Parameterization of the APSIM model for simulating palisadegrass growth under continuous stocking in monoculture and in a silvopastoral system

Gomes, Fagner Júnior; Bosi, Cristiam; Pedreira, B. da C. C. G.; Santos, P. M.; Pedreira, Carlos Guilherme Silveira

doi:10.1016/j.agsy.2020.102876

Cited by 13 publications

(8 citation statements)

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“…Not only agrometeorological conditions are important in understanding and predicting productive variables in pastures. Other factors such as management of mechanistic models that estimate biomass production, such as CROPGRO (Bosi et al, 2020b;Brunetti et al, 2021) and APSIM (Bosi et al, 2020a;Gomes et al, 2020), are also relevant.…”

Section: Discussionmentioning

confidence: 99%

Agrometeorological and Agronomic Characterization of Megathyrsus Grasses Cultivated in Tropical Humid and Semi-Arid Conditions: A Multivariate Approach

et al. 2022

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Variability in climatic conditions of low-latitude tropical grass cultivation can affect forage production dynamics. Pasture ecosystems are complex and preferably studied from a multifactorial point of view through multivariate approaches. Therefore, in this study, we characterized different growing conditions for grasses of the Megathyrsus genus through studies conducted in tropical humid and semi-arid conditions. We applied principal component, canonical correlation, and discriminant function analyses to the measurements of agronomic and agrometeorological variables in six studies with Guinea and Massai grasses. The principal component analysis, through the climatic characterization by the first principal component, reflects the contrast between water availability and nitrogen variables and energy supply. Agronomic characterization occurred through the distinction between the density of tillers, forage accumulation, and increase in height, versus the accumulation of stems and dead material. The canonical correlation analysis generated a correlation coefficient of 0.84 between the agronomic and agrometeorological variables. There was a contrast between the dead material accumulation and the other agronomic variables, while the agrometeorological variables showed characteristics similar to the first principal component. Discriminant function 1, with 70.36% separation power, distinguished the cultivation conditions based on the study locations. Grass cultivars were differentiated by discriminant function 2, with a 19.20% separation power. From a multivariate variability analysis, despite the similarities of radiation and temperature in the regions studied, the availability of water and nutrients and measurements of agronomic variables can aid in future modeling studies on forage production.

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Section: Discussionmentioning

confidence: 99%

Agrometeorological and Agronomic Characterization of Megathyrsus Grasses Cultivated in Tropical Humid and Semi-Arid Conditions: A Multivariate Approach

et al. 2022

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“…This model was initially parameterised for U. brizantha cv. BRS Piatã (Bosi, Sentelhas, Huth, et al, 2020), and Gomes et al (2020) performed a simple parameterisation inserting some parameter values obtained by Pezzopane et al (2018) for Marandu palisade grass.…”

Section: Introductionmentioning

confidence: 99%

“…Studies on the modelling of tropical forages grown in Brazil are still recent and need more efforts to improve the simulation results, showing the importance of studies on the parameterisation of models for these plants. The few studies performed with APSIM‐Tropical Pasture for simulating U. brizantha growth demonstrated the efficiency of this model for cut‐and‐carry systems (Bosi, Sentelhas, Huth, et al, 2020), but showed that the model, in its current form, is not able to effectively simulate grazing systems (Bosi, Sentelhas, Huth, et al, 2020; Gomes et al, 2020). These findings allowed driving future studies on APSIM‐Tropical Pasture to adapt it for simulating the effect of grazing animals on tropical pastures by adding new sub‐models and functions.…”

Section: Introductionmentioning

confidence: 99%

APSIM‐Tropical Pasture model parameterization for simulating Marandu palisade grass growth and soil water in irrigated and rainfed cut‐and‐carry systems

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Bosi

et al. 2022

Grass and Forage Science

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Pasture-based livestock systems play a significant role for Brazilian agriculture. From the Brazilian agricultural lands, 159.5 million hectares were occupied by pastures, of which 100.1 million hectares are cultivated pastures (Ibge, 2017). Urochloa brizantha is one of the most cultivated species to feed beef and dairy cattle in Brazil.Urochloa brizantha cv. Marandu, called Marandu palisade grass, is the most widely used cultivar due to its potential for forage production, superior to that of Urochloa decumbens (previously predominant spe-

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“…Os sistemas silvipastoris (SSPs), incluídos nas modalidades dos SAFs, utilizam árvores, animais e pastagens de maneira simultânea (NAIR, 2014) e funcionam como potenciais sumidouros de carbono. SSPs são SAFs que podem reduzir e compensar as emissões de GEE do setor agrícola brasileiro, principalmente por meio da integração da pecuária com as árvores plantadas (GOMES et al, 2020).…”

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Sistemas silvipastoris com eucalipto: estocagem de carbono em diferentes espaçamentos e clones

et al. 2021

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O objetivo do presente estudo foi comparar o uso de diferentes espaçamentos e clones de eucalipto na estocagem de carbono em 6 (seis) sistemas silvipastoris (SSP), localizados em Porto Firme - MG. Em campo foram utilizados experimentos contendo 6 (seis) SSP, com os clones GG100, I144, I224, híbridos de Eucalyptus grandis x Eucalyptus urophylla, nos espaçamentos de 6m x 4m e 8m x 4m, nas idades de 60 e 96 meses. O inventário florestal realizado foi do tipo censo, onde todas as árvores tiveram sua circunferência a 1,30 m de altura (CAP) mensuradas e foram separadas em classes diamétricas. O volume foi estimado baseado no modelo Spurr. A densidade da madeira foi calculada pelo método de imersão em água e o estoque de carbono pelo fator de 0,47. O material genético I224, no espaçamento de 6m x 4m, foi aquele com maior potencial de estocagem de carbono. A densidade básica para os três clones, no espaçamento de 6m x 4m, não variou estatisticamente. Porém, no espaçamento de 8m x 4m, para os materiais genéticos GG100 e I224, houve diferença. Foi possível concluir que o material genético I224, no espaçamento 6m x 4m (24 m² por planta) possui o maior potencial de estocagem de carbono e que os SSP com eucalipto contribuem para uma agricultura de baixa emissão de carbono e mitigação das mudanças climáticas.

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Parameterization of the APSIM model for simulating palisadegrass growth under continuous stocking in monoculture and in a silvopastoral system

Cited by 13 publications

References 35 publications

Agrometeorological and Agronomic Characterization of Megathyrsus Grasses Cultivated in Tropical Humid and Semi-Arid Conditions: A Multivariate Approach

Agrometeorological and Agronomic Characterization of Megathyrsus Grasses Cultivated in Tropical Humid and Semi-Arid Conditions: A Multivariate Approach

APSIM‐Tropical Pasture model parameterization for simulating Marandu palisade grass growth and soil water in irrigated and rainfed cut‐and‐carry systems

Sistemas silvipastoris com eucalipto: estocagem de carbono em diferentes espaçamentos e clones

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