ArticleBMC plant biology2025
Phenotypic diversity and multivariate analyses of yield and yield-related traits in amaranth accessions from Malawi.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Identification of Promising Amaranth (Plants (Basel, Switzerland) · 2026Article
- Integrating Multivariate Analysis and DNA Barcoding for Amaranth Germplasm Characterization and Promising Genotype Selection.Plants (Basel, Switzerland) · 2026Article
- Genetic Variation for Autumn-Winter Forage Yield in a Segregating Tetraploid FPlants (Basel, Switzerland) · 2026Article
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Authors and funding
8 authors.
Funding
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Abstract
backgroundAmaranth (Amaranthus spp.) is an underutilized, climate-resilient crop with the potential to improve food and nutritional security, particularly in sub-Saharan Africa. Despite its potential as a climate-resilient and nutritious crop, limited research on the genetic diversity and agronomic performance of locally adapted amaranth genotypes restricts understanding of key trait relationships and slows breeding progress. This study aimed to address this gap by evaluating the genetic variation and trait-based classification of six amaranth genotypes using univariate, bivariate, and multivariate statistical analyses on seven quantitative traits.
resultsPrincipal component analysis revealed that the first two components explained 63.6% of the total variation, effectively distinguishing genotypes based on key vegetative traits (leaf length, leaf width, stem girth, and plant height) and yield-related parameters (inflorescence length, grain yield and dry biomass). Cluster analysis identified two statistically distinct groups, with grain yield and inflorescence length contributing most to genetic divergence. Strong positive correlations among grain yield, stem girth, leaf length, and inflorescence traits suggest opportunities for indirect selection. Genotypes CK-BH-01 and LL-BH-04 exhibited superior performance in yield-related traits, making them as promising candidates for breeding improvement.
conclusionThese findings provide a robust, data-driven framework for trait-based selection in amaranth breeding, supporting the development of high-yielding, stress-resilient varieties adapted to diverse agroecological zones.
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