Brazilian sites, as well as its impacts on sugarcane crop yield. The DSSAT CSM-CANEGRO model, parameterized under the Brazilian environmental conditions, was used to simulate sugarcane yield at four sites of different Brazilian states from 1979 to 2010 for three types of soils and two types of simulations, Seasonal and Sequence. The outcomes obtained herein pointed out that ENSO events distinctly impinged upon meteorological variables regime; however, a clear trend as to the air temperature, global solar radiation and rainfall regimes could not be noticed owing to a large variability found in the current study. With regard to sugarcane yield, some trends were observed. In Jatai, GO, no changes greater than ± 1 t ha−1 occurred. In Joao Pessoa, PB, there was a trend of lower yields during El Nino and La Nina years and higher yields during neutral years. Moreover, a contrasting scenario was envisioned in Piracicaba, SP, and Londrina, PR, where yields tended to be higher than historical average under both El Nino and La Nina events, while during neutral years, yield tended to be smaller than average.

Kinetics of Systemic Invasion and Latent and Incubation Periods of Tomato severe rugose virus and Tomato chlorosis virus in Single and Co-Infections in Tomato Plants.

Tomato severe rugose virus (ToSRV) and Tomato chlorosis virus (ToCV) are among the major viruses that affect tomato (Solanum lycopersicum) development and yield in Brazil. ToSRV and ToCV are transmitted in a persistent circulative and semipersistent manner, respectively, by the whitefly Bemisia tabaci Middle East-Asia Minor 1, considered the main vector of these viruses. In this study, the kinetics of systemic invasion and the latent and incubation periods of ToSRV and ToCV were evaluated in singly and doubly infected tomato plants. Both viruses moved systemically into tomato plants as early as 1 day after inoculation. The mean ToCV latent periods in single infections and co-infections with ToSRV were 13 and 11 days, respectively, while incubation periods in single and co-infections were, on average, 30 and 31 days, respectively. For ToSRV, the mean latent period was 7 days in single infections and 6 days in co-infections with ToCV. Incubation periods were, on average, 18 and 17 days in single and co-infections, respectively. Because latent periods for both viruses were shorter than their respective incubation periods, field-infected tomato plants may act as sources of inocula soon after infection and before onset of symptoms.

Africanized honeybee and its contribution to soybean yield in Brazil

Cultivated areas of soybean in Brazil have been increasing with each harvest and the seed market is moving in the same direction, launching new varieties every year. To increase not only planted area but also productivity, it is necessary to use technologies and use integration systems. In this study, the effect of pollination by honeybees on two soybean varieties in two consecutive years was evaluated. Three treatments were established: cages with Apis mellifera honeybees, cages without bees and free areas for insect visitation. The results showed an increase 6.45% of soybean yield in areas with free access to insect visitation. While in the cages with the introduction of Africanized honeybee colonies the increase was 13.64%. These results indicate that even in the most recent cultivars, cross pollination can show productivity gains even in an autogamous species.

Forecasting of the annual yield of Arabic coffee using water deficiency

Abstract: The objective of this work was to develop agrometeorological models for the forecasting of the annual yields of Arabic coffee (Coffea arabica), using monthly water deficits (DEFs) during the coffee cycle, in important locations in the state of Minas Gerais, Brazil. For the construction of the models, a meteorological data set spanning of 18 years and multiple linear regressions were used. The models were calibrated in high- and low-yield seasons due to the high-biennial yields in Brazil. All calibrated models for high- and low-yield seasons were accurate and significant at 5% probability, with mean absolute percentage errors ≤2.9%. The minimum forecasting period for yield is six months for southern Minas Gerais and Cerrado Mineiro. In high-yield seasons, water deficits affect more the reproductive stage of coffee and, in low-yield seasons, they affect more the vegetative stage of the crop.

EFFECT OF DIFFERENT IRRIGATION DEPTH ADJUSTMENT METHODS ON MAIZE YIELD COMPONENTS, GRAIN YIELD AND WATER USE EFFICIENCY

As the water stress is one of the main causes for the low maize yield in Brazil, this study aimed to evaluate the yield components, grain yield and the water use efficiency of maize crop submitted to different methods of irrigation depth adjustment and validate the “Lâmina” spreadsheet to recommend irrigation depth in this crop. The treatments applied were: non-use of irrigation (control); irrigation depth adjustment provided by” Lâmina” spreadsheet (Lâmina); soil moisture equivalent to actual capacity of water in the soil at 55% of the total soil water capacity (55% RWC); and soil moisture equivalent to 100% of the field capacity (100% FC). The experimental design was a randomized block design with four replications, each experimental unit consists of a plot 3 meters wide and 3 meters long. The variables analyzed were total water applied, dry matter, ears per plant, kernel rows per ear, kernels per row, kernels per ear, one thousand kernels weight, grain yield and water use efficiency. Grain yields were similar between irrigated treatments, showing significant differences compared to the control. The Lâmina and 55% RWC showed the best results for water use efficiency and yield components. The Lâmina treatment used the least amount of water, with high yields, contributing to the rational water use in irrigated agricultural systems.

Balance design for robust foliar nutrient diagnosis of \u201cPrata\u201d banana (Musa spp.)

The “Cavendish” and “Prata” subgroups represent respectively 47% and 24% of the world banana production. Compared to world average progressing from 10.6 to 20.6 t ha−1 between 1961 and 2016, and despite sustained domestic demand and the introduction of new cultivars, banana yield in Brazil has stagnated around 14.5 t ha−1 mainly due to nutrient and water mismanagement. “Prata” is now the dominant subgroup in N-E Brazil and is fertigated at high costs. Nutrient balances computed as isometric log-ratios (ilr) provide a comprehensive understanding of nutrient relationships in the diagnostic leaf at high yield level by combining raw concentration data. Although the most appropriate method for multivariate analysis of compositional balances may be less efficient due to non-normal data distribution and limited nutrient mobility in the plant, robustness of the nutrient balance approach could be improved using Box-Cox exponents assigned to raw foliar concentrations. Our objective was to evaluate the accuracy of nutrient balances to diagnose fertigated “Prata” orchards. The dataset comprised 609 observations on fruit yields and leaf tissue compositions collected from 2010 to 2016 in Ceará state, N-E Brazil. Raw nutrient concentration ranges were ineffective as diagnostic tool due to considerable overlapping of concentration ranges for low- and high-yielding subpopulations at cutoff yield of 40 Mg ha−1. Nutrient concentrations were combined into isometric log-ratios (ilr) and normalized by Box-Cox corrections between 0 and 1 which may also account for restricted nutrient transfer from leaf to fruit. Despite reduced ilr skewness, Box-Cox coefficients did not improve model robustness measured as the accuracy of the Cate-Nelson partition between yield and the multivariate distance across ilr values. Sensitivity was 94%, indicating that low yields are attributable primarily to nutrient imbalance. There were 148 false-positive specimens (high yield despite nutrient imbalance) likely due to suboptimal nutrition, contamination, or luxury consumption. The profitability of “Prata” orchards could be enhanced by rebalancing nutrients using ilr standards with no need for Box-Cox correction.

Uptake and Exportation of Micronutrients by Transgenic Cultivars of Maize Under No-tillage in the Brazilian Cerrado

Introducing cultivars of high productive potential with adequate agronomic management has contributed to the increase of maize yield in Brazil. This study aimed to characterize the extraction and exportation of micronutrients by modern maize hybrids grown in no-tillage system in the Cerrado region (Brazilian Savannah) with two fertilization levels. We established two crop environments with differentiated levels of soil fertilization, use of products for seed treatment and leaf fertilization, in which four transgenic hybrids were grown. For each environment, we used an experimental design of randomized blocks with four replicates. There were eleven plant samplings during the crop cycle to quantify dry mass production and Cu, Fe, Mn and Zn extraction. Micronutrient uptake is increased when a hybrid with higher potential for biomass production grows in an environment with greater supply of nutrients. Uptake persists throughout the maize cycle, including during the final stages of the reproductive phase, showing late demand for the crop. On average, after tasseling, about 39, 50, 42, and 49% of the total Cu, Fe, Mn and Zn absorption still occurs, respectively. Total uptake of Cu, Fe, Mn and Zn are, respectively, around 8, 199, 58 and 40 g to produce a tonne of grain, from which 23, 5, 8, and 42% are exported by the harvest. Micronutrient uptake and exportation rates for the studied transgenic hybrids are lower than the ones previously reported in Brazil and in works abroad.

Dimensioning the Impact of Irrigation on Sugarcane Yield in Brazil

Water deficit is one of the main causes of sugarcane yield limitation around the world. Sugarcane simulation models can be used to evaluate the impact of irrigation on yield where water deficit causes important losses. The aim of this study was to dimension the potential of irrigation on sugarcane yield in different Brazilian regions, by comparing yields simulated by a calibrated FAO-AZM model under rainfed and irrigated conditions, considering different levels of crop water supply. Simulations were run for 12-month plant cane yield planted every month along the year. Three different soil types with low, medium and high soil water holding capacities were considered for 29 locations in Brazil, considering a 30-year weather data series. Irrigation was applied to cover 20, 40, 60, 80 and 100% of the crop water deficit, with the highest level corresponding to full irrigation to obtain potential yield. The results showed that yield increases depend on the interaction between climate type, weather conditions, soil physical properties, planting date and level of irrigation. The soil with low water holding capacity was the one with the largest response to irrigation. On the coast of Northeastern Brazil, sugarcane planted between March and June was those which were more responsive to irrigation. On the other hand, in the producing regions in the interior of the country, the planting dates with higher responses to irrigation were between October and January. This study proved that irrigation is an important strategy to improve sugarcane yield even in the regions where irrigation is currently not recommended.

Key Soybean Maturity Groups to Increase Grain Yield in Brazil

Soybean [Glycine max (L.) Merr.] maturity group (MG) is an important concept used to determine the most suitable macroregion and edaphoclimatic region (ECR) in which soybean can best use the available resources. This classification is based on the number of days between sowing and maturation in the soybean life cycle. The MG is related to photoperiod; thus, the longer the photoperiod, the shorter the MG of cultivars must be to have an adequate life cycle. However, there is no consensus on which MGs are the most suitable for each region to improve grain yield. The objective of this study was to identify suitable soybean MGs for cultivation in the macroregions and ECRs in Brazil. During 4 yr of evaluation, grain yield data from 247 yield trials over 83 locations, encompassing four macroregions and 14 ECRs in Brazil, were used. Cultivars were grouped according to their MG for statistical analyses. Using these groups, the ideal genotypes and performance according to local analyses were determined. The best adapted and most productive cultivars were those with an intermediate MG in their predefined adaptation region (both macroregions and ECR). The maturities that performed the best in each macroregion were as follows: M1 (cultivars in MGs 5.3–5.9) M2 (cultivars in MGs 6.0–7.0), M3 (cultivars in MGs 7.1–7.9), and M4 (cultivars in MGs 7.7–8.4). A lower productivity was observed in cultivars in extreme MGs for each macroregion. Breeding program efforts should target the MGs identified as ideal for each ECR to develop cultivars with a greater chance of achieving high yields and with greater adaptability to the specific region.

Assessment of different gridded weather data for soybean yield simulations in Brazil

A high-density, well-distributed, and consistent historical weather data series is of major importance for agricultural planning and climatic risk evaluation. A possible option for regions where weather station network is irregular is the use of gridded weather data (GWD), which can be downloaded online from different sources. Based on that, the aim of this study was to assess the suitability of two GWD, AgMERRA and XAVIER, by comparing them with measured weather data (MWD) for estimating soybean yield in Brazil. The GWD and MWD were obtained for 24 locations across Brazil, considering the period between 1980 and 2010. These data were used to estimate soybean yield with DSSAT-CROPGRO-Soybean model. The comparison of MWD with GWD resulted in a good agreement between climate variables, except for solar radiation. The crop simulations with GWD and MWD resulted in a good agreement for vegetative and reproductive phases. Soybean potential yield (Yp) simulated with AgMERRA and XAVIER had a high correlation (r > 0.88) when compared to the estimates with MWD, with the RMSE of about 400 kg ha−1. For attainable yield (Ya), estimates with XAVIER resulted in a RMSE of 700 kg ha−1 against 864 kg ha−1 from AgMERRA, both compared to the simulations using MWD. Even with these differences in Ya simulations, both GWD can be considered suitable for simulating soybean growth, development, and yield in Brazil; however, with XAVIER GWD presenting a better performance for weather and crop variables assessed.

Research Article Phenotypic and predicted genetic approaches for genotype ranking of wheat seed yield in Brazil

This work was aimed at determining stability and adaptability through Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype Main Effects and Genotype Environment Interaction (GGE) methodologies, as well as to estimate and predict Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) parameters and employ them in multivariate models using wheat genotypes grown in the major wheat regions of Brazil. The trials were conducted during the 2017growing seasnon across 12 regions of Brazil, with nine wheat genotypes, arranged in three replicates. When there were significant G x E interactions, the AMMI and GGE methods were applied. The scores were represented in biplot graphs through multivariate methodology of the principal components. REML/BLUP estimates and predictions were employed in the GGE multivariate method to obtain inferences based on genetic effects, which was denominated predicted genetic GGE approach. The predicted genetic approach was superior to a phenotypic comparison to explain the effects of genotypes x environments interaction for wheat seed yield in Brazil. Specific adaptability for seed yield was established through phenotypic and genetic predicted approaches for genotypes BRS 331 and Marfimin the environment Itapeva, SP, as well as the genotype FPS Certerotoin the environment Cascavel. PR, and BRS 327 in the environment Cruz Alta, RS. The use of multivariate biometric methodologies along with the new predicted genetic approach enables reliable positioning of wheat genotypes for seed production across the main wheat regions of Brazil.

Carbon dioxide fertilization offsets negative impacts of climate change on Arabica coffee yield in Brazil

Arabica coffee production provides a livelihood to millions of people worldwide. Climate change impact studies consistently project a drastic decrease of Arabica yields in current production regions by 2050. However, none of these studies incorporated the beneficial effects that elevated CO2 concentrations are found to have on Arabica coffee yields, the so-called CO2 fertilization effect. To assess the impacts of climate change and elevated CO2 concentrations on the cultivation of Arabica coffee in Brazil, a coffee yield simulation model was extended with a CO2 fertilization and irrigation factor. The model was calibrated and validated with yield data from 1989 to 2013 of 42 municipalities in Brazil and found to perform satisfactorily in both the calibration (R 2 = 0.91, d = 0.96, mean absolute percentage error (MAPE) = 8.58%) and validation phases (R 2 = 0.96, d = 0.95, MAPE = 11.16%). The model was run for the 42 municipalities from 1980 to 2010 with interpolated climate data and from 2040 to 2070 with climate data projected by five global circulation models according to the Representative Concentration Pathway 4.5 scenario. The model projects that yield losses due to high air temperatures and water deficit will increase, while losses due to frost will decrease. Nevertheless, extra losses are offset by the CO2 fertilization effect, resulting in a small net increase of the average Brazilian Arabica coffee yield of 0.8% to 1.48 t ha−1 in 2040–2070, assuming growing locations and irrigation remain unchanged. Simulations further indicate that future yields can reach up to 1.81 t ha−1 provided that irrigation use is expanded.

Performance of modern and old, European and national potato cultivars in different environments

Abstract Little information on the comparative yield of the main potato cultivars (Solanum tuberosum subsp. tuberosum) used in Brazil is available. The objective of this study was to evaluate the performance of modern and old, European and Brazilian potato cultivars in different environments. Two experiments were carried in the field in 2013, in Brazil: in Guarapuava, in the state of Paraná, from January to April; and in Brasília, the Federal District, from August to November. Treatments consisted of six cultivars (origin, year of release): Bintje (European, 1910), Monalisa (European, 1982) and Agata (European, 1990); Baronesa (Brazilian, 1955), Catucha (Brazilian, 1995) and BRS Clara (Brazilian, 2010), arranged in complete blocks at random, with four replications, in both areas. Growth cycle, total and commercial yield (number of tubers and mass), tuber average weight and tuber dry matter content were evaluated. We observed significant differences in yield among cultivars, both in Guarapuava and in Brasilia. We also observed that increases in yield in Brazil are possible, the modern cultivars having higher yield potential than old cultivars. No significant differences in yield were detected between European and Brazilian cultivars, in none of the growing zones. We suggest that the use of imported cultivars by Brazilian potato growers is related to factors not associated to yield.

Quantitative Review of the Effects of Triazole and Benzimidazole Fungicides on Fusarium Head Blight and Wheat Yield in Brazil

Triazole and benzimidazole fungicides have been used for controlling Fusarium head blight (FHB) in wheat for over two decades. In Brazil, it was only during the last five years that uniform fungicide trials for FHB control have been established yearly, thus contributing to a new large body of fungicide efficacy data for this country. A systematic review of both peer- and non-peer-reviewed studies on chemical control conducted since 2000 in Brazil was performed. Fungicides of interest were the triazoles tebuconazole (TEBU1x and TEBU2x) and propiconazole (PROP2x), and the benzimidazole carbendazim (CARB2x). Most fungicides were applied twice, the first at early to mid-flowering and the second 7 to 10 days later. Only TEBU was tested as one or two applications, and thus four treatments were evaluated. For these fungicides, there were 35 trials reporting FHB index and 48 reporting mean yield. Network meta-analytic models were fitted to the data of the log of the means of FHB index for each fungicide and for the nontreated check. The meta-analytic estimates were used to obtain control efficacy ( ), or percent disease reduction relative to the nontreated check. The absolute mean difference ( ) in yield (kg/ha) between the fungicide-treated and the nontreated check plots was also estimated. Yield response relative to the nontreated check ( ) was also calculated based on the difference in the logs of the means of yield between fungicide-treated and nontreated check. The TEBU1x, TEBU2x, and CARB2x treatments performed similarly with regards to control efficacy (= 59%, 53% and 55%, respectively), and although better than PROP2x (47%), the difference was marginally significant. Yield response ( ) was highest for TEBU2x, ( = 558 kg/ha, = 19.2%) followed by PROP2x (497 kg/ha, 16.0%), TEBU1x (457 kg/ha, 17.3%), and CARB2x (456 kg/ha, 12.8%). For an average 2016 scenario of fungicide plus application costs (FC = $18 U.S./ha) and average wheat price (WP = $215 U.S./MT), the probability of breaking even on the financial investment in the four treatments ranged from 59 to 63%. For 140 scenarios (four fungicides) created based on the combination of five WP ($133 to 266 U.S./MT) and seven FC ($5 to 35 U.S./ha), the probability of breaking even was >50% for all but two scenarios. The information may serve as a guide for planning future trials and provides a baseline and first step toward optimizing FHB management in Brazil.

Seed treatments associated with resistance inducers for management of Pratylenchus brachyurus in soybean

Pratylenchus brachyurus is one of the main limiting factors of soybean yield in Brazil, particularly because of inefficiency of the control methods when used individually. The present study aimed to assess the effect of associated methods, using seed treatment with nematicides (ST) and resistance inducers (RI), on nematode control in soybean plant in both field and greenhouse conditions. A field assay was conducted in an infested field and nematode population was assessed at sowing, 45, 75, and 100 days after sowing and the yield measured at end of crop cycle. The experiment was repeated in greenhouse. In another experiment, that was conducted in two different periods in a greenhouse, seed treatments and resistance inducers, alone or combined, were assessed under two initial populations of P. brachyurus (low IP = 500 specimens and high IP = 2000 specimens). The treatments did not reduce the number of nematodes g−1 of root in field assay, but all seed treatments effectively controlled nematode population in the greenhouse assay. Most treatments reduced the number of nematodes g−1 of root when nematode initial population was low (IP = 500) but when initial nematode population was high (IP = 2000) combinations of treatments which includes abamectin inhibited P. brachyurus reproduction. Chemical products did not affect yield but acibenzolar-S-methyl, alone or associated with other products, generally inhibit plant growth.