Gwas yield network
WebAug 1, 2024 · A second program (NetStruct) that implements network-based clustering was used to group the UMN_C3 genets also suggested K = 2. Because of these results, the Q matrix obtained from STRUCTURE with K = 2 was used as a covariate in GWAS despite the low level of population structure. ... GWAS of seven yield component traits in the … WebFeb 5, 2024 · The genes with a joint P < 0.05 for milk yield were defined as the nominally significant GWAS gene set (NSGG) for further analysis. Co-expression Network Analysis for the DEGs and NSGG For the gene expression matrix from the DEGs and NSGG, we employed the WGCNA R-package ( Langfelder and Horvath, 2008 ) to conduct the co …
Gwas yield network
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WebFeb 4, 2024 · The low number of yield QTL in our study corroborate with other GWAS for yield in wheat, where most of the identified loci have very small effects. Citation: Garcia M, Eckermann P, Haefele S, Satija S, …
WebMar 1, 2024 · Transcriptome and GWAS analyses reveal candidate gene for seminal root length of maize seedlings under drought stress ... Water deficits are a major constraint … WebOct 5, 2024 · However, yield is a complex quantitative trait composed of many factors. The purpose of this study was to determine how many genetic loci are associated with yield …
WebJun 13, 2024 · Gene co-expression network analysis identified gene modules related to yield traits. 4). Next, a co-expression network was constructed using the WGCNA package for R [] with the 67,016 expressed genes, followed by decomposition of the network into 57 subnetwork modules (Figs. 2 and S4).Each module contains a set of genes showing … WebFeb 7, 2024 · Applying the GWAS and network analyses presented here enabled us to uncover the key SNPs and yield traits in wheat. The identified SNPs associated with the traits (e.g., FSF and StS) could be ... We would like to show you a description here but the site won’t allow us.
WebFeb 7, 2024 · Yield boosting requires a deep understanding of the genetic basis of grain yield-related traits (e.g., spikelet fertility and sterility). ... The integrative analysis strategy …
WebFeb 1, 2024 · TABLE 1 Significant genes identified for milk yield by gene-based GWAS method. GENE CHR Start (bp) Stop (bp) NSNPS P -value Symbol 112580920 20 8966541 8986082 1 4.26E − 06 TCL1B endometriosis and black cohoshWebJul 1, 1994 · County level yield variability should be adjusted upward by approximately .1% for each percent difference in county acreage and average farm acreage within the … dr chooljian fresnoWebThe expression QTL (eQTL) analysis is the association between the genetic variant and gene expression, which is also an important tool to elucidate complex phenotypes. Combining GWAS and TWAS with the eQTL analysis, the genetic regulatory network for cell wall biosynthesis in cotton has been uncovered (Li et al., 2024). endometriosis and blood in urineWebApr 5, 2024 · GWAS of population growth traits. To identify candidate genes regulating the growth and development of P. cathayana under N treatment, we conducted GWAS analysis on genotypes significantly promoted by Ratio-PH and Ratio-GD (Fig. 1a, c and Fig. S2a, c). Among them, Ratio-PH was associated with 9 significant single nucleotide polymorphism … endometriosis after full hysterectomyWebNational Center for Biotechnology Information endometriosis and fallopian tubesWebFeb 11, 2024 · Spike fertility and associated traits are key factors in deciding the grain yield potential of wheat. Genome-wide association study (GWAS) interwoven with advanced … endometriosis and foodWebApr 10, 2024 · The projected rise in global ambient temperature by 3–5 °C by the end of this century, along with unpredicted heat waves during critical crop growth stages, can drastically reduce grain yield and will pose a great food security challenge. It is therefore important to identify wheat genetic resources able to withstand high … dr cho oncology