CN104541921B - Comprehensive evaluation method of tea tree annual seedling growth potential - Google Patents
Comprehensive evaluation method of tea tree annual seedling growth potential Download PDFInfo
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- CN104541921B CN104541921B CN201510048685.1A CN201510048685A CN104541921B CN 104541921 B CN104541921 B CN 104541921B CN 201510048685 A CN201510048685 A CN 201510048685A CN 104541921 B CN104541921 B CN 104541921B
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- 235000009024 Ceanothus sanguineus Nutrition 0.000 title abstract description 6
- 240000003553 Leptospermum scoparium Species 0.000 title abstract description 6
- 235000015459 Lycium barbarum Nutrition 0.000 title abstract description 6
- 238000011156 evaluation Methods 0.000 title abstract description 6
- 241000196324 Embryophyta Species 0.000 claims abstract description 45
- 244000269722 Thea sinensis Species 0.000 claims abstract description 41
- 238000000034 method Methods 0.000 claims abstract description 21
- 238000009395 breeding Methods 0.000 claims abstract description 13
- 230000001488 breeding effect Effects 0.000 claims abstract description 12
- 239000000463 material Substances 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 3
- 235000006468 Thea sinensis Nutrition 0.000 claims description 17
- 238000013461 design Methods 0.000 claims description 4
- TWFZGCMQGLPBSX-UHFFFAOYSA-N Carbendazim Natural products C1=CC=C2NC(NC(=O)OC)=NC2=C1 TWFZGCMQGLPBSX-UHFFFAOYSA-N 0.000 claims description 2
- JNPZQRQPIHJYNM-UHFFFAOYSA-N carbendazim Chemical compound C1=C[CH]C2=NC(NC(=O)OC)=NC2=C1 JNPZQRQPIHJYNM-UHFFFAOYSA-N 0.000 claims description 2
- 239000006013 carbendazim Substances 0.000 claims description 2
- 238000005553 drilling Methods 0.000 claims description 2
- 238000002791 soaking Methods 0.000 claims description 2
- 238000011179 visual inspection Methods 0.000 abstract 1
- 235000013616 tea Nutrition 0.000 description 19
- 238000011160 research Methods 0.000 description 7
- 238000010219 correlation analysis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000000366 juvenile effect Effects 0.000 description 2
- 235000020333 oolong tea Nutrition 0.000 description 2
- 241000590988 Danainae Species 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
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Abstract
The invention relates to a comprehensive evaluation method of tea tree annual seedling growth potential. The method is characterized in that breeding material seeds are sowed, weak and small tea seedlings which do not conform to a cuttage seedling nursery standard are removed in September the next year, visual inspection preliminary selection of annual tea seedling growth potential is performed in October, signs are hung on the preliminarily selected good single plants for numbering, and measuring of the main quantitative characters such as plant height, stem thickness and branch number of the annual preliminarily selected good single plants of tea trees is performed in November; in order to eliminate errors caused by dimension among the characters and disparity of numerical values and solve the comparison problems of different characters, the original data of each character is subjected to a dimensionless processing, a character weight scheme of the plant height, stem thickness and branch number is designed to be (1:1:1), the preliminarily selected good single plants are scored one by one according to the weight scheme, the single plates are divided into first-level single plants, second-level single plants and third-level single plants according to scores (S), high-yield varieties are selected from the first-level single plants (S＞/=0.5), standard varieties are selected from the second-level single plants (-0.5＜S＜0.5), and high-quality high-yield varieties are selected from the third-level single plants (S＜/=-0.5). By the comprehensive evaluation method, the yield characters of in tea tree seedling selection can be evaluated early, and breeding efficiency is increased.
Description
Technical field
The present invention relates to a kind of to the synthesis of the annual seedling of the plant quantitative trait related to yield of leave for many years
Evaluation method, the yield early stage being related to Tea Breeding nursery selection is identified, belongs to new tea cultivar breeding technique field.
Background technology
Camellia sinensis are that perennial woody leaf uses crop.High yield is one of main target of Tea Breeding[1、2].However, it is yield
Time-consuming, difficulty is big for the identification of shape and selection.Wight once speculated that often randomly choosing 40,000 plants of Camellia sinensis may be selected a clone, pressed
Conventional breeding, is bred as the time that a kind generally requires 20 years about.For shortening breeding cycle, improve breeding efficiency, each product
Tea state all attaches great importance to the early stage identification of its yield traits and the research selecting[3、4、5].
Shi Yurong, Liu Zusheng[6]Have studied the relation of cuttage seedlings and Camellia sinensis single plant yield；Guo Jichun etc.[7]Have studied
Oolong tea clone juvenile stage character and the dependency of yield；Huanghai Sea great waves etc.[8]Have studied the property of clone young age tea cultivars and strains
Shape and the dependency of yield.
C.k. Niu Guna[9]Have studied that the height of tea shoot in seedling nursery, stem be thick and each period yield and relation.Chu
Generation woods[10]Correlation analysiss have been carried out to the single plant yield and its character of 6 years raw seedling density.
Li Saijun etc.[11]The dependency that have studied Camellia sinensis annual seedling yield traits is it is believed that branch with the number of blade is in
High-positive correlation, thus when proposing tea tree breed selection-breeding, identification and screening grow directly from seeds fine individual plant in thick same of emphasis plant height, stem
When it is contemplated that branch amount.In Tea Breeding program, educate obtaining nature variation group, filial generation colony, mutant materials etc.
After planting original material, the seedling of original material is carried out observing, identifies, individual plant screens, and is the key of breeding success or failure[12].And
Select excellent during annual tea shoot nursery choice of growing directly from seeds is excellent, tea shoot plant height, stem are thick, branch amount selects according to which character on earth？
Their measurement unit differs, and how to carry out selecting？At present both at home and abroad there is not yet reporting for work.
List of references:
The diligent .2000 Prospect on Tea Industry of 1 old ancestor. tea science, 1994 (2): 81～88.
2 mountain passes are clever. the direction from now on of Tea Breeding, the problem that tea tree breed is bred as and prospect (Japanese) .1992,47～
63.
3 Chu generation woodss. improved tea variety early stage identification research is summarized.
4 Hunan Agricultural College chief editors. Tea Breeding (second edition) [m]. Chinese agriculture publishing house the 4th edition, in October, 1999,
Make a gift of gift, Peng Jianhua for 5. tea bush productivity potentiality early stage identifies shallow opinion. Folium Camelliae sinensis communicate,
6 histories are beautiful flourish, Liu Zusheng. the research of tea bush productivity early stage identification. Zhejiang Agricultural Univ's journal, and 1992,18 (5): 27
～34.
7 Guo Ji spring, Ye Naixing, Guo Zhuan. the correlation research [j] of oolong tea juvenile stage character and yield. Fujian agriculture
Report, 2004 (4): 228～231.
8 Huanghai Sea great waves, Yu Jizhong, Zhou Tiefeng etc. the character of young plant cultivars and strains and the correlation analysiss of yield. Hangzhou
Agricultural and science and technology, 2009, (6): 31～32.
9 c.k. knob Gus are received. carry out the long term effect to yield for the nursery selection in nursery. " tea in east africa ",
1976(2).
10 Chu generation woodss. the selection of high yield individual plant in Camellia sinensis seedling density. Fujian tea, 1986 (2): 19～21.
11 monarchs Li Sai etc. Camellia sinensis seedling yield traits dependency relation research. Folium Camelliae sinensis communicate, and 2013 (3).
Content of the invention
The present invention relates to a kind of method of the annual seedling growth gesture overall merit of Camellia sinensis.Basis in correlation research
On to annual grow directly from seeds tea shoot yield traits propose a kind of comprehensive evaluation method it is desirable to Camellia sinensis seed selection in yield traits early stage
Identification proposes a kind of brand-new method.
Method particularly includes:
Thick to the Main Quantitative plant height of annual for breeding material tea shoot fine individual plant, stem, branch amount are measured, right
Initial data application " z-score standardization " of each character carries out nondimensionalization process, design plant height, stem are thick, branch amount (1:
Character weight scheme 1:1), primary election fine individual plant is scored by strain, is divided into (s >=0.5), (- 0.5 s by score (s)
0.5), (s≤- 0.5) Three Estate, makes early stage identification to the yield traits in Camellia sinensis seed selection.
Advantage of this approach is that, this comprehensive evaluation method, early stage mirror can be made to the yield traits in Camellia sinensis seed selection
Fixed, improve breeding efficiency.
Specific embodiment
Authentication method detailed process is as follows:
Step 1, by the breeding material seed such as artificial hybrid's generation or natural hybrid, mutant materials in November then-December
Bottom is sowed after adopting 3% carbendazim (content 50%) solution soaking 3-4 days, and drilling density is 8 × 3；
Step 2, Second Year go out garden standard with reference to cutting seedling by the end of September, except weak, the little tea shoot not meeting out garden standard, October
Part carries out to annual tea shoot growth potential estimating primary election, primary election fine individual plant is listed and numbers；
Step 3,10-11 month measure to the Main Quantitative of annual primary election fine individual plant,
Plant height: to terminal bud base portion () at root neck；
Stem is thick: with slide gauge find range root neck 10 at trunk chi footpath ()；
Branch amount: raw branch (individual) on trunk；
Step 4, initial data standardization
In order to eliminate the greatly different in size error causing of dimension sum value between character, solve relatively asking of various trait data
Topic, this research carries out nondimensionalization process to the initial data of each character, and data processing is using based on initial data average and mark
" z-score standardization " method of quasi- difference.Data z after standardizationijWith initial data xijRelation be
WhereinArithmetic average for each trait data
siStandard deviation for each trait data
Step 5, character weight design
Weight scheme: plant height, stem are thick, branch amount (1:1:1)；
Step 6, fine individual plant score
According to weight scheme, primary election fine individual plant is scored by strain, the result of score, meansigma methodss are 0, higher than meansigma methodss are
Positive number, subaverage is negative.The bigger annual tea shoot individual plant quantitative trait of numerical value is more excellent；
Step 7, for the first time preferably will move into selective nursery by individual plant, and select and expanding propagation for second, be divided into by score (s)
(s > 0.5), (- 0.5 ＜ s ＜ 0.5), (s ＜ -0.5) Three Estate, selection of a high yielding variety in level tea shoot, level tea shoot
Middle selection standard type kind, selects good quality and high output type kind in level tea shoot.
Claims (1)
1. a kind of method of the annual seedling growth gesture overall merit of Camellia sinensis is it is characterised in that by annual for breeding material tea
The quantitative trait plant height of Seedling fine individual plant, stem are thick, branch amount, the number of blade are measured, the initial data application to each character
" z-score standardization " carries out nondimensionalization process, and design plant height, stem are thick, the character weight scheme of branch amount 1:1:1, will just
Select fine individual plant by strain score, be divided into by score s, Three Estate, to Camellia sinensis seed selection in yield traits make early stage
Identification；
Described score s >=0.5 is level, score -0.5 s 0.5 is level, score s≤- 0.5 is level；
Authentication method detailed process is as follows:
Step 1, by artificial hybrid's generation or natural hybrid, mutant materials breeding material seed in November then-adopt by the end of December
3% carbendazim solution is sowed after soaking 3-4 days, and drilling density is 8 × 3；
Step 2, Second Year go out garden standard with reference to cutting seedling by the end of September, except tea shoot that is weak, little, not meeting out garden standard, October pair
Annual tea shoot growth potential carries out estimating primary election, primary election fine individual plant is listed and numbers；
Step 3,10-11 month measure to the Main Quantitative of annual primary election fine individual plant,
Plant height: to terminal bud base portion, unit cm at root neck；
Stem is thick: with slide gauge find range root neck 10 at trunk chi footpath, unit cm；
Branch amount: raw branch on trunk, unit；
Step 4, initial data standardization
In order to eliminate the greatly different in size error causing of dimension sum value between character, solve the comparison problem of various trait data, right
The initial data of each character carries out nondimensionalization process, and data processing is using " the z- based on initial data average and standard deviation
Score standardization " method, data z after standardizationijWith initial data xijRelation be
WhereinArithmetic average for each trait data
siStandard deviation for each trait data
Step 5, character weight design
Weight scheme: plant height, stem are thick, branch amount 1:1:1；
Step 6, fine individual plant score
According to weight scheme, primary election fine individual plant is scored by strain, the result of score, meansigma methodss are 0, are positive number higher than meansigma methodss,
Subaverage is negative, and the bigger annual tea shoot individual plant quantitative trait of numerical value is more excellent；
Step 7, for the first time preferably will move into selective nursery by individual plant, select and expanding propagation for second, be divided into by score s,
Three Estate, selection of a high yielding variety in level tea shoot, selection standard type kind in level tea shoot, select high-quality in level tea shoot
High yield type kind.
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| CN107909278A (en) * | 2017-11-23 | 2018-04-13 | 江苏传智播客教育科技股份有限公司 | A kind of method and system of program capability comprehensive assessment |
| CN111523781B (en) * | 2020-04-14 | 2023-04-25 | 四川大学 | Method for comprehensively evaluating growth vigor of Minjiang fir seedlings in forest environment |
Citations (2)
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|---|---|---|---|---|
| CN102498873A (en) * | 2011-11-01 | 2012-06-20 | 青岛农业大学 | Identification method of Tea plant germ plasma resource seedling-stage coldness resistance |
| CN102650622A (en) * | 2011-02-25 | 2012-08-29 | 安徽农业大学 | Early evaluating method for tea tree winter resistance |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102650622A (en) * | 2011-02-25 | 2012-08-29 | 安徽农业大学 | Early evaluating method for tea tree winter resistance |
| CN102498873A (en) * | 2011-11-01 | 2012-06-20 | 青岛农业大学 | Identification method of Tea plant germ plasma resource seedling-stage coldness resistance |
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| 茶树实生苗数量性状相关关系研究;李赛君等;《茶叶通讯》;20131225;第40卷(第4期);第32-33、46页 * |
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