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Feeding Systems with Legumes to Intensify Dairy Farms - cgiar

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The model predicts expected milk yield from three different sources:<br />

from metabolizable energy (ME), from protein (P), and from amino acids<br />

availability (AA). However, the discussion will be centered on the results<br />

obtained from the first two sources because there was no information on the<br />

AA composition of the forages obtained from Quilichao nor was information<br />

available from the tropical forages library.<br />

Table 2. Consumption of sugarcane and Cratylia and predicted intake of<br />

Brachiaria decumbens for the different trials at Quilichao,<br />

Colombia.<br />

Triala Sugarcane Cratylia Brachiaria Total DM<br />

decumbens<br />

(% LW)<br />

ISR + sugarcane 4.43 0 5.04 9.47 2.12<br />

ISR + 75% sugarcane + 25%<br />

legume<br />

2.64 1.16 5.81 9.61 2.15<br />

ISR + 50% sugarcane + 50%<br />

legume<br />

1.48 2.28 5.83 9.59 2.15<br />

ISR + 25% sugarcane + 75%<br />

legume<br />

0.45 4.16 5.03 9.64 2.16<br />

LSR + sugarcane 2.00 0 7.48 9.48 2.30<br />

LSR + sugarcane + legume 2.92 0.62 6.02 9.56 2.32<br />

HSR + sugarcane 2.00 0 6.96 8.96 2.17<br />

HSR + sugarcane + legume 2.92 0.70 5.60 9.22 2.24<br />

a. ISR = intermediate s<strong>to</strong>cking rate; LSR = low s<strong>to</strong>cking rate; and HSR = high s<strong>to</strong>cking rate.<br />

As can be observed, the CNCPS model predicted the observed milk<br />

yields in both the low and high s<strong>to</strong>cking rate trials, but failed <strong>to</strong> predict the<br />

observed milk yields for the intermediate s<strong>to</strong>cking rate trials. This<br />

underprediction came from both the energy and protein portions, but the<br />

bias was larger in predicting milk yields using the protein portion.<br />

The probable cause of the low prediction of milk yields for the<br />

intermediate s<strong>to</strong>cking rate using the protein portion is the indigestible dry<br />

matter which causes low microbial growth, due <strong>to</strong> high levels of NDF from<br />

both B. decumbens (69%-70%) and C. argentea (63%-66%). Based on Dr.<br />

Alice Pell’s comments, the high lignin content found in Cratylia could be the<br />

reason why the CNCPS model underpredicted observed milk yield. Based on<br />

Pell’s experience, lignin content of Cratylia leaves and stems should have<br />

been around 7%-8% but not the 16%-17% as found in the Quilichao work.<br />

The secondary compounds may be confounded <strong>with</strong> lignin, masking the<br />

overall effect of diet.<br />

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