Evidence map›Paper›PMID 39947321›Full record

ArticleJournal of advanced research2025

Development of dual disease resistant Basmati rice varieties offer significant economic advantage and impetus to sustainable crop production.

Ranjith Kumar Ellur, Apurva Khanna, Ashutosh Kumar Yadav, Santoshkumar Magdum, Sarvesh Kumar Maurya, K K Vinod, Alexander Balamurugan, G Prakash, K K Mondal, S Gopala Krishnan and 5 more

Abstract read
In one paragraph

Article in Journal of advanced research, 2025. 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

15 authors.

Ranjith Kumar EllurDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Apurva KhannaDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Ashutosh Kumar YadavDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Santoshkumar MagdumDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Sarvesh Kumar MauryaDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
K K VinodDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Alexander BalamuruganDivision of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
G PrakashDivision of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
K K MondalDivision of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
S Gopala KrishnanDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
M NagarajanRice Breeding and Genetics Research Centre, ICAR-Indian Agricultural Research Institute, Aduthurai 612101, Tamil Nadu, India.
Praveen Koovalamkadu VelayudhanDivision of Agricultural Economics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Prolay Kumar BhowmickDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
B HarithaDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
A K SinghDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India. Electronic address: aks_gene@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBacterial blight and blast are the major diseases causing production losses to an extent of 31.52% to 67.79% in Pusa Basmati 1121(PB1121) and Pusa Basmati 6(PB6), respectively. Use of chemical pesticides leads to increased cost of cultivation, degradation of environment and human health while affecting international trade.

objectiveThe study aimed at developing bacterial blight and blast resistant Basmati rice varieties and to assess their impact in farmers' field.

methodsA marker assisted selection from intercross of backcross derived lines was implemented to incorporate bacterial blight resistance genes xa13 and Xa21; along with blast resistance genes Pi2 and Pi54. The developed lines were evaluated across multiple environments before release as commercial varieties. The technology was assessed for its impact based on the feedback of farmers'.

resultsMarker assisted breeding integrated with stringent phenotypic selection for Basmati quality traits and multi-season trials has led to isolating top performing lines with genome similarity ranging from 94.56% to 96.16% among Pusa Basmati 1121 (PB1121) derivatives and 93.72% to 94.59% among the Pusa Basmati 6 (PB6) derivatives. Reassuring the effectiveness of the target genes in the recurrent parent backgrounds, the selected lines showed no loss of yield when managed without pesticide application. Besides, the lines performed stably across target population of environments (TPEs) covering the entire Basmati growing region. The best performing lines were released for commercial cultivation as varieties, Pusa Basmati 1885 (PB1885) and Pusa Basmati 1886 (PB1886). By growing these varieties, farmers have realised a saving of US$ 95/ha in PB1885 and US$ 134/ha in PB1886, towards managing bacterial blight and blast diseases.

conclusionThe technology developed holds great potential for producing pesticide residue free Basmati rice under environment friendly production conditions. The developed varieties can strengthen trade of Indian Basmati rice in international market while significantly reducing cost of cultivation.

Indexed as

Crop ProductionCrops, AgriculturalDisease ResistanceOryzaPlant DiseasesPlant BreedingBacterial blightBasmati riceBlastMolecular breedingResistance

Identifiers

PMID39947321
PMCPMC12685509

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.