Method for predicting yield and quality of chicory
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A technology of chicory and quality, applied in the agricultural field, can solve the problems of costing a lot of money and time, adjusting the forage harvest period, wrong economy, etc., and achieve the effects of improving production efficiency, saving money and time, and having little impact on climate
Pending Publication Date: 2021-02-09
宁夏农林科学院动物科学研究所 +1
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Problems solved by technology
Existing forage yield and quality analysis usually takes a lot of money and time. It often takes about a month to chemically analyze a batch of forage samples in scientific research institutes such as universities and analysis institutes, and the best quality of forage can be harvested. Generally short, unable to wait for the end of the long chemical analysis process
Ordinary agricultural operators can only roughly estimate the harvest time of forage grass based on experience, and cannot timely adjust the harvest period of forage grass through scientific means. They often misjudge the harvest time of forage grass and cause a lot of economic losses.
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Embodiment 1
[0049] Example 1 (Puna II)
[0050] The original data are the experimental data of Chicory Puna II yield, quality, growth time, and ≥0°C accumulated temperature in Yuzhong Experimental Station of Lanzhou University in Gansu Province in 2013 (as shown in Table 1).
[0051] Growth time unit: d;
[0052] ≥0°C accumulated temperature unit: °C;
[0053] Production unit: kg DM hm-2;
[0054] Quality unit: %
[0055] Table 1. Puna Ⅱ experimental data
[0056]
[0057]
[0058] According to the growth time, accumulated temperature data, yield and nutritional quality index data collected in Table 1 in 2013, the corresponding regression model was established by using SPSS20.0, and the prediction model is shown in Table 2.
[0059] Table 2. Puna Ⅱ prediction model
[0060]
[0061] Producers can use the regression model shown in Table 2 to predict the yield and nutritional quality of Chicory Grass Puna II in the next round or the corresponding production time or accumulated...
Embodiment 2
[0064] Example 2 (Choice)
[0065] The original data are the experimental data of Chicory Puna II yield, quality, growth time, and ≥0°C accumulated temperature in Yuzhong Experimental Station of Lanzhou University in Gansu Province in 2013 (as shown in Table 3).
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Abstract
The invention relates to the technical field of agriculture, in particular to a method for predicting the yield and quality of chicory, which comprises the following steps of: obtaining the growth time of the chicory and the yield and nutritional quality index data corresponding to the growth time, and establishing a regression model; or acquiring accumulated temperature of greater than or equal to 0 DEG C of chicory grass and yield and nutritional quality index data corresponding to the accumulated temperature, and establishing a regression model; substituting the growth time of the chicory needing to be analyzed or the accumulated temperature greater than or equal to 0 DEG C into the corresponding regression model, predicting the yield and the nutritional quality of the chicory in the next year, and judging the optimal harvesting time of the chicory; the invention has the advantages that the method is slightly affected by weather, simple, practical, rapid, convenient, accurate, low in cost and suitable for small and medium-sized production units such as small and medium-sized agricultural product enterprises, agricultural partners and individual farmers, a large amount of money and time are saved for the small and medium-sized agricultural production units, and the production cost of pasture is reduced to a certain extent; and the forage grass production efficiency is well improved.
Description
technical field [0001] The invention relates to the field of agricultural technology, in particular to a method for predicting the yield and quality of chicory grass. Background technique [0002] Chicory is a perennial herb, 40-100 cm high. Stem erect, solitary, branched or extremely extended, all stems and branches green, with ribs, covered with very sparse long and curved rough or bristly hairs or almost glabrous. Basal leaves rosette, survive flowering, oblanceolate-long-elliptic, including petiole attenuate at base, total length 15-34 cm, width 2-4 cm, base attenuate with wing petiole, large capitulate and inverted pinnate Deeply lobed or pinnately parted or undivided with sparse pointed serrations on the margin, 3-6 pairs or more of lateral lobes, larger apical lobes, gradually smaller toward the lower lateral lobes, all lateral lobes falcate or irregularly sickle shape or triangle. Cauline leaves are few, small, ovate-oblanceolate to lanceolate, sessile, base round...
Claims
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