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Great Lakes Dairy Sheep Symposium - the Department of Animal ...

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animals can reduce intake, as <strong>the</strong>y reach <strong>the</strong> state <strong>of</strong> satiety earlier, due to <strong>the</strong> effects <strong>of</strong> metabolic<br />

control.<br />

The correlation between chemical components and intake for <strong>the</strong> different types <strong>of</strong> pasture<br />

is ra<strong>the</strong>r weak. It is difficult to clearly assess <strong>the</strong> pasture conditions <strong>of</strong> natural pasture with <strong>the</strong> type<br />

<strong>of</strong> undifferentiated data on its chemical composition which are available. Mean data does not,<br />

indeed, explain all <strong>the</strong> qualitative differences between essences and certainly does not consider <strong>the</strong><br />

spatial distribution <strong>of</strong> <strong>the</strong>se essences, even though <strong>the</strong>y may be <strong>of</strong> significant importance in<br />

selective behaviour.<br />

Most attempts to predict pasture intake by sheep based on feed chemical and nutritional<br />

composition have emphasised <strong>the</strong> important role played by NDF content (Lanari et al., 1993), as<br />

this influences rumen wall distension. Table 8 reports some intake prediction equations based on<br />

NDF content. The correlation is always negative.<br />

Table 8 - Regression equations between dry matter intake (g/kg metabolic weight) and pasture<br />

NDF content.<br />

Category <strong>of</strong> forage Regression equation<br />

All forages<br />

Alfalfa hays<br />

Miscellaneous hays<br />

All forages<br />

Grass forages<br />

Polyfytes hays<br />

Miscellaneous hays<br />

I = 107.4 – 0.644 NDF<br />

I = 104.6 – 0.488 NDF<br />

I = 117.4 – 0.760 NDF<br />

I = 134.5 –1.10 NDF<br />

I = 95.3 + 6.70 NDF – 0.0668 NDF 2<br />

I = 136.5 – 0.12 NDF<br />

I = 96.5 – 0.38 NDF – 0.0000004 NDF 4<br />

Effect <strong>of</strong> supplementary feeding on herbage intake<br />

99<br />

Macchioni et al., 1990<br />

Macchioni et al., 1990<br />

Macchioni et al., 1990<br />

Reid et al., 1988<br />

Rohweder et al., 1978<br />

Dulphy et al., 1990<br />

Lanari et al., 1993<br />

When feed supplements are used <strong>the</strong>re is nearly always a reduction in pasture intake,<br />

because <strong>of</strong> <strong>the</strong> substitution effect (S). S is <strong>the</strong> variation in herbage intake per unit <strong>of</strong> supplement<br />

provided and it can vary greatly, from 0 to 1. In certain conditions it may, indeed, be even lower<br />

than 0 or greater than 1. Obviously, <strong>the</strong> lower <strong>the</strong> S value, <strong>the</strong> higher <strong>the</strong> total feed intake. Intake<br />

response to a supplement is strongly influenced by <strong>the</strong> quantity and quality <strong>of</strong> <strong>the</strong> available<br />

herbage. When <strong>the</strong>re is little biomass available or its quality is poor, <strong>the</strong> supplement causes an<br />

increase in total dry matter intake and an improvement in animal performance; in <strong>the</strong>se cases S is<br />

very low or null. In conditions where <strong>the</strong>re is a large amount <strong>of</strong> available biomass or its quality is<br />

high, <strong>the</strong> efficacy <strong>of</strong> supplement is almost nullified due to <strong>the</strong> high S level. Figure 3 shows <strong>the</strong> S<br />

values found by Molle et al. (1997), when a corn grain supplement was given to dairy sheep<br />

grazing for 5 hours/d on good quality ryegrass sward <strong>of</strong> different height and biomass. One can<br />

see S values higher than 1. When biomass reaches DM yields higher than 2 t/ha, all <strong>the</strong> herbage<br />

was substituted by concentrates.

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