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Quantitative traits


Tìm thấy 17+ kết quả cho từ khóa "Quantitative traits"

Heritability and gene effects for yield related quantitative traits in eggplant

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Table 2 Estimates of gene effects (±SE of mean) for various yield traits in four crosses using Mather and Jinks (1982) six-parameter model.. Mistry et al.. Fruit yield per plant (kg). and gene effects for quantitative traits 243. Degree of dominance ( p H/ p D).

Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: II: Carcass merit traits

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Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture. A primary screen of the bovine genome for quantitative trait loci affecting carcass and growth traits. A comprehensive search for quantitative trait loci affecting growth and carcass composition of cattle segregating alternative forms of the myostatin gene. Proceedings of the World Congress on Genetics Applied to Livestock Production, Electronic.

Genome-wide association analysis reveals genetic variations and candidate genes associated with salt tolerance related traits in Gossypium hirsutum

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In this study, the population panel consisted of 217 cultivars from differ- ent ecological regions (the Yellow River, the Yangtze River, the Northwestern inland region, the Northern China region, America and Australia) Phenotypic ana- lysis showed that the salt tolerance related traits in two. Recent years, association mapping as an important method for the identification of complex quantitative traits has been widely used in cotton for various traits including salt tolerance [35–40].

QTL mapping for soybean (Glycine max L.) leaf chlorophyll-content traits in a genotyped RIL population by using RADseq based high-density linkage map

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The bin markers were corresponding to different chlorophyll-content traits QTLs in this study. In all, var- iations of the soybean leaf chlorophyll-content traits support the reported characteristics of quantitative traits [29–31].. This study aimed to explore QTLs for soybean leaf chlorophyll-content traits.. Some chlorophyll- content traits QTLs were identified by the bin markers that spanned relatively large genetic intervals (Additional file 1: Table S6).

Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study

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Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases. org/10.1038/s . doi.org/10.1016/j.cell . https://doi.org/10.1097/MOH.. Prevalence of neutropenia in the U.S. https://doi.org/10.7326/.

Overlap between eQTL and QTL associated with production traits and fertility in dairy cattle

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In the regions we detected, it was difficult to identify a se- quence variant that showed a strong association with both gene expression and quantitative traits, and per- mutation analysis showed that most, but not all, of the significant correlations between local GEBV and gene expression could be due to chance, generated by the high local LD.

Identification of selection signatures involved in performance traits in a paternal broiler line

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Selection signatures in overlap with QTL in the TT line To identify selection signatures associated with quantitative traits, we investigated the overlap between the regions of cROH, F ST SNP and INDEL windows. About 72.8% of the 1941 cROH overlapped with QTL regions (n = 2617). There were also overlap of 60.1% of the 178 F ST SNP windows and 68.2% of the 154 F ST INDEL windows with QTL regions (n = 107 and 105, respectively)..

LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies

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We evaluated the risk pre- diction performance based on the Pearson’s correlation between the observed phenotypic values and the pre- dicted values in the testing datasets for quantitative traits;. For the quantitative traits, Fig.

Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information

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Conclusion: It was concluded that genomic selection with a pedigree corrected by SNP information was an efficient way of improving non-key traits in radiata pine breeding.. Genomic selection (GS) is an approach for improving quantitative traits in forest tree breeding populations that uses high density markers dispersed across the whole gen- ome [1–7]. There are two groups of individuals that are used in genomic selection:.

Genome-wide association studies of fertility and calving traits in Brown Swiss cattle using imputed whole-genome sequences

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This gene may play a role in fertilization and therefore we propose the variant in the IGLL1 gene as a candidate variant for fertility traits in dairy cattle. There is additional evidence that the genomic re- gions of these QTL might affect quantitative traits in the Brown Swiss population because two complex copy number variant (CNV) regions have been found to be located at 72 – 73 Mb and 73 – 75 Mb [34] using the consensus map of CNV detected from PennCNV and SVS algorithms.

Ancestry-specific associations identified in genome-wide combined-phenotype study of red blood cell traits emphasize benefits of diversity in genomics

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Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases. DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D- GENES) Consortium, Mahajan A, et al.

Genetic mapping for agronomic traits in a MAGIC population of common bean (Phaseolus vulgaris L.) under drought conditions

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Potential of a tomato MAGIC population to decipher the genetic control of quantitative traits and detect causal variants in the resequencing era. In: The Common Bean Genome. QTL analysis and effect of the fin locus on tropical adaptation in an inter-Gene Pool common bean population. Role of physiology in improving crop adaptation to abiotic stress in the tropics: the case of common bean and tropical forages.

Evaluation of genetic diversity, agronomic traits, and anthracnose resistance in the NPGS Sudan Sorghum Core collection

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Genomic characterization of the Sudan core collection could be used to study economically important traits and develop marker–trait association via GWAS. Deter- mination of the population structure is important for the identification of marker-trait association [46]. Popu- lation structure of the Sudan core set explained up to 25% of the observed phenotypic variation in quantitative traits including FL, PH, PL, and PD.

A fast-linear mixed model for genome-wide haplotype association analysis: Application to agronomic traits in maize

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Starting from the estimated genomic heritability of quantitative traits, we can search down- ward to rapidly determine maximum likelihood esti- mates for the polygenic heritability of the tested genetic unit.

A time-dependent genome-wide SNP-SNP interaction analysis of chicken body weight

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In the future, more research will be needed to better understand the genetic network of quantitative traits.. Our study demonstrated that the genetic interaction network of chicken body weight is time-dependent and the epistatic interaction effect is dynamic. To our knowledge, we are the first to describe and summarize the significant interaction effects that affect chicken body weight variation..

Dissection of the molecular bases of genotype x environment interactions: A study of phenotypic plasticity of Saccharomyces cerevisiae in grape juices

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For the majority of traits, environment accounted for most of the variation. Indeed, the sum of S + S*E ex- plained 17.1% of the variance for t35 g and linearly in- creased to 37.6% for t80 g.. 4 Environnemental impact on quantitative traits Distribution of the phenotypic values according to fermentation conditions.

Multi-trait meta-analyses reveal 25 quantitative trait loci for economically important traits in Brown Swiss cattle

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quantitative trait loci for economically important traits in Brown Swiss cattle. Across-cohort multi-trait meta-analyses of the results from the single-trait GWAS revealed 25 quantitative trait loci (QTL. Detected QTL explain between 2 and 10% of the variation in the estimated breeding values and thus may be considered as the most important QTL segregating in the Brown Swiss cattle breed.

Cluster analysis and correlation study for yield attributing traits in aromatic rice landraces (Oryza sativa L.)

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The present investigation was carried out in kharif, 2019 to understand the clustering pattern and correlation for yield attributing traits in aromatic landraces of rice. Here 90 aromatic rice landraces along with six check varieties were evaluated for 10 quantitative characters. Highest inter cluster distance was observed between Cluster II and III suggesting maximum variability between them.

DdRADseq-assisted construction of a highdensity SNP genetic map and QTL fine mapping for growth-related traits in the spotted scat (Scatophagus argus)

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mapping for growth-related traits in the spotted scat (Scatophagus argus). As one of the most important economic traits, growth traits are controlled by multiple gene loci called quantitative trait loci (QTLs). A total of 6193 SNPs were grouped into 24 linkage groups (LGs), and the total length reached 2191.65 cM with an average marker interval of 0.35 cM. Based on the high-quality linkage map, a total of 44 QTLs associated with growth-related traits were identified on 11 LGs.