Influence of Semiarid Cropping Systems on Root Diseases and Inoculum Density of Soilborne Pathogens

Economic Loss from Rhizoctonia Bare Patch in Rainfed Winter Wheat and Spring Barley in Oregon

Economic loss from Rhizoctonia bare patch, caused by Rhizoctonia solani AG-8, was estimated in two 50-ha fields on a single farm. A winter wheat crop was managed as a conventionally cultivated 2-year wheat/fallow rotation and a spring barley crop was managed as a no-till annual crop. Aerial photographs revealed that the patch-affected area was nearly double in barley (17%) compared with wheat (9%). Yield inside patches was reduced by 73 and 68% for wheat and barley, respectively. Grain produced on each field was reduced more for winter wheat (21.6 metric tons [t], valued at US$5,080) than for spring barley (16.8 t, valued at US$2,784). More precise estimates of economic damage and more robust management practices for Rhizoctonia bare patch must be developed.

Root-Lesion Nematodes Affecting Dryland Cereals in the Semiarid Pacific Northwest U.S.A

Root-lesion nematodes (Pratylenchus spp.) are parasites that invade and deteriorate roots, thereby reducing the efficiency of water and nutrient uptake. Pratylenchus neglectus and P. thornei are the two species that are most prevalent and cause reduced yields of rainfed wheat and barley in semiarid regions of the Pacific Northwest. They are particularly damaging where wheat and barley are produced without irrigation in areas receiving less than 450 mm (18 in.) of precipitation annually. This review is focused on the biology and management of P. neglectus and P. thornei in semiarid rainfed agriculture. Characteristics of climates, soils, and crop production systems are described as a preface to constraints placed upon management options. Discussions include the economic importance, host ranges, and protocols for sampling and species identification. Discussion of disease management options include crop rotation, genetic resistance and tolerance, planting date, trap and biofumigant crops, crop nutrition, chemical and biological nematicides, and tillage. Predictions for rainfed agriculture in a period of changing climate are presented, as are suggestions for important areas of research including crop genetics, nematode testing, and communication of results, Pratylenchus biology, mechanisms of resistance, the phytobiome, and closing the "yield gap" between actual and attainable yields.

Identification of New Sources of Resistance to Crown Rot and Fusarium Head Blight in Wheat

Crown rot (CR) and Fusarium head blight (FHB) are two serious wheat diseases caused by Fusarium pathogens in China. To identify new resistant sources for CR and FHB, 205 Chinese wheat cultivars collected from Huang-Huai wheat-growing region in China were screened for resistance. Cunmai633, LS4607, Pubing01, and Hongyun2 showed seedling resistance to CR with disease index (DI) less than 0.25. Sixteen cultivars showed adult-plant resistance to CR with DI lower than 0.10. Twenty-six cultivars showed moderate resistance to CR at seedling stage with DI from 0.26 to 0.35, and 63 cultivars showed moderate adult-plant resistance with DI from 0.11 to 0.20. Among them, Cunmai633, LS4607, Pubing01, Xinong916, Zhengda161, Xumai14017, Zhengpinmai30, Bainong8822, Jimai216, Huacheng865, Fengyumai5, and Tianmin319 showed resistance or moderate resistance to CR at both seedling and adult plant stages, with Cunmai633 showing the best resistance. Most of the cultivars (>76%) were susceptible to FHB in both the 2017 and 2018 experiments with DI > 0.40. However, some cultivars demonstrated excellent FHB resistance. For example, Zhongyu1526, Tianminxiaoyan369, and Yangao168 were resistant (DI ≤ 0.25) in 2017 and moderately resistant (0.26 ≤ DI ≤ 0.40) in 2018; Zhongwo9 was moderately resistant in 2017 (DI = 0.38) and resistant in 2018 (DI = 0.25). Eight cultivars (Cunmai608, Zhengmai162, Minfeng266, Junda159, LS4607, Deyan1603, Pumai1165, and Fengmai12) showed moderate FHB resistance with DI lower than 0.40 in both experiments. LS4607 showed moderate resistance to both diseases. The resistant cultivars identified in this study can be used for mapping the resistance genes and improving resistance to CR and/or FHB.

Mechanized Method to Inoculate Field Soil to Evaluate Fusarium Crown Rot of Wheat

Assessments of Fusarium crown rot are often made in field trials inoculated with Fusarium pseudograminearum or F. culmorum. Factors affecting the efficiency of two inoculation procedures were evaluated. Pulverized Fusarium-colonized wheat plus oat grain inoculum mixed with the wheat seed caused more seedling damping-off compared with equal rates of colonized whole millet seeds placed 2 cm above the wheat seed. Both inoculation systems increased the incidence and severity of crown rot. The efficiency of F. pseudograminearum-colonized millet seed inoculum was not reduced when wheat seed was treated with difenoconazole. Crown rot in inoculated plots became greater when starter fertilizer was applied with or below the wheat seed and when soil below the wheat seed was disrupted by a seed drill with an opener that creates a groove or trench directly below the seed. No biologically important associations were detected between whiteheads and other measures of crown rot, grain yield, or grain test weight. The millet seed inoculation system was the most efficient for wheat production systems in the semiarid U.S. Pacific Northwest.

Fusarium Crown Rot Whitehead Symptom as Influenced by Wheat Crop Management and Sampling Date

Symptoms of Fusarium crown rot of wheat include premature death of inflorescens (whiteheads), lesions on subcrown internodes, and rotting of crown tissue and lower stem internodes. Each symptom type is influenced by a different set of environmental conditions. Whiteheads are the easiest symptom to quantify and are frequently reported in the Pacific Northwest U.S.A. The objective of this research was to examine factors associated with whitehead expression and relationships with wheat yield and test weight. Incidence of whiteheads differed for inoculations with different isolates of F. pseudograminearum and F. culmorum, and over years due to weather factors. Whiteheads became less as planting dates for winter wheat were delayed until after September, and incidence was increased with increasing nitrogen application rate. Dates of initial and greatest expression of whiteheads differed among cultivars, which was associated in part with the cultivar heading date. Whiteheads were not correlated with subcrown internode lesions or browning of crown tissue. Whiteheads were also not correlated with grain test weight. Whiteheads were sometimes negatively associated with grain yield, but that relationship was variable and could not be considered a reliable, recurrent, or accurate measure of crown rot severity. These results indicate the need for caution in reporting whiteheads as a sole indicator of cultivar susceptibility to Fusarium crown rot.

Rapid Quantification of Soilborne Pathogen Communities in Wheat-Based Long-Term Field Experiments

Rainfed experiments operated continuously for up to 84 years in semiarid eastern Oregon are among the oldest agronomic trials in North America. Disease incidence and severity had been quantified visually but quantification of inoculum density had not been attempted. Natural inoculum of 17 fungal and nematode pathogens were quantified for each of 2 years on eight trials using DNA extracts from soil. Crop type, tillage, rotation, soil fertility, year, and their interactions had large effects on the pathogens. Fusarium culmorum and Pratylenchus thornei were more dominant than F. pseudograminearum and P. neglectus where spring crops were grown, and the opposite species dominances occurred where winter wheat was the only crop. Bipolaris sorokiniana and Phoma pinodella were restricted to the presence of spring cereals and pulse crops, respectively. Helgardia spp. occurred in winter wheat-fallow rotations but not in annual winter wheat. Gaeumannomyces graminis var. tritici was more prevalent in cultivated than noncultivated soils and the opposite generally occurred for Rhizoctonia solani AG-8. Densities of Pythium spp. clade F were high but were also influenced by treatments. Significant treatment effects and interactions were more prevalent in two long-standing (>50-year) annually cropped experiments (29%) than two long-standing 2-year wheat-fallow rotations (14%). Associations among pathogens occurred mostly in an 84-year-old annual cereals experiment. This survey provided guidance for research on dynamics of root-infecting pathogens of rainfed field crops and identified two pathogens (Drechslera tritici-repentis and P. pinodella) not previously identified at the location.

Predicting Cereal Root Disease in Western Australia Using Soil DNA and Environmental Parameters

Root diseases have long been prevalent in Australian grain-growing regions, and most management decisions to reduce the risk of yield loss need to be implemented before the crop is sown. The levels of pathogens that cause the major root diseases can be measured using DNA-based services such as PreDicta B. Although these pathogens are often studied individually, in the field they often occur as mixed populations and their combined effect on crop production is likely to vary across diverse cropping environments. A 3-year survey was conducted covering most cropping regions in Western Australia, utilizing PreDicta B to determine soilborne pathogen levels and visual assessments to score root health and incidence of individual crop root diseases caused by the major root pathogens, including Rhizoctonia solani (anastomosis group [AG]-8), Gaeumannomyces graminis var. tritici (take-all), Fusarium pseudograminearum, and Pratylenchus spp. (root-lesion nematodes) on wheat roots for 115, 50, and 94 fields during 2010, 2011, and 2012, respectively. A predictive model was developed for root health utilizing autumn and summer rainfall and soil temperature parameters. The model showed that pathogen DNA explained 16, 5, and 2% of the variation in root health whereas environmental parameters explained 22, 11, and 1% of the variation in 2010, 2011, and 2012, respectively. Results showed that R. solani AG-8 soil pathogen DNA, environmental soil temperature, and rainfall parameters explained most of the variation in the root health. This research shows that interactions between environment and pathogen levels before seeding can be utilized in predictive models to improve assessment of risk from root diseases to assist growers to plan more profitable cropping programs.