CN109041874A - The yield of rape based on biochemical composition and the prediction technique of lodging resistance - Google Patents
The yield of rape based on biochemical composition and the prediction technique of lodging resistance Download PDFInfo
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- CN109041874A CN109041874A CN201810631589.3A CN201810631589A CN109041874A CN 109041874 A CN109041874 A CN 109041874A CN 201810631589 A CN201810631589 A CN 201810631589A CN 109041874 A CN109041874 A CN 109041874A
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G22/00—Cultivation of specific crops or plants not otherwise provided for
- A01G22/15—Leaf crops, e.g. lettuce or spinach
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G7/00—Botany in general
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- Biodiversity & Conservation Biology (AREA)
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Abstract
The invention belongs to rapeseed cultivation technical fields, and in particular to a kind of yield of the rape based on biochemical composition and the prediction technique of lodging resistance comprising following steps: S1, the biochemistry ingredient content information for obtaining test rape object；S2, it establishes the biochemistry ingredient content information including test rape object and tests the database of the yield of rape object and the corresponding relationship of lodging index overall merit grade；S3, the biochemistry ingredient content information for obtaining prediction rape object determine the yield and lodging index overall merit grade of prediction rape object according to the database that the step S2 is established.The present invention tests the biochemistry ingredient content information of rape object by obtaining, according to the biochemistry ingredient content information for including test rape object and the database for testing the yield of rape object and the corresponding relationship of lodging index overall merit grade, it can determine the yield and lodging index overall merit grade of prediction rape according to the biochemistry ingredient content information of prediction rape object.
Description
Technical field
The invention belongs to rapeseed cultivation technical fields, and in particular to the yield of a kind of rape based on biochemical composition and anti-fall
The prediction technique of property.
Background technique
The important oil crops that rape is maximum as China's planting scale, quickly grows, rapeseed oil produced contains rich
Rich fatty acid and vitamin, is one of main edible oil in China.Currently, although the technology for rapeseed cultivation develops more
Maturation, still, the prediction technique of yield and lodging resistance with regard to rape are not perfect.Prior art CN201710654154 is disclosed
A kind of method for early prediction of the yield of rape.The method for early prediction of the yield of rape provided in the prior art uses
Random forest method carries out dimensionality reduction to the chlorophyll fluorescence parameters of higher-dimension, to filter out larger to siliqua of oilseed rape production forecast effect
Optimal subset, substantially reduce the calculation amount of the Quantitative Prediction Model of the yield for the rape established on that subset, and its
Prediction effect remains unchanged or even improves.But which employs more complicated prediction models, also, can only be directed to
The yield of rape is predicted.
Summary of the invention
To solve the deficiencies in the prior art, the present invention provides the yield and lodging resistance of a kind of rape based on biochemical composition
Prediction technique.Provided prediction technique through the invention, can be same according to the biochemistry ingredient content information for surveying rape object
When predict its yield and lodging index.
Technical solution provided by the present invention is as follows:
A kind of yield of the rape based on biochemical composition and the prediction technique of lodging resistance, comprising the following steps:
S1, the biochemistry ingredient content information for obtaining test rape object；
S2, the yield for establishing biochemistry ingredient content information and test rape object including test rape object and lodging refer to
The database of the corresponding relationship of number overall merit grade；
S3, the biochemistry ingredient content information for obtaining prediction rape object, the database established according to the step S2
Determine the yield and lodging index overall merit grade of prediction rape object.
In the above-mentioned technical solutions, by obtaining the biochemistry ingredient content information of test rape object, according to including test
The corresponding relationship of the biochemistry ingredient content information of rape object and the yield of test rape object and lodging index overall merit grade
Database, it can according to prediction rape object biochemistry ingredient content information determine prediction rape yield and lodging index
Overall merit grade.
This method sampling is simple, and prediction process is simple, convenient for using in extensive rapeseed cultivation.
Specifically, the biochemistry ingredient content information is the content of cellulose information of the stalk of rape.
In above-mentioned technical proposal, rape stem content of cellulose is related to the yield of rape and lodging index whole height.
Specifically, the biochemistry ingredient content information is the content of cellulose information of the stalk of the rape in maturity period.
In above-mentioned technical proposal, rape stem content of cellulose is related to the yield of rape and lodging index whole height.
Specifically, the biochemistry ingredient content information is the content of cellulose of the stalk of the rape at least 10 plants maturity periods
Average value.
Based on the above-mentioned technical proposal, systematic error is low and cost of sampling is low.
Specifically, the yield and lodging index overall merit grade include that Comprehensive Traits are excellent and Comprehensive Traits difference two-stage,
The average value of the content of cellulose of the excellent rape of Comprehensive Traits is 23.00wt%~26.40wt%；The rape of Comprehensive Traits difference
Content of cellulose average value be less than 23.00wt% or be greater than 26.40wt%.
Wherein, the excellent yield values of Comprehensive Traits are 2385.3kghm-2-2740.0kg·hm-2, lodging index is
1.82g·cm·g-1-2.38g·cm·g-1, the poor yield values of Comprehensive Traits are 1818.1kg hm-2-2120.4kg·
hm-2, lodging index 2.75gcmg-1-3.17g·cm·g-1。
In above-mentioned technical proposal, stalk content of cellulose is significantly positively correlated with yield, and the extremely significant negative correlation of lodging index,
It can be used as prediction and coordinate the physical signs of yield of rape and lodging resistance.
Specifically, the kind of the rape object are as follows: conventional kind of Upper Yangtze River or cenospecies；Alternatively, Yangtze middle reaches are conventional
Kind or cenospecies；Alternatively, conventional kind of THE LOWER YANGTZE VALLEY or cenospecies.
Based on the above-mentioned technical proposal, systematic error is low.
It is specific:
Conventional kind of the Upper Yangtze River or cenospecies are selected from cloud oil pair 2, cloud oil miscellaneous No. 10, the miscellaneous NH5118 in river, Rong's oil 8
Number, Rong's oil 18, river oil 36, Hunan is miscellaneous oily 553, Hunan is miscellaneous oily 518, any one in Jiangxi oil miscellaneous No. 7 or miscellaneous No. 8 of Jiangxi oil；
Conventional kind of the Yangtze middle reaches or cenospecies are miscellaneous 62 selected from China, China is No. 9 miscellaneous, in double 11, sunlight 2009, peaceful miscellaneous 27
Or any one in peaceful miscellaneous 1818；
Conventional kind of the THE LOWER YANGTZE VALLEY or cenospecies are selected from Soviet Union's oil 8, Soviet Union's oil 6, town oil 6 or raise oil 9.
Generally, through the invention provided by prediction technique, can according to survey rape object biochemistry ingredient content believe
It ceases while predicting its yield and lodging index.The present invention tests the biochemistry ingredient content information of rape object by obtaining, according to
Including testing the biochemistry ingredient content information of rape object and testing the yield and lodging index overall merit grade of rape object
The database of corresponding relationship, it can according to prediction rape object biochemistry ingredient content information determine prediction rape yield and
Lodging index overall merit grade.
Specific embodiment
The principles and features of the present invention are described below, and illustrated embodiment is served only for explaining the present invention, is not intended to
It limits the scope of the invention.
S1, the biochemistry ingredient content information for obtaining test rape object；
S2, the yield for establishing biochemistry ingredient content information and test rape object including test rape object and lodging refer to
The database of the corresponding relationship of number overall merit grade；
S3, the biochemistry ingredient content information for obtaining prediction rape object determine prediction according to the database that step S2 is established
The yield and lodging index overall merit grade of rape object.
Biochemistry ingredient content information is the average value of the content of cellulose of the stalk of the rape at least 10 plants maturity periods.
Yield and lodging index overall merit grade include that Comprehensive Traits are excellent and Comprehensive Traits difference two-stage, Comprehensive Traits are excellent
Rape content of cellulose average value be 23.00wt%~26.40wt%；The content of cellulose of the rape of Comprehensive Traits difference
Average value be less than 23.00wt% or be greater than 26.40wt%.
The kind of rape object are as follows: conventional kind of Upper Yangtze River or cenospecies；Alternatively, conventional kind of Yangtze middle reaches or cenospecies；
Alternatively, conventional kind of THE LOWER YANGTZE VALLEY or cenospecies.
Test example
1.1 test material
Test has 20 kinds, the kind 6 (1 conventional kind, 5 cenospecies) of middle and upper reaches using material；Middle reaches
Kind 8 (2 conventional kind, 6 cenospecies)；The kind 6 (4 conventional kind, 2 cenospecies) in downstream, the ecology of kind
Area, title, breeding unit, authorization number, variety type etc. are such as table 1
The title and type of 1 tested variety of table
1.2 test periods, place
It tests and is planted in the 2015-2017 ecosite different in the Yangtze river basin, the testing site 2015-2016 is length
Jiang Shangyou (Kunming, Chengdu)；Yangtze middle reaches (Wuhan, Wuxue City), THE LOWER YANGTZE VALLEY testing site (Nanjing).The testing site 2016-2017
Upper Yangtze River testing site (Kunming, Chengdu)；Yangtze middle reaches testing site (Wuhan, Huang gang, Nanchang)；THE LOWER YANGTZE VALLEY testing site (south
Capital).
1.3 experimental design
Each testing site is used uniformly random district's groups and arranges, and each testing site is respectively provided with 20 cells, live streaming side
Formula plantation.Each plot area 20m2(long 2m, wide 10m), line-spacing 25cm, planting density are that 30,000 plants/acre of doses are that mu is applied
50kg compound fertilizer (N:P:K=15%-15%-15%), 5 leaf phases impose 7.5kg urea, and when a kind of sedge high 5cm imposes 5kg urea again.
Borax dosage 15kg/hm2, Base-appling once.Other management are the same as Routine Management mode.
The 2 planted in different ecological areas sowing time of table
1.4 testing indexs and method
1.4.1 the record of breeding time
It is recorded according to national region test Recording criteria:
Seeding stage: full cell 75% comes up, and cotyledon is open and flat；Flower bud a kind of sedge phase: 75% or more plant of the whole district is pushed aside
The visible obvious bud of stem top 1-2 piece spire, and stem height reaches 10cm or more, and stem internode starts to extend；Just
Florescence: 25% plant stem of the whole district is bloomed；Full-bloom stage: 75% or more inflorescence of the whole district is bloomed；The whole florescence: 75% or more whole district flower
Sequence thanks flower completely (petal discoloration starts to wither)；Maturity period: the whole district has 75% or more silique to switch to yellow, and seed is rendered into
Ripe color.
1.4.2 straw development dynamic
When the high 5cm of a kind of sedge, in 10 plants of each cell continuous sampling, plant height, the rhizome for investigating plant be thick, the number of blade, cell strain
Several variations is carried out every 7d once, until plant height is not changing.
1.4.3 each key developmental stages sampling
2015-2017 is separately sampled in the key developmental stages (seedling stage, a kind of sedge phase, florescence, silique phase, maturity period) of rape,
Each cell samples 10 plants, and it is fresh that seedling stage, a kind of sedge phase mainly investigate thick rhizome, plant height, stalk and fresh weight, dry weight, leaf area, root
Weight, dry weight.Florescence, silique phase mainly investigate that rhizome is thick, plant height, branch height, branch amount, the fresh dry weight of aerial part, and stalk is each
Section 10cm volume, fresh weight, dry weight.Maturity period species test mainly investigate the fresh dry weight of root, rhizome thick, plant height, branch height, branch amount,
Tie angle terminus, stem knot angle terminus, the fresh dry weight of aerial part, stalk each section of 10cm volume, fresh weight, dry weight, stem silique
Number and fresh weight, dry weight, branch silique number and fresh dry weight, the Seed weight of stem and branch, silique tare weight.
1.4.4 yield of rape and yield forming
10 plants of progress species tests that stalk Dynamic Investigation will be done each cell early period on the day before harvest, in addition to measurement routine
Outside morphological index, also needing the index of measurement includes Seed number per pod, every plant of silique number, mass of 1000 kernel, obtains theoretical yield, species test knot
The fixed 16m of each cell harvest after beam2Rape, which is surveyed, to be produced, and is counted the practical stubble number of harvesting, is calculated actual production.
1.4.5 the measurement for the character that lodges
The measurement of field lodging angle
The lodging of rape includes that root falls to fall with stem, and the rape lodging for live streaming is mainly that stem falls, and stem fall=always lodges angle
Du-root lodges angle, wherein 1) always lodging angle is equal to canopy highest point and cotyledonary node (refer on plumular axis cotyledon institute the section of life)
Line and vertical direction angle；2) root chamfer angle selects the angle of protractor measurement stalk and vertical direction.
The measurement of stalk lodging intensity
10 plants of rapes are taken in the maturity period, after removing contracting stem section, effectively branch height is measured for the first time, remaining stalk is put down
Four sections are divided into, (measurement of fracture resistence force is using Zhejiang Top Instrument Co., Ltd.'s production for the fracture resistence force of each section of stalk of measurement
YYD-1 straw stiffness surveys instrument).The measuring method of lodging index are as follows: lodging index=plant height × ground fresh weight/fracture resistence force
(Sluiter et al 2008, Zhang Xijuan etc. is 2009), wherein plant height and ground fresh weight respectively correspond the stem section of measurement to plant
The height and fresh weight at top, fracture resistence force are the fracture resistence force among this section of stalk at 10cm.
1.4.6 the measurement of stalk physical signs
Four sections of stem sections for measuring stalk fracture resistence force are put into baking oven after species test, 105 DEG C of water-removings, 80 DEG C drying to constant weight,
It is saved in drier, eventually for measurement stalk ingredient.The plant stalk that can reflect average level is chosen when selecting stalk, is surveyed
Determine the ingredient of stalk:
1) soluble sugar (anthrone development process)
2) cellulose, hemicellulose, pectin (colorimetric method)
3) content of lignin (Sluiter et al 2008)
2 results and analysis
The annidation of 2.1 different cultivars yield of rape is analyzed
In yield mean value, with the miscellaneous No. 10 yield values minimums of cloud oil, 2 years are respectively 1866.9kghm-2、
1769.2kg·hm-2, the maximum kind of yield values is miscellaneous No. 9 of China, respectively 2770.2kghm-2、2679.8 kg·hm-2,
By the select high yield type kind of the clustering of yield, (Rong's oil 18, river oil 36, Hunan are miscellaneous oily 518, Jiangxi oil is No. 8 miscellaneous, China
Miscellaneous 62, China it is No. 9 miscellaneous, in double No. 11) value for coefficient of variation is relatively also smaller, belong to the adaptable kind of high yield.Low yield type (cloud oil
Double No. 2, cloud oil is No. 10 miscellaneous, the miscellaneous NH5118 in river, peaceful miscellaneous 27) value for coefficient of variation are larger, belong to the weak kind of low yield adaptability.
In 2 years, the smallest kind of the coefficient of variation of 6 ecotope yield is river oil 36, China is No. 9 miscellaneous, Rong is No. 8 oily, China is miscellaneous
62, Soviet Union's oil 6 is not divided into the variety type of high yield because Rong's oil 8, oily No. 6 yield of reviving are lower, therefore picks out
Optimal three kind that the coefficient of variation is small and yield is high is that river oil 36, China is miscellaneous 62, miscellaneous No. 9 of China；The coefficient of variation is produced compared with great synthesis
Measuring lower three kinds is cloud oil pair 2, cloud oil miscellaneous No. 10, the miscellaneous NH5118 in river, and yield shows in local suitable ecological area
For high yield characteristics, after ecotope changes, weather is not suitable for, and causes yield lower, varietal adaptation is poor.
4 different cultivars yield of table and its coefficient of variation (2015-2017)
**,**: respectively indicate 0.05 and 0.01 level of signifiance.
The annidation of 2.2 different cultivars lodging resistances is analyzed
It is obtained by kind lodging resistance Adaptability Analysis, the smallest kind difference of the kind lodging index coefficient of variation in 2 years
For China it is No. 9 miscellaneous, in double No. 11, lodging index is respectively 2.01gcm/g, 1.88gcm/g.The maximum kind of the coefficient of variation point
Not Wei the miscellaneous NH5118 in river, cloud oil double No. 2, lodging index is respectively 3.11 gcm/g, 3.16gcm/g.Lodging index cluster
In analysis, show highly resistance kind (Rong's oil 18, river oil 36, Hunan are miscellaneous oily 518, China is miscellaneous 62, China is No. 9 miscellaneous, in double No. 11, town oil 6
Number) coefficient of variation is smaller, belong to the adaptable kind of highly resistance.(cloud oil is No. 2 double, cloud oil is No. 10 miscellaneous, river is miscellaneous for low anti-kind
NH5118, it is peaceful miscellaneous 27, Soviet Union's oil 8, raise oil 9) in, because reviving, oily No. 8 coefficient of variation are relatively small, and stability is stronger, therefore low anti-
The weak kind of adaptability be (cloud oil is No. 2 double, cloud oil is No. 10 miscellaneous, the miscellaneous NH5118 in river, it is peaceful miscellaneous 27, raise oil 9)
In 2 years the smallest three kinds of the lodging index coefficient of variation be respectively China it is No. 9 miscellaneous, in double No. 11, Hunan miscellaneous oily 518,
And lodging index is relatively small, is strongest three kinds of highly resistance adaptability.The maximum kind of the coefficient of variation is respectively in 2 years
The miscellaneous NH5118 in river, cloud oil is No. 2 double, it is peaceful miscellaneous 27, raise oil 9, it is more anti-fall wherein peaceful miscellaneous 27 lodging index is relatively small, therefore low anti-
Three most weak kinds of adaptability are respectively the miscellaneous NH5118 in river, cloud oil is No. 2 double, raises oil 9.
The coefficient of variation of 5 lodging index of table analyzes (2015-2017)
*,**: respectively indicate 0.05 and 0.01 level of signifiance.
2.3 compressive classification kinds and yield, anti-fall sexual intercourse
2.3.1 assortment
By the clustering of yield and lodging index, yield and lodging index are subjected to compressive classification, obtain high yield height
It is anti-to adapt to preferable kind (Comprehensive Traits are excellent) are as follows: Rong's oil 18, river oil 36, Hunan are miscellaneous oily 518, China is miscellaneous 62, China is No. 9 miscellaneous, in
Double No. 11；The anti-general kind of adaptability in middle production (Comprehensive Traits are general) are as follows: Rong's oil 8, Hunan is miscellaneous oily 553, Jiangxi oil is No. 7 miscellaneous,
Jiangxi oil is No. 8 miscellaneous, sunlight 2009, it is peaceful miscellaneous 1818, Soviet Union's oil 8, Soviet Union's oil 6, town oil 6, raise oil 9；The low anti-adaptability of low yield compared with
Weak kind (Comprehensive Traits are poor) are as follows: cloud oil is No. 2 double, cloud oil is No. 10 miscellaneous, the miscellaneous NH5118 in river, peaceful miscellaneous 27.
6 yield of table, lodging resistance compressive classification (2015-2017)
1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20 kind cloud oil pair is respectively represented
No. 2, cloud oil is No. 10 miscellaneous, the miscellaneous NH5118 in river, Rong's oil 8, Rong's oil 18, river oil 36, Hunan are miscellaneous oily 553, Hunan is miscellaneous oily 518, Jiangxi oil
Miscellaneous No. 7, Jiangxi oil is No. 8 miscellaneous, China is miscellaneous 62, China is No. 9 miscellaneous, in No. 11 double, sunlight 2009, peaceful miscellaneous 27, peaceful miscellaneous 1818, Soviet Union's oil 8, Soviet Union's oil
No. 6, town oil No. 6, raise oil No. 9.
2.3.2 stalk physical signs is analyzed
It is analyzed by comparative variety, yield and stalk physical signs main affecting factors are cellulose；Lodging is raw with stalk
Manage it is index related larger, main affecting factors be soluble sugar, cellulose, lignin.The anti-fall stalk physical signs of high yield is closed
Reason range is respectively as follows: soluble sugar 2.11%-2.80%, cellulose 23.00%-26.40%, lignin 19.35%-
22.48%.The influence index of most critical is cellulose 23.00%-26.40%.
7 stalk physical signs comprehensive analysis (2015-2017) of table
*,**: respectively indicate 0.05 and 0.01 level of signifiance.
Show that Comprehensive Traits excellent variety and the correlation analysis of the poor kind of Comprehensive Traits and yield obtain by analysis
Out, the Study on Physiologic for influencing yield is cellulose.
Comprehensive Traits excellent variety is analyzed with the poor kind of Comprehensive Traits with corresponding lodging index, influences the main of lodging
Physical signs is soluble sugar, cellulose, lignin.
Therefore soluble sugar, cellulose, lignin can be used as the key physiological of high yield highly resistance adaptability good variety selection
Index factor, wherein stalk content of cellulose is significantly positively correlated with yield, with the extremely significant negative correlation of lodging index, can be used as prediction
The physical signs of yield of rape and lodging resistance.
The physical signs and yield, lodging resistance correlation analysis (2015-2017) of 8 Comprehensive Traits difference kind of table
*,**: respectively indicate 0.05 and 0.01 level of signifiance
It is seen from the above data that stalk content of cellulose is significantly positively correlated with yield, it is extremely significant negative with lodging index
Correlation can be used as the physical signs of prediction yield of rape and lodging resistance.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of yield of rape based on biochemical composition and the prediction technique of lodging resistance, which comprises the following steps:
S1, the biochemistry ingredient content information for obtaining test rape object；
S2, the yield and lodging index for establishing biochemistry ingredient content information and test rape object including test rape object are total
The database of the corresponding relationship of opinion rating；
S3, the biochemistry ingredient content information for obtaining prediction rape object are determined according to the database that the step S2 is established
Predict the yield and lodging index overall merit grade of rape object.
2. the yield of the rape according to claim 1 based on biochemical composition and the prediction technique of lodging resistance, feature exist
In: the biochemistry ingredient content information is the content of cellulose information of the stalk of rape.
3. the yield of the rape according to claim 2 based on biochemical composition and the prediction technique of lodging resistance, feature exist
In: the biochemistry ingredient content information is the content of cellulose information of the stalk of the rape in maturity period.
4. the yield of the rape according to claim 3 based on biochemical composition and the prediction technique of lodging resistance, feature exist
In: the biochemistry ingredient content information is the average value of the content of cellulose of the stalk of the rape at least 10 plants maturity periods.
5. the yield of the rape according to claim 4 based on biochemical composition and the prediction technique of lodging resistance, feature exist
It include that Comprehensive Traits are excellent and Comprehensive Traits difference two-stage, Comprehensive Traits are excellent in: the yield and lodging index overall merit grade
Rape content of cellulose average value be 23.00wt%~26.40wt%；The content of cellulose of the rape of Comprehensive Traits difference
Average value be less than 23.00wt% or be greater than 26.40wt%.
6. the yield of the rape according to any one of claims 1 to 5 based on biochemical composition and the prediction technique of lodging resistance,
It is characterized in that, the kind of the rape object are as follows:
Conventional kind of Upper Yangtze River or cenospecies；
Alternatively, conventional kind of Yangtze middle reaches or cenospecies；
Alternatively, conventional kind of THE LOWER YANGTZE VALLEY or cenospecies.
7. the yield of the rape according to claim 6 based on biochemical composition and the prediction technique of lodging resistance, feature exist
In:
Conventional kind of the Upper Yangtze River or cenospecies are selected from No. 10 miscellaneous cloud oil pair 2, cloud oil, the miscellaneous NH5118 in river, Rong oily No. 8, Rong
Oil 18, river oil 36, Hunan are miscellaneous oily 553, Hunan is miscellaneous oily 518, any one in Jiangxi oil miscellaneous No. 7 or miscellaneous No. 8 of Jiangxi oil；
Conventional kind of the Yangtze middle reaches or cenospecies are miscellaneous 62 selected from China, China is No. 9 miscellaneous, in double 11, it is sunlight 2009, peaceful miscellaneous 27 or peaceful miscellaneous
Any one in 1818；
Conventional kind of the THE LOWER YANGTZE VALLEY or cenospecies are selected from Soviet Union's oil 8, Soviet Union's oil 6, town oil 6 or raise oil 9.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104034852A (en) * | 2014-06-12 | 2014-09-10 | 中国农业科学院油料作物研究所 | Method and model for predicting lodging resistance of soybeans |
| CN104698133A (en) * | 2015-02-28 | 2015-06-10 | 华中农业大学 | Method for predicting brassica napus field stalk lodging angle and application of method |
| CN107314987A (en) * | 2017-06-12 | 2017-11-03 | 华中农业大学 | A kind of method that utilization near infrared spectrum detects rape single plant yield |
| CN107389548A (en) * | 2017-08-02 | 2017-11-24 | 浙江大学 | The method for early prediction and siliqua of oilseed rape shade of a kind of yield of rape |
-
2018
- 2018-06-19 CN CN201810631589.3A patent/CN109041874A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104034852A (en) * | 2014-06-12 | 2014-09-10 | 中国农业科学院油料作物研究所 | Method and model for predicting lodging resistance of soybeans |
| CN104698133A (en) * | 2015-02-28 | 2015-06-10 | 华中农业大学 | Method for predicting brassica napus field stalk lodging angle and application of method |
| CN107314987A (en) * | 2017-06-12 | 2017-11-03 | 华中农业大学 | A kind of method that utilization near infrared spectrum detects rape single plant yield |
| CN107389548A (en) * | 2017-08-02 | 2017-11-24 | 浙江大学 | The method for early prediction and siliqua of oilseed rape shade of a kind of yield of rape |
Non-Patent Citations (2)
| Title |
|---|
| 刘唐兴: "刘唐兴，甘蓝型油菜抗倒伏机理及栽培因子和倒伏的关系研究，湖南农业大学，2011年12月31日，第20-49页", 《甘蓝型油菜抗倒伏机理及栽培因子和倒伏的关系研究》 * |
| 孙盈盈，刘婷婷等: "油菜茎秆特性与抗倒性及产量的关联研究；孙盈盈，刘婷婷等；湖北农业科学，2014年第20期，第4796-4801页，2014年12月31日", 《油菜茎秆特性与抗倒性及产量的关联研究》 * |
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Application publication date: 20181221 |