Sampling representativeness of soil carbon and physiological parameters of marandu palisadegrass in a tropical silvopastoral system

• Autor(a) principal: Oliveira, Jaqueline de Cássia de
• Data de Publicação: 2021
• Outros Autores: Azevedo, Alcinei Místico, Ribeiro, Juliana Martins, Freitas, Igor Costa, Dias, Rafael Ferreira, Duarte, Ana Clara Santos, Melo, Paula Franciele, Veloso, Álvaro Luís, Frazão, Leidivan Almeida
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Scientia Agrícola (Online)
• Texto Completo: https://www.revistas.usp.br/sa/article/view/184664
• topic: Eucalyptus; MMC method; Hatheway method; forage grass; soil sampling

The sampling methods for soil and plant evaluation in integrated production systems need to be refined for their use in experiments. This study purposed a sampling representativeness model to evaluate soil carbon and physiological parameters of marandu palisadegrass intercropped with double rows of eucalyptus in a silvopastoral system in southeastern Brazil. Four transects were delimited within the silvopastoral system and the soil was sampled at 0-5, 5-10, and 10- 20 cm depths to evaluate two parameters of soil organic matter: total organic carbon (TOC) and soil microbial carbon (Cmic). We also evaluated three physiological parameters of marandu palisadegrass: stomatal conductance, transpiration rate, and photosynthetic rate. The sampling strategy was evaluated by the Hatheway and Modified Maximum Curvature (MMC) methods. We found that cultivation of the alley with forage grass and double rows of eucalyptus must be considered to ensure sampling representativeness in a silvopastoral system, once TOC and Cmic and physiological parameters showed variation within the integrated production system. The MMC method could be useful to evaluate silvopastoral systems for experiments and characterization of agricultural areas, as 11 soil samples are representative to evaluate Cmic and TOC, and 13 samples are enough to evaluate the physiological parameters in marandu palisadegrass. The Hatheway method could be applied to experiments that need higher accuracy with a reduction in the minimum difference to be detected between the treatments and a consequent increase in the number of samples to be collected.