Szanowni Państwo, w związku z bardzo dużą ilością zgłoszeń, rejestracją danych w dwóch systemach bibliograficznych, a jednocześnie zmniejszonym zespołem redakcyjnym proces rejestracji i redakcji opisów publikacji jest wydłużony. Bardzo przepraszamy za wszelkie niedogodności i dziękujemy za Państwa wyrozumiałość.
Repository logoRepository logoRepository logoRepository logo
Repository logoRepository logoRepository logoRepository logo
  • Communities & Collections
  • Research Outputs
  • Employees
  • AAAHigh contrastHigh contrast
    EN PL
    • Log In
      Have you forgotten your password?
AAAHigh contrastHigh contrast
EN PL
  • Log In
    Have you forgotten your password?
  1. Home
  2. Bibliografia UPP
  3. Bibliografia UPP
  4. Identification and Analysis of Candidate Genes Associated with Yield Structure Traits and Maize Yield Using Next-Generation Sequencing Technology
 
Full item page
Options

Identification and Analysis of Candidate Genes Associated with Yield Structure Traits and Maize Yield Using Next-Generation Sequencing Technology

Type
Journal article
Language
English
Date issued
2024
Author
Nowak, Bartosz
Tomkowiak, Agnieszka 
Sobiech, Aleksandra
Bocianowski, Jan 
Kowalczewski, Przemysław Łukasz 
Spychała, Julia
Jamruszka, Tomasz 
Faculty
Wydział Rolnictwa, Ogrodnictwa i Biotechnologii
Wydział Nauk o Żywności i Żywieniu
Journal
Genes
ISSN
2073-4425
DOI
10.3390/genes15010056
Web address
https://www.mdpi.com/2073-4425/15/1/56
Volume
15
Number
1
Pages from-to
art. 56
Abstract (EN)
The main challenge of agriculture in the 21st century is the continuous increase in food production. In addition to ensuring food security, the goal of modern agriculture is the continued development and production of plant-derived biomaterials. Conventional plant breeding methods do not allow breeders to achieve satisfactory results in obtaining new varieties in a short time. Currently, advanced molecular biology tools play a significant role worldwide, markedly contributing to biological progress. The aim of this study was to identify new markers linked to candidate genes determining grain yield. Next-generation sequencing, gene association, and physical mapping were used to identify markers. An additional goal was to also optimize diagnostic procedures to identify molecular markers on reference materials. As a result of the conducted research, 19 SNP markers significantly associated with yield structure traits in maize were identified. Five of these markers (28629, 28625, 28640, 28649, and 29294) are located within genes that can be considered candidate genes associated with yield traits. For two markers (28639 and 29294), different amplification products were obtained on the electrophorograms. For marker 28629, a specific product of 189 bp was observed for genotypes 1, 4, and 10. For marker 29294, a specific product of 189 bp was observed for genotypes 1 and 10. Both markers can be used for the preliminary selection of well-yielding genotypes.
Keywords (EN)
  • maize

  • next-generation sequencing (NGS)...

  • association mapping

  • yield structure traits

  • yield

  • SNP markers

  • SilicoDArT markers

License
cc-bycc-by CC-BY - Attribution
Open access date
December 29, 2023
Fundusze Europejskie
  • About repository
  • Contact
  • Privacy policy
  • Cookies

Copyright 2025 Uniwersytet Przyrodniczy w Poznaniu

DSpace Software provided by PCG Academia