Variation in occurrence and severity of major sorghum grain mold pathogens in India

    Thakur, R P and Rao, V P and Agarkar, G D and Solunke, R B and Bhat, B and Navi, S S (2006) Variation in occurrence and severity of major sorghum grain mold pathogens in India. Indian Phytopathology, 59 (4). pp. 410-416.

    [img]
    Preview
    		 PDF
    Download (464kB) | Preview

    Abstract

    The variation in the occurrence and severity of pathogenic grain mould fungi were studied through a collaborative study in a Sorghum Grain Mould Variability Nursery (SGMVN), consisting of 12 sorghum genotypes, that was established at five locations (Akola and Parbhani, Maharashtra; Palem; Patancheru, Andhra Pradesh; and Surat, Gujarat) during the three rainy seasons of 2002-04. Grain mould infection severity by the major pathogens was recorded at physiological maturity and on threshed grain, and grain colonization was measured using the blotter method. Among the fungal species, Fusarium spp., Curvularia lunata [Cochliobolus lunatus], Alternaria alternata and Phoma sorghina, in receding order, were predominant across locations and genotypes. Analysis of variance indicated highly significant effects of location, year, genotype and their interactions on grain mould severity and grain colonization by the four fungi. Grain colonization was highest with Fusarium spp. at Parbhani (54%); with Curvularia lunata at Surat (45%); with A. alternata both at Parbhani (25%) and Patancheru (23%); and with P. sorghina at Patancheru (17%). Four of the sorghum genotypes (ICSV 96101, ICSV 95001, SPV 351/ICSV 1, and ICSV 91008) showed tolerance to mould (≤3.0 severity) and these could serve as sources of grain mould resistance.

    Item Type: Article
    Divisions: UNSPECIFIED
    CRP: UNSPECIFIED
    Subjects: Mandate crops > Sorghum
    Depositing User: Library ICRISAT
    Date Deposited: 15 Oct 2011 04:02
    Last Modified: 15 Oct 2011 04:02
    URI: http://oar.icrisat.org/id/eprint/2531
    Official URL:
    Projects: UNSPECIFIED
    Funders: UNSPECIFIED
    Acknowledgement: UNSPECIFIED
    Links:
    View Statistics

    Actions (login required)

    View Item View Item
    OAR@ICRISAT is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.