Modern Breeding Research Articles

A neural network for phenotyping Fusarium‐damaged kernels (FDKs) in wheat and its impact on genomic selection accuracy

AbstractFusarium head blight (FHB) remains one of the most destructive diseases in wheat. Primarily caused by the mycotoxigenic fungi Fusarium graminearum, FHB results in both widespread yield loss and deoxynivalenol (DON) contamination of wheat grain. Phenotyping for Fusarium‐damaged kernels (FDKs) is the most efficient estimate of resistance to DON accumulation outside of performing costly and time‐consuming laboratory assays. However, manual phenotyping for FDKs can be tedious and highly subjective to observers. This study developed and tested an open‐access, easy‐to‐use, and effective method for phenotyping FDKs using a neural network capable of analyzing cell phone camera images. Quantitative genetic analysis of FDK data generated by our trained neural network found that the trait had a broad sense heritability of 0.48, and its phenotypic and genetic correlations with DON were 0.41 and 0.58, respectively. To determine if our neural network‐derived FDK data could be useful in a modern breeding scenario, we included it in a multi‐trait genomic selection (GS) model and evaluated the model's ability to predict DON. We found that including FDK data generated by our trained neural network on the test set during GS model training more than doubled GS accuracy, but the highest accuracy was obtained using conventional FDK data. Although further training is needed to improve the capabilities of our neural network, initial testing shows encouraging results and demonstrates the possibility of providing an automated and objective phenotyping method for FDKs that could be widely deployed to support FHB resistance breeding efforts.

Reproductive Performance of Tunisian Arabian Stallions: A Study on the Variance and Estimation of Heritability.

A consistently high level of stallion fertility plays an economically important role in modern horse breeding. To better understand the factors affecting variation in stallion fertility, we have performed a statistical analysis study on some breeding factors: year of breeding, stud farm, age of the stallion, number of covered mares per stallion, reproduction methods, and age of the mare. This work was conducted on 94 purebred Arabian stallions in four different regions of Tunisia. The results showed an increase in the number of stallions during the study period, ranging from 11.33% in 2011 to 13.29% in 2018. Sidi Thabet's stud farm contained the highest number of purebred Arabian stallions. The majority of stallions were between 15 and 21 years old and had covered 1 to 20 mares; 95.19% of stallions were used in natural mating (Nat); 50.36% had low fertility, 17.69% had medium fertility, and 32.3% had excellent fertility according to fertility standards. Depending on the year and stud, there was a variation in fertility per cycle (FERPCE) and end-of-season fertility (FERPSE) of the stallions. The highest average FERPCE and FERPSE values were obtained using artificial insemination with fresh semen (AIF). Analysis of FERPCE and FERPSE showed that the model used in our study explained 40.21% of total variability observations for FERPCE and 42.1% for FERPSE. The used statistical model showed that the breeding year, the stud, the age of the stallion, the number of covered mares by stallions and the method of reproduction significantly affected both FERPCE and FERPSE (with p = 0.001). Low to moderate heritability estimations for FERPCE (hs2 = 0.08) and FERPSE (hes2 = 0.36) were obtained.

Unraveling the Variability of Essential Oil Composition in Different Accessions of Bunium persicum Collected from Different Temperate Micro-Climates

The present investigation was performed to evaluate the variability of the essential oil composition present in the seed extract of Kala zeera (Bunium persicum Bioss.) obtained from different geographical zones of Northwestern-Himalayan using Gas Chromatography-Mass Spectrum (GC-MS). The results of the GC-MS analysis revealed significant differences in the essential oil content. Significant variability was observed in the chemical constituents of the essential oils mainly for p-cymene, D-limonene, Gamma-terpinene, Cumic aldehyde and 1, 4-p-menthadien-7-al. Among these compounds, the highest average percentage across the locations was observed for gamma-terpinene (32.08%) which was followed by cumic aldehyde (25.07%), and 1, 4-p-menthadien-7-al (15.45%). Principal component analysis (PCA) also grouped the 4 highly significant compounds i.e., p-Cymene, Gamma-Terpinene, Cumic aldehyde, and 1,4-p-Menthadien-7-al into same cluster which are mainly distributed in Shalimar Kalazeera-1, and Atholi Kishtwar zones. The highest value of gamma-terpinene was recorded in Atholi accession (40.66%). However, among climatic zones Zabarwan Srinagar and Shalimar Kalazeera-1 was found to have highly positive significant correlation (0.99). The cophenetic correlation coefficient (c) was found to be 0.8334 during hierarchical clustering for 12 essential oil compounds showing that our results are highly correlated. Network analysis also showed the overlapping pattern and similar interaction between the 12 compounds as shown by hierarchical clustering analysis. From the results, it could be concluded that existence of variability among the various bioactive compounds of B. persicum which are probably to be incorporated to the potential list of drugs and may serve as good genetic source for various modern breeding programs.

Some Methodological Approaches to the Identification of Heat Resistant Genotypes of Cultivated Plants (on the Example of Cereals)

The problem of cultivated plants resistance to heat as the effect of high air temperatures leading to physiological drought is extremely relevant not only in the conditions of predicted climate aridization, but also when studying the effects of relatively short-term “heat waves”. Modern breeding is focused on the creation of high-yielding heat-resistant varieties of cultivated plants, especially cereals as the main world food resource. During breeding developments, it is necessary to first identify heat-resistant cereal genotypes for their insertion in the appropriate programs. The article provides a critical analysis of a number of approaches presented in the literature to identify such genotypes (modeling of the effect of the high temperature stress factor in experimental conditions in situ; the use of anthers in such conditions as the generative structures more sensitive to the effects of this stress factor in comparison with vegetative organs), which can be assessed as methodological. In addition, from the standpoint of descriptive and experimental plant embryology, the use of interrelated concepts (developed by T.B. Batygina, 2014 and earlier) is proposed as the promising methodological approach: the assessment of the anther as the complex integrated tissue system and the presence of critical stages in the development of this system.

Vertical farming for crop production

Vertical farming for crop production

Smart breeding driven by advances in sequencing technology

AbstractCrop breeding has undergone numerous advancements throughout history with the next revolution being uncertain. This review provides an overview of breeding techniques from traditional selective breeding and crossbreeding to modern breeding based on molecular marker‐assisted and genomic selection. Systematic analysis of the mainstream genotyping approaches based on principle, application scenario and supporting software revealed that the changes in genotyping technology have led to an explosion in data. This data expansion will drive a breakthrough in sequencing technology and integrate artificial intelligence with automation. The review also discusses the technological changes associated with breeding during the big data era, including breeding models, genotyping technologies and future intelligent breeding, to provide references for crop breeders. The paper highlights the potential of smart breeding technologies driven by advances in sequencing technology, which will lead to the development of new breeding strategies and accelerate the breeding process.

Armadillo repeat only protein GS10 negatively regulates brassinosteroid signaling to control rice grain size.

Grain yield and grain quality are major determinants in modern breeding controlled by many quantitative traits loci (QTLs) in rice (Oryza sativa). However, the mechanisms underlying grain shape and quality are poorly understood. Here, we characterize a QTL for grain size and grain quality via map-based cloning from wild rice (W1943), GS10 (Grain Size on Chromosome 10), which encodes a protein with 6 tandem armadillo repeats. The null mutant gs10 shows slender and narrow grains with altered cell size, which has a pleiotropic effect on other agronomical traits. Functional analysis reveals that GS10 interacts with TUD1 (Taihu Dwarf1) and is epistatic to OsGSK2 (glycogen synthase kinase 2) through regulating grain shape and lamina joint inclination, indicating it is negatively involved in brassinosteroid (BR) signaling. Pyramiding gs10 and the grain size gene GW5 into cultivar GLA4 substantially improved grain shape and appearance quality. Natural variation analysis revealed that gs10 from the wild rice Oryza rufipogon W1943 is a rare allele across the rice population. Collectively, these findings advance our understanding of the underlying mechanism of grain shape and provide the beneficial allele of gs10 for future rice breeding and genetic improvement.

Current state and prospects of protoplast technology and potato somatic hybridization (review)

Wild Solanum species have often been used as sources of important agricultural traits, including resistance to various diseases, pests, and abiotic factors. However, their large-scale use in potato breeding is limited by complex barriers of sexual incompatibility with Solanum tuberosum. Fusion of protoplasts enzymatically isolated from somatic cells is one of the approaches to overcoming sexual incompatibility. The diverse nuclear and cytoplasmic traits exhibited by potato somatic hybrids provide new genetic material for breeding programs, which is confirmed by the creation of a large number of somatic hybrids of cultivated potatoes with wild Solanum species. The research in development of somatic potato hybrids by means of protoplast fusion has been carried out for more than 40 years already. In this review, the prospects for the use of this technology in modern potato breeding are considered. Genomic, transcriptomic, and proteomic studies provide further insight into the fundamental processes underlying the somatic hybrids formation, such as cell wall formation, chromosomal rearrangements in fusion products, regeneration, and also make a significant contribution to understanding the processes of genome stabilization. Improvement in the methods of molecular screening of both genome and cytoplasm also contributes to the expansion of the field of application of somatic hybrids in breeding. Finally, it has been shown that somatic hybridization promotes the introgression of important agricultural traits, primarily resistance to pathogens.

Exploring the potential of CRISPR/Cas genome editing for vegetable crop improvement: An overview of challenges and approaches.

Vegetables provide many nutrients in the form of fiber, vitamins, and minerals, which make them an important part of our diet. Numerous biotic and abiotic stresses can affect crop growth, quality, and yield. Traditional and modern breeding strategies to improve plant traits are slow and resource intensive. Therefore, it is necessary to find new approaches for crop improvement. Clustered regularly interspaced short palindromic repeats/CRISPR associated 9 (CRISPR/Cas9) is a genome editing tool that can be used to modify targeted genes for desirable traits with greater efficiency and accuracy. By using CRISPR/Cas9 editing to precisely mutate key genes, it is possible to rapidly generate new germplasm resources for the promotion of important agronomic traits. This is made possible by the availability of whole genome sequencing data and information on the function of genes responsible for important traits. In addition, CRISPR/Cas9 systems have revolutionized agriculture, making genome editing more versatile. Currently, genome editing of vegetable crops is limited to a few vegetable varieties (tomato, sweet potato, potato, carrot, squash, eggplant, etc.) due to lack of regeneration protocols and sufficient genome sequencing data. In this article, we summarize recent studies on the application of CRISPR/Cas9 in improving vegetable trait development and the potential for future improvement.

Identification of a Rice Leaf Width Gene Narrow Leaf 22 (NAL22) through Genome-Wide Association Study and Gene Editing Technology.

Rice leaf width (RLW) is a crucial determinant of photosynthetic area. Despite the discovery of several genes controlling RLW, the underlying genetic architecture remains unclear. In order to better understand RLW, this study conducted a genome-wide association study (GWAS) on 351 accessions from the rice diversity population II (RDP-II). The results revealed 12 loci associated with leaf width (LALW). In LALW4, we identified one gene, Narrow Leaf 22 (NAL22), whose polymorphisms and expression levels were associated with RLW variation. Knocking out this gene in Zhonghua11, using CRISPR/Cas9 gene editing technology, resulted in a short and narrow leaf phenotype. However, seed width remained unchanged. Additionally, we discovered that the vein width and expression levels of genes associated with cell division were suppressed in nal22 mutants. Gibberellin (GA) was also found to negatively regulate NAL22 expression and impact RLW. In summary, we dissected the genetic architecture of RLW and identified a gene, NAL22, which provides new loci for further RLW studies and a target gene for leaf shape design in modern rice breeding.

Mechanistic Understanding of Leakage and Consequences and Recent Technological Advances in Improving Nitrogen Use Efficiency in Cereals

Although nitrogen (N) is the most limiting nutrient for agricultural production, its overuse is associated with environmental pollution, increased concentration of greenhouse gases, and several human and animal health implications. These implications are greatly affected by biochemical transformations and losses of N such as volatilization, leaching, runoff, and denitrification. Half of the globally produced N fertilizers are used to grow three major cereals—rice, wheat, and maize—and their current level of N recovery is approximately 30–50%. The continuously increasing application of N fertilizers, despite lower recovery of cereals, can further intensify the environmental and health implications of leftover N. To address these implications, the improvement in N use efficiency (NUE) by adopting efficient agronomic practices and modern breeding and biotechnological tools for developing N efficient cultivars requires immediate attention. Conventional and marker-assisted selection methods can be used to map quantitative trait loci, and their introgression in elite germplasm leads to the creation of cultivars with better NUE. Moreover, gene-editing technology gives the opportunity to develop high-yielding cultivars with improved N utilization capacity. The most reliable and cheap methods include agronomic practices such as site-specific N management, enhanced use efficiency fertilizers, resource conservation practices, precision farming, and nano-fertilizers that can help farmers to reduce the environmental losses of N from the soil–plant system, thus improving NUE. Our review illuminates insights into recent advances in local and scientific soil and crop management technologies, along with conventional and modern breeding technologies on how to increase NUE that can help reduce linked N pollution and health implications.

Perspectives for the use of genomic selection for genetic improvement of dairy cattle in Ukraine

An important problem in modern dairy cattle breeding is the achievement of a high level of genetic progress in economically important traits through the implementation of effective breeding programs. For this purpose, genomic selection is currently used in many countries of the world. The aim of the study was to investigate possibilities of use of genomic selection in dairy cattle breeding in Ukraine. On the basis of analysis of “Catalogue of sires of dairy and dual-purpose breeds for reproduction of cows in 2020” (sperm of these sires was used in Ukraine) two methods of breeding value estimation were compared: 1) traditional method based on pedigree and performance of progeny; 2) genomic method based on effects of SNPs. Considerable advantage of sires with genomic evaluations was proved. These sires excel sires with traditional evaluation for milk yield by 1.6 times, for fat percentage by 2.2 times, for fat yield by 1.7 times, for protein percentage by 2.1 times and for protein yield by 1.7 times. Using estimates of breeding values of sires pare-wise genetic correlations between main genetic traits were computed. The negative genetic relationship between milk yield and fat and protein percentages was revealed. Values of energy corrected milk (ECM) of daughters and dams of sires across breeds and countries of origin were calculated. It was shown that dams of sires of Holstein and Jersey breeds had highest values of energy corrected milk (9,132.0 kg and 8,041 kg, respectively) while dams of sires of Ukrainian Black-and-White dairy breed had lowest values of this trait (5,848.1 kg). According to country-of-origin daughters of sire’s form USA, Canada and the Netherlands had highest values of energy corrected milk. Values of response to selection using traditional breeding program and genomic selection were compared. It was proved that by means of shortening generation intervals on pathways of genetic improvement “sires of bulls”, “sires of cows” and “dams of bulls” using genomic selection it is possible to increase rate of genetic progress for milk yield from 100.1 kg to 180.0 kg that is by 80%

Breeding techniques to dispense higher genetic gains.

Plant breeding techniques encompass all the processes aimed at improving the genetic characteristics of a crop. It helps in achieving desirable characteristics like resistance to diseases and pests, tolerance to environmental stresses, higher yield and improved quality of the crop. This review article aims to describe and evaluate the current plant breeding techniques and novel methods. This qualitative review employs a comparative approach in exploring the different plant breeding techniques. Conventional plant breeding techniques were compared with modern ones to understand the advancements in plant biotechnology. Backcross breeding, mass selection, and pure-line selection were all discussed in conventional plant breeding for self-pollination and recurrent selection and hybridisation were employed for cross-pollinated crops. Modern techniques comprise of CRISPR Cas-9, high-throughput phenotyping, marker-assisted selection and genomic selection. Further, novel techniques were reviewed to gain more insight. An in-depth analysis of conventional and modern plant breeding has helped gain insight on the advantages and disadvantages of the two. Modern breeding techniques have an upper hand as they are more reliable and less time consuming. It is also more accurate as it is a genotype-based method. However, conventional breeding techniques are cost effective and require less expertise. Modern plant breeding has an upper hand as it uses genomics techniques. Techniques like QTL mapping, marker assisted breeding aid in selection of superior plants right at the seedling stage, which is impossible with conventional breeding. Unlike the conventional method, modern methods are capable of selecting recessive alleles by using different markers. Modern plant breeding is a science and therefore more reliable and accurate.

Applications and Prospects of CRISPR/Cas9-Mediated Base Editing in Plant Breeding

The clustered regularly interspaced short palindromic repeats (CRISPR)/associated protein 9 system (Cas9) has been used at length to optimize multiple aspects of germplasm resources. However, large-scale genomic research has indicated that novel variations in crop plants are attributed to single-nucleotide polymorphisms (SNPs). Therefore, substituting single bases into a plant genome may produce desirable traits. Gene editing by CRISPR/Cas9 techniques frequently results in insertions-deletions (indels). Base editing allows precise single-nucleotide changes in the genome in the absence of double-strand breaks (DSBs) and donor repair templates (DRTs). Therefore, BEs have provided a new way of thinking about genome editing, and base editing techniques are currently being utilized to edit the genomes of many different organisms. As traditional breeding techniques and modern molecular breeding technologies complement each other, various genome editing technologies have emerged. How to realize the greater potential of BE applications is the question we need to consider. Here, we explain various base editings such as CBEs, ABEs, and CGBEs. In addition, the latest applications of base editing technologies in agriculture are summarized, including crop yield, quality, disease, and herbicide resistance. Finally, the challenges and future prospects of base editing technologies are presented. The aim is to provide a comprehensive overview of the application of BE in crop breeding to further improve BE and make the most of its value.

Historical aspects of pig breeding in Siberia (review)

Historical descriptions of extinct Siberian pig breeds or those on the verge of extinction are presented for a better understanding of the breeding process in the domestic pig breeding and hybridization system, which determines the improvement of productive and breed characters. An overview of pig breeds in Siberia is given in terms of the history of their breeding, the breeding and genetic methods used and the achievements obtained. The absence of living representatives of extinct breeds does not allow to study more deeply their physiological, morphological features, the potential of productivity at a high level of feeding both in conditions of modern industrial complexes and using modern genetic breeding methods. Literature sources used for the review describe in sufficient detail breeds and types, and give data on productivity under the conditions of the then-existing system of housing and feeding. Aspects of the formation, development and the current state of pig breeding, as well as the existing problems in the industry are highlighted. The following breeds are described: Siberian Northern, Kemerovo, Early Maturing Meat (EM-1), Novosibirsk Large White Breed, Achinsk Large White Breed, Kemerovo Factory Meat Pigs (KM-1), Chelyabinsk Breed, Altai Meat Breed. Methodological approaches and breeding achievements in the breeding of new breeds and breed types in Siberia are shown. The important practical significance of breeding and genetic methods in the system of industrial production in modern conditions is noted. The issue of the possibility of using the genetic potential of domestic pig breeds under conditions of import substitution on the basis of advanced technological and methodological approaches of scientists and practitioners in the conditions of Siberia was considered.

Global whole-genome comparison and analysis to classify subpopulations and identify resistance genes in weedy rice relevant for improving crops.

Common weedy rice plants are important genetic resources for modern breeding programs because they are the closest relatives to rice cultivars and their genomes contain elite genes. Determining the utility and copy numbers of WRKY and nucleotide-binding site (NBS) resistance-related genes may help to clarify their variation patterns and lead to crop improvements. In this study, the weedy rice line LM8 was examined at the whole-genome level. To identify the Oryza sativa japonica subpopulation that LM8 belongs to, the single nucleotide polymorphisms (SNPs) of 180 cultivated and 23 weedy rice varieties were used to construct a phylogenetic tree and a principal component analysis and STRUCTURE analysis were performed. The results indicated that LM8 with admixture components from japonica (GJ) and indica (XI) belonged to GJ-admixture (GJ-adm), with more than 60% of its genetic background derived from XI-2 (22.98%), GJ-tropical (22.86%), and GJ-subtropical (17.76%). Less than 9% of its genetic background was introgressed from weedy rice. Our results also suggested LM8 may have originated in a subtropical or tropical geographic region. Moreover, the comparisons with Nipponbare (NIP) and Shuhui498 (R498) revealed many specific structure variations (SVs) in the LM8 genome and fewer SVs between LM8 and NIP than between LM8 and R498. Next, 96 WRKY and 464 NBS genes were identified and mapped on LM8 chromosomes to eliminate redundancies. Three WRKY genes (ORUFILM02g002693, ORUFILM05g002725, and ORUFILM05g001757) in group III and one RNL [including the resistance to powdery mildew 8 (RPW8) domain, NBS, and leucine rich repeats (LRRs)] type NBS gene (ORUFILM12g000772) were detected in LM8. Among the NBS genes, the RPW8 domain was detected only in ORUFILM12g000772. This gene may improve plant resistance to pathogens as previously reported. Its classification and potential utility imply LM8 should be considered as a germplasm resource relevant for rice breeding programs.

Wheat end-use quality: State of art, genetics, genomics-assisted improvement, future challenges, and opportunities.

Wheat is the most important source of food, feed, and nutrition for humans and livestock around the world. The expanding population has increasing demands for various wheat products with different quality attributes requiring the development of wheat cultivars that fulfills specific demands of end-users including millers and bakers in the international market. Therefore, wheat breeding programs continually strive to meet these quality standards by screening their improved breeding lines every year. However, the direct measurement of various end-use quality traits such as milling and baking qualities requires a large quantity of grain, traits-specific expensive instruments, time, and an expert workforce which limits the screening process. With the advancement of sequencing technologies, the study of the entire plant genome is possible, and genetic mapping techniques such as quantitative trait locus mapping and genome-wide association studies have enabled researchers to identify loci/genes associated with various end-use quality traits in wheat. Modern breeding techniques such as marker-assisted selection and genomic selection allow the utilization of these genomic resources for the prediction of quality attributes with high accuracy and efficiency which speeds up crop improvement and cultivar development endeavors. In addition, the candidate gene approach through functional as well as comparative genomics has facilitated the translation of the genomic information from several crop species including wild relatives to wheat. This review discusses the various end-use quality traits of wheat, their genetic control mechanisms, the use of genetics and genomics approaches for their improvement, and future challenges and opportunities for wheat breeding.

The role of breeding centers and breed testing systems in the development of breeds with a wide potential for use

It shall be noted that the country's food security is impossible without modern breeding and seed production, which fully applies to both open and protected ground. Grain crops, wheat, barley, corn, rice and others, in terms of fodder productive qualities, are always among the most valuable agricultural crops and are the staple food in many countries of the world. The production of advanced agricultural products is carried out through the use of effective methods of genetics, breeding, seed production, diagnostics of pathogens, integrated plant protection products, the latest technologies and others. The tasks of breeding and seed production of agricultural crops are the reproduction of seeds of breeds and the maintenance of their genetic potential in order to preserve the properties and economically valuable traits. High-quality seeds of the best zoned breeds and hybrids are the foundation of the future harvest. Breeds with a wide adaptive potential allow them to be grown in different climatic conditions and to select for the best forms.

Genetic diversity analysis and core collection construction for Amaranthus tricolor germplasm based on genome-wide single-nucleotide polymorphisms

• Genetic diversity among Amaranthus tricolor accessions was evaluated using genome-wide SNPs. • A set of 5638 SNPs without missing data in accessions was identified. • The population structure was analyzed among accessions. • A core collection of 105 accessions was created. The genus Amaranthus includes 60 to 70 species, some used as grain or leafy vegetable crops, others as ornamental crops. A. tricolor is used as a traditional leafy vegetable in Asia. It has a remarkably valuable nutrient composition and a high tolerance to environmental stresses but has been neglected in modern breeding. Detecting DNA polymorphisms among accessions helps in understanding the genetic diversity and population structure of germplasm collections. The genetic diversity and population structure were analysed among 465 A. tricolor accessions held by the World Vegetable Center genebank with genome-wide single-nucleotide polymorphisms (SNPs) developed by the double-digest restriction-site-associated DNA sequencing method. We found a total of 10 509 SNPs among the accessions and identified a set of 5638 SNPs without missing data in 440 accessions. This marker set was used to verify the species attribution of the germplasm, to analyse genetic diversity and population structure of the collection, and to create a core collection of 105 accessions representing the genetic diversity of 377 source accessions. This core collection is available for research and breeding (World Vegetable Center: info@worldveg.org). The SNP data generated here will contribute to exploring genetic loci related to economically and agronomically important traits in this species.

A Method for Eliminating Pig Face Recognition Errors Caused by Too Short Pig Growth Cycle

In the process of modern large-scale pig breeding, it is necessary to distinguish the identity of each pig and real-time detect its health status, weight change, dietary status, and other parameters. Traditional methods waste a lot of resources, while the high quality of pork cannot be effectively guaranteed. This project is based on convolutional neural networks to design and develop a pig face recognition system. This system uses an overhead camera suspended above the pig house to monitor the pig house for 24 hours and identify and track each pig. Due to the rapid growth cycle of the pig, the facial image information changes rapidly, which has a significant impact on the pig face recognition model. The acquisition camera module is designed to correct monitoring and tracking data. The acquisition camera is installed in the necessary place of the pig every day to collect real-time information and upload the collected information to the server. By comparing the data of individual pigs at different developmental stages with the server, the identification information of individual pigs is determined, and tracking data is corrected in a timely manner. At the same time, the monitoring and identification screen is displayed on the screen, and behavioral information parameters are recorded to facilitate the information management and breeding of the farm.