Related Experiment Video
Updated: Mar 1, 2026

05:01
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
3.8K
Genotypic correlation and path analysis in early and super-early maize genotypes.
B M Alves1, A Cargnelutti Filho2
1Departamento de Fitotecnia, , , Brasil.
Genetics and Molecular Research : GMR
|May 27, 2017
Summary
Agronomic traits like plant height and grain yield can indicate nutritional quality in maize. This study identified key indicators for indirect selection in early and super-early maturing maize genotypes.
Area of Science:
- Agricultural Science
- Plant Breeding
- Genetics
Background:
- Maize (Zea mays L.) is a vital global crop, necessitating continuous genetic improvement for both yield and nutritional value.
- Identifying reliable indicators for nutritional quality is crucial for efficient breeding programs, especially in early and super-early maturing varieties.
Purpose of the Study:
- To investigate linear relationships between agronomic and nutritional traits in maize genotypes.
- To pinpoint valuable traits for indirect selection to enhance grain nutritional quality in early and super-early maturing maize.
Main Methods:
- Conducted two randomized block design trials with 36 early and 22 super-early maturing maize genotypes.
- Measured six agronomic traits and 15 nutritional traits (protein, energetic).
- Employed genotype correlation and ridge path analysis to assess trait relationships, with nutritional traits as principal variables.
Main Results:
- Established significant linear relationships between several agronomic and nutritional traits.
- Identified specific agronomic traits as effective indicators for indirect selection of nutritional quality.
- Agronomic traits such as days to flowering, plant height, ear insertion height, ear weight, and grain yield showed potential.
Conclusions:
- Agronomic traits can serve as effective proxies for assessing grain nutritional quality in maize breeding.
- The findings support the use of indirect selection based on observable agronomic characteristics to improve maize nutritional profiles efficiently.
Related Concept Videos
Trihybrid Crosses
26.3K
Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal...
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal...
26.3K
Monohybrid Crosses
240.1K
Overview
240.1K
Epistasis Analysis
6.0K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
6.0K
Dihybrid Crosses
81.9K
Overview
81.9K
Chi-square Analysis
44.5K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
44.5K
Multiple Allele Traits
38.4K
The Concept of Multiple Allelism
38.4K

