Evidence map›Paper›PMID 35898221›Full record

ArticleFrontiers in plant science2022

Grain Nutrients Variability in Pigeonpea Genebank Collection and Its Potential for Promoting Nutritional Security in Dryland Ecologies.

Dhanapal Susmitha, Thiyagarajan Kalaimagal, Ramachandran Senthil, Mani Vetriventhan, Swaminathan Manonmani, Prabhakaran Jeyakumar, Bellie Anita, Surender Reddymalla, Pushpajeet L Choudhari, Chetna A Nimje and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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, 9 citations in OpenAlex.

  1. Understanding the genetics of root system architecture in pigeonpea [Cajanus cajan (L.) Millsp.].TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Dhanapal SusmithaGenebank, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
Thiyagarajan KalaimagalCentre for Plant Breeding and Genetics, Tamil Nadu Agricultural University (TNAU), Coimbatore, India.
Ramachandran SenthilGenebank, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
Mani VetriventhanGenebank, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
Swaminathan ManonmaniCentre for Plant Breeding and Genetics, Tamil Nadu Agricultural University (TNAU), Coimbatore, India.
Prabhakaran JeyakumarOffice of the Registrar, Tamil Nadu Agricultural University (TNAU), Coimbatore, India.
Bellie AnitaDirectorate of Open Distance Learning, Tamil Nadu Agricultural University (TNAU), Coimbatore, India.
Surender ReddymallaGenebank, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
Pushpajeet L ChoudhariCharles Renard Analytical Laboratory, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
Chetna A NimjeCharles Renard Analytical Laboratory, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
Ovais H PeerzadaGenebank, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
Venkata Narayana ArvetiGenebank, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
Vania C R AzevedoInternational Potato Center (CIP), Lima, Peru.
Kuldeep SinghGenebank, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.
International Crops Research Institute for the Semi-Arid Tropics · INTamil Nadu Agricultural University · INInternational Potato Center · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pigeonpea, a climate-resilient legume, is nutritionally rich and of great value in Asia, Africa, and Caribbean regions to alleviate malnutrition. Assessing the grain nutrient variability in genebank collections can identify potential sources for biofortification. This study aimed to assess the genetic variability for grain nutrients in a set of 600 pigeonpea germplasms conserved at the RS Paroda Genebank, ICRISAT, India. The field trials conducted during the 2019 and 2020 rainy seasons in augmented design with four checks revealed significant differences among genotypes for all the agronomic traits and grain nutrients studied. The germplasm had a wider variation for agronomic traits like days to 50% flowering (67-166 days), days to maturity (112-213 days), 100-seed weight (1.69-22.17 g), and grain yield per plant (16.54-57.93 g). A good variability was observed for grain nutrients, namely, protein (23.35-29.50%), P (0.36-0.50%), K (1.43-1.63%), Ca (1,042.36-2,099.76 mg/kg), Mg (1,311.01-1,865.65 mg/kg), Fe (29.23-40.98 mg/kg), Zn (24.14-35.68 mg/kg), Mn (8.56-14.01 mg/kg), and Cu (7.72-14.20 mg/kg). The germplasm from the Asian region varied widely for grain nutrients, and the ones from African region had high nutrient density. The significant genotype × environment interaction for most of the grain nutrients (except for P, K, and Ca) indicated the sensitivity of nutrient accumulation to the environment. Days to 50% flowering and days to maturity had significant negative correlation with most of the grain nutrients, while grain yield per plant had significant positive correlation with protein and magnesium, which can benefit simultaneous improvement of agronomic traits with grain nutrients. Clustering of germplasms based on Ward.D2 clustering algorithm revealed the co-clustering of germplasm from different regions. The identified top 10 nutrient-specific and 15 multi-nutrient dense landraces can serve as promising sources for the development of biofortified lines in a superior agronomic background with a broad genetic base to fit the drylands. Furthermore, the large phenotypic data generated in this study can serve as a raw material for conducting SNP/haplotype-based GWAS to identify genetic variants that can accelerate genetic gains in grain nutrient improvement.

Indexed as

biofortificationcalciumlandracesmineralspigeonpeaprotein

Identifiers

PMID35898221
PMCPMC9310011
OpenAlexW4285012043

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.