1449 results about "Phenotype" patented technology

The invention discloses a pennisetum purpureum gene PpbHLH148L and application thereof in improving the cold resistance of plants, and relates to the technical field of gene engineering. The nucleotide sequence of the gene is as shown in SEQ ID NO.5. After the gene is subjected to subcellular localization and expression condition analysis after cold stress, the gene is related to low-temperature tolerance. An overexpression vector of the gene is constructed, Agrobacterium tumefaciens is transferred, then Arabidopsis thaliana infection is carried out, cold tolerance determination is carried out on overexpressed Arabidopsis thaliana, phenotypic difference and physiological index difference between an overexpressed strain after cold treatment and a wild type are observed, and it is found that the gene can significantly improve the low-temperature stress tolerance of Arabidopsis thaliana. And in the low-temperature treatment of the pennisetum alopecuroides transgenic callus, the transgenic callus also shows higher tolerance than the wild callus at low temperature. The pennisetum purpureum gene PpbHLH148L can be used for low-temperature tolerance modification of plants, and has an application prospect in creation of low-temperature-resistant plant materials.

The invention provides a germination form measurement method and system based on improved U-Net to realize automatic measurement, reduce labor cost and significantly improve efficiency, thereby optimizing tomato planting and management. According to the application, the seed germination form acquisition system is used for acquiring images of seed culture and seed germination processes, a data set is constructed, and the data set is used for training the improved U-Net model. According to the invention, the up-sampling of the model is replaced by the DBB module, and the CAA is introduced into the jump joint and the decoder. The MIOU index and the MPA index of the model can be respectively improved by 2.03% and 0.39% compared with those of the basic U-Net. According to the method, based on the segmentation result of the improved model, the radicle length can be extracted in combination with the canny algorithm. Compared with the ImageJ measurement result, the correlation coefficient of the model can reach 0.991, and the measurement efficiency is improved by 300 times. According to the method, the influence of drought, salinization and different molds on tomato radicle germination can be evaluated, and an efficient solution is provided for nondestructive monitoring and crop management in precision agriculture.

The invention belongs to the technical field of agricultural information, and discloses a rape variety environmental adaptability evaluation system based on machine learning. The system is composed of a data acquisition standardization unit, a regional environment feature modeling unit, a variety phenotype and pedigree association unit, a feature screening and model training unit, a regional adaptability scoring and decision-making unit, a dynamic learning and evolution updating unit and an evaluation visualization and variety recommendation unit. By performing standardization processing on multi-source data, format and dimension differences are eliminated, and a high-quality data foundation is laid for subsequent analysis. Fusing environment and variety bilateral characteristics, and enabling the model to capture environment influence and variety heredity characteristics at the same time. Advanced methods such as ensemble learning and a time sequence neural network are adopted, and the complex relation is accurately mined. Compared with a traditional field test and the prior art, errors are greatly reduced, the adaptation degree of the variety in different areas is more accurately judged, a scientific basis is provided for planting recommendation, and the yield and quality of the oilseed rape are improved.

The invention relates to the technical field of bioinformatics, and provides a crop whole genome phenotype prediction method and system fused with an environmental indicator gene, and the method comprises the following steps: collecting re-sequencing data, and carrying out genome comparison to obtain variation site data; performing whole genome association analysis by using the variation site data to obtain phenotype association site information; carrying out gene expression quantity measurement on samples of the crop population material in different environments to obtain gene expression quantity data; performing differential expression analysis on the gene expression quantity data to screen environmental indicator genes to obtain an environmental indicator gene set; constructing a phenotype prediction model of double-branch fusion; and predicting a to-be-predicted material through the phenotype prediction model to obtain phenotype prediction results for different environments. According to the method, environmental factors are incorporated into the whole genome selection model, so that the phenotype prediction precision in different environments is improved.

The invention relates to the technical field of Chinese trumpet creeper breeding, and discloses a Chinese trumpet creeper-based efficient breeding decision support system and method. The method comprises the following steps: acquiring multi-dimensional phenotypic data in a Chinese trumpet creeper breeding test, wherein the multi-dimensional phenotypic data comprises plant height, leaf area, flowering period and yield indexes; performing normalization processing on the multi-dimensional phenotypic data, eliminating influences of different dimensions, and calculating a variable coefficient of each phenotypic index; then screening out phenotypic indexes of which the stability is higher than a preset threshold value based on the variable coefficient, and constructing a Chinese trumpet creeper phenotypic feature matrix; carrying out dimensionality reduction on the Chinese trumpet creeper phenotypic feature matrix by adopting an adaptive weighting algorithm, and extracting key phenotypic features; inputting the key phenotypic features into a genetic algorithm optimization module, and calculating the contribution degree of each genetic locus in combination with the Chinese trumpet creeper genotype data; and constructing a Chinese trumpet creeper breeding decision model according to the contribution degree of the gene locus, and outputting an optimal breeding combination scheme. The system can optimize the Chinese trumpet creeper breeding process and provide effective support for Chinese trumpet creeper breeding work.

The invention belongs to the technical field of sweet potato breeding, and provides an SNP marker related to sweet potato root color and anthocyanin content and application of the SNP marker, the SNP marker is located at the 25658800th site of a chromosome 10a of sweet potatoes, and the base polymorphism is A / T. When the SNP genotype of the sample to be detected is A / T, the content of anthocyanin in the tuberous roots is high, and the color is purple; when the SNP genotype is T / T, the content of anthocyanin in the tuberous roots is low, and the tuberous roots are non-purple in a large probability. According to the detection method and the kit provided by the invention, the efficiency of identifying the purple sweet potatoes by the developed SNP marker through sweet potato natural population phenotype identification and verification reaches 100%, the efficiency of identifying the non-purple sweet potatoes reaches 85.04%, the color of the sweet potato tuberous roots and the anthocyanin content can be rapidly and accurately detected, and the detection method and the kit have the advantages of being simple and convenient to operate, low in cost and the like, and have wide application prospects. The requirement of large-scale molecular marker-assisted selection can be met.

The invention relates to the technical field of teasel breeding, and discloses a teasel germplasm resource multi-character collaborative screening breeding method, which comprises the following steps: multi-omics data acquisition: extracting teasel germplasm leaf DNA (deoxyribonucleic acid), and capturing exon regions of disease resistance and metabolism related genes by adopting a targeted sequencing technology to obtain an SNP (single nucleotide polymorphism) marker matrix; the method comprises the following steps: collecting root extracts, detecting medicinal components through ultra-high performance liquid chromatography-mass spectrometry, and constructing a metabolite abundance matrix; measuring phenotype data of plant height, root length, root weight, root rot morbidity and survival rate under drought stress; key site and metabolite correlation analysis: constructing a Bayesian network containing SNP markers, metabolite and phenotypes by using a graph database, and carrying out cross validation through a leave-one-out method. The dipsacus asper germplasm resource multi-character collaborative screening breeding method aims at solving the problem that a traditional breeding method lacks systematic integration analysis of genomes and metabolic pathways in dipsacus asper multi-character collaborative improvement.

The invention discloses a wheat thousand seed weight identification method based on an SNP molecular marker and application, and relates to the technical field of genetic engineering, and the wheat thousand seed weight identification method comprises the following steps: A1, taking DNA of a wheat sample to be detected as a template, and carrying out PCR amplification by adopting a KASP primer combination according to any one of claims 2-3 or a kit according to claim 4; a2, judging the thousand seed weight of the wheat sample to be detected according to an amplification result. An SNP site related to the thousand seed weight of a plant is obtained through phenotypic difference analysis and exon capture analysis of the thousand seed weight, a corresponding KASP primer combination is designed for the SNP site, and the thousand seed weight of wheat can be rapidly identified through PCR amplification and genotype analysis: the thousand seed weight of AA genotype wheat is significantly higher than that of GG genotype wheat; the method provides an accurate molecular marking tool for high-yield breeding of wheat, has the advantages of high efficiency, accuracy and suitability for high-throughput detection, and has important significance for increasing the yield of wheat.

The invention belongs to the technical field of pepper planting, and discloses a pepper multi-branch gene CaBr1 linked KASP molecular marker as well as a primer, a kit and application thereof, the KASP molecular marker takes pepper S8 (zhangshuang) as a reference genome, and the single nucleotide polymorphism at the 103175415th basic group on the No.8 chromosome is subjected to basic group G-to-A replacement. A chromosome region closely linked with multiple branches of the pepper is obtained by using a BSA (Bovine Serum Albumin) population positioning method, a molecular marker is developed in a candidate region to determine a candidate gene CaBr1, a KASP molecular marker is screened according to base mutation of the candidate gene, and the marker is used for carrying out genotype identification on 90 randomly sampled single plants of an F2 population, and the coincidence rate reaches 100%. The result not only contributes to pepper branch phenotype identification and assistant breeding, but also lays a foundation for map-based cloning of the branch gene and analysis of a molecular mechanism of pepper plant type regulation.

The invention relates to the technical field of molecular markers, in particular to a biomarker related to the zeaxanthin content character of sweet corn kernels and application of the biomarker. The RIL population is used for performing QTL positioning on the corn kernel zeaxanthin content character, it is found that a major QTL related to the sweet corn kernel zeaxanthin content exists on the sixth chromosome of corn, the major QTL is located between SNP sites Schr6: 83027949 and Schr6: 84835891, the phenotype contribution rate of the corn kernel zeaxanthin content is 18.69%, and the major QTL is a major QTL related to the sweet corn kernel zeaxanthin content. The major QTL can be used for screening or auxiliary screening of sweet corn with relatively high zeaxanthin content, when the genotype of Schr6: 83027949 is GG and the genotype of Schr6: 84835891 is AA, the zeaxanthin content is relatively high, technical support is provided for molecular marker-assisted breeding, and the major QTL has important significance in improving the nutritional quality of the sweet corn.

A crop genotype-to-phenotype general prediction method based on multi-task learning comprises the following steps: collecting genotype and phenotype data sets of five crops, performing quality control and coding on genotype data, and performing standardization processing on phenotype data; dividing the data set into a training set and a test set in proportion by adopting a stratified sampling method; by taking genotype data as input and phenotype data as output, a universal prediction model based on a multi-task learning framework is constructed, information sharing among different phenotype prediction tasks is realized, and potential relations between complex phenotypes and genotypes are accurately captured. According to the method, phenotypes can be accurately predicted according to genotypes in the early stage of breeding, so that materials with target characters are rapidly screened, the breeding period is effectively shortened, the breeding efficiency is remarkably improved, and an efficient and universal technical scheme is provided for crop breeding and related research.

The invention discloses a molecular marker closely linked with a cowpea salt tolerance major QTL (quantitative trait loci) and a primer sequence of the molecular marker. The name of the cowpea salt tolerance major QTL is SC300124, a KASP type molecular marker 300124 closely linked with the cowpea salt tolerance major QTL is located at the position of 43716091 bp on a chromosome 11, the marker can be used for amplifying a material to be detected, and whether a sample carries key allelic variation for controlling salt tolerance or not is judged according to the genotype of the marker. The molecular marker and the primer provided by the invention can be used for quickly screening the cowpea salt tolerance major QTL, and compared with a traditional phenotype identification method, the molecular marker and the primer have the advantages of high detection flux, accurate and reliable result and the like, and the typing accuracy can reach 99% or above. The technology can significantly improve the breeding efficiency of the salt-tolerant variety of cowpea and shorten the breeding period.

The invention discloses a method and a system for assisting rice breeding by using a lodging-resistant index, particularly relates to the field of agricultural breeding, and quantifies the lodging-resistant capability of plants by constructing an evaluation model fused with multi-source phenotypic parameters. Key character data are obtained by combining mechanical testing, manual measurement and unmanned aerial vehicle image acquisition, an LRI index is calculated through standardization processing and image recognition, resistance grading is conducted, and lodging-resistant breeding material screening is achieved. According to the method and the system for assisting rice breeding by using the lodging-resistant index, digitization and intellectualization of a rice lodging resistance evaluation process are realized, and scientificity and efficiency of evaluation are remarkably improved. And by introducing an unmanned aerial vehicle remote sensing and image recognition algorithm, the large-scale sample processing capability is improved, and the timeliness and stability of data acquisition are enhanced. A lodging risk thermodynamic diagram and a recommended breeding list can be output through a matched visual analysis function, visual reference is provided for researchers and breeding decisions, and the method has good application and popularization prospects.

The invention relates to the technical field of plant phenotype data processing, in particular to a plant phenotype automatic acquisition and feature processing method oriented to a multi-element environment. According to the method, the plant multi-modal phenotypic data are synchronously collected through the Internet of Things nodes, the coupling strength is calculated in combination with the environmental factors, the phenotypic parameters are divided into an environment sensitive type and a steady type, and the data classification accuracy is improved. A growth trend field is constructed by means of phenological phase decoupling analysis and geographic space superposition, abnormal segments are dynamically eliminated by combining physiological synergy degree and a mutation detection algorithm, and trend analysis stability is enhanced. A phenotype-environment response map is generated through standardized processing and an environment equivalent value model, a key environment sensitive window is recognized, a regional and staged cross-environment regulation scheme is output, intelligent and accurate management of the crop growth environment is achieved, and the method is suitable for agricultural yield increase and breeding optimization.

The invention discloses an application of an OsPES gene and an encoding protein thereof in regulating and controlling the tiller number of rice, and belongs to the technical field of biology. According to the application disclosed by the invention, two OsPES BRCT structural domain homozygous knockout strains Ospesc-cas9-1 and Ospesc-cas9-5, two OsPES overexpression strains OE-OsPES-3 and OE-OsPES-7 and two RNAi (Ribonucleic Acid Interference) interference strains RNAi-OsPES-1 and RNAi-OsPES-6 are respectively obtained by taking japonica rice'cloud guide 'as a background material and utilizing related technologies. Phenotypic observation and statistical analysis find that compared with a wild type, the tiller number of an overexpressed OsPES strain is increased, and the tiller number of an OsPES interference strain and the tiller number of a BRCT structural domain knockout strain are reduced. It is found for the first time that OsPES can positively regulate the tiller number of rice and has application significance in regulation of the tiller number of rice and new strain breeding.

The invention belongs to the technical field of plant gene engineering, and particularly relates to an OsNUC1 gene and application of a gene mutant constructed by the OsNUC1 gene to regulation and control of rice plant height, leaf length and panicle type. The regulation is to regulate the plant height and leaf growth of the rice and influence the shape of the ear part. Compared with the prior art, the OsNUC1 gene mutant has the following advantages: (1) the OsNUC1 is directionally edited by utilizing a CRISPR / Cas9 gene editing technology, an OsNUC1 gene mutant rice material is obtained, the biological phenotype of the OsNUC1 gene mutant rice material is investigated, the phenotype investigation on T1-generation seedlings of the OsNUC1 shows that the plant heights and the leaf lengths of one-week-old and two-week-old seedlings of the mutant are obviously higher than those of wild seedlings, the leaf widths have no obvious difference, and the OsNUC1 gene mutant rice material has a good application prospect; the result shows that the OsNUC1 can regulate the plant height and the leaf growth of the rice and influence the shape of the ear part. (2) it is proved that the nucleolin gene OsNUC1 is negatively regulated by a transcription factor OsARF7, and the phenotypes such as the plant height, the leaf length, the grain length and the grain width of the OsNUC1 / OsARF7 mutant are more obvious than those of the OsNUC1 mutant. The invention further proves the application of the OsNUC1 gene in regulation and control of rice plant height and leaf growth.

The invention relates to the technical field of molecular markers, in particular to an Indel molecular marker related to yellow leaves of a melon seedling growing point and application of the Indel molecular marker. The invention explores a key candidate gene MELO3C016136 for controlling the leaf color of the growth point of the muskmelon seedling, and develops an Indel molecular marker ygp2 for identifying the leaf color change of the growth point of the muskmelon seedling based on the key candidate gene MELO3C016136. The molecular marker ygp2 can be used for identifying the leaf color change character of the growth point of the muskmelon seedling, only one-time PCR amplification and polyacrylamide gel electrophoresis need to be carried out on the DNA of the plant to be detected, the identification result is reliable, the genotype of the target plant can be simply and conveniently identified, and the genotype identification result is completely consistent with the leaf color phenotype of the growth point of the seedling; important technical support is provided for creating new muskmelon germplasm with yellow seedling growing point leaves.

The invention discloses a positioning method of trachinotus ovatus growth trait related QTL (quantitative trait loci) based on 2b-RAD technology and application, the method uses 2b-RAD technology to perform sequencing on 300 trachinotus ovatus full-sib F1 generation and male and female parent individuals and develop SNP (single nucleotide polymorphism) markers, constructs a trachinotus ovatus high-density genetic linkage map, performs linkage positioning analysis in combination with 8 growth phenotype data, and finds that the trachinotus ovatus growth trait related QTL is found. 85 stable QTLs associated with the growth traits are screened out, and the stable QTLs contain 763 SNP sites. The invention also discloses an application of the method in a genetic map of trachinotus ovatus growth character positioning or molecular marker-assisted breeding of trachinotus ovatus, and the SNP molecular markers of trachinotus ovatus can be applied in genetic map construction and growth character positioning. Particularly, the method has a good application prospect in trachinotus ovatus growth trait molecular marker assisted breeding.

The invention discloses a Chinese rose spine shape whole genome SNP molecular marker combination and application thereof, 358 Chinese rose re-sequencing materials and spine shape phenotypic data are subjected to whole genome association analysis, 679 significantly related SNP markers are screened out, and a prediction model is constructed. The probe and the chip provided by the invention can efficiently detect the target SNP site in the Chinese rose genome and predict the thorn shape, have the advantages of high efficiency, accuracy, low cost and the like, can obviously shorten the breeding period and reduce the breeding cost, and provide technical support for genetic improvement and new variety cultivation of Chinese roses.

The invention relates to the field of plant phenotype recognition and intelligent breeding, and discloses a multi-source data fused cotton phenotype characterization and breeding decision convolutional neural network platform, which comprises an image acquisition module, an environment sensing module, a molecular marker input interface, a data preprocessing module, a multi-modal feature extraction network, an attention fusion module and an intelligent decision engine. Image features are extracted through a convolutional neural network, environment response features are modeled through a gated loop network, a uniform phenotypic vector is generated in combination with molecular marker embedding, multi-source features are weighted and fused by adopting an attention mechanism, and high-dimensional phenotypic representation is constructed; and based on the weighted cosine similarity between the target character vector and the candidate individual vector, outputting a sorting result and mating combination recommendation. The method can realize multi-factor joint modeling of complex agronomic traits and target-oriented breeding path decision, has the advantages of high accuracy, high interpretability and high decision transparency, and is suitable for precise breeding and intelligent recommendation of large-scale cotton materials.

The invention relates to the technical field of molecular biology, and discloses 74 core molecular marker sets for identifying cold resistance of pennisetum alopecuroides, a primer group, a detection reagent, a kit, a gene chip and application thereof. According to the method, core germplasm resources of pennisetum alopecuroides are systematically collected, and the GWAS population is constructed by utilizing multi-environment (different altitudes) conditions, so that wide genetic and phenotypic variation is fully covered, and a representative material foundation is laid for cold-resistant genetic analysis. In the aspect of phenotype evaluation, a method for determining the number of reviving and root cutting seedlings after natural overwintering by combining single-root double-stem-node oblique cutting planting is innovatively provided, a set of scientific and stable cold resistance and reproducibility evaluation system capable of being operated in a standardized mode is established, and the reliability and efficiency of phenotype identification are remarkably improved. The detection is not influenced by human and climate environments; the method realizes efficient and accurate early cold resistance identification of pennisetum alopecuroides, greatly improves the breeding screening efficiency and scale, and accelerates the breeding process.

The invention relates to the technical field of crop genetic breeding, in particular to a plateau rape adaptive germplasm breeding method based on multi-character collaborative screening, which comprises the following steps of: constructing a multi-character evaluation system covering more than 20 indexes of four categories of agriculture, physiology, quality and stress resistance, and determining character weights by applying principal component analysis, grey relational analysis and analytic hierarchy process; and acquiring data by combining unmanned aerial vehicle multispectral imaging, a ground phenotype platform and a molecular marker technology, and substituting the data into the comprehensive evaluation model for germplasm screening. According to the method, the limitation of traditional single-character breeding is broken through, multi-dimensional collaborative evaluation is achieved, and the plateau rape germplasm breeding efficiency and accuracy are remarkably improved.

The invention belongs to the technical field of molecular biology and genetic breeding, and discloses a molecular marker of a locus qSGC.A8-3 remarkably associated with glucosinolate in brassica napus seeds and application of the molecular marker. A locus qSGC.A8-3 remarkably related to the glucosinolate content of the rape seeds and a peak SNP marker Bn-A08-p12638473 of the locus qSGC.A8-3 are located at 10th, 557th and 348th basic groups of a reference genome A08 chromosome of the rape DarmorV4.1, the average additive effect is 9.6 mu mol / g, and 7.5% of phenotypic variance can be explained. When the PARMS marker designed by the SNP is used for detecting rape germplasm resources, the PARMS marker is simple and convenient to operate and clear in typing, and the average thioglycoside content of AA genotype material seeds is higher than that of GG genotype material seeds, so that the PARMS marker has a good selection effect on the thioglycoside of the rape seeds.

The invention discloses a molecular marker closely linked with a cowpea salt tolerance major QTL (quantitative trait loci) and a primer sequence of the molecular marker. The name of the cowpea salt tolerance major QTL is SC300126, a KASP type molecular marker 300126 closely linked with the cowpea salt tolerance major QTL is located at the position of 43816166 bp on a chromosome 11, the marker can be used for amplifying a material to be detected, and whether a sample carries key allelic variation for controlling salt tolerance or not is judged according to the genotype of the marker. The molecular marker and the primer provided by the invention can be used for quickly screening the cowpea salt tolerance major QTL, and compared with a traditional phenotype identification method, the molecular marker and the primer have the advantages of high detection flux, accurate and reliable result and the like, and the typing accuracy can reach 99% or above. The technology can significantly improve the breeding efficiency of the salt-tolerant variety of cowpea and shorten the breeding period.

The invention relates to the technical field of litchi phenotype analysis, in particular to a litchi phenotype recognition and weight estimation method based on multi-modal learning, and adopts the technical scheme that an RGB (Red, Green, Blue) image and a depth image are used as bimodal input and are input into a LitchiPhenoNet model to realize detection and segmentation of fruits; an RD fusion module is adopted to significantly improve the multi-modal feature expression capability and segmentation performance, and the fusion strategy integrates texture details of an RGB image and space structure information of a depth image, so that the accuracy and robustness of detection and segmentation are improved; on the basis of geometric features and abstract intermediate features directly extracted by LitchiPhenoNet, fruit weight estimation is performed by adopting a multi-modal regression method, a regression model combines information from two aspects of vision and physics, and by combining the two types of features, the regression model can effectively improve the utilization efficiency and prediction precision of multi-modal data, so that the prediction accuracy of the fruit weight is improved. The multi-modal regression framework effectively integrates complementary information of geometric features and intermediate visual features, so that the accuracy and robustness of litchi weight estimation are improved.

The invention discloses a pig breeding screening method and system based on a body type database, and particularly relates to the technical field of pig breeding screening. The system comprises a multi-modal sign data acquisition and integration module for collecting and standardizing heterogeneous data sources such as phenotypic signs, genomics and environmental parameters of breeding pigs in real time, and a multi-dimensional biological characteristic modeling and analysis module for analyzing a nonlinear action mechanism among genetic markers, phenotypic characteristics and environmental factors, the genetic potential intelligent judgment module is used for quantitatively evaluating spatial expression potential and intergenerational transmission probability of genetic advantages of the breeding pigs through a deep learning algorithm; and the intelligent screening and dynamic monitoring module is used for establishing a multi-dimensional threshold dynamic regulation and control mechanism to realize accurate elimination decision and continuous optimization of a germplasm resource library. According to the method, the screening accuracy is remarkably improved by designing multi-source data fusion and online optimization capability, meanwhile, mistaken elimination is reduced through a redundant superior species temporary storage management module, and collaborative improvement of population genetic diversity and environmental adaptability is ensured.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to corn plant height regulation and application thereof. The sequence of the molecular marker is shown as SEQ ID NO.1, the 201bp site basic group of the sequence from the 5th end shows C / T polymorphism, a temperate zone corn inbred line Ye107 with low plant height is used as a common male parent and is respectively hybridized with one temperate zone and four tropical / subtropical corn inbred lines as female parents, and a corn polyparent group with obvious plant height difference is constructed. GWAS analysis and linkage analysis are used for co-localization to Chr1: SNP-25, 296 and 496 which are located in a chromosome 1 and remarkably related to the plant height, 3.59% of plant height phenotypic variation can be explained through the loci, a functional gene for regulating and controlling the corn plant height is excavated from the loci, and a qRT-PCR result shows that the gene is highly expressed in corn V14 period internodes, so that it is proved that the gene participates in regulation and control height correlation of the corn plant height, and the functional gene is a functional gene for regulating and controlling the corn plant height. Results of the invention provide technical support for efficient and accurate breeding of high-stalk or dwarf high-yield corn varieties by molecular markers.

The invention relates to a quorum sensing intelligent regulation and control method for violaceum violaceum in an antibiotic gradient region, and aims to solve the problems of uncontrollable multi-partition microenvironment and low biological behavior consistency in an existing system, the quorum sensing intelligent regulation and control method for the violaceum violaceum in the antibiotic gradient region comprises the following steps: accurately positioning space partitions, and collecting liquid phase pH, oxygen concentration and nutrient components in each region in real time by an integrated sensor; high-throughput detection and multi-modal data fusion are combined, and an AI model is input to establish association mapping of a liquid / gas phase environment and a biological phenotype. The system automatically generates and optimizes a partition gas component adjustment instruction, realizes spatial synchronous gas phase regulation and control by utilizing a programmable micro-airflow device, and realizes multi-region environment dynamic balance regulation and control in a culture chamber.

The invention discloses an EsSTB1 gene capable of increasing the number of branches of a plant, reducing the plant height and delaying flowering. The EsSTB1 gene has the functions of increasing the number of branches, reducing the plant height and delaying flowering, and a scientific basis and a new material are provided for cooperative regulation and control of tillering formation and reproductive growth of siberian wildrye; besides, the functional verification method of the EsSTB1 gene provided by the invention performs functional verification by applying transgenic arabidopsis thaliana starting from an internal regulation mechanism of tillering regulation of siberian wildrye, has obvious research depth and breadth and technical effects, and can obtain a plant strain with an intentional phenotype. Through verification, the siberian wildrye EsSTB1 gene disclosed by the invention can be used for remarkably increasing the number of branches of a plant, reducing the plant height and delaying flowering. The method is suitable for popularization and application in the biotechnology field.

The invention belongs to the technical field of plant molecular markers, and particularly discloses an Indel molecular marker related to the salt tolerance of brassica napus and application of the Indel molecular marker. The marker is located at the position of an A01 chromosome scafoldA0133077947 of a brassica napus reference genome ZS11.v10, and the genotype of a polymorphic site is CTAA or C. The invention further discloses a method for identifying the marker of the brassica napus. Large-scale group phenotypic association analysis proves that the molecular marker is remarkably associated with the salt tolerance of the brassica napus in the germination period, and when the polymorphic site genotype is CTAA, the salt tolerance in the germination period is high; when the genotype of the polymorphic site is C, low salt tolerance in the germination period is shown. The invention finds that the polymorphic site is obviously associated with the salt tolerance of the brassica napus for the first time, provides a powerful molecular tool for solving the problems of difficulty in phenotype identification, long period and low efficiency in salt tolerance breeding of the brassica napus, can accurately screen salt-tolerant materials in the early stage, and greatly accelerates the breeding process of new varieties of the salt-tolerant brassica napus.