Organic phosphorus fractions in soil fertilized with cattle manure

• Autor(a) principal: Braos, Lucas Boscov [UNESP]
• Data de Publicação: 2015
• Outros Autores: Pessoa da Cruz, Mara Cristina [UNESP], Ferreira, Manoel Evaristo [UNESP], Kuhnen, Fernando [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832015000100140&lng=en&nrm=iso&tlng=en; http://hdl.handle.net/11449/129159
• topic: Labile organic P; Moderately labile organic P; Non-labile organic P; Resin P

Inorganic phosphorus (Pi) usually controls the P availability in tropical soils, but the contribution of organic P (Po) should not be neglected, mainly in systems with low P input or management systems that promote organic matter accumulation. The aims of this study were to evaluate the changes in the Po fractions over time in soil fertilized and not fertilized with cattle manure and to correlate Po forms with available P extracted by anion exchange resin. The experiment was carried out under field conditions, in a sandy-clay loam Haplustox. The experimental design was a 2 x 9 randomized complete block factorial design, in which the first factor was manure application (20 t ha(-1)) or absence, and the second the soil sampling times (3, 7, 14, 21, 28, 49, 70, 91, and 112 days) after manure incorporation. Labile, moderately labile and non-labile Po fractions were determined in the soil material of each sampling. Manure fertilization increased the Po levels in the moderately labile and non-labile fractions and the total organic P, but did not affect the Po fraction proportions in relation to total organic P. On average, 5.1 % of total Po was in the labile, 44.4 % in the moderately labile and 50.5 % in the non-labile fractions. Available P (resin P) was more affected by the manure soluble Pi rather than by the labile Po forms. The labile and non-labile Po fractions varied randomly with no defined trend in relation to the samplings; for this reason, the data did not fit any mathematical model.