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Estimation of nutrients and organic matter in Korean swine slurry using multiple regression analysis of physical and chemical properties.

Abstract：

:Swine waste land application has increased due to organic fertilization, but excess application in an arable system can cause environmental risk. Therefore, in situ characterizations of such resources are important prior to application. To explore this, 41 swine slurry samples were collected from Korea, and wide differences were observed in the physico-biochemical properties. However, significant (P<0.001) multiple property correlations (R²) were obtained between nutrients with specific gravity (SG), electrical conductivity (EC), total solids (TS) and pH. The different combinations of hydrometer, EC meter, drying oven and pH meter were found useful to estimate Mn, Fe, Ca, K, Al, Na, N and 5-day biochemical oxygen demands (BOD₅) at improved R² values of 0.83, 0.82, 0.77, 0.75, 0.67, 0.47, 0.88 and 0.70, respectively. The results from this study suggest that multiple property regressions can facilitate the prediction of micronutrients and organic matter much better than a single property regression for livestock waste.

journal_name

Bioresour Technol

journal_title

Bioresource technology

authors

Suresh A,Choi HL

doi

10.1016/j.biortech.2011.06.087

subject

Has Abstract

pub_date

2011-10-01 00:00:00

pages

8848-59

issue

19

eissn

0960-8524

issn

1873-2976

pii

S0960-8524(11)00914-X

journal_volume

102

pub_type

杂志文章

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