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dc.contributor.authorMartinez-Suller, L.*
dc.contributor.authorProvolo, G.*
dc.contributor.authorBrennan, Denis D.*
dc.contributor.authorHowlin, T.*
dc.contributor.authorCarton, Owen T.*
dc.contributor.authorLalor, Stanley T. J.*
dc.contributor.authorRichards, Karl G.*
dc.date.accessioned2012-09-24T11:06:33Z
dc.date.available2012-09-24T11:06:33Z
dc.date.issued2010
dc.identifier.citationA note on the estimation of nutrient value of cattle slurry using easily determined physical and chemical parameters. L. Martínez-Suller, G. Provolo, D. Brennan, T. Howlin, O.T. Carton, S.T.J. Lalor and K.G. Richards. Irish Journal of Agricultural and Food Research, vol. 49, no. 1, (2010), pp93-97.en_GB
dc.identifier.issn0791-6833
dc.identifier.urihttp://hdl.handle.net/11019/171
dc.descriptionpeer-revieweden_GB
dc.description.abstractThe composition of cattle slurries can vary greatly due to factors such as farm management, meteorology, animal diet and housing system. Thus, when spread on land, the precise fertiliser value is usually unknown. In this study, 41 samples of cattle slurry from farms in Co. Wexford, were analysed for electrical conductivity (EC), pH, and for concentrations of dry matter (DM), total Kjeldahl N, total P and total K. Correlations between physico-chemical properties (pH, EC, DM) and nutrient concentration showed that DM and EC could be used to estimate nutrient concentration. Generally, DM was the best estimator of N (R2 0.75) and P (R2 0.82), while EC was the best estimator of K (R2 0.73). EC was also highly correlated with N concentration (R2 0.67). The proportion of variation accounted did not substantially increase when multiple regression was used.en_GB
dc.language.isoenen_GB
dc.publisherTeagascen_GB
dc.relation.ispartofseriesIrish Journal of Agricultural and Food Research;vol. 49
dc.subjectcattle slurryen_GB
dc.subjectnitrogenen_GB
dc.subjectphosphorusen_GB
dc.subjectphysico-chemical propertiesen_GB
dc.subjectpotassiumen_GB
dc.titleA note on the estimation of nutrient value of cattle slurry using easily determined physical and chemical parametersen_GB
dc.typeArticleen_GB
dc.identifier.rmis5191
dc.identifier.rmis5728
refterms.dateFOA2018-01-12T07:35:54Z


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