Assessment of economic returns by using a central pivot system to irrigate common beans during the rainfed season in Central Brazil

Justino, Ludmilla Ferreira; Júnior, José Alves; Battisti, Rafael; Heinemann, A. B.; Leite, Caio Vinícius; Evangelista, Adão Wagner Pêgo; Casaroli, Derblai

doi:10.1016/j.agwat.2019.105749

Cited by 17 publications

(8 citation statements)

References 14 publications

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“…Root growth is an interesting trait, for it can be obtained through the improvement of chemical and physical soil characteristics . Irrigation can be used to improve yield (Pilau et al 2018;Justino et al 2019), a condition that has already been used in Cristalina (GO) and Barreiras (BA) for other crops.…”

Section: Resultsmentioning

confidence: 99%

Assessment of agricultural efficiency and yield gap for soybean in the Brazilian Central Cerrado biome

et al. 2021

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Soybean is the main crop grown in Brazil and is important to quantify the capacity of increase in yield by crop production intensification and management. This study aims to quantify yield gap and agricultural efficiency (AE) for soybean in Central Cerrado biome, Brazil. Yield gap by management (YG MG) and water deficit (YG WD) and AE and climate efficiency (CE) were calculated based on potential (PoY), attainable (AtY) and actual (AcY) yields. Potential yields and AtY were simulated for the main sowing date, ranging from Oct 11 to Nov 01, using the agroecological zone crop model, from 1980/81 to 2016/17 growing seasons. The sites were Rio Verde (GO), Cristalina (GO), Barreiras (BA) and Peixe (TO). Actual yield was obtained from official statistics for each site. Agricultural efficiency rate for this period and its relationship with CE were analyzed. The YG MG were 4,345, 3,446, 4,531 and 2,649 kg•ha-1 for Rio Verde, Cristalina, Peixe and Barreiras, respectively. Barreiras had a higher YG WD when compared with other sites, reaching a mean of 6,526 kg•ha-1. However, Barreiras had a higher AE (51%), indicating that crop management applied in this region can explore the environmental conditions more than other sites. Agricultural efficiency showed an increasing rate from 0.70 to 1.21% per year, while the relation between AE and CE fitted an exponential negative function, by which higher water volume available reduced AE. Thus, it is possible to double soybean yield through improvements in management based on AtY (7,409 kg•ha-1) and AcY (3,260 kg•ha-1) in Central Cerrado biome, Brazil.

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Section: Resultsmentioning

confidence: 99%

Assessment of agricultural efficiency and yield gap for soybean in the Brazilian Central Cerrado biome

et al. 2021

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“…Previous studies for MATOPIBA did not evaluate irrigation as an alternative management to reduce climate risk under future climates (da Silva et al, 2020(da Silva et al, , 2021. Irrigation management can be used to reduce the agricultural production risk (Woznicki et al, 2015;Justino et al, 2019), mainly in the future period 2041-2070 under both RCP 2.6 (optimistic) and 8.5 (pessimist) in current and new growing areas, as east border and region of lower altitude, both with low growing intensity. Further, management strategies can be explored to offset the negative impacts of climate change, including the interaction of sowing dates, maturity groups and plant densities (Choi et al, 2016;Sampaio et al, 2021), improvement of soil management to increase root depth to access soil water (Battisti and Sentelhas, 2017), changes in crops and production systems (Labeyrie et al, 2021), and reducing yield gaps by sub-optimal management in favorable climate growing seasons (Battisti et al, 2018b;Santos et al, 2021b).…”

Section: Discussionmentioning

confidence: 99%

Climate change impacts on rainfed and irrigated soybean yield in Brazil’s new agricultural frontier

Fernandes

Melo

Elli

et al. 2021

Theor Appl Climatol

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Climate is one of the main limiting factors for agricultural productivity, where climate change may increase the risk for food production. Based on that, the aim of this study was to evaluate the impacts of climate change on rainfed and irrigated soybean yield in the MATOPIBA region, the new agricultural frontier in Brazil. The DSSAT CSM-CROPGRO-Soybean was used to simulate rainfed and irrigated yield using local soils, sowing dates, and maturity groups. The simulations included the baseline , and two future scenarios (2011-2040 and 2041-2070) for two representative concentration pathways (RCP 2.6 and 8.5). The future climate scenarios were obtained from global climate models (HadGEM2-ES and CSIRO mk3-6-0). The baseline showed a median yield of 3907 kg ha −1 across the region, a value that increased to 4006 kg ha −1 in the RCP 8.5 in 2011-2040. For the 2041-2070 period, RCPs 2.6 and 8.5 had a yield reduction to 3686 and 2388 kg ha −1 , respectively. The average yield reduction was higher than 23% under RCP 8.5 , reaching more than 53% in some areas. The yield impact in future climate scenarios was related to rainfall reduction by 300-400 mm cycle −1 , and temperature increased above 3 °C. The irrigation showed potential to offset negative climate change impacts, where yield gain was 2400 kg ha −1 under RCP 8.5. The future climate impact can be reduced by moving soybean crops preferentially to areas of higher altitude, with lower air temperature associated with irrigation. Further studies could explore potential adaptations related with physiological traits and crop management.

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“…Mathematical models that simulate growth and yield of agricultural crops are important tools for decision making (Caetano and Casaroli 2017;Ferreira et al 2019;Battisti et al 2020;Caetano et al 2021). The use of estimated weather data has been widely used, improving its degree of accuracy more and more (Jha et al 2019; Dubrovsky et al 2020).…”

Section: Introductionmentioning

confidence: 99%

The impact of gridded weather database on soil water availability in rice crop modeling

Menezes

Casaroli

Heinemann³

et al. 2022

Theor Appl Climatol

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In recent years, there has been an increase in studies suggesting that gridded weather database (GWD) is a suitable source for simulating crop yield. Brazil has low geospatial coverage by measured weather database (MWD). Based on that, this study aimed to compare two different GWD sources, Daily Gridded (DG) and NASA/POWER (NP), on the simulated yield of upland rice (UR) against the MWD input. The GWD and MWD were obtained for seven locations across UR Brazilian region, considering a period ranging from 1984 to 2016. GWD and MWD were used to estimate rice potential (Yp) and attainable yield (Ya), in clay soil and sandy soil, using ORYZA (v3) model. DG had the best performance for all variables. GWD-based yields had a reasonable performance. However, DG had a slightly better performance than NP in all conditions, DG-based yields showed RMSE values of 0.57, 0.71 and 0.52 for Yp and Ya in clay and sandy soil, whereas NP showed RMSE values of 0.86, 0.91 and 0.64. DG also showed higher R² and d values for yields assessed. Both GWD overestimated Ya, these overestimations in DG-based yield were 3.54, 9.61, and 21.35% for Yp and Ya in clay and sandy soil respectively, in NP-based yield were 13.67, 18.45, 29.11%, showing that for both GWD-based yield increased as the soil type texture as well as water storage decreased. As a consequence, we do not recommend the use of precipitation data in daily timestep crop modeling.

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Assessment of economic returns by using a central pivot system to irrigate common beans during the rainfed season in Central Brazil

Cited by 17 publications

References 14 publications

Assessment of agricultural efficiency and yield gap for soybean in the Brazilian Central Cerrado biome

Assessment of agricultural efficiency and yield gap for soybean in the Brazilian Central Cerrado biome

Climate change impacts on rainfed and irrigated soybean yield in Brazil’s new agricultural frontier

The impact of gridded weather database on soil water availability in rice crop modeling

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