ArticlePlants (Basel, Switzerland)2022
Phenotypic and Genotypic Characterization and Correlation Analysis of Pea (
Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Assessing Multiple Agronomic Functions of a Winter Pea (Plants (Basel, Switzerland) · 2026Article
- Agronomic performance and yield stability of field pea (Pisum sativum L.) genotypes in multi-environment trials.BMC plant biology · 2025Article
- Extent and patterns of morphological and molecular genetic diversity and population structure of Nigerian Taro cultivars.BMC plant biology · 2024Article
- Exploratory analysis of agro-morphological characteristics in Nigella sativa L. plant genotypes to determine mutagen colchicine ameliorative/ non-ameliorative impacts.Scientific reports · 2024Article
- Heat stress tolerance in wheat seedling: Clustering genotypes and identifying key traits using multivariate analysis.Heliyon · 2024Article
- Reproductive Morphology and Success in Annual versus Perennial Legumes: Evidence fromPlants (Basel, Switzerland) · 2024Article
- Genetic diversity and population structure analysis of a diverse panel of pea (Frontiers in genetics · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
Phenotypic and genotypic characterization were performed to assess heritability, variability, and seed yield stability of pea genotypes used in breeding to increase the pea production area. A European pea diversity panel, including genotypes from North America, Asia, and Australia consisting of varieties, breeding lines, pea, and landraces was examined in 2019 and 2020 in Serbia and Belgium using augmented block design. The highest heritability was for thousand seed weight; the highest coefficient of variation was for seed yield. The highest positive correlation was between number of seeds per plant and number of pods per plant; the highest negative correlation was between seed yield and protein content. Hierarchical clustering separated pea germplasm based on use and type. Different Principal component analysis grouping of landraces, breeding lines, and varieties, as well as forage types and garden and dry peas, confirms that there was an apparent decrease in similarity between the genotypes, which can be explained by their different purposes. Pea breeding should be focused on traits with consistent heritability and a positive effect on seed yield when selecting high-yielding genotypes, and on allowing for more widespread use of pea in various agricultural production systems.
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Registered trials
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