Sigmoid models in the description of CO₂ evolved from legumes in the soil

IF 0.1 Q4 AGRONOMY Revista Agrogeoambiental Pub Date : 2023-10-06 DOI:10.18406/2316-1817v15nunico20231776
Edilson Marcelino Silva, Ariana Campos Frühauf, Édipo Menezes da Silva, Joel Augusto Muniz, Tales Jesus Fernandes
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Abstract

The decomposition of legumes in the soil over time can be described by nonlinear sigmoid models. Thus, this study aimedto describe and to compare the fit of the nonlinear sigmoid models, Logistic and Gompertz, to the CO2 mineralization of fourlegume species over time in the soil, and indicate the most suitable model. Furthermore, it is also proposed to evaluate the CO2mineralization of legumes from two different edaphoclimatic conditions when added to the soil under controlled temperatureand humidity conditions. The following legume species used in green manure were evaluated: Arachis pintoi (forage peanut),Calopogonium mucunoides (calopo), Stylosanthes guianensis (Caribbean stylo), and Stizolobium aterrimum (mucuna). Arandomized block design with four replications was used. The soils from both areas are classified as Red-Yellow Latosol andhave a clayey texture. The mineralized carbon was measured at 48, 96, 144, 192, 240, 312, 384, and 480 hours fromthe beginning of incubation. Legumes in different locations had the same amount of potentially mineralizable carbon, andmicroorganisms had the same adaptation time to reach the maximum decomposition rate. The maximum decompositionrate occurs at the beginning of mineralization, and therefore the Gompertz model was more suitable than the Logistic modelin describing the decomposition of the four legumes in the soil.
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描述土壤中由豆科植物进化而来的二氧化碳的s形模型
豆科植物在土壤中随时间的分解可以用非线性s型模型来描述。因此,本研究旨在描述和比较非线性s型模型Logistic和Gompertz对土壤中四豆科植物物种随时间变化的CO2矿化的拟合,并指出最合适的模型。此外,还提出了在控制温度和湿度的条件下,对两种不同气候条件下的豆科植物添加到土壤中的co2矿化进行评价。对绿肥中使用的豆科植物进行了评价:花生(Arachis pintoi)、粘花生(Calopogonium mucunoides)、柱花草(Stylosanthes guianensis)和粘花生(Stizolobium aterrimum)。采用随机区组设计,共4个重复。这两个地区的土壤都被归类为红黄红壤,具有粘土质地。矿化碳在孵育开始后48、96、144、192、240、312、384和480小时测量。不同地点的豆科植物具有相同的潜在矿化碳量,微生物达到最大分解速率的适应时间相同。土壤中4种豆科植物的最大分解速率发生在矿化初期,因此Gompertz模型比Logistic模型更适合描述土壤中4种豆科植物的分解。
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审稿时长
53 weeks
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