Potential of Grain Physical Traits to the Study of Variability in Maize
Rafael Nunes de Almeida, André Soares de Castro
Journal of Scientific Research and Reports · pp. 153–160 · Published 13 Dec 2022
10.9734/jsrr/2022/v28i111712Abstract
Aims: The identification of new traits that can be used as phenotypic markers as well as potential indirect selection tools is interesting for plant breeding. The objective of the study was to investigate the potential use of physical traits of grains to study phenotypic variability in maize. Methodology: Ten maize varieties were evaluated, one commercial variety and nine local open-pollinated varieties. After harvesting, the following traits were evaluated: mass of 1000 grains, weight of ears, grain yield per hectare, estimated from plot production; real volume and apparent volume; real density and apparent density; sphericity and volumetric weight; obtained in samples of 50 grains of each of the studied varieties. A principal component analysis was performed on the data. First, those traits that showed a strong correlation with components capable of explaining a smaller portion of the total variation were excluded from the analysis. A new principal component analysis was performed with the remaining traits. Results: The result revealed the possibility of excluding five of the ten analyzed variables: mass of 1000 grains, weight of ears, apparent volume, real density, and volumetric weight. Some possibilities of trait exclusion can be explained by correlation and method of estimate among them. The genotypes G2 and G3 showed great difference, mainly due the grain yield. The porosity and real volume contributed to the majority variation among genotypes. Conclusion: Some physical grain traits showed potential for use in divergence studies. Apparent density can be used in indirect selection strategies for higher grain yield.
Cited by 2
Ajay Kumar, Ashish Narayan, Vinay Kumar Choudhary · Journal of Advances in Biology & Biotechnology · 2024
S. Velmurugan · Social Science Research Network · 2024
Related research
- Divergence Studies for Yield and Quality Traits in Foxtail Millet (Setaria italica (L.) Beauv.) — shares topic coverage
- Factors Determining the Consumers Behavior of Branded Milk and Milk Products in Tirupati City of Andhra Pradesh — shares topic coverage
- Principal Component Analysis for Yield and Quality Traits of Blackgram (Vigna mungo (L.) Hepper) — shares topic coverage
- Principal Component Analysis of Cognitive Executive Functions: A Predictive Model of Academic Performance of Students in Mathematics in Secondary Schools — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
2
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.