CROPGRO-Perennial Forage model parameterization for simulating Piatã palisade grass growth in monoculture and in a silvopastoral system

2020 ◽  
Vol 177 ◽  
pp. 102724 ◽  
Author(s):  
Cristiam Bosi ◽  
Paulo Cesar Sentelhas ◽  
José Ricardo Macedo Pezzopane ◽  
Patricia Menezes Santos
Keyword(s):  
Silvopastoral System ◽  
Model Parameterization ◽  
Grass Growth

Microbial-N supply and milk yield cows in a silvopastoral system with and without access to the forage tree and energy supplementation during the dry season

2007 ◽  
Vol 2007 ◽  
pp. 131-131
Author(s):  
V. Valdivia ◽  
C.A. Sandoval-Castro ◽  
K. Otaduy ◽  
J.C. Ku-Vera
Keyword(s):  
Milk Yield ◽  
Dry Season ◽  
Silvopastoral Systems ◽  
Silvopastoral System ◽  
Dual Purpose ◽  
Lactating Cows ◽  
N Supply ◽  
Energy Supplementation ◽  
Grass Growth ◽  
Microbial N

Supplementation with legume fodder during the dry season is a strategy to improve animal performance. The results obtained in silvopastoral systems has been explained either by their ingestion of a higher quality grass (Hernandez et al., 2001, Iglesias, 1998) resulting from the inclusion of a legume in the system which provide N for grass growth or due to the intake of the legume itself, which in turn is also of higher quality than grass (Kakengi et al., 2001), and provides a higher microbial-N supply (Karda and Dryden, 2001). The objective of the present work was to discriminate, in a silvopastoral system, the effect of improved grass quality and legume intake (L. leucocephala) on rumen fermentation, microbial N supply, milk yield and composition of dual purpose lactating cows.

APSIM model performance in simulating Piatã palisade grass growth and soil water in different positions of a silvopastoral system with eucalyptus

2022 ◽  
Vol 195 ◽  
pp. 103302
Author(s):  
Cristiam Bosi ◽  
Neil Ian Huth ◽  
Paulo Cesar Sentelhas ◽  
José Ricardo Macedo Pezzopane
Keyword(s):  
Soil Water ◽  
Model Performance ◽  
Silvopastoral System ◽  
Grass Growth

Forage intake, milk yield and composition of cows in a silvopastoral system with and without access to the forage tree and energy supplementation during the rainy season

2007 ◽  
Vol 2007 ◽  
pp. 199-199
Author(s):  
V. Valdivia ◽  
C.A. Sandoval-Castro ◽  
K. Otaduy ◽  
J.C. Ku-Vera
Keyword(s):  
Milk Yield ◽  
Rainy Season ◽  
Silvopastoral Systems ◽  
Animal Performance ◽  
Silvopastoral System ◽  
Dual Purpose ◽  
Lactating Cows ◽  
Forage Intake ◽  
Energy Supplementation ◽  
Grass Growth

The improvement in animal performance obtained in silvopastoral systems has been explained either by their ingestion of a higher quality grass (Hernandez et al., 2001, Iglesias, 1998) resulting from the inclusion of a legume in the system which provide N for grass growth or due to the intake of the legume itself, which in turn is also of higher quality than grass. During the rainy season, animals might be able to increase selectivity and intake due to the higher availability of biomass hence possibly reducing the advantage of including a legume in the system. The objective of the present work was to discriminate in a silvopastoral system the effect of improved grass quality and legume intake on dual purpose lactating cows milk yield and composition.

Effects of incomplete parameterization on full-wavefield viscoelastic seismic data for petrophysical reservoir properties

Geophysics ◽  
2007 ◽  
Vol 72 (3) ◽  
pp. O9-O17 ◽  
Author(s):  
Upendra K. Tiwari ◽  
George A. McMechan
Keyword(s):  
Seismic Data ◽  
Input Data ◽  
Elastic Model ◽  
Quality Factors ◽  
Noise Levels ◽  
Reservoir Properties ◽  
Estimated Parameters ◽  
Model Parameterization ◽  
The Earth ◽  
Incomplete Model

In inversion of viscoelastic full-wavefield seismic data, the choice of model parameterization influences the uncertainties and biases in estimating seismic and petrophysical parameters. Using an incomplete model parameterization results in solutions in which the effects of missing parameters are attributed erroneously to the parameters that are included. Incompleteness in this context means assuming the earth is elastic rather than viscoelastic. The inclusion of compressional and shear-wave quality factors [Formula: see text] and [Formula: see text] in inversion gives better estimates of reservoir properties than the less complete (elastic) model parameterization. [Formula: see text] and [Formula: see text] are sensitive primarily to fluid types and saturations. The parameter correlations are sensitive also to the model parameterization. As noise increases in the viscoelastic input data, the resolution of the estimated parameters decreases, but the parameter correlations are relatively unaffected by modest noise levels.

A Trojan horse approach for white mold biocontrol: Paraconiothyrium endophytes promotes grass growth and inhibits Sclerotinia sclerotiorum

2021 ◽  
pp. 104685
Author(s):  
Natálie Martins Alves ◽  
Rafaela Araújo Guimarães ◽  
Sarah Silva Costa Guimarães ◽  
Amanda Frausino Faria ◽  
Ítalo Augusto Férrer Melo Santos ◽  
...  
Keyword(s):  
Sclerotinia Sclerotiorum ◽  
Trojan Horse ◽  
White Mold ◽  
Grass Growth

scholarly journals A Review of SWAT Model Application in Africa

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1313
Author(s):  
George Akoko ◽  
Tu Hoang Le ◽  
Takashi Gomi ◽  
Tasuku Kato
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Resources ◽  
Hydrological Modeling ◽  
Assessment Tool ◽  
Swat Model ◽  
Data Availability ◽  
Mitigation Measures ◽  
Model Parameterization ◽  
Basin Scale

The soil and water assessment tool (SWAT) is a well-known hydrological modeling tool that has been applied in various hydrologic and environmental simulations. A total of 206 studies over a 15-year period (2005–2019) were identified from various peer-reviewed scientific journals listed on the SWAT website database, which is supported by the Centre for Agricultural and Rural Development (CARD). These studies were categorized into five areas, namely applications considering: water resources and streamflow, erosion and sedimentation, land-use management and agricultural-related contexts, climate-change contexts, and model parameterization and dataset inputs. Water resources studies were applied to understand hydrological processes and responses in various river basins. Land-use and agriculture-related context studies mainly analyzed impacts and mitigation measures on the environment and provided insights into better environmental management. Erosion and sedimentation studies using the SWAT model were done to quantify sediment yield and evaluate soil conservation measures. Climate-change context studies mainly demonstrated streamflow sensitivity to weather changes. The model parameterization studies highlighted parameter selection in streamflow analysis, model improvements, and basin scale calibrations. Dataset inputs mainly compared simulations with rain-gauge and global rainfall data sources. The challenges and advantages of the SWAT model’s applications, which range from data availability and prediction uncertainties to the model’s capability in various applications, are highlighted. Discussions on considerations for future simulations such as data sharing, and potential for better future analysis are also highlighted. Increased efforts in local data availability and a multidimensional approach in future simulations are recommended.

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