[Multi-objective Identification Method for Influencing Factors of Soil Heavy Metal Content Change].

Identifying the influencing factors of soil heavy metal content changes is the basis for reducing or preventing soil heavy metal pollution. Taking an agricultural experimental field in Changping District of Beijing as an example, the heavy metal content changes in As, Cr, Cu, Ni, Pb, and Zn from 2012 to 2022 were firstly analyzed. Secondly, the influencing factors of the heavy metal content changes were detected based on the geographical detector at the single-target and multi-target levels, respectively.

[Spatio-temporal Variation in Net Primary Productivity of Different Vegetation Types and Its Influencing Factors Exploration in Southwest China].

Studying the spatiotemporal variation in vegetation net primary productivity (NPP) and exploring its influencing factors are of considerable practical significance for understanding the spatiotemporal variation in vegetation and for guiding ecological restoration and management projects based on local conditions. Based on MODIS NPP data, combined with in situ meteorological data, land use data, and vegetation type data, this study explores the spatiotemporal variation in different types of vegetation NPP in southwest China via the Mann-Kendall significance test and Theil-Sen Median slope estimator. It reveals the influencing factors of spatial differentiation of different types of vegetation NPP and the interaction between influencing factors in combination with stability analysis and Geo Detectors.

[Spatio-temporal Variation in PM Concentration and Its Relationship with Vegetation Landscape Patterns in Typical Economic Zones in China from 2000 to 2020].

This study explored the temporal and spatial variation in PM concentration and its relationship with the vegetation landscape pattern in three typical economic zones in China, which is of great significance for regional PMpollution control and atmospheric environmental protection. In this study, the pixel binary model, Getis-Ord analysis, Theil-Sen Median analysis, Mann-Kendall significance test, Pearson correlation analysis, and multiple correlation analysis were used to explore the spatial cluster and spatio-temporal variation in PM and its correlation with the vegetation landscape index in the three economic zones of China on the basis of PM concentration data and MODIS NDVI data set. The results showed that PM in the Bohai Economic Rim was mainly dominated by the expansion of hot spots and the reduction in cold spots from 2000 to 2020.

[Spatio-temporal Variation in Vegetation Cover and Its Driving Mechanism Exploration in Southwest China from 2000 to 2020].

Using the MOD13A3 NDVI time series from 2000 to 2020, climate date from 1999 to 2020, and land use type data in 2000 and 2020, the spatio-temporal variation in vegetation cover and the driving mechanisms of climate change and human activities to vegetation variation were analyzed based on Theil-Sen Median analysis, the Mann-Kendall significance test, the multi-collinearity test, residual analysis, and relative analysis. The results showed that the vegetation cover exhibited a fluctuating and increasing trend with a magnitude of 0.0016 a in southwest China from 2000 to 2020.

[Temporal and Spatial Variation Characteristics of Heavy Metal in Atmospheric Deposition in China from 2000 to 2018].

Owing to the significant impact of heavy metals in atmospheric deposition on soil, clear knowledge on the present situation and temporal and spatial variation in fluxes of heavy metals in atmospheric deposition all around China is urgently needed. In this study, we collected 99 published papers on deposition fluxes of heavy metals from 2001 to 2021 based on the CNKI and Web of Science database and extracted 718 to 1672 monitoring points from these papers. The Meta-analysis method was used to calculate the weighted average of deposition fluxes of heavy metals, and the spatial-temporal characteristics in different periods from 2000 to 2018 were studied by subgroup analysis, which compared the differences between different types of areas, such as agricultural and rural areas and urban and industrial areas.

Conservation Priorities Analysis of Chinese Indigenous Pig Breeds in the Taihu Lake Region.

Most indigenous pig resources are known to originate from China. Thus, establishing conservation priorities for these local breeds is very essential, especially in the case of limited conservation funds. Therefore, in this study, we analyzed 445 individuals belonging to six indigenous breeds from the Taihu Lake Region, using a total of 131,300 SNPs.

Selection signature reveals genes associated with susceptibility loci affecting respiratory disease due to pleiotropic and hitchhiking effect in Chinese indigenous pigs.

Background: Porcine respiratory disease is one of the most important health problems which causes significant economic losses.

Objective: To understand the genetic basis for susceptibility to swine enzootic pneumonia (EP) in pigs, we detected 102,809 SNPs in a total of 249 individuals based on genome-wide sequencing data.

Methods: Genome comparison of three susceptibility to swine EP pig breeds (Jinhua, Erhualian and Meishan) with two western lines that are considered more resistant (Duroc and Landrace) using XP-EHH and FST statistical approaches identified 691 positively selected genes.

Exploring the Structure of Haplotype Blocks and Genetic Diversity in Chinese Indigenous Pig Populations for Conservation Purpose.

Chinese indigenous pigs in the Taihu Lake region are well known for their high fecundity and other excellent characteristics. To better understand the characteristics of these breeds in this area as well as to provide the government and breeders the molecular basis for formulating a reasonable conservation policy, we explored the structure of haplotype blocks and genetic diversity of the 7 populations which is relevant for the management and conservation of these important genetic resources using next-generation sequencing data. In this study, a total of 131 300 single-nucleotide polymorphisms with minor allele frequencies ⩾0.

The genetic connectedness calculated from genomic information and its effect on the accuracy of genomic prediction.

The magnitude of connectedness among management units (e.g., flocks and herds) gives a reliable estimate of genetic evaluation across these units.

Identifying Genetic Differences Between Dongxiang Blue-Shelled and White Leghorn Chickens Using Sequencing Data.

The Dongxiang Blue-shelled chicken is one of the most valuable Chinese indigenous poultry breeds. However, compared to the Italian native White Leghorn, although this Chinese breed possesses numerous favorable characteristics, it also exhibits lower growth performance and fertility. Here, we utilized genotyping sequencing data obtained via genome reduction on a sequencing platform to detect 100,114 single nucleotide polymorphisms and perform further biological analysis and functional annotation.

[Two novel TSC2 frameshift mutations in tuberous sclerosis complex].

High-throughput sequencing was performed for the peripheral blood DNA from two probands in the family with tuberous sclerosis complex (TSC) to determine the sequences of TSC-related genes TSC1 and TSC2 and their splicing regions and identify mutation sites. Amplification primers were designed for the mutation sites and polymerase chain reaction and Sanger sequencing were used to verify the sequences of peripheral blood DNA from the probands and their parents. The two probands had c.

[Association between gene polymorphisms of propanoate metabolism pathway and meat quality as well as carcass traits in pigs].

In order to gain more extensive insight into detailed genetic control mechanisms of porcine meat quality and mine novel candidate genes, this study focused on the relationship between the genes of propanpate metabolism pathway and porcine meat quality as well as carcass traits based on the candidate gene set approach. Thirty-seven DLY pigs were tested in this study. A total of 36 SNPs within 7 candidate genes of propanoate metabolism pathway were genotyped and association analysis was conducted via Least Squares method, Multivariate multiple regression model, and a model-based multifactor dimensionality reduction method (MB-MDR).

[Progress of transcription factor CCAAT enhancer binding protein β].

CCAAT enhancer binding protein β (C/EBP β) belongs to CCAAT enhancer binding protein (C/EBP) family, which is a subfamily of basic leucine zipper (bZIP) protein family. C/EBP family plays important roles in many processes such as cell differentiation, metabolism, and development. In this paper, the structure, expression regulation, and function of C/EBP β were reviewed.

[Estimation of livestock manure nitrogen load and pollution risk evaluation of farmland in Daxing District].

Based on the livestock statistical data, the nutrient content of livestock manure was calculated and the nutrient transformation from livestock manure to farmland was realized by using the method of spatializing livestock manure nutrient. On this basis, this paper calculated nitrogen load of livestock manure combining with the area of farmland and realized the estimation of nitrogen load of livestock manure and potential pollution evaluation in landmass for unit taking Daxing District in Beijing as an example. The result showed that the average, minimum and maximum nitrogen loads of farmland were 214.

[Effects of H-FABP gene polymorphisms and nutritional factors on pork quality].

Pork quality is affected by both genetic and nutritional factors. However, few researches focused simultaneously on the effects of these two kinds of factors. In order to study the co-effects of these two kinds of factors simultaneously, we implemented this experiment, 136 PIC hybrid pigs with about 65 kg body weight were randomly divided into 4 groups; each group was fed with a different kind of rations.

[Multivariate geostatistical and GIS-based approach to study the spatial distribution of soil heavy metals in field scale].

One hundred and two surface soil samples were collected from four fields in a farm in Daxing district of Beijing, and analyzed for concentration of Cu, Zn, Pb, Cr and Cd. Soil pH, OM, the concentration of Fe and Mn was also analyzed. The results of statistical analysis indicated there was no significant difference among three wheat fields, but the difference between wheat field and vegetable field was evident.

[Distributions of polymorphism of ADD1, MC4R, H-FABP gene, associated with IMF and BF in 3 populations in pig].

Different breeds of pigs varied in traits of meat quality, especially between local abroad varieties. Intramuscular fat content (IMF) and back fat thickness (BF) have extra difference between Chinese breeds and foreign breeds. We have known that polymorphism of H-FABP, MC4R and ADD1 gene associated relation with IMF or BF in recent research.