Evidence map›Paper›PMID 41840506›Full record

ArticleBMC plant biology2026

Exploring grain amaranth germplasm potential as a source of breeding nutritious leafy greens: insights from nutritional profiling, genetic and multivariate analysis.

Srija Priyadarsini, Gobinda Chandra Acharya, Saurabh Singh, Alok Nandi, Pushpajeet Choudhari, Chetna Nimje

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Srija PriyadarsiniDepartment of Vegetable Science, Institute of Agricultural Sciences, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751029, India. srijapriyadarsini1226@gmail.com.ORCID http://orcid.org/0009-0009-2067-8437
Gobinda Chandra AcharyaCentral Horticultural Experiment Station (ICAR-IIHR), Aiginia, Bhubaneswar, Odisha, 751019, India. gobinda1971@gmail.com.
Saurabh SinghDepartment of Vegetable Science, Rani Lakshmi Bai Central Agricultural University, Jhansi, 284003, U.P, India. horticulturesaurabh@gmail.com.ORCID http://orcid.org/0000-0001-8038-1808
Alok NandiDepartment of Vegetable Science, Institute of Agricultural Sciences, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751029, India. aloknandi@soa.ac.in.
Pushpajeet ChoudhariInternational Crops Research Institute for the Semi-Arid Tropics, Patancheru, Hyderabad, Telengana, 502324, India.
Chetna NimjeInternational Crops Research Institute for the Semi-Arid Tropics, Patancheru, Hyderabad, Telengana, 502324, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrain amaranth (Amaranthus hypochondriacus) is a nutri-dense pseudocereal with dual-purpose potential as both grain and leafy vegetable. The exploration of grain amaranth types as leafy green could be useful in diversifying food systems, cropping systems and enhancing amaranth germplasm resources. The systematic nutritional profiling and multivariate analysis of grain amaranth leaves is limited, constraining targeted breeding efforts to improve nutritional quality. To establish its breeding potential for nutritious leafy greens, underscoring the compositional diversity of mineral nutrients and heavy metals accumulation in grain amaranth germplasm is vital.

resultsPlants were grown in an augmented randomized block design, and nutrient profiling was performed using digestion-based methods and microwave plasma atomic emission spectroscopy (MP-AES). Significant genetic variations were observed for essential mineral nutrients and heavy metals concentrations. Exotic accession EC519523 exhibited superior N and P content, while indigenous collections IC42356 and IC47434 showed promise for K-related nutritional quality. Vegetable checks, Arka Neelachal Bainishi and Arka Neelachal Ruchitha, along with grain type accessions, displayed potential for Fe and Mn biofortification. Notably, the comparative analysis of heavy metals with corresponding FAO/WHO permissible limits depicted significant genotypic variations where several accessions remained within limits, while the mean Cd and Pb values exceeded the referenced permissible thresholds. These findings indicated that suitability for consumption should therefore be considered genotype-dependent rather than universally safe. Multivariate analyses revealed five principal components explaining > 80% of the total variation, while cluster analysis grouped accessions into five nutritional clusters. These results enabled the scope of selecting ideal parents from diverse clusters for escalating breeding for nutritional and food security. Strong correlations between macro- and micronutrients indicated shared uptake pathways.

conclusionsThese findings highlighted the scope of developing Amaranthus hypochondriacus cultivars with dual-purpose value and offered the opportunities for diet diversification, biofortification, and sustainable food security. The results necessitated the need of further multi-location experiments to fetch a better understanding of breeding nutritious cultivars having level of heavy metals within permissible limits, and underscoring the trade-offs between leaf and grain yield in grain amaranths.

Indexed as

AmaranthusPlant BreedingGenetic VariationMetals, HeavyMultivariate AnalysisNutritive ValuePlant LeavesMetals, HeavyAmaranthus hypochondriacusBreedingGenetic variationHeavy metalsMineral nutrientsMultivariate analysisSafe food

Identifiers

PMID41840506
PMCPMC13104351

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.