Genomic Clues and Phenotypic Views: A High-Throughput Perspective on Trait Discovery

The use of molecular marker technologies has significantly advanced biological sciences and plant genetic analysis, particularly in revealing individual variations in DNA sequence. Molecular markers are useful tools in plants, particularly in marker-assisted selection, genome-wide association studies and QTL identification that impacts complicated hereditary traits. As the development of genomic tools in plant breeding and our knowledge of plant genomes increases, rapid and high-throughput phenotyping methods continue to be discussed as significant improvement applications in plant breeding programs. Since quantitative traits such as yield traits, quality traits, and resistance to abiotic/biotic stress factors in plants are an element that determines the indirect effects of both genetic and environmental factors and their interactions, phenotyping is a critical element in crop development. High-throughput phenotyping methods capture changes in environmental factors more sensitively compared to traditional applications, and thus selection efficiency is successfully increased. Correct and ethical use of genomic technologies with high-throughput phenotyping techniques is critical for long-term success and sustainability in the agricultural sector. In this review, the use of molecular marker technologies developed in integration with plant breeding in mapping studies and studies on the use of high-throughput phenotyping technologies in plant breeding are discussed.

Authors

Institutions

Publication Details

Journal
Tikrit Journal for Agricultural Sciences
Published
2025-09-30
DOI
https://doi.org/10.25130/tjas.25.3.14
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomic Clues and Phenotypic Views: A High-Throughput Perspective on Trait Discovery

Fatma Aykut Tonk, İSMAİL KARAKAŞ
Tikrit Journal for Agricultural Sciences
Gene expression and cancer classification
article

Genomic Clues and Phenotypic Views: A High-Throughput Perspective on Trait Discovery

Fatma Aykut Tonk, İSMAİL KARAKAŞ
article en

Abstract

The use of molecular marker technologies has significantly advanced biological sciences and plant genetic analysis, particularly in revealing individual variations in DNA sequence. Molecular markers are useful tools in plants, particularly in marker-assisted selection, genome-wide association studies and QTL identification that impacts complicated hereditary traits. As the development of genomic tools in plant breeding and our knowledge of plant genomes increases, rapid and high-throughput phenotyping methods continue to be discussed as significant improvement applications in plant breeding programs. Since quantitative traits such as yield traits, quality traits, and resistance to abiotic/biotic stress factors in plants are an element that determines the indirect effects of both genetic and environmental factors and their interactions, phenotyping is a critical element in crop development. High-throughput phenotyping methods capture changes in environmental factors more sensitively compared to traditional applications, and thus selection efficiency is successfully increased. Correct and ethical use of genomic technologies with high-throughput phenotyping techniques is critical for long-term success and sustainability in the agricultural sector. In this review, the use of molecular marker technologies developed in integration with plant breeding in mapping studies and studies on the use of high-throughput phenotyping technologies in plant breeding are discussed.

Tikrit Journal for Agricultural SciencesVol. 0(0)
Ege University (TR)
Openalex Percentile: Top 76%
Gene expression and cancer classification
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.