Method for predicting yield and quality of Italian Ryegrass based on plant height and tillering
A multi-flowered ryegrass, high-quality technology, applied in the agricultural field, can solve the problems of wrong economy, inability to adjust forage harvest period, loss, etc., achieve the effect of small climate impact, improve forage production efficiency, and low cost
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Embodiment 1
[0019] Taking the Loess Plateau as an example, the output unit: t DM / hm 2 ;Growth time unit: d, quality unit: %
[0020] Counting from the 48th day of emergence.
[0021] Grass yield: y = 1.083ln(x) - 4.146, R² = 0.951
[0022] Crude protein: y = -14.1ln(x) + 78.41, R² = 0.945
[0023] Crude fat: y = -2.91ln(x) + 18.16, R² = 0.868
[0024] NDF: y = 7.585ln(x) + 10.46, R² = 0.941
[0025] ADF: y = 6.918ln(x) - 12.44, R² = 0.887
[0026] Ash: y = 4.796ln(x) - 11.52, R² = 0.926
[0027] growth time crude protein crude fat NDF ADF ASH Grass Yield 48 23.83 6.89 39.82 14.34 7.05 0.05 50 23.25 6.78 40.13 14.62 7.24 0.09 55 21.91 6.50 40.86 15.28 7.70 0.19 60 20.68 6.25 41.52 15.88 8.12 0.29 65 19.55 6.01 42.12 16.44 8.50 0.37 70 18.51 5.80 42.68 16.95 8.86 0.46 75 17.53 5.60 43.21 17.43 9.19 0.53 80 16.62 5.41 43.70 17.87 9.50 0.60 85 15.77 5.23 44.16 18.29 9.79 0.67 ...
Embodiment 2
[0032] Taking the Loess Plateau as an example, growth time (GT) unit: d; plant height (PH) unit: cm; tillering (TN) unit: piece; quality unit: %
[0033] Crude protein: y=27.904-0.084PH-0.005TN-0.073GT, R² =0.995
[0034] Crude fat: y=5.959-0.051PH+0.002TN-0.026GT, R² =0.959
[0035] NDF: y=29.231+0.249PH+0.004TN+0.038GT, R² =0.974
[0036] ADF: y=11.905-0.07PH+0.003TN+0.046GT, R² =0.987
[0037] growth time tiller plant height crude protein crude fat NDF ADF ASH 48 390.26 12.38 21.41 4.86 35.70 14.42 7.73 50 431.10 13.04 21.00 4.86 36.10 14.59 7.82 55 526.44 14.59 20.03 4.84 37.06 14.99 8.05 60 613.47 16.01 19.11 4.81 37.95 15.38 8.28 65 693.54 17.31 18.24 4.77 38.79 15.76 8.50 70 767.67 18.51 17.40 4.73 39.57 16.13 8.72 75 836.68 19.64 16.60 4.68 40.32 16.49 8.94 80 901.24 20.68 15.82 4.63 41.03 16.84 9.15 85 961.88 21.67 15.07 4.57 41.70 17.18 9.37 ...
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