Results 71 to 80 of about 35,110 (266)
Population size and phenotypic measurement are two key factors determining the detection power of quantitative trait loci (QTL) mapping. We evaluated how these two controllable factors quantitatively affect the detection of QTL and their localization ...
Xinmin Li +6 more
doaj +1 more source
Classical approaches for coloration analysis are limited by human low‐resolution phenotyping and genetic analysis. Artificial intelligence allows us to find genes beyond the tip of the iceberg that explain color and pattern diversity in nature. ABSTRACT Pigmentation has long served as a powerful system for exploring gene–trait relationships, yet much ...
Ehsan Pashay Ahi, Nidal Karagic
wiley +1 more source
Approaches like multiple interval mapping using a multiple-QTL model for simultaneously mapping QTL can aid the identification of multiple QTL, improve the precision of estimating QTL positions and effects, and are able to identify patterns and ...
Freyer Gertraude +2 more
doaj +1 more source
Wheat wild relatives are untapped genetic resources from salinity and drought hit areas. This study presents differential comparative morphophysiological responses of these species and modern wheat cultivars under saline conditions. Salt resistant species produce more shoot and root biomass under saline conditions through salt exclusion and/or tissue ...
Muhammad Saqib, Riya Raj, Michael Frei
wiley +1 more source
PEMETAAN QUANTITATIVE TRAIT LOCI UNTUK SIFAT BERSKALA KATEGORIK
Genes or regions on chromosome underlying a quantitative trait are called quantitative trait loci (QTL). Characterizing genes controlling quantitative trait on their position in chromosome and their effect on trait is through a process called QTL mapping.
Farit Mochamad Afendi
doaj
IntroductionFor nearly two centuries, cranberry (Vaccinium macrocarpon Ait.) breeders have improved fruit quality and yield by selecting traits on fruiting stems, termed “reproductive uprights.” Crop improvement is accelerating rapidly in contemporary ...
Andrew F. Maule +14 more
doaj +1 more source
Background With the plummeting cost of the next-generation sequencing technologies, high-density genetic linkage maps could be constructed in a forest hybrid F1 population. However, based on such genetic maps, quantitative trait loci (QTL) mapping cannot
Fenxiang Liu +7 more
doaj +1 more source
Haplotypic QTL mapping in an outbred pedigree
An offspring genome can be viewed as a mosaic of chromosomal segments or haplotypes contributed by multiple founders in any quantitative trait locus (QTL) detection study but tracing these is especially complex to achieve for outbred pedigrees. QTL haplotypes can be traced from offspring back to individual founders in outbred pedigrees by combining ...
David P, Gwaze +4 more
openaire +2 more sources
Omics GWAS: A Multi‐Omics Integrative Analysis Platform for Genome‐Wide Association Studies
ABSTRACT With the rapid advancement of genome‐wide association studies (GWAS), downstream analyses of GWAS data have become essential for elucidating the genetic mechanisms that underlie complex diseases. However, current post‐GWAS analyses face numerous challenges, including heterogeneous data formats, challenges in multi‐omics integration, and ...
Xu Zhang +8 more
wiley +1 more source
Mapping QTLs for traits measured as percentages
Many quantitative traits are measured as percentages. As a result, the assumption of a normal distribution for the residual errors of such percentage data is often violated. However, most quantitative trait locus (QTL) mapping procedures assume normality of the residuals.
Yongcai, Mao, Shizhong, Xu
openaire +2 more sources

