Stem Rot of Pearl Millet Prevalence, Symptomatology, Disease Cycle, Disease Rating Scale and Pathogen Characterization in Pearl Millet-Klebsiella Pathosystem.

Klebsiella pearl millet stem rot

Journal

The plant pathology journal
ISSN: 1598-2254
Titre abrégé: Plant Pathol J
Pays: Korea (South)
ID NLM: 100966769

Informations de publication

Date de publication:
Feb 2024
Historique:
received: 18 09 2023
accepted: 29 12 2023
medline: 8 2 2024
pubmed: 8 2 2024
entrez: 8 2 2024
Statut: ppublish

Résumé

The oldest and most extensively cultivated form of millet, known as pearl millet (Pennisetum glaucum (L.) R. Br. Syn. Pennisetum americanum (L.) Leeke), is raised over 312.00 lakh hectares in Asian and African countries. India is regarded as the significant hotspot for pearl millet diversity. In the Indian state of Haryana, where pearl millet is grown, a new and catastrophic bacterial disease known as stem rot of pearl millet spurred by the bacterium Klebsiella aerogenes (formerly Enterobacter) was first observed during fall 2018. The disease appears in form of small to long streaks on leaves, lesions on stem, and slimy rot appearance of stem. The associated bacterium showed close resemblance to Klebsiella aerogenes that was confirmed by a molecular evaluation based on 16S rDNA and gyrA gene nucleotide sequences. The isolates were also identified to be Klebsiella aerogenes based on biochemical assays, where Klebsiella isolates differed in D-trehalose and succinate alkalisation tests. During fall 2021-2023, the disease has spread all the pearl millet-growing districts of the state, extending up to 70% disease incidence in the affected fields. The disease is causing considering grain as well as fodder losses. The proposed scale, consisting of six levels (0-5), is developed where scores 0, 1, 2, 3, 4, and 5 have been categorized as highly resistant, resistant, moderately resistant, moderately susceptible, susceptible, and highly susceptible disease reaction, respectively. The disease cycle, survival of pathogen, and possible losses have also been studied to understand other features of the disease.

Identifiants

pubmed: 38326958
pii: PPJ.OA.09.2023.0126
doi: 10.5423/PPJ.OA.09.2023.0126
doi:

Types de publication

Journal Article

Langues

eng

Pagination

48-58

Auteurs

Vinod Kumar Malik (VK)

Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Pooja Sangwan (P)

Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Manjeet Singh (M)

Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Pavitra Kumari (P)

Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Niharika Shoeran (N)

Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Navjeet Ahalawat (N)

Department of Bioinformatics and Computational Biology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Mukesh Kumar (M)

Department of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Harsh Deep (H)

Department of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Kamla Malik (K)

Department of Microbiology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Preety Verma (P)

Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Pankaj Yadav (P)

Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Sheetal Kumari (S)

Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.
Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India.

Sambandh Dhal (S)

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77840, USA.

Classifications MeSH