CN111149694A - Cold region rice cross breeding progeny selection method based on PSR model - Google Patents
Cold region rice cross breeding progeny selection method based on PSR model Download PDFInfo
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Abstract
The invention relates to the technical field of crop genetic breeding, in particular to a cold region rice hybridization breeding progeny selection method based on a PSR model, which makes up the deficiency and the deficiency of constructing a test environment, an evaluation system and a management decision from the static, single and subjective aspects in the current cold region rice hybridization breeding progeny selection. The implementation of this scheme mainly comprises the following steps: (1) creating a conceptual model; (2) designing a technical route; (3) constructing an evaluation system; (4) acquiring index data; (5) calculating a comprehensive index; (6) and selecting excellent offspring. According to the invention, a PSR (particle swarm optimization) patterned breeding theory and method integrating a conceptual model, a technical route and an evaluation system are created, the selection thought and technical means of the filial generation of the rice in the cold region are enriched, and the breeding efficiency and effect of the high-quality high-yield multi-resistance widely-adapted new rice variety are improved.
Description
Technical Field
The invention relates to the technical field of crop genetic breeding, in particular to a cold region rice cross breeding progeny selection method based on a PSR model.
Background
The rice is the first large grain crop in China, is used as a cold-region rice growing region in Heilongjiang province with special ecological environment in the northmost part of China, has the japonica rice yield of more than 50 percent of China, and plays an important strategic role in guaranteeing the national food safety. The breeding and application of the new rice variety make outstanding contribution to the improvement of the yield per unit, the continuous increase of the total yield and the stable improvement of the comprehensive production capacity of the rice in cold regions. However, in recent years, as the rice industry is developed more and more, the rice market is in the current situation that the supply side is larger than the demand side, and the market profit maximization requirements of economic subjects such as rice planting, processing and consumption are also greatly enhanced, so that the society puts new and higher requirements on the excellent characteristics of rice varieties. The selection of filial generation is one of the most important links in the process of breeding rice variety, and the correctness of the method can directly generate great influence on the breeding quality and quantity of new variety. Therefore, how to improve the selection efficiency and effect of the cold-region rice cross breeding progeny has important practical significance.
The importance of selection of hybrid breeding progeny in rice breeding programs is undoubtedly, but if clear theoretical guidance, appropriate technical routes and effective evaluation systems are not available, new breakthroughs in rice breeding practice are difficult to make. At present, the conventional hybrid breeding progeny processing mainly adopts a pedigree method and a mixing method, and other methods derived from the two methods, such as a 'one-grain-pass' mixing method, a group mixing method and the like, but the methods have a common characteristic that each generation of the hybrid adopts relatively consistent field planting conditions, such as soil fertility, cultivation density, irrigation water temperature, disease induction and the like, and the static test environment design which is nearly the same as field production does not exist, the synergistic relationship between the environment and genetic variation is not considered comprehensively and comprehensively, and the influence of the test planting environment and the change thereof on the directional environment selection of the rice hybrid progeny is not considered dynamically.
The existing selection work of hybrid breeding progeny is mainly based on the subjective breeding experience discrimination of breeders in the field, the hybrid progeny is only evaluated from a single angle even if the seed test analysis is carried out, the comprehensive evaluation of multi-dimensional index characters is omitted, and the possibility of evaluation error or low selection efficiency exists. Meanwhile, the comprehensive evaluation method of rice cross breeding progeny is less in application, and the evaluation analysis of one-sidedly and unstable of the variety is carried out by using methods such as main components, clustering and DTOPSIS in certain aspects of low fertilizer resistance, cold resistance and the like. By adopting a comprehensive index analysis method combining entropy weight and efficacy scoring, the method calculates the multi-dimensional character indexes such as yield, quality, stress tolerance and the like of filial generations, can avoid subjective errors, achieves the aim of comprehensively, objectively and scientifically reflecting various information, has stronger conciseness, practicability and operability, and enhances the accuracy of evaluation results.
The PSR model is a theoretical conceptual model reflecting sustainable development provided by economic cooperation development organization and united nations environment planning administration, is a process of mutual influence and mutual restriction of 3 aspects of pressure, state and response, and is also a whole process of taking decision and making countermeasure measures. At present, the model is widely applied to the field of evaluation and research of land quality, ecological safety, marine organism diversity and the like, and has remarkable effect. The selection of rice hybrid breeding progeny is a dynamic system with mutual correlation of environmental influence, genetic expression and decision of breeders, and belongs to the content of a new variety breeding sustainable development framework. However, in the cold region of rice, the environmental stress condition is artificially designed, the filial generation of cross breeding is comprehensively and objectively evaluated, and the research and practice of effective management and systematic decision making are carried out on the behavior of the filial generation, which is rarely reported. Therefore, the method for selecting the filial generation of the cold region rice hybridization breeding based on the PSR model is established based on practical needs of the cold region rice breeding, so that beneficial references and technical supports are provided for further perfecting the selection theory and method of the filial generation of the cold region rice and efficiently breeding a high-quality high-yield multi-resistance widely-suitable new rice variety, and the method has important practical significance.
Disclosure of Invention
In order to overcome the technical problems, the invention provides a selection method of cold region rice hybrid breeding progeny of a PSR model, which makes up the defects and shortcomings of constructing a test environment, an evaluation system and a management decision from the static, single and subjective points in the selection of cold region and rice hybrid breeding progeny in the current year. From the aspects of system dynamics and objective science, the selection of hybrid breeding progeny is comprehensively and comprehensively integrated, accurately and efficiently designed, evaluated and subjected to decision analysis, the breeding efficiency and the breeding effect of the high-quality high-yield multi-resistance widely-adapted new rice variety are further improved, the selection theory and the method of the hybrid breeding progeny of the Heilongjiang rice are perfected, and the problem that the current production urgently needs a breakthrough new rice variety with excellent comprehensive properties is solved.
The technical scheme for solving the technical problems is as follows:
the PSR model-based cold region rice cross breeding progeny selection method comprises the following steps:
(1) creating a PSR conceptual model for the filial generation of the rice in the cold region:
a PSR conceptual model is created for filial generations of rice in cold regions by using a sustainable development concept of taking pressure as a basis, taking properties as a reflection and taking response as a decision.
The method specifically comprises the following steps: designing artificial environment to influence the character expression of filial generation, responding by the breeder, further providing new requirements for the artificial environment design, and promoting the comprehensive expression of the character expression of the filial generation, thereby forming a benign dynamic cycle process of 'action-feedback-re-action'; the method is favorable for comprehensively and comprehensively planning, accurately and efficiently evaluating and deciding the selection of the hybrid breeding progeny, continuously improves the selection quality and efficiency of the hybrid breeding progeny, and finally achieves the purpose of breeding the high-quality high-yield multi-resistance widely-applicable breakthrough new rice variety.
(2) Designing a technical route:
adopting corresponding dynamic evaluation index system, developing each generation of cold region rice filial generation according to hybrid breeding line spectrum method (F)1-FnGeneration) selection processing of materials; i.e.according to hybridization F1-FnAnd (3) designing a corresponding artificial pressure environment according to the heritability characteristics of the generation traits, collecting corresponding trait assessment indexes, and executing management decision measures.
Wherein, the planting environment design is divided into a) the planting environment conditions used by farmers, namely the field management method usually adopted in the local rice planting production process; b) optimizing planting environment conditions, namely artificially designing a field management method which is beneficial to fully expressing the undesirable traits of the hybrid breeding offspring.
And (4) acquiring character indexes, setting corresponding character assessment indexes according to the character hereditary characteristics and practical experience of each generation of hybridization, and performing works such as field investigation and recording, indoor seed test analysis and the like on the corresponding character assessment indexes.
And (5) management decision execution, namely evaluating breeding practice and field management execution conditions of the selection of the hybrid breeding offspring according to the breeding target and the planting scheme.
The pedigree method is a method for processing filial generation of pedigree cross breeding, and is characterized by that the plant selection is started from the first separation generation of hybrid, and the plants are respectively planted into plant lines, and when the plant lines with excellent, stable and consistent properties are selected and bred, then the plant lines with a certain area are identified and compared.
(3) Constructing an evaluation system:
according to the principle of system, science and high efficiency, a PSR evaluation index system is established for the filial generation selection of the cold region rice, which integrates a target layer, a criterion layer and an index layer into a whole, the PSR evaluation index system is set for the filial generation selection of the cold region rice, the criterion layer is pressure, state and response, and the index layer comprises but is not limited to yield, glue consistency and amylose index;
the standard layer evaluates indexes, and the pressure refers to artificially set planting environment, namely favorable for expressing excellent characters of rice by positive pressure design, and conversely, negative pressure design; the state refers to the data expression of each phenotypic character in the rice growth process; response refers to decision management measures of breeders in the breeding implementation process.
The index layer evaluates indexes, and the pressure indexes are quantized index adjustments such as irrigation water temperature, chemical fertilizer application amount, neck blast induction degree and planting density, and the ecological pressure environment is set artificially; the state indexes refer to n assessment characters such as lodging grade, yield, gum consistency, amylose, polished rice rate, neck blast morbidity index, tillering force and the like; the response index refers to the evaluation of quantitative indexes such as the selection rate of filial generation materials, field management, investigation and seed test completion degree and the like in breeding practice.
(4) Acquiring index data:
planting and hybridizing each generation material under the corresponding test environment design condition, performing field investigation and indoor seed test, and collecting and summarizing each state index data; according to the set content of the evaluation index system and relevant standards and methods, the characters of yield, quality, stress resistance and the like of each generation of hybridization are identified in the field and indoor seed test data are collected and summarized.
(5) Calculating a comprehensive index:
adopting an entropy weight effect analysis method and editing source code formulas ① to ⑦ to calculate the collected character index data of each generation of material of crossbreeding;
assuming that n evaluation indexes are given to m evaluation objects, each index raw data matrix can be represented as ①, the normalized data is calculated as formula ②, and the normalized data P is determined:
X＝{xij}m×n(i＝1，2，3，...，m；j＝1，2，3...，n) ①
in the formula, xijThe j index value represents the ith evaluation object;
in the formula, PijThe comprehensive standardized value of the jth index of the ith system is shown, and m is the number of evaluation units;
P＝{pij}m×n(i＝1，2，3，...，m；j＝1，2，3，...，n)
in the formula, PijIndicating the j normalized index value of the ith evaluation object;
the evaluation index information entropy is calculated and can be represented as the following ③ formula:
in the formula, ejEntropy of information representing the j-th index, if pijWhen 0, then
Each index weight, i.e., entropy weight, is calculated as the following ④:
calculating the coefficient value b of the membership function of each indexijAnd determining an efficacy matrix B as shown in formulas ⑤ (indexes are both positive benefits) and ⑥ (indexes are both negative benefits).
B＝{bij}m×n(i＝1，2，3，...，m；j＝1，2，3，...，n)
In the formula, bijThe power coefficient of the jth index of the ith system is represented;
the calculated overall efficacy goodness index is shown by the following formula ⑦:
in the formula, CIijDenotes the comprehensive merit index, W, of the ith system index jjRepresenting the weight of the jth index.
(6) Selecting excellent offspring:
and screening excellent hybrid progeny materials according to the magnitude of the comprehensive index value, wherein the more the comprehensive index value is, the more excellent the comprehensive character of the hybrid breeding progeny is, and vice versa, so that the selection and identification of each generation of the tested hybrid progeny are carried out, and finally, the seedling head line with excellent comprehensive character is screened out for variety approval.
The invention has the beneficial effects that:
the invention provides a cold region rice hybridization breeding progeny selection method based on a PSR model, which can accelerate the cold region high-quality high-yield multi-resistance widely-suitable rice breeding process, improve the breeding efficiency and effect of new varieties and save the cost; simultaneously, the method also has the following advantages:
(1) the method creates a PSR (particle swarm optimization) patterned breeding theory and method integrating a conceptual model, a technical route and an evaluation system, and enriches the selection thought and technical means of the filial generation of the rice crossbreeding in the cold region, thereby accelerating the rice breeding process.
(2) The method provided by the invention realizes comprehensive and objective presentation of comprehensive information of the multi-dimensional characters of the hybrid breeding offspring by using a dynamic test environment, avoids the possibility of subjective evaluation error or low selection efficiency, and has the advantages of simplicity, practicality and operability.
(3) The method can save cost, and the adverse characters such as lodging, diseases, cold resistance and the like can be induced to be fully expressed in the pressure environment of the breeding nursery, so that adverse combinations (strains) are directly eliminated, and the field selection and indoor seed testing workload and the next generation planting cost are saved.
(4) The method provided by the invention can be used for setting up the practical needs of rice breeding in cold regions, and comprehensively planning, accurately and efficiently designing, evaluating and performing decision analysis on the selection of hybrid breeding offspring from the aspects of system dynamics and objective science, so that the breeding efficiency and effect of the high-quality high-yield multi-resistance widely-adapted new rice variety are improved.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a diagram of a PSR conceptual model selected from the progeny of cross breeding of rice in cold regions according to the present invention;
FIG. 3 is a PSR model-based cold region rice cross breeding progeny selection technical route diagram of the present invention;
FIG. 4 is a PSR evaluation index system diagram selected from the cold region rice cross breeding progeny.
Detailed Description
Example 1:
and breeding the rice variety Suizhijing 18.
(1) In 2000, 68 hybridization combinations were prepared, and 15-30 grains were harvested from each combination. Wherein, the male parent is Suljing No. 18F with Suljing No. 4 as female parent and Suljing No. 3 as male parent0Generation hybrid combination (code number SJ hybrid 0026) to obtain F024 seeds.
(2) Selecting a PSR model and technical route requirements according to the filial generation of the cold region rice cross breeding, and constructing an evaluation system as shown in tables 1-3.
TABLE 1 selection of field design protocols for PSR patterned crossbreeding progeny
Note: the "√" represents the field protocol employed.
In table 1, fwp (polymers water irrigation practice) refers to that farmers are accustomed to water irrigation management, that is, the farmers normally irrigate the rice with natural water in the growth period; the OWP (optimal water irrigation practice) refers to the optimized water irrigation management, namely, the paddy rice is irrigated by cold water at a constant temperature of about 17 ℃ in the daytime from the young ear differentiation period (the length of the young ear is 1.5 cm), the cold water is mixed water of underground deep cold water and natural water, the water layer is irrigated for 8 hours every day, the water layer is kept at about 20 cm, and the paddy rice is irrigated continuously until all late-maturing varieties emerge, and the other periods are the same as the FWP.
In Table 1, FFP (polymers fertilization practice) refers to the habit of farmers for fertilization management, i.e. 150kg of pure N and P per hectare2O5The amount of K is 60kg250kg of O, 40 percent of nitrogenous fertilizer as base fertilizer, 60 percent of additional fertilizer and phosphorus and potassium fertilizer as base fertilizer; OFP (optimal fertilization practice) refers to optimized fertilization management, wherein the OFP1 nitrogen fertilizer is increased by 20 percent compared with FFP, the phosphate fertilizer amount is unchanged, no potassium fertilizer is applied, 30 percent of nitrogen fertilizer is used as a base fertilizer, 70 percent of nitrogen fertilizer is used as an additional fertilizer, all the phosphate fertilizer is applied as the base fertilizer, and the OFP2 nitrogen fertilizer is appliedIncreased by 10% over FFP, otherwise the same as OFP 1.
FRP (polymers rice blast practice) in Table 1 refers to the habit of farmers to manage rice blast, namely, in the early stage of rice blast incidence, adopting medicament preventive measures; ORP (optimal rice blast practice) refers to the optimized rice blast management, namely that no medicament is adopted for preventing rice blast in the whole growth period of rice, meanwhile, a susceptible variety I79-5 is inserted around a test field and in a field aisle, and diseased rice straws which are cut into rice sections with the length of 1-2cm in the last year are put in the susceptible variety I79-5.
FDP (polymers mutations practice) in Table 1 refers to the habit density cultivation management of farmers, namely 25 holes/m2(30 cm. times.13 cm), 3-5 strains per hole; ODP (optimal characteristics practice) refers to the optimized density cultivation management, namely ODP1 is 33 holes/m2(30 cm. times.10 cm) with 1 strain per well, and ODP2 of 25 wells/m2(30 cm. times.13 cm) with 1 strain per well, and ODP3 at 33 wells/m2(30 cm. times.10 cm), 3 strains per well.
TABLE 2 PSR patterned crossbreeding progeny selection determination index settings
Table 2 shows the data collection of the neutral indexes, which are carried out according to the methods of "national quality and technical supervision agency plant new variety specificity, consistency and stability test guidelines rice [ M ], Beijing Chinese agriculture Press (2007)" and "national standards of the people's republic of China (GB/T17891-1999) high-quality rice" and agricultural industry standards (NY147-88) determination of rice quality ".
TABLE 3 evaluation of PSR patterned crossbreeding progeny selection decision results
| Year of year | Generation of generation | Material percent of pass | Degree of field management | Investigation and seed test degree |
| 2001 | F1 | √ | √ | √ |
| 2002-2003 | F2-F3 | √ | √ | √ |
| 2004-2005 | F4-F5 | √ | √ | √ |
| 2006 | F6 | √ | √ | √ |
| 2007 | F7 | √ | √ | √ |
| 2008-2010 | F8-F10 | √ | √ | √ |
In Table 3, the material selection percentage is the percentage of the combination (line) of the progeny of the selected cross in the current year to the total number of plants, wherein F1-F3Calculated as the combination of the filial generation, F4And calculating later generations by using hybrid progeny strains; the field management degree refers to the completion condition of the planting scheme, and is divided into good (90-100 points), good (80-89 points), good (60-79 points) and poor (less than 50 points) by adopting an expert group scoring method; the investigation of the degree of the test is to measure the completeness and accuracy of the test on the relevant state indexes, and the test is divided into good (90-100 points), good (80-89 points), good (60-79 points) and poor (less than 50 points) by adopting an expert group scoring method.
(3) According to the design requirements of tables 1-3, the genealogical method is used for planting each generation of hybridization (F)1-F10) And (3) the materials are combined with selection standards (shown in table 4) of the character indexes of each generation, and a method of combining field investigation and indoor seed test is adopted to collect and summarize corresponding character data of the filial generation materials and calculate a comprehensive index, so that the filial generation materials with excellent comprehensive characters are screened out and examined, determined and popularized.
TABLE 4 criteria for selection of progeny from PSR patterned cross breeding
In Table 4, the growth period is within 5 days earlier than the control variety Danjiang 19, the plant type convergence is that the included angle between the connecting line of the leaf from the cammed leaf to the leaf apex and the extension line of the stalk is not more than 45 degrees, the ear type is medium, that is, the plant type is half-bent ear type or more (the included angle between the connecting line of the leaf from the cammed leaf to the ear apex and the extension line of the stalk is not more than 50 degrees after 15 days after the ear alignment), the plant type is medium (the number of particles per ear is not more than 100 and not more than 120), the particle type is the length-width ratio, and the empty shell rate is not more than 20%, that is OWP, and. The yield is compared with that of the rice No. 4 seiijing.
In 2007F7The generation strain and the JDY1-3 strain in 2010 of 2008-adulthood are examples, and the comprehensive index value of the main character is calculated according to a formula ① - ⑦2-F6Generation calculation method and F7The generations are the same.
2001, F1Planting and selecting. F including SJ Cross 0026 in 4-month middle ten-day seedbed168 generation hybrid combinations, transplanting seedlings in the field in the last 5 months, investigating the hybrid combinations without false hybrids and serious defects in the field, and harvesting 1482 individual plants of the hybrid combinations in the 10 middle days (wherein, the hybrid combinations comprise SJ hybrid 0026 and 24 individual plants). The combination selection rate of filial generation, field management and investigation and seed test are respectively 100%, 95% and 97%.
2002, F2Planting and selecting. Sowing (transplanting) is carried out according to the hybridization combination arrangement, and 1482 lines combined by 68 lines are planted in total. Planting time and F1The same is true. The planting method comprises the following steps: planting 2 rows and 10 m in length on each single spike of each hybridization combination, planting 2964 spike rows in total, and planting control Suizhijing No. 4 adjacent to the combination. The selection method comprises the following steps: the field investigation is combined with the indoor seed test, the field investigation directly eliminates the combination which does not reach the selection index, and the combination is selected for the indoor seed test. 15 hybrid progeny combinations are directly eliminated in the field, wherein 2 hybrid progeny combinations are eliminated when the growth period exceeds the standard, 6 hybrid progeny combinations are eliminated when the lodging exceeds the standard, 4 hybrid neck blast combinations are eliminated when the head-neck blast exceeds the standard, 2 hybrid progeny combinations are eliminated when the empty hull rate exceeds the standard, 1 hybrid progeny combination is eliminated when the plant height exceeds the standard, and 2 hybrid progeny combinations are eliminated when the plant type is not suitable; and 3 combinations of over-standard whiteness and chalkiness rice rate of the test seeds are eliminated. F2The generation harvests total 49 combined 359 strains 7210 individuals (including SJ cross 0026, F)2And harvesting 300 strains of 12 lines together in generation). The combination selection rate of filial generation, field management and investigation and seed test are respectively 72%, 96% and 95%. And entering the next year of test.
2003, F3Planting and selecting. Planting and selecting method thereof and2the same generation, 49 combination 7210 lines were planted in total. 9 combinations are eliminated by field investigation, wherein 4 combinations are eliminated in the growth period, 1 combination is eliminated by lodging, 1 combination is eliminated by neck blast, 2 combinations are eliminated by the empty hull rate, and 1 combination is eliminated by the plant type. The species tested out 6 combinations in total, wherein the yieldEliminate 4, the chalkiness degree, chalkiness rice rate eliminate 2. F3The generation eliminates 15 combinations altogether, and obtains 2654 single plants of 126 strains of 34 combinations altogether (including SJ cross 0026, F)3The generation harvests 100 individuals of 7 lines). The combination selection rate of hybrid progeny, field management and investigation and seed test are 69 percent, 94 percent and 95 percent respectively. And entering the next year of test.
2004, F4Planting and selecting. A total of 34 combined 2654 lines were planted. The planting method comprises the following steps: planting and selecting method under FWP condition and F2The generations are the same; OWP Each strain was inserted 2 rows and 1 m long, and 3 times of repetition was carried out under the same FWP conditions. The selection method comprises the following steps: the void fraction data were subject to the OWP condition, and the other data were subject to the FWP condition. OWP condition field investigation and indoor seed test, 902 strains are eliminated when the rate of empty shells exceeds standard, and 744 strains are eliminated (not including OWP eliminated strains) by FWP condition field investigation and indoor seed test. F416 combinations are eliminated in the generation, 18 combinations 1008 strains are selected in the generation (including SJ crossing 0026,F80 individuals were harvested in the 4 th generation). The selection rate of hybrid progeny strains, field management and investigation and seed test are respectively 38 percent, 97 percent and 97 percent. And entering the next year of test.
2005, F5Planting and selecting. Planting and selection method and F4The generations are the same. A total of 18 combination 1008 lines were planted. F55 combinations are eliminated in the generation, and 403 strains (including SJ cross 0026 and F) of 13 combinations are selected575 individuals were harvested in the generation). The selection rate of hybrid progeny strains, field management and investigation and seed test are respectively 40 percent, 97 percent and 97 percent. And entering the next year of test.
2006, F6Planting and selecting. Planting and selection method and F4The generations are the same. And 13 combined lines of 403 lines are planted in a total way. F6The generation totally eliminates 16 combinations, and totally selects 141 strains of 5 combinations (including SJ cross 0026, F)655 individuals were harvested in the generation). The selection rate of hybrid progeny strains, field management and investigation and seed test are respectively 60 percent, 97 percent and 97 percent. And entering the next year of test.
2007, F7Planting and selecting. Single ear seed of each hybrid combination strainPlanting and selecting method under conditions of planting 4 rows and 10 m in length and OWP, and F4The generation is the same, 141 strains of 5 combinations are planted in the field, 21 strains are directly eliminated in the field, 120 indoor test seeds of the strains are calculated according to a formula ① - ⑦, the comprehensive index values (only the front 30 bits and the rear 30 bits of the comprehensive index values are listed due to space limitation) are calculated, for example, the table 5 and the table 6 are shown, according to the size of the comprehensive index values, 5 combinations and 20 strains (the front 20 bits of the comprehensive index values) are selected, wherein SJ077083 is SJ cross 0026 filial generation strains, the rates of the filial generation strains, the field management and the survey test seeds are respectively 17 percent, 98 points and 98 points, and the next year of experiment is carried out.
TABLE 52007F 7 filial generation status index weighted value
| The times of the year | X1 | X2 | X3 | X4 | X5 | X6 | X7 | X8 | X9 | X10 | X11 |
| 2007 | 0.1053 | 0.0006 | 0.0003 | 0.0006 | 0.0016 | 0.0014 | 0.8482 | 0.0003 | 0.029 | 0.0003 | 0.0126 |
In table 5X represents the trait: lodging grade X1, activity accumulated temperature X2, yield X3, gel consistency X4, amylose X5, polished rice rate X6, panicle neck blast X7, thousand kernel weight X8, empty hull rate X9, brown rice rate X1O and tillering force X11. Wherein X1, X5, X7 and X9 are negative indicators, and other characters are positive indicators.
Table 62007F 7 generation hybrid breeding progeny line comprehensive index value
In 2008, JDY1 is planted and selected, 150 square meters (10 rows and 10 meters in row length) are planted according to strain arrangement under the FWP condition, the planting method under the OWP condition is the same as that of F4 generation, according to the formula ① - ⑦, the comprehensive index values of all strains are calculated, such as tables 7 and 8, 4 combinations are selected according to the size of the comprehensive index values, 9 strains (the comprehensive index values are larger than that of a reference), wherein JDY114, JDY103 and JDY119 are SJ cross 0026 hybrid progeny strains, the selection rate of the hybrid progeny strains, the field management and the investigation and test are respectively 45, 98 and 98 scores.
TABLE 72008 strain JDY1 State indicator weight values
| The times of the year | X1 | X2 | X3 | X4 | X5 | X6 | X7 | X8 | X9 | X10 | X11 |
| 2008 | 0.1499 | 0.0004 | 0.0011 | 0.0005 | 0.0015 | 0.001 | 0.7969 | 0.0002 | 0.0407 | 0.0006 | 0.0073 |
TABLE 82008 year JDY1 strain integrated index value
2009. In 2010, JDY2-3 was planted and selected. According to the same calculation method as JDYl, the first 5 (the ranked 1 st of the hybrid progeny plant of SJ cross 0026, namely JDY205) were screened in 2009 and the first 2 (the ranked 1 st of the hybrid progeny plant of SJ cross 0026, namely JDY303) were screened in 2010, which are shown in tables 9 and 10. The selection rate of the 2009 hybrid progeny plant line, field management and investigation and seed test are respectively 55%, 97 min and 98 min. The selection rate of the 2010 hybrid progeny plant, the field management and the investigation and seed test are respectively 40 percent, 98 percent and 98 percent.
TABLE 92009, 2010 JDY2-3 Strain State index weight values
| The times of the year | X1 | X2 | X3 | X4 | X5 | X6 | X7 | X8 | X9 | X10 | X11 |
| 2009 | 0.1126 | 0.0003 | 0.0004 | 0.0003 | 0.0002 | 0.0003 | 0.8481 | 0.0002 | 0.0269 | 0.0003 | 0.0104 |
| 2010 | 0.1124 | 0.0001 | 0.0005 | 0.0007 | 0.0001 | 0.0004 | 0.8463 | 0.0003 | 0.0260 | 0.0003 | 0.0129 |
TABLE 102009, 2010 JDY2-3 line composite index values
Through the identification in 2010 in 2008-year and 2010-year, a decision-selection code number SJ07783 strain (SJ cross 0026 filial generation strain) in 2007 participates in a variety approval area test in Heilongjiang province, and the reference code number is Suilan 07783. 2011 plus participates in a second low limit production test of the temperature accumulation zone in Heilongjiang province in 2012, 2013 participates in the second low limit production test of the temperature accumulation zone in Heilongjiang province, and 2014 passes the approval committee of the variety of the Heilongjiang province and is named as Suizhijing 18.
The rice variety of the Suizhijing No. 18 rice: the growth period is good, and the cultivation method is suitable for planting in the second temperature zone of Heilongjiang province; the quality is excellent, the fragrance is light and palatable, and all indexes reach the level 2 of the national high-quality rice standard; the yield is high and stable, and the yield of the large-area popularization hectare in 8450 and 8762 kilograms in 2015 and 2016; the stress resistance is strong, the stalk is tough and cannot fall down, the disease resistance and the cold resistance are high, the 1 grade of the leaf blast and the 1 grade of the panicle neck blast are identified by inoculating in 2013 after 2011-. 2015-2018, 208.2 million hectares are accumulated and popularized, and 2018, 67.6 million hectares are planted and popularized, which is the variety with the largest planting and popularization area in Heilongjiang province at present.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications and equivalent variations of the above embodiment according to the present invention are within the scope of the present invention. Unless otherwise defined, all terms of art used in the present invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of the present invention. Unless otherwise specifically stated, various test materials, instruments, reagents, equipment and the like used in the present invention are commercially available or can be prepared by existing methods. The used crop varieties (lines) are all the varieties (lines) which are conventionally used in the breeding field, and can be obtained in a variety resource bank or purchased in the market through national or provincial approval or technical identification.
Claims (3)
1. The PSR model-based cold region rice cross breeding progeny selection method is characterized by comprising the following steps of:
(1) creating a PSR conceptual model for the filial generation of the rice in the cold region:
designing artificial environment to influence the character expression of filial generation, responding by the breeder, further providing new requirements for the artificial environment design, and promoting the comprehensive expression of the character expression of the filial generation, thereby forming a benign dynamic cycle process of 'action-feedback-re-action';
(2) designing a technical route:
selecting and processing each generation material of the cold region rice filial generation by adopting a corresponding dynamic evaluation index system according to a hybrid breeding line spectrum method;
(3) constructing an evaluation system:
according to the principle of system, science and high efficiency, a PSR evaluation index system is established for the filial generation selection of the cold region rice, which integrates a target layer, a criterion layer and an index layer into a whole, the PSR evaluation index system is set for the filial generation selection of the cold region rice, the criterion layer is pressure, state and response, and the index layer comprises but is not limited to yield, glue consistency and amylose index;
(4) acquiring index data:
planting and hybridizing each generation material under the corresponding test environment design condition, performing field investigation and indoor seed test, and collecting and summarizing each state index data;
(5) calculating a comprehensive index:
calculating comprehensive index values of all state indexes of each generation by adopting an entropy weight effect analysis method;
(6) selecting excellent offspring:
and screening excellent hybrid progeny materials according to the magnitude of the comprehensive index value, wherein the more the comprehensive index value is, the more excellent the comprehensive character of the hybrid breeding progeny is, and vice versa, so that the selection and identification of each generation of the tested hybrid progeny are carried out, and finally, the seedling head line with excellent comprehensive character is screened out for variety approval.
2. The PSR model-based cold region rice cross breeding progeny selection method as claimed in claim 1, wherein the design technical route of the step (2) adopts a corresponding dynamic evaluation index system according to a cross F1-FnAnd (3) designing a corresponding artificial pressure environment according to the heritability characteristics of the generation traits, collecting corresponding trait assessment indexes, and executing management decision measures.
3. The PSR model-based selection method for progeny of cross breeding of cold rice as claimed in claim 1, wherein the entropy-weighted power analysis method in step (5) is calculated as follows:
assuming that m evaluation objects and n evaluation indexes are given, an original data matrix X of each evaluation index is established as { X ═ Xij}m×n(i-1, 2, 3, …, m; j-1, 2, 3 …, 11) according to
Calculating normalized data P ═ { P ═ Pij}m×n(i-1, 2, 3, …, m; j-1, 2, 3, …, n) uses
Calculating the entropy and weight of evaluation index information and applying
Or
Calculating the coefficient value b of the membership function of each indexijDetermining the power matrix B ═ Bij}m×n(i-1, 2, 3, …, m; j-1, 2, 3, …, n) uses
And calculating the comprehensive excellent index of efficacy.
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| CN111797499A (en) * | 2020-06-02 | 2020-10-20 | 黑龙江省农业科学院绥化分院 | Multi-objective optimization method for crop breeding |
| CN111797499B (en) * | 2020-06-02 | 2023-12-15 | 黑龙江省农业科学院绥化分院 | Crop breeding multi-objective optimization method |
| CN111631132A (en) * | 2020-07-16 | 2020-09-08 | 黑龙江省农业科学院绥化分院 | Breeding method of herbicide-resistant dry-planting rice variety |
| CN112231559A (en) * | 2020-10-13 | 2021-01-15 | 黑龙江省农业科学院绥化分院 | Crop breeding method |
| CN112970483A (en) * | 2021-02-07 | 2021-06-18 | 东北农业大学 | Early-stage simulation experiment device and method for cold damage resistance identification of paddy rice in cold region |
| CN112970483B (en) * | 2021-02-07 | 2023-11-17 | 东北农业大学 | Early-stage simulation experiment device and method for cold injury resistance identification of rice in cold region |
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