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Quantifying cropping practices in relation to inoculum levels of Fusarium graminearum on crop stubble
Author(s) -
Guo X. W.,
Fernando W. G. D.,
Bullock P.,
Sapirstein H.
Publication year - 2010
Publication title -
plant pathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.928
H-Index - 85
eISSN - 1365-3059
pISSN - 0032-0862
DOI - 10.1111/j.1365-3059.2010.02353.x
Subject(s) - tillage , crop rotation , crop , mathematics , linear regression , agronomy , conventional tillage , regression analysis , cropping system , fusarium , cropping , statistics , biology , agriculture , horticulture , ecology
This study was conducted in 58 producer‐field locations in Manitoba from 2003 to 2006 to understand how cropping practices influence Fusarium graminearum inoculum levels on stubble of various crops, including wheat, collected from the soil surface. Colonies per m 2 (CN) were determined and converted to base‐10 logarithm values (log 10 CN). Mean log 10 CN of the sampled field for various crops and groups of crops grown in the 3 years prior to sampling were tested to find significant differences. Average log 10 CN values were also used to determine significant differences between tillage systems and the effect of number of years. Average log 10 CN values for zero and minimum tillage systems were not different but were significantly higher than values for conventional tillage. A series of three crop rotation scenarios were tested using weighted log 10 CN values for crop, tillage, their interaction and their squared terms in step‐wise regression models to identify which model was the best predictor of log 10 CN. This was selected as the cropping practice index (CPI) model and was expressed as: CPI = 1·98423 + 0·55975 ( C 2 × C 1 × T ) 2 + 0·4390 ( C 2 × T ) 2 , where C 1 , C 2 and T represent the weighted log 10 CN values for crops grown 1 and 2 years previously and tillage system, respectively. R 2 value for this model was 0·933 ( P < 0·0001). The reliability of the CPI model was tested using jack‐knife full cross‐validation regression. The resulting R 2 was 0·899. The CPI model was tested using data collected from seven wheat fields in 2006 ( R 2 = 0·567). The relationship between CPI and FHB index ( R 2 = 0·715) was significant.