Manuscript Abstract

RELATIONSHIP OF EXPRESSION LEVEL OF TWO YIELD RELATED GENES WITH MORPHO-AGRONOMIC VARIABILITY IN COMPOSITE CORN LINES UNDER DRY CLIMATE
F. Abna, F. A. Avin, F. Baysal-Gurel, N. W. Haron

F. Abna1*, F. A. Avin2, F. Baysal-Gurel2, and N. W. Haron1*

1Institute of Biological Science, Faculty of Science, University of Malaya, Kuala Lumpur, Federal Territory of Kuala Lumpur 50603, Malaysia

2Otis L. Floyd Nursery Research Center, 472 Cadillac Lane, McMinnville, Tennessee 37110, USA

Page Number(s): 138-149
Published Online First: June 14, 2021
Publication Date: January 07, 2022
ABSTRACT

The grain harvest in corn is measurable and controlled polygenically. Therefore, effective yield enhancement and concurrent modification of yield-related genes are imperative. Six newly composite corn lines were characterized and their morpho-agronomic variability was evaluated. The expression level of two yield-related genes (Sh2 and Bt2b) and their relationship with morpho-agronomic characters were considered using quantitative real-time PCR (qRTPCR). The outcomes of the principal component analysis showed that 2 components with Eigen values larger than one explained 86.62 percent of the total variability. The highest phenotypic and genotypic coefficients of variance (PCV and GCV, respectively) were recorded for grain yield per plant. The greatest phenotypic and genotypic correlation of grain yield per plant was noted with 1000- kernel weight (0.84 and 0.98, respectively). Kernel number showed the highest genetic advance (1990.12%) and heritability (75.27%). Kernel number and its 1000 weights were positively correlated with grain yield per plant. The Sh2 and Bt2b genes presented upregulated expressions in leaf and endosperm tissues which was significantly and positively related to the grain yield and its primary components. It was observed that by altering the expression level of Sh2 and Bt2b genes via hybridization in the composite corn lines, yield enhancement and improvement in genetic parameters of yield components occurred.

Keywords: cross transformation, morpho-agronomic variability, yield-related genes
Open Access: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).


Download Statistics
This Manuscript
Full Text
2
downloads
Indicators
Metrics

Cite Score: 1.3

JCR Year: 2025

Indexing
Status

Web of Science (SCIE)

SCOPUS (Q3)

Journal Metrics
Current

Journal Impact Factor: 0.5

HEC Category: W

ISSN Details
Verified

Print ISSN: 1018-7081

Electronic ISSN: 2309-8694

Search the Journal

Use the fields below to search for articles by Title, Author, or Keywords.

All Downloads
Full Text
21,512
downloads
Supplementary
40
downloads