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Plant-Based Biogas Production for Improved Nutrient Management ...

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Hansen et al. (2005) reported that the residual effect of a harvested<br />

clover-grass ley was larger following first-year ley than following secondyear<br />

ley, but the opposite was found by Granstedt & L-Baeckström (2000).<br />

Hansen et al. (2005) attributed the reduced effect to organic N being easier<br />

to mineralise if <strong>for</strong>med more recently. This was indeed also observed by<br />

Granstedt & L-Baeckström (2000), as the third-year ley had a substantially<br />

lower first-year residual N effect than the second-year ley although a larger<br />

amount of N was incorporated with the third-year ley. The explanation was<br />

not only to be found in a lower N concentration due to reduced clover<br />

content, but also to the fact that the third-year ley had a humification<br />

coefficient of 0.4, in comparison with 0.35 <strong>for</strong> harvested first- and secondyear<br />

leys. Similarly, Granstedt (1995) was able to predict the first-year<br />

apparent N mineralisation from different one-year green manure crops by<br />

using a humification coefficient of 0.35.<br />

In conclusion, factors of importance <strong>for</strong> residual N effects include:<br />

o species<br />

o N-concentration<br />

o time of incorporation<br />

o harvested ley or green manure ley<br />

o age of ley<br />

1.2.3 Calculation of N use efficiency, residual effect and fertiliser value<br />

<strong>Nutrient</strong> efficiency can be expressed in several ways depending on the main<br />

focus of the study (Weih et al., 2011). For practical farming or advisory<br />

service organisations, mineralisation of crop residues needs to be translated<br />

into some expression of fertiliser value. The literature contains a mix of<br />

different ways to evaluate fertiliser value. For example, Schröder et al. (1997)<br />

evaluated the first-year fertiliser value of cover crops by their effect on: (1)<br />

economic optimum N rates; (2) marketable yield; and (3) N yield when no<br />

mineral fertiliser N was supplied. In a split-plot experiment with cover crops<br />

and a control without cover crop as main plots, five N fertiliser levels<br />

(including a 0-level) were applied to the following crop in sub-plots. This is<br />

an unusually ambitious way of studying residual N effect, but it showed that<br />

the N fertiliser value was lower when evaluated in terms of economic<br />

optimum N rates and highest in terms of effect on N yield when no mineral<br />

fertiliser was supplied.<br />

A more common way of studying residual N effects in field experiments<br />

is to compare yield level and/or N uptake between the pre-crop or cover<br />

crop in question and a control, which is often a cereal without a cover crop<br />

(e.g. Wallgren & Linden, 1994). The comparison is typically made without<br />

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