Beta
389684

ESTIMATING GENETIC DISTANCE AMONG MAIZE INBREDS FOR PREDICTING HYBRID MEAN PERFORMANCE AND SPECIFIC COMBINING ABILITY

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

Genetics and breeding

Abstract

Estimating genetic distance (GD) among lines of maize and the relationship between GD estimates and hybrid performance might be utilized to categorize inbred lines, create heterotic groups, and predict future hybrid performance. A lab experiment used ten inter-simple sequence repeats (ISSR) primers to identify polymorphism in ten inbred lines. In a one-year field trial with a randomized complete blocks design with triplicates, the F1 diallel crosses were assessed under well-watered and severe stress conditions. Across the ten maize-inbreds, these ten ISSR primers generated 132 amplified fragments, 67 (52.4%) of which, were polymorphic, with an average of 6.7 polymorphic fragments per primer. The range of amplified fragments was eight (ISSR-14) to 19 (ISSR-11). Based on ISSR markers, the genetic similarity coefficients varied from 0.72 (between P5 and P6) to 0.88 (between P7 and P10), with an average of 0.78, among the ten inbreds of maize. Specific bands related to inbred lines of corn were discovered. The findings demonstrated a non-significant and negative correlation between the genetic distance among inbred lines based on ISSR markers and any of the mean performance or specific combining ability of grain yield/fad under severely stressed or well-watered conditions. The findings might assist breeders of maize in a more skillful choose of parental inbred lines to produce hybrids with high mean grain yields.

DOI

10.21608/mjppf.2024.322715.1057

Keywords

Zea mays, ISSR, well-watered, and severely stressed

Authors

First Name

Shaban

Last Name

Elshamarka

MiddleName

Ahmed

Affiliation

Crop Science Dept., Faculty of Agriculture, Menoufia Univ., Egypt

Email

shaban.elshamarka@agr.menofia.edu.eg

City

menofia

Orcid

-

First Name

Ibrahim

Last Name

Darwish

MiddleName

Hosiny

Affiliation

Crop Science Dept., Faculty of Agriculture, Menoufia Univ., Egypt

Email

ebrahim.hoseny@agr.menofia.edu.eg

City

-

Orcid

-

First Name

Mohamed

Last Name

elghonemy

MiddleName

-

Affiliation

Maize Research Section, Field Crops Research Institute, ARC, Egypt

Email

elghonemy538@gmail.com

City

-

Orcid

-

First Name

Marwa

Last Name

El-Nahas

MiddleName

Mohamed

Affiliation

Crop Science Department, Faculty of Agriculture, Menoufia University, Egypt.

Email

marwa.elnahas@agr.menofia.edu.eg

City

-

Orcid

-

First Name

Shafik

Last Name

Ibrahum

MiddleName

Darwish

Affiliation

Agricultural Genetic Engineering Research Institute (AGERI), ARC, Giza, Egypt

Email

shafikdarwish2014@gmail.com

City

-

Orcid

-

First Name

Ashraf

Last Name

Elharany

MiddleName

Adel

Affiliation

Crop science Faculty of agriculture Menoufia university

Email

ashraf.adel@agr.menofia.edu.eg

City

-

Orcid

-

Volume

9

Article Issue

10

Related Issue

51306

Issue Date

2024-10-01

Receive Date

2024-09-22

Publish Date

2024-10-30

Page Start

351

Page End

361

Print ISSN

2357-0830

Online ISSN

2735-346X

Link

https://mjppf.journals.ekb.eg/article_389684.html

Detail API

https://mjppf.journals.ekb.eg/service?article_code=389684

Order

9

Type

original papers

Type Code

1,393

Publication Type

Journal

Publication Title

Menoufia Journal of Plant Production

Publication Link

https://mjppf.journals.ekb.eg/

MainTitle

ESTIMATING GENETIC DISTANCE AMONG MAIZE INBREDS FOR PREDICTING HYBRID MEAN PERFORMANCE AND SPECIFIC COMBINING ABILITY

Details

Type

Article

Created At

26 Dec 2024