Soil attributes of a silvopastoral system in Pernambuco Forest Zone

Lima, Hugo N.B.; Dubeux, José C. B.; Santos, Mércia Virgínia Ferreira dos; Mello, Alexandre Carneiro Leão de; Lira, M. A.; Cunha, Márcio Vieira da

doi:10.17138/tgft(5)15-25

Cited by 13 publications

(4 citation statements)

References 5 publications

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“…In addition, du Toit et al (2009) concluded that high stocking rates not only reduced water infiltration rate in the soil but also affected soil bulk density in an area dominated by mixed vegetation of grasses and shrubs in South Africa. Therefore, in many cases animal trampling is considered one of the main causes of the negative trends on soil water infiltration in pasture (Lima et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

“…Changes in bulk density, soil porosity, soil compaction, water infiltration rate, organic C and aggregate stability, and root resistance to soil penetration in soil (Kurz et al, 2006; Ibáñez et al, 2007; Bell et al, 2011; Lima et al, 2018) interfere with root growth and development. Nitrogen fertilization is another factor that can modify plant growth, promoting greater biomass production and nutrient assimilation (Lee et al, 2017), besides increasing C storage in the soil (Silveira et al, 2013; da Silva et al, 2015).…”

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confidence: 99%

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Soil and Root Attributes in Pastures Managed under Different Stocking Rates and Nitrogen Fertilization Levels

Silva

Dubeux

Silveira

et al. 2019

Agrosystems Geosci & Env

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Core Ideas Grassland is a widespread agroecosystem in the globe; however, not enough attention has been given to link grazing management to soil health. Grazing management practices greatly impact soil quality. Moderate stocking rate are more adequate to keep grassland stability. Pasture management affects soil physical–chemical properties and root depth distribution. Adjusting grazing pressure and N fertilization are key management tools affecting these responses. This study evaluated the effect of N fertilization and stocking rate (SR) on soil physical and chemical attributes and root depth distribution in grazed elephantgrass (Pennisetum purpureum Schum. cv. 381) pastures (2009 and 2010). Treatments consisted of three SR (2.0, 3.9, and 5.8 AU ha−1; 1 AU = animal unit = 450 kg body weight) and three N doses (0, 150, and 300 kg N ha−1 yr−1) on elephantgrass pastures. Response variables included soil bulk density (BD), particle density (PD), total porosity (TP), aggregate stability (AS), water infiltration rate (WIR), light fraction of soil organic matter (LF‐SOM), soil fertility, root length density (RLD), and root biomass. Increased SR resulted in greater BD. Soil bulk density ranged from 1.42 to 1.58 g cm−3 for SR ranging from 2.0 to 5.8 AU ha−1, respectively. The C concentration of the LF‐SOM decreased with increasing SR, ranging from 383 to 174 mg C kg−1 soil. Soil fertility, RLD, and the stock of C and N in the root system varied among soil layers. At the end of 2 yr, SR and N fertilization did not affect TP, WIR, and AS nor influenced soil fertility and root system distribution. Overgrazing led to soil compaction and reduced LF‐SOM, indicating a trend of pasture degradation. Moderate SR resulted in greater LF‐SOM, indicating a positive trend for C accumulation in the long term.

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Section: Resultsmentioning

confidence: 99%

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confidence: 99%

Soil and Root Attributes in Pastures Managed under Different Stocking Rates and Nitrogen Fertilization Levels

Silva

Dubeux

Silveira

et al. 2019

Agrosystems Geosci & Env

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“…Nutrient deficits -mainly, nitrogen and phosphorus -are considered as the main causes of pasture decline (BODDEY et al, 2004). To maintain sustainable animal production, fertilizers are required, but alternatively nitrogen can be supplied by tree, shrub or forage legumes (MUIR et al, 2014;LIMA et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Deposition and decomposition of litter in periods of grazing and rest of a tropical pasture under rotational grazing

et al. 2019

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The objectives of this study were to determine the rates of plant litter deposition and decomposition in Marandu pastures (Urochloa brizantha cv. Marandu) under a) three forms of nitrogen (N) supply, b) at different stages of rotational grazing and c) to compare the single-exponential decay constant (‘k’) derived from litterbags with values derived from estimates of deposited and existing litter (DEL technique). The three N supply treatments were: without or with N fertilization (zero or 150 kg N ha-1 yr-1) or with the legume Desmodium ovalifolium. There were no significant differences (p<0.05) between existing litter and rates of litter deposition and decomposition between the three N supply treatments. The litter decomposition rate was estimated using the DEL technique for the 7-day grazing periods and two subsequent 14-day periods in each 35-day grazing cycle. The litter decomposition rate was (P<0.05) higher for the second rest period (days 21 to 35) at 0.089 g g-1 day-1, than for the grazing period (0.038 g g-1 day-1) and for the first rest period (0.040 g g-1 day-1). The mean half-life of the litter was 12 days using the DEL technique while the estimate from the litterbags was 136 days. Results showed that estimates provided by litterbags severely underestimate the decomposition in relation to the DEL technique and predict a long-term accumulation of litter which is not observed.

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“…The difference in the simulation accuracy among the zones suggests that different soil parameters should be used for zones closer to the trees. The tree roots have the potential to accelerate the rate of soil water infiltration (Lima et al, 2018), also the evapotranspiration near the trees is potentially higher than the zones farther from the tree trunk . On top of that, during the dry season, the soil water content may become relatively lower near the trees (Crestani et al, 2017).…”

Section: Soil Water Simulationmentioning

confidence: 99%

APSIM - Tropical Pasture parameterization for biomass production, light and water competition in a silvopastoral system with >i<B. brizantha>/i< cv. Piatã and >i<E. urograndis>/i<

Balcão¹

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Dados Internacionais de Catalogação na Publicação DIVISÃO DE BIBLIOTECA -DIBD/ESALQ/USP Balcão, Lucas Fillietaz APSIM -Tropical Pasture parameterization for biomass production, light and water competition in a silvopastoral system with B. brizantha cv. Piatã and E. urograndis / Lucas Fillietaz Balcão. --versão revisada de acordo com a resolução CoPGr 6018 de 2011. --Piracicaba, 2021. 79 p. Tese (Doutorado) --USP / Escola Superior de Agricultura "Luiz de Queiroz". 1. Sistema silvipastoril 2. Radiação fotossinteticamente ativa 3. Modelagem de processos I. Título ABSTRACT APSIM -Tropical Pasture parameterization for biomass production, light and water competition in a silvopastoral system with B. brizantha cv. Piatã and E. urograndisThe SSP are characterised by associating trees with herbaceous forages in the same area with the presence of animals. In general, the prognosis about productivity is correlated with meteorological variables, such as air temperature and precipitation. To estimate the productive capacity of agricultural systems, mathematical modelling can be used. The present work aims to parameterise the APSIM model (Agricultural Production Systems sIMulator) to estimate the production of forage biomass in a SSP, as well as the competition for light and water. In the first stage, a field experiment was carried out in a silvopastoral system, where microclimate data were collected, of forage production and soil moisture. The experimental design was completely randomised with repeated measures over time. Forage production was analysed in relation to microclimate variables. A multiple factor analysis (AFM) was performed to verify which micrometeorological variables have a greater participation in the variability of the results. Based on this information, the APSIM model was parameterized in relation to the growth of forage plants.To evaluate the efficiency of the model, multiple linear regression analyses and coefficient of determination (R2), Nash-Sutclif Efficience (NSE), mean error (EM) and mean absolute error (EAM) were used. The APSIM-Slurp model simulated well the light interception (R² = 0.64 NSE = 0.60). APSIM-Tropical Pasture model showed a good performance to simulate pasture biomass (R² = 0.90 NSE = 0.72), leaf (R² = 0.82 NSE = 0.44), stem (R² = 0.82 NSE = 0.75) and an acceptable performance for pasture leaf area index (R² = 0.76 NSE = 0.58).

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Soil attributes of a silvopastoral system in Pernambuco Forest Zone

Cited by 13 publications

References 5 publications

Soil and Root Attributes in Pastures Managed under Different Stocking Rates and Nitrogen Fertilization Levels

Soil and Root Attributes in Pastures Managed under Different Stocking Rates and Nitrogen Fertilization Levels

Deposition and decomposition of litter in periods of grazing and rest of a tropical pasture under rotational grazing

APSIM - Tropical Pasture parameterization for biomass production, light and water competition in a silvopastoral system with >i<B. brizantha>/i< cv. Piatã and >i<E. urograndis>/i<

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