Evidence map›Paper›PMID 41575596›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026

Understanding the genetics of root system architecture in pigeonpea [Cajanus cajan (L.) Millsp.].

Krishna B Gaiwal, Shruthi H Belliappa, Naresh Bomma, Satheesh Naik, N Sandhyakishore, Sagar K Rangari, Ashwini Kalyan, Shivaji P Mehtre, Anilkumar Vemula, Rahul Bhosale and 4 more

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 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. Review
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

14 authors.

Krishna B GaiwalInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India.
Shruthi H BelliappaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India.
Naresh BommaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India.
Satheesh NaikIndian Institute of Agricultural Research, Pusa Campus (IARI), Samstipur, Bihar, 848125, India.
N SandhyakishoreRegional Agriculture Research Station, PJTSAU, Warangal, Telangana, 506002, India.
Sagar K RangariInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India.
Ashwini KalyanInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India.
Shivaji P MehtreDepartment of Genetics and Plant Breeding, Vasantrao Naik Marathwada Agricultural University, Parbhani, 431401, India.
Anilkumar VemulaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India.
Rahul BhosaleSchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Nottingham, LE12 5RD, UK.
Manish K PandeyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India.
Harish GandhiInternational Maize and Wheat Improvement Center (CIMMYT), ICRAF House, United Nations Avenue, Gigiri, Nairobi, 00621, Kenya.
Sean MayesInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India.
Prakash I GangashettyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India. Prakash.Gangashetty@icrisat.org.ORCID http://orcid.org/0000-0002-6766-1415

Funding

Biotechnology and Biological Sciences Research Council BB/S011102/1Biotechnology and Biological Sciences Research Council BB/X018806/1Biotechnology and Biological Sciences Research Council UK government
6 · The paper itself

Abstract

key messageField-based phenotyping of root system architectural (RSA) traits in a diversity panel (PI-GAP) of pigeonpea was conducted across three diverse pigeonpea growing environments along with identification of genomic regions associated with these traits through GWAS analysis. Root system architecture (RSA) plays a crucial role in plant stress tolerance mechanisms serving as the main route for water and nutrient acquisition, while also mediating plant-rhizosphere signalling. In the current study, an attempt was made to understand the genetic variability and genomic regions associated with RSA traits, as a relatively unexplored area of research in pigeonpea. The field-based "Shovelomics" approach was utilized to phenotype eight RSA traits: tap root length (TRL), lateral root length (LRL), number of lateral roots (NRL), stem diameter (SD), root diameter (RD), root angle from first and second lateral roots (RA1 and RA2) and root fresh weight (RFW) at physiological maturity. The pigeonpea international genome-wide association panel (PI-GAP) comprising of 185 genotypes from the reference set and 15 elite genotypes were used in the study. The combined ANOVA revealed significant genetic variance for all RSA traits except for RA2. Genome-wide association study was conducted using the Axiom Cajanus 56 K SNP array, leading to identification of 45 marker trait associations (MTAs) associated with RSA traits in pigeonpea. Multi-locus GWAS models detected six MTAs accounting for 4.84% to 18.73% of the phenotypic variation estimated (PVE) for TRL, 12 MTAs for LRL (4.73-13.92% PVE) and 11 MTAs for NLR (3.03-14.03% PVE value), respectively. Candidate gene analysis revealed genes associated with these traits, including BAG (Bcl-2-Associated athanogene) family molecular chaperone regulator 6 (CcLG01_17476096 and CcLG01_17476721), root cap (CcLG04_5972718) and Protein MAINTENANCE OF MERISTEMS (MAIN) (CcLG06_8242342). These genes were found to have key roles in growth and establishment of roots under stress-related conditions in model crops. Further validation of identified MTAs would provide an opportunity to develop trait-specific markers paving the way for marker-assisted breeding in pigeonpea. Based on RSA traits, pigeonpea genotypes were categorized into deep, spreading and dimorphic root system. These classifications facilitate the phenotypic selection of genotypes for breeding against drought, heat, waterlogging and salinity adaptation. Improved cultivars with an ideal root architecture designed for efficient resource uptake and high yield under diverse environments could help address food security challenges in semi-arid tropics.

Indexed as

CajanusPlant RootsQuantitative Trait LociChromosome MappingGenetic Association StudiesGenome-Wide Association StudyGenotypePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID41575596
PMCPMC12830489

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.