CN1586169A - Poplar tissue cultivation quick breeding industrial producing plan controlled digital model - Google Patents
Poplar tissue cultivation quick breeding industrial producing plan controlled digital model Download PDFInfo
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- CN1586169A CN1586169A CN 200410053514 CN200410053514A CN1586169A CN 1586169 A CN1586169 A CN 1586169A CN 200410053514 CN200410053514 CN 200410053514 CN 200410053514 A CN200410053514 A CN 200410053514A CN 1586169 A CN1586169 A CN 1586169A
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Abstract
The present invention relates to the digital model for industrial production of tissue cultivation to breed poplar seedling quickly. The model is established via the following steps: determining tissue culture process; determining the technological parameters and thus the proliferation times in different technological stages; and determining the digital model of seedling number in different stages as the product of basic seedling number and the proliferation time. The production process includes the steps of initial material inducing, differentiating the bud, proliferation, secondary extension, micro cuttage rooting and hardening off; and the technological parameters includes optimal culture medium control, quality and pollution control, optimal temperature, lighting, humidity and optimal period. The present invention is used in the production management.
Description
Technical field
The present invention relates to a kind of mathematical model of willow tissue-culturing rapid propagation batch production production schedule control, can be widely used in the production management of tissue culture sprout quick propagating technology.
Background technology
The tissue cultivating and seedling advanced technology, batch production Production Requirements Plan precision has only precision, balanced production plan could assurance work to carry out in order by row.Yet by determining each working procedure parameter of willow tissue-culturing rapid propagation, the worker in each stage breeds multiple as can be known, for the digital management to operation provides possibility.
Summary of the invention
The object of the invention is: by willow being carried out tissue culture industrial fast breeding technical study, the simple and effective computation model of design one cover is realized the digital management to producing.
The object of the invention can realize by following proposal: a kind of mathematical model of willow tissue-culturing rapid propagation batch production production schedule control, set up by following step: and the first, determine group training production technology; The second, determine the technological parameter of each operation stage, thereby determine the propagation multiple in each stage; The 3rd, mathematical model is to emerge to count to equal the long-pending of each stage seedling radix and each stage propagation multiple, wherein, described production technology is in regular turn: starting material is induced A, differentiation and bud formation B, bud clump propagation C, clump bud subculture elongation D, minitype cuttage take root E, hardening supply F; Described each operation stage technological parameter comprises optimal medium control, quality and pollution control, optimum temperature, illumination, humidity control and optimal period control.
Superiority of the present invention is that a few minutes just can be finished the whole year production plan by the input computer program, and can carry out the whole process supervision to the production schedule by computer, can also work out a series of relevant annual plans such as recruitment, raw material supplies simultaneously.
Description of drawings
Fig. 1, willow group training technological process of production figure.
Fig. 2, the tissue-culturing rapid propagation production phase system.
Fig. 3, mathematical model.
Embodiment
Step 1 is determined group training production technology
Shown in Fig. 1 willow group training technological process of production figure, technology is in regular turn: starting material is induced A, differentiation and bud formation B, bud clump propagation C, clump bud subculture elongation D, minitype cuttage take root E, hardening supply F.Promptly from the willow raw material supply to the product supply.
Step 2, the optimum condition parameter that sums up each operation stage by experiment and possessed, as Fig. 2, shown in the tissue-culturing rapid propagation production phase system diagram, comprise optimal medium control, quality and pollution control, optimum temperature, illumination, humidity control and optimal period control in each operation stage controlling elements, the variant stage, the factor difference of required control.Wherein:
1, the culture medium prescription of A, B, C, D, each stage the best of E combination
2, A, B, C, D, each stage of E best 21 days production cycles or 28 days
3, the cultivation temperature of A, B, C, D, each stage the best of E is 25 ± 2 ℃
4, the cultivation intensity of illumination 1500-2000Lx of A, B, C, D, each stage the best of E;
5, the cultivation humidity 90-100% of A, B, C, D, each stage the best of E
6, the pollution of A, B, C, D, each stage the best of E is controlled to be 0.
Step 3 is determined the numerous propagation frequency of the expansion that reaches
By the condition control of step 2, the propagation frequency stabilization that makes A, B, C, D, each stage of E is at a zone of reasonableness.As: A1 doubly, B5 doubly, C8 doubly, D6 doubly, E5 doubly.
Step 4, editor's computing formula
Through several stages propagation, the F that finally the obtains quantity of emerging is: formula 1:1A * 5B * 8C * 6D * 5E=1200F from the materials A to E
The number of emerging in each stage:
| Stage | One | Two | Three | Four | Five |
| Code name | A | ?B | ?C | ?D | ?E |
| Multiple | 1 | ?5 | ?8 | ?6 | ?5 |
| 1 times | 1 | ?5A | ?40A | ?240A | ?1200A |
| N doubly | nA | ?5nA | ?40hA | ?240nA | ?1200nA |
Sum up digitization system, shown in Fig. 3 mathematical model, can utilize the Computing management according to this mathematical model, as utilize EXCLE form equation to calculate:
| Stage | A | B | C | D | E | F |
| Calculate | 1 | ＝5×A | ＝8×B | ＝6×C | ＝5×D | ＝E |
| Quantity | 1 | 5 | 40 | 240 | 1200 | 1200 |
For example: regard F as market demand annual plan amount, A is exactly annual material input amount so.For example produce the material of F1200000 young plant per year, then the A input is 1000.
| Stage | A | B | ?C | D | E | F |
| Calculate | 1000 | ＝5× 1000A | ＝8× 5000B | ＝6× 40000C | ＝5× 240000D | ＝E |
| Quantity | 1000 | 5000 | 40000 | 240000 | 1200000 | 1200000 |
1000A is decomposed in 53 annual weeks, the A input amount is weekly again:
1000A/53 week=18.87A/ week
Following table is a production quantity table weekly in the single materials A 1 year
| Week criticizes | 1 | ?2 | ?3 | ?4 | ?5 | ?6 | ?… | ?53 |
| A inoculates radix (individual) | 1 | ?1 | ?1 | ?1 | ?1 | ?1 | ?1 | ?1 |
| B quantity (individual) | ?5 | ?5 | ?5 | ?5 | ?5 | ?5 | ?5 | |
| C quantity (individual) | ?40 | ?40 | ?40 | ?40 | ?40 | ?40 | ||
| D quantity (individual) | ?240 | ?240 | ?240 | ?240 | ?240 | |||
| E quantity (individual) | ?1200 | ?1200 | ?1200 | ?1200 | ||||
| F quantity (individual) | ?1200 | ?1200 | ?1200 |
The use computational chart of 5,000,000 young plant yearly plans
| Week criticizes | ?1 | ?2 | ?3 | ?4 | ?5 | ?6 | ?… | ?53 |
| M1 inoculates radix (individual) | ?78.6 | ?78.6 | ?78.6 | ?78.6 | ?78.6 | ?78.6 | ?78.6 | ?78.6 |
| M2 quantity (individual) | ?393 | ?393 | ?393 | ?393 | ?393 | ?393 | ?393 | |
| M3 quantity (individual) | ?3144 | ?3144 | ?3144 | ?3144 | ?3144 | ?3144 | ||
| M4 quantity (individual) | ?18864 | ?18864 | ?18864 | ?18864 | ?18864 | |||
| M5 quantity (individual) | ?94320 | ?94320 | ?94320 | ?94320 | ||||
| The output of emerging (strain) | ?94320 | ?94320 | ?94320 |
Then 94320 strains/week * 53.14 week/year=5,010,000 strain/years
Claims (4)
1, a kind of mathematical model of willow tissue-culturing rapid propagation batch production production schedule control, set up by following step: the first, determine group training production technology; Second determines the technological parameter of each operation stage, thereby determines the propagation multiple in each stage; The 3rd, mathematical model is to emerge to count to equal the long-pending of each stage seedling radix and each stage propagation multiple, wherein, described production technology is in regular turn: starting material is induced A, differentiation and bud formation B, bud clump propagation C, clump bud subculture elongation D, minitype cuttage take root E, hardening supply F; Described each operation stage technological parameter comprises optimal medium control, quality and pollution control, optimum temperature, illumination, humidity control and optimal period control.
2, the mathematical model of willow tissue-culturing rapid propagation batch production production schedule control according to claim 1, the propagation multiple that it is characterized in that each stage is: 5 times of 1 times of A, B, 6 times of 8 times of C, D, 5 times of E, and then computing formula is that the F quantity of emerging is following formula:
1A×5B×8C×6D×5E＝1200F。
3, the mathematical model of willow tissue-culturing rapid propagation batch production production schedule control according to claim 1 and 2 is characterized in that the factor of the control of tissue-culturing rapid propagation production phase is:
(1), the culture medium prescription of A, B, C, D, each stage the best of E combination
(2), A, B, C, D, each stage of E best 21 days production cycles or 28 days
(3), the cultivation temperature of A, B, C, D, each stage the best of E is 25 ± 2 ℃
(4), the cultivation intensity of illumination 1500-2000Lx of A, B, C, D, each stage the best of E;
(5), the cultivation humidity 90-100% of A, B, C, D, each stage the best of E
(6), the pollution of A, B, C, D, each stage the best of E is controlled to be 0.
4, a kind of occupation mode of utilizing the mathematical model of willow tissue-culturing rapid propagation batch production production schedule control is characterized in that utilizing EXCLE form equation to calculate.
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| CN 200410053514 CN1586169A (en) | 2004-08-06 | 2004-08-06 | Poplar tissue cultivation quick breeding industrial producing plan controlled digital model |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102349445A (en) * | 2011-08-11 | 2012-02-15 | 四川省农业科学院园艺研究所 | Method for producing tissue culture seedlings on assembly line with low cost |
| CN113455394A (en) * | 2021-07-23 | 2021-10-01 | 中国热带农业科学院橡胶研究所 | Standardized production method for large-scale breeding of rubber tree somatic embryo seedlings |
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2004
- 2004-08-06 CN CN 200410053514 patent/CN1586169A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102349445A (en) * | 2011-08-11 | 2012-02-15 | 四川省农业科学院园艺研究所 | Method for producing tissue culture seedlings on assembly line with low cost |
| CN102349445B (en) * | 2011-08-11 | 2013-02-06 | 四川省农业科学院园艺研究所 | Method for producing tissue culture seedlings on assembly line with low cost |
| CN113455394A (en) * | 2021-07-23 | 2021-10-01 | 中国热带农业科学院橡胶研究所 | Standardized production method for large-scale breeding of rubber tree somatic embryo seedlings |
| CN113455394B (en) * | 2021-07-23 | 2023-06-20 | 中国热带农业科学院橡胶研究所 | Standardized production method for large-scale breeding of rubber tree body embryo seedlings |
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