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    Abstract
2011 (Vol. 3, Issue: 3)
Article Information:

A Potential Model for Pea Footrot Disease Prediction

Ebimieowei Etebu and Andrew Mark Osborn
Corresponding Author:  Ebimieowei Etebu 

Key words:  Footrot disease, peas, Fusarium solani, Nectria haematococca, pea pathogenicity gene (PEP3), soil DNA, soil physico-chemical properties
Vol. 3 , (3): 177-186
Submitted Accepted Published
2011 February, 08 2011 March, 08 2011 May, 25
Abstract:

Footrot disease due to Nectria haematococca (anamorph Fusarium solani f. sp pisi) is a globally, economically important disease of peas. Although the principle of inter-relationship between soil factors, inoculum density and disease potential in disease incidence, development and severity is recognised, and molecular techniques targeting a pea pathogenicity gene (PEP3) have recently been developed to accurately estimate the inoculum load of pathogenic forms of N. haematococca in soil, works incorporating soil parameters in a predictive model is yet unknown. Hence, in this research, some biotic and abiotic soil properties were assessed and the factors that influence the interaction between pathogenic N. haematococca and peas, culminating to footrot disease were studied. Pearson correlation results showed that pea footrot disease severity arising from the interaction between pathogenic N. haematococca and pea was largely dependent on the abiotic component of soil. Pea footrot disease was significantly (p = 0.05) related to soil pH (r2 = 0.52), total oxidised nitrogen (r2 = 0.41), C/N ratio (r2 = -0.39), phosphate concentration (r2 = 0.56) and potassium (r2 = 0.31). Principal component analysis results showed that footrot disease, pea pathogenicity gene (PEP3), fungal richness, phosphate, potassium and magnesium were positively inter-related. A predictive disease model [DI = 1.97 + (3.48×Phosphate) + (-0.66×C/N)] (R2 = 0.42) identified phosphate and C/N ratio as abiotic factors that determine footrot disease severity of peas in soil.
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  Cite this Reference:
Ebimieowei Etebu and Andrew Mark Osborn, 2011. A Potential Model for Pea Footrot Disease Prediction.  Asian Journal of Agricultural Sciences, 3(3): 177-186.
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ISSN (Online):  2041-3890
ISSN (Print):   2041-3882
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