Crop rotation and sequence effects on temporal variation of CO2 emissions after long-term no-till application

Xavier, Clariana Valadares; Moitinho, Mara Regina; Teixeira, Daniel De Bortoli; Santos, Gustavo André de Araújo; Corá, José Eduardo; Scala, Newton La

doi:10.1016/j.scitotenv.2019.136107

Cited by 7 publications

(3 citation statements)

References 46 publications

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“…Comparing our results with emission from other studies, it is noted that the CO 2 emission in soybean seasons from our study were similar to the soybean under NT in a gray Luvisol with crop residue on soil surface [50]. In an Oxisol with soybean-maize rotations under NT with winter crops (1.29 to 1.53 Mg ha −1 of residue), a slight lower CO 2 flux were observed [51]. According to the authors the crop residue affects soil temperature and moisture and consequently the CO 2 emission.…”

Section: Co 2 Emissionssupporting

confidence: 83%

Soil carbon fluxes and balances of crop rotations under long-term no-till

Rigon

Calonego

2020

Carbon Balance Manage

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Background A field study with the same crop rotations was conducted to test the hypothesis that the soil Carbon fluxes and balances could vary according to the crop species and also mitigate carbon dioxide (CO2) emission. This study aimed to assess the CO2 emission from crop rotations according to C and N inputs from crop residue, the influences on soil organic carbon (SOC) and total soil nitrogen (TN) stocks, identifying the soybean production systems with positive C balance. Triticale (x Triticosecale) or sunflower (Helianthus annuus) are grown in the fall/winter; sunn hemp (Crotalaria juncea), forage sorghum (Sorghum bicolor), pearl millet (Pennisetum glaucum), or fallow are the spring treatments, and soybean as a main crop in summer. Results We found that high C inputs from crop residues modify the C dynamics in crop rotations by reducing the C output (CO2) and increasing C sequestration in the soil. In general, the higher SOC, C stocks, and TN in soil surface were due to higher C and N inputs from sunn hemp or forage sorghum crop residues in spring. These crops also produced lower accumulated CO2 emissions and, when rotating with triticale in the fall-winter season resulted in a positive C balance, making these soybean crop rotations more efficient. Conclusion Our study suggests the ideal crop species choice in a rotation can mitigate the CO2 emissions by increasing C and N input from crop residues and consequently SOC and C stocks. In particular, crop rotation comprises an important tool to achieve a positive C balance, mitigate CO2 emissions and provide an additional ecosystem service to soybean cultivation option.

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Section: Co 2 Emissionssupporting

confidence: 83%

Soil carbon fluxes and balances of crop rotations under long-term no-till

Rigon

Calonego

2020

Carbon Balance Manage

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“…The maintenance of no-tillage system for long periods provides conditions to avoid variations in FCO 2 , affecting it only when the soil moisture varies (Xavier et al 2020).…”

Section: Resultsmentioning

confidence: 99%

Grass-legume intercropping systems in rotation with soybean crops: C and N stocks and CO 2 and NH 3 emissions

Pinaffi

Moreira

Mignacca

et al. 2023

Preprint

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Understanding factors that contribute to carbon dioxide (CO2) losses and ammonia (NH3) volatilization in agricultural soils, mainly in sandy soils, is essential for determining strategies to decrease emissions of these gases and improving carbon (C) and nitrogen (N) stocks in the soil. The objective of this study was to quantify C and N inputs to the soil and CO2 and NH3 emissions in a crop-livestock integration system composed of pastures with grass-legume intercropping and N fertilizer application. The experiment was carried out in a Typic Hapludox, evaluating three consecutive soybean crops grown in rotation with the following pasture systems: mombaca grass (Panicum maximum cv. Mombaca) with N fertilizer (M + N); mombaca grass without N fertilizer (M-N); mombaca grass intercropped with the forage legume pigeon pea (Cajanus cajan) (M + G); and mombaca grass intercropped with the forage legume java (Macrotyloma axillare cv. Java) (M + J). Soil samples were collected at the beginning and end of each crop and analyzed for total C (TCS) and N (TNS) stocks. NH3 volatilization and CO2 emissions were evaluated every 15 days, with simultaneous evaluations of soil moisture and temperature. Soybean rotation with grass-legume intercropping or grass with mineral fertilizer application improved N and C inputs to the agricultural systems, although there were losses in CO2 and NH3. The M + G and M + J intercrops after soybean crops increased NH3 volatilization, whereas the use of M + N tended to decrease it. The soil moisture affected the C and N input-output balance in the production systems evaluated.

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“…For the summer, there was either monoculture of maize (Zea mays L.) (MM) or soybean (Glycine max L.) (SS), and maize was the winter crop. For more information on the crop treatments and experimental design, consult Marcelo et al, (2009), De Araújo and Xavier et al, (2020).…”

Section: Location and Characterization Of The Experimental Areamentioning

confidence: 99%

Simulating Crop Yield, Soil Nitrogen, and Organic Carbon in No-Tillage Crop Sequences in a Subtropical Climate in Brazil

Silva

Santos

et al. 2020

Eng. Agríc.

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Brazil stands out worldwide for its high grain production in areas of direct sowing. The objective of this study was to simulate and assess the relationship of soil organic carbon content and nitrogen, crop yield, and biomass of two crop sequences under the no-tillage system in a subtropical region of São Paulo, Brazil, using CSM-CROPGRO-Soybean and CSM-CERES-Maize models. The modeling was carried out considering the meteorological conditions of Jaboticabal, SP, Brazil. The treatments consisted of combining two summer crops (maize and soybean) with maize cultivation as a winter crop. The average biomass and productivity for corn were 15594 kg ha −1 and 5996 kg ha −1 , respectively, and for soybeans they were 5905 kg ha −1 and 3441 kg ha −1 , respectively. For soil organic carbon and nitrogen, a small variation was observed between years, and in addition there was a decline in their levels after a year with low biomass production. In our study, the RMSE and MAPE values between the observed and simulated productivity by the model were 2.21 kg ha −1 and 44.24%, respectively. The analysis of main components for the cultivation of corn explained 83.9% of the variability, and for the cultivation of soy, 93.5%. Among the tested models, the CROPGRO was the one with the best accuracy.

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Crop rotation and sequence effects on temporal variation of CO2 emissions after long-term no-till application

Cited by 7 publications

References 46 publications

Soil carbon fluxes and balances of crop rotations under long-term no-till

Soil carbon fluxes and balances of crop rotations under long-term no-till

Grass-legume intercropping systems in rotation with soybean crops: C and N stocks and CO 2 and NH 3 emissions

Simulating Crop Yield, Soil Nitrogen, and Organic Carbon in No-Tillage Crop Sequences in a Subtropical Climate in Brazil

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