SOIL PH IN RELATION TO BROWN STEM ROT AND SOYBEAN CYST NEMATODE N.C. Kurtzweil 1, C.R. Grau 2, A.E. MacGuidwin 3, J.M. Gaska 4, and A.W.

Similar documents
RELATIONSHIP BETWEEN SDS AND SCN IN COMMERCIAL SOYBEAN FIELDS IN WISCONSIN 1. Introduction

ABSTRACT: 67 SOYBEAN CYST NEMATODE RESISTANCE HOW IT ALL COMES TOGETHER IN THE MIDWESTERN UNITED STATES

Institute of Ag Professionals

Institute of Ag Professionals

Managing Soybean Cyst Nematode

Shift in Virulence of Soybean Cyst Nematode is Associated with Use of Resistance from PI 88788

2017 ILeVO Trial Harvest Report

Soybean Cyst Nematode and other disease issues in soybean. Sam Markell, Ph.D. Extension Plant Pathologist North Dakota State University

Fusarium root rot of soybean occurrence, impact, and relationship with soybean cyst nematode

Institute of Agric ulture and Natural Resourc es Department of Plant Pathology

Institute of Agric ulture and Natural Resourc es Department of Plant Pathology

Managing Soybean Cyst Nematode with the Soil Test and Crop Rotation

Loren Giesler, Nebraska Extension Plant Pathologist John Wilson, Nebraska Extension Educator Burt Co. Sclerotinia stem rot (White Mold)

Research. Plant Health Progress :

DORIAN GATCHELL JANUARY 5, 2016 GRANITE FALLS, MN JANUARY 6, WATERTOWN, SD JANUARY 7, GRAND FORKS, ND

Improving Management Of Soybean Cyst Nematode Through Extension Demonstration And Outreach

Agronomy Notes Vol 30, No EARLY MATURING VARIETIES AND SOYBEAN CYST NEMATODES: WILL THIS MARRIAGE WORK?

Funding for this research was provided by the Nebraska Soybean Board.

Evaluation of Soybean Varieties Resistant to Soybean Cyst Nematode in Iowa 2009

The soybean cyst nematode (SCN), Heterodera glycines, is the number one yield reducer for

Effect of Host Resistance to Fusarium virguliforme and Heterodera glycines on Sudden Death Syndrome Disease Severity and Soybean Yield

Does Soybean Genetics Affect Soybean Aphid/Virus Management?

RESPONSE OF DEKALB CORN PRODUCTS TO POPULATION

Project title: Fusarium wilt of lettuce: management through detection, avoidance and disease resistance

Foliar fungicide effects on soybean disease suppression, senescence and yield I.

A 2015 multi-site field study on the effects of seed treatment on soybean yield and Soybean Cyst Nematode reproduction

Evaluating the Effectiveness of Iron Chelates in Managing Iron Deficiency Chlorosis in Grain Sorghum

Soybean Cyst Nematode: a Continually Growing Problem in Soybeans?

THE RIGHT SEEDS. THE RIGHT PROTECTION.

An IPM 1 Approach to Managing Herbicide Resistant Ryegrass in Northeast Texas. October, 2014 J. Swart, A. Braley, R. Sutton, S. Stewart, D.

AgriCal by. Healthier Soils Stronger Plants Higher Yields

ABOUT TURF FORMULA. 36% Decrease in Brown Patch 35% Increase in Root Mass 33% Nematode Reduction 73% Salt Reduction in 90 Days

Heterodera glycines. A Threat to Dry Bean production. Berlin Nelson Jr., Professor, North Dakota State Univ., Plant Pathology

Nutrient Recommendations Agronomic Crops Last Updated 12/1/16. Grain Corn. Crop Highlights Target ph: 6.0

What s new with micronutrients in our part of the world?

Evaluation of Manganese Fertility of Upland Cotton in the Lower Colorado Valley

Soybean Nutrient Profile

Application of Real Time PCR for Detection And Identification of Soybean Pests in Michigan

THE PEST NAGEME NT GUIDE

EAR AND KERNEL ROTS. When to look for: Mid-August to October (and during storage)

Interpreting Soils Report. Beyond N P K

2017 Meetings. ILeVO

2006- Foliar insecticide effects on soybean aphid and soybean yield. Summary Background Objective Site and application description

Final 2013 Delaware Soybean Board Report

Brian Diers University of Illinois

Project Title: Evaluating the Distribution and Potential Impacts of Soybean Vein Necrosis Virus in Delaware

MANAGING MARESTAIL AND GIANT RAGWEED IN WHEAT

Delivering the Proven Performance of Three Industry-leading Technologies

Interpreting Plant Tissue and Soil Sample Analysis

ADVANCING CORN YIELDS. Sulf-N Ammonium Sulfate

Insecticides Labeled for Control of Bean Leaf Beetle, Mexican Bean Beetle, and Green Cloverworm. Amount product per acre

Nutrient management irrigated corn. Jim Camberato

The Ohio State University Ohio Agricultural Research and Development Center Wooster, Ohio

Plant Pathology Fact Sheet

DAFFODILS ARE WHAT THEY EAT: NUTRITIONAL ASPECTS OF SOILS

In mid-october, all plots were again soil sampled to determine residual nutrients.

FACTORS AFFECTING WATER QUALITY

Interpretation of Soil Tests for Environmental Considerations

NutriVision Technology Handbook

INFLUENCE OF DAIRY MANURE APPLICATIONS ON CORN NUTRIENT UPTAKE

Dry Bean Fertility Dave Franzen NDSU Soil Science Specialist

Crop Disease Management Row Crop Short Course March 1 st, 2018

Vegetable Update 2013

Wisconsin Field Crops Pathology Fungicide Tests Summary

Fertility management in soybean

2009 Elba Muck Soil Nutrient Survey Results Summary, Part III: Calcium, Magnesium and Micronutrients

Use of Soil and Tissue Testing for Sustainable Crop Nutrient Programs

Raymond C. Ward Ward Laboratories, Inc Kearney, NE

AGVISE Laboratories Established 1976

Nutrition. Grain Legume Handbook

2011 VERMONT ORGANIC CORN SILAGE VARIETY TRIAL MATERIALS AND METHODS

Localized Influence of Heterodera glycines on Sudden Death Syndrome of Soybean 1

Corn and soybean yield responses to micronutrients fertilization

2008 PMR REPORT #ESOYSMI4 SECTION E: CEREAL, FORAGE CROPS, and OILSEEDS Insect Pests

Effects of Harvest Date and Late-Summer Fertilization Rate on Stockpiled Bermudagrass Forage Mineral Concentrations

Effect of Soybean Cyst Nematode on Fatty Acid Levels of Soybean Seed

Fusarium Diseases of Tomato. Hung Doan, Gene Miyao and Mike Davi Department of Plant Pathology University of California, Davis

Lime Fertilizer Interactions Affecting Vegetable Crop Production' Delbert D. Hemphill, Jr., and T. L. ABSTRACT

Variability in Tissue Testing What Does It Mean For Nutrient Recommendations?

Stalking the Soybean Cyst Nematode in Manitoba: What You Need to Know

Using Tissue and Soil Tests Together Helps Make Better Decisions. John Lee Soil Scientist AGVISE Northwood, ND

The following is a brief description of the symptoms of some of the most common nutrient deficiencies in soybeans. Nutrient deficiency symptoms

Murray State Theses and Dissertations

Potash Phosphate Nitrogen

Fertility Management for Corn on Corn Systems Kyle Freeman. The Mosaic Company

Effect of Plant Height on Fusarium Head Blight in Spring Wheat

Root Rot Complex in Western Canada where are we at with Fusarium, Aphanomyces, and Phytophthora

Tim Mundorf Fall 2016

Plant, Soil, and Nutrients

BOTANY AND PLANT GROWTH Lesson 9: PLANT NUTRITION. MACRONUTRIENTS Found in air and water carbon C oxygen hydrogen

The 1 th International and The 4 th National Congress on Recycling of Organic Waste in Agriculture April 2012 in Isfahan, Iran

Limitations to Plant Analysis. John Peters & Carrie Laboski Department of Soil Science University of Wisconsin-Madison

Induction of Beet-Cyst Nematode Suppressiveness by the Fungi Dactylella oviparasitica and Fusarium oxysporum in Field Microplots

Impact of High Glucosinolate Mustard Soil Amendments on Black Bean Yield 2014

Understanding a Soil Report

Rot. Sheath. Black. Lodging. Smut. False. Smut. Kernel. Stem Rot MS R MS S. Leaf S. Brown. Narrow. Blight. Panicle. Bacter. head. Straigh.

Nitrogen additives: What is what, and do they work?

Soybean Soil Fertility

SOYBEAN CYST NEMATODE MANAGEMENT ADVANCED CROP ADVISORS

Objectives: 1. Determine the effect of nitrogen and potassium applications on sugar beet root yield and quality.

Transcription:

SOIL PH IN RELATION TO BROWN STEM ROT AND SOYBEAN CYST NEMATODE N.C. Kurtzweil 1, C.R. Grau 2, A.E. MacGuidwin 3, J.M. Gaska 4, and A.W. Kazubowski 5 The soybean cyst nematode (SCN; Heterodera glycines) and brown stem rot (BSR) fungus (Phialophora gregata) are serious pests of soybean, occurring over a range of soil types and soil ph. Often found in the same field, management strategies implemented to control one pathogen may in fact exacerbate damage caused by the other. As soybean acreage has increased, the duration between soybean crops has decreased in crop rotation schemes, thus also increasing the frequency of detecting dually infected fields. Control of each pathogen is directed at variety selection and crop rotation, and is refined further by matching variety selection with choice of herbicides and tillage practices. Diagnosis and Impact of SCN and BSR Soil sampling and inspection of soybean roots in midsummer are methods to detect the presence of SCN in a field. Factors indicative of a SCN infestation include a gradual erosion of yield over years and late outbreaks of weeds in areas of fields with stunted plants and sparse crop canopies. Yield loss due to SCN is related directly to the ability of SCN to reproduce on roots. However, the agronomic effect of SCN is greatest if low soil moisture and possibly other pathogens inflict a stress on soybean plants. SCN is found in fields regardless of soil type, but as soil sand content increases, the action threshold is lowered. Unless managed, yield loss occurs in varying degrees each year once the SCN population reaches a threshold density. Yield loss due to BSR, on the other hand, appears to vary more each year because of the apparent influence of weather, tillage practices, soil moisture and variety planted. Yield loss due to BSR is generally greatest when foliar symptoms are present. Foliar symptoms are more likely to develop when air and soil temperatures are normal to below normal during late pod development and soil type and moisture status are conducive for high yield potential. Research Project With funding from the Soybean Research and Development Council and the Wisconsin Soybean Marketing Board, a research project was implemented to study the relationship of soil factors to the biology and pathogenic activity of SCN and BSR. Soil ph was the focus of the study, but organic matter, phosphorus, potassium and cation exchange capacity also were studied because of their close association with soil ph. Soil ph has long been recognized as an important factor that regulates availability of nutrients to the soybean plant and ultimately affects soybean yield. However, the effect of soil ph on soybean pathogens is not well understood. One field site for this study has both SCN and BSR, as well 1 - Research Specialist, Department of Plant Pathology; 1630 Linden Drive, Madison, WI 53706; 2,3 - Professor, Department of Plant Pathology 4 -Program Manager, Department of Agronomy; 1575 Linden Drive, Madison, WI 53706; 5 - Research Specialist, Department of Plant Pathology, 1630 Linden Drive, Madison, WI 53706

as a large range in soil ph. An important element of the study was the use of soybean varieties that differed in reaction to BSR and SCN. A second field location was selected because of high BSR pressure and the absence of SCN at the Arlington Agricultural Research Station. Results of SCN-Soil ph Study Most data supports the conclusion that soybean yield increases as soil ph increases. Exceptions occur when soil ph exceeds 8.0 and iron chlorosis develops because of low availability of soil iron. However, in the presence of SCN, the positive effect of ph neutral (ph 7.0) soil on soybean yield was negated, with highest yield associated with soil ph levels of 6.0-6.5 in all years of the study. This result was explained by the discovery that SCN population density increased as soil ph increased, although the strength of this relationship varied by year (1997, r=0.84; 1998, r=0.76; 1999, r=0.31;, r=0.48; 2001, r=0.47). The relationship of SCN population density and soil ph was lowest in 1999 possibly due to lower SCN populations resulting from the use of SCN resistant varieties in 1997. Results from five years of field studies indicates that high population density of SCN at planting can be expected in areas of fields with soil ph levels of 7.0 to 8.0 compared to areas of soil ph 5.9 to 6.5. Soil ph over 7.0 was consistently associated with high initial SCN egg density (Table 1). The SCN is frequently found in an aggregated distribution of varying population density. Soil type, tillage patterns and movement of soil within fields are possible explanations of the usual mosaic pattern of the SCN in infested fields. The findings of this research suggest that soil ph is another factor that governs the distribution of SCN in fields. The findings also suggest that soil ph may govern the degree that SCN populations increase in a field after its introduction. Table 1. Relationship between soil ph and population density of the soybean cyst nematode at planting. Initial SCN Eggs/100 cc of Soil Soil ph Range Year 5.8-6.4 6.5-7.0 7.1-8.0 1997 1998 1999 2001 450 160 50 463 1973 2400 760 670 636 1203 4300 3200 1220 1994 5123 As expected, the yield difference between resistant and susceptible varieties increased as SCN population density increased. Furthermore the

relationship between soil ph and SCN activity was substantiated further by the findings that differences in yield between resistant and susceptible varieties varied as soil ph varied in the experimental site. The status of soil ph in a field may become important to a grower interested in managing SCN. For example, once SCN is discovered on a farm, growers must decide whether to use or not to modify current crop management practices of the field or farm. The use of SCN resistant varieties is considered a first option in management of SCN. These data suggest that soil ph can be used in conjunction with SCN population density and field distribution data to determine if SCN resistant varieties are needed. SCN resistant varieties are not an automatic solution to management of SCN. Some SCN resistant varieties are lacking the yield potential of elite SCN susceptible varieties. Thus, a significant yield penalty may be realized if an SCN resistant variety is planted in a field with SCN populations that are below damage thresholds. There is no question of the value of SCN resistant when SCN populations exceed damage thresholds. The yield of SCN resistant varieties exceeded the yield of susceptible ones on average 5-17 bushels per acre, and reaches as much as 30 bushels per acre in individual plots location in areas of the filed at soil ph 7.0-8.0 (Table 2). However, data from the current study supports a conclusion that the yield advantage of SCN resistant varieties over susceptible varieties may not be realized in fields with soil ph approaching 6.0. Table 2. Difference in yield between SCN resistant and susceptible varieties in soil with different soil ph. Yield difference - bu/a Soil ph range Year 5.8-6.4 6.5-7.0 7.1-8.0 1997 1998 1999 2001 4.3 0 0.7 0.5 5.6 14.3 1.7 10.1-3.5 6.9 16.8 4.5 12.7 4.3 8.7 Monitoring SCN reproduction is important to implementing a soybean management plan in the presence of SCN. Although final population densities varied by year, data supported a strong conclusion that SCN populations increased more in the areas of the field with the highest soil ph (Table 3). SCN populations at soil ph 7.1-8.0 averaged 3.8-fold higher compared to SCN population densities in soils with ph levels of 5.8-6.4 for the five-year study (Table 3). There is not strong evidence to explain why lower initial populations of SCN are observed in low ph soils compared to soils at ph 7.0-8.0. Current data suggest populations of SCN, in the absence of soybean, appeared to decline faster in low ph compared to high ph regions of the field plot (Table 4). SCN population density in the lowest ph portions of the field declined 79-fold from the final population in 1997 to the initial population detected in the spring of

1999. In contrast, SCN population density in the high ph portions of the field declined 8-10-fold during the same time period. Table 3. Relationship between soil ph and final population density of the soybean cyst nematode at harvest. Final SCN Eggs/100 cc of Soil Soil ph Range Year 5.8-6.4 6.5-7.0 7.1-8.0 1997 3950 6950 9750 1998 500 1500 2550 1999 2001 786 6390 6800 766 6200 7500 1574 9458 Table 4. Relationship among soil ph and initial and final SCN population densities in a soybean-corn rotation from 1997-1999. SCN Eggs/100cc of Soil Soil ph Range Variables 5.8-6.4 6.5-7.0 7.1-8.0 1997 Initial SCN 450 2400 4300 1997 Final SCN 3950 6950 9750 1999 Initial SCN 50 670 1220 1999 Final SCN 6800 7500 Corn was planted in plot in 1998. The value of SCN resistance to protect yield potential is important, but the ability to support less SCN reproduction may be of equal importance for the long term. In this current study, SCN resistant varieties were associated with lower SCN population densities at harvest, while SCN susceptible varieties were associated with higher SCN population densities, regardless of soil ph levels or initial SCN population densities. Although damage thresholds of SCN may vary with soil type and seasonal climatic conditions, harvest populations densities of 2,000 eggs per 100 cc of soil are yield limiting in many cases. In this current study, SCN associated with SCN resistant varieties were above eggs per 100 cc of soil only in plots with soil ph greater than 7.0. Data support a conclusion that SCN populations may be managed more effectively with variety selection at soil ph levels below 7.0 (Table 5). Soil ph may be used to predict future changes in SCN populations based on whether susceptible or resistant varieties are grown.

Table 5. Comparison of SCN resistant and SCN susceptible varieties for final SCN population densities at varying soil ph. Final SCN Eggs/100 cc of Soil Soil ph Range SCN 5.8-6.4 6.5-7.0 7.1-8.0 Year Reaction 1997 Resistant 883 825 2517 Susceptible 6867 15875 17150 1998 Resistant 100 275 1175 Susceptible 675 2800 3950 1999 Resistant 481 825 2813 Susceptible 3125 10283 12012 Resistant Susceptible 446 1126 527 1291 577 2473 2001 Resistant Susceptible 2422 11806 2108 6750 4694 14036 Results of Studies- Brown Stem Rot Results from several years of small plot and large-scale on-farm trials suggest that brown stem rot severity is greatest as soil ph approached 6.0. These frequent observations prompted studies at a non-scn site. Results from seven years of experiments indicate a yield difference between BSR resistant and BSR susceptible varieties decline as soil ph increases from 5.7-6.7 (Table 6.) A strong correlation between soil ph and symptom severity appears in BSR susceptible varieties, but not in BSR resistant varieties. At an SCN site, BSR severity was low in 1997 and 1998; however the BSR pathogen was detected in the roots and stems of the soybeans. Populations of the BSR pathogen decreased as soil ph increased for both years as well. In 1999 and, foliar symptoms of BSR were observed, and as soil ph increased, symptom severity decreased. The greatest levels of BSR foliar and stem symptoms were observed in 2001.

Table 6. Yield difference of BSR resistant and susceptible varieties across a range of soil ph in a silt loam for seven years at Arlington, Wisconsin. Year Soil ph Yield difference- bu/a 1992 6.0 19 1993 6.7 8 1994 5.7 16 1995 6.3 5 1996 6.5 1 1998 6.7 1 1999 6.7 5 Reaction of SCN Resistant Varieties to Brown Stem Rot Varieties used in these studies were not only selected for SCN resistance, but also on the source of SCN resistance. Most varieties have the PI 88788 source, but varieties derived from the Peking source also were planted. Substantial data is now available to support the conclusion that most SCN resistant varieties with the PI88788 source of resistance also express no symptoms or mild BSR symptoms in the field. In contrast, SCN resistant varieties derived from Peking are extremely susceptible to BSR. The use of SCN resistant varieties with the PI 88788 source will greatly lower the risk of BSR especially in fields with soil ph 7.0. Population of Brown Stem Rot Pathogen Detected in Roots and Stems While foliar and stem symptoms of BSR decreased at high soil ph, it was not known if the levels of the BSR pathogen in stems and roots also decreased. Using ground stem and root tissue dilution plated onto selective media, colony forming units (CFU) of the BSR pathogen was quantified in and 2001. CFU values are an estimate of pathogen activity in plant tissues. In, lowest levels of the BSR pathogen were found at the highest soil ph (Table 7). Table 7. Levels of the BSR pathogen at different soil ph levels,. CFU/per gram of tissue Soil ph Stem Root 6.1 457 700 6.2 335 9080 6.8 322 547 7.8 23 718 7.9 0 2 8.0 2 42

To further refine these findings, a study was initiated in 2001 to study all possible BSR resistant/scn resistant combinations over the range of soil ph. BSR foliar and stem symptom development was greatest at low ph, however the BSR pathogen was detected at all soil ph levels. As soil ph increased, levels of the BSR pathogen decreased in stem and root tissue. (Figure 1). For BSR resistant varieties, as soil ph increased, the number of BSR pathogen CFU decreased. This relationship was not observed in BSR susceptible varieties, where levels of the pathogen were elevated, regardless of soil ph. For SCN resistant varieties with the PI 88788 source of SCN resistance, significantly less cfu of the BSR pathogen were detected. The Peking source of SCN resistance supported the highest levels of BSR pathogen cfu in both root and stem tissues. (Table 8) 6 5 stem root 4 log cfu's/ g 3 2 1 0 5.9-6.4 6.5-7.0 7.1-8.2 Soil ph Figure 1. Levels of the BSR pathogen decrease as soil ph increases. A log change of 4.6 to 4.7 represents approximately 20,000 CFU increase. Table 8. Levels of BSR pathogen CFU based on disease reaction. CFU/ gram of tissue Stem Root BSR Resistant 77834 42953 BSR Susceptible 320313 245291 SCN Resistant 133071 68450 (PI 88788) SCN Resistant 591750 316625 (Peking) SCN Susceptible 150406 154452

Summary Yield loss caused by BSR is greatest if soil ph is low and SCN causes greater yield loss if soil ph is high. Management of soybean diseases not only encompasses pathogen detection, resistant varieties and crop rotation, but also knowledge of the soil ph of a particular field. Results from current studies indicate that soil ph may be used to predict the presence of SCN and BSR, as well as changes in pathogen population and assess the risk of yield loss caused by each pathogen. BSR severity increases as soil ph decreases, while SCN population density increases as soil ph increases. Once a field is characterized for soil ph, the appropriate rotation sequence and soybean variety selection may be used to formulate a comprehensive soybean plant health management program. Growers also have the option to decide whether it is cost effective to modify soil ph to manage specific soybean diseases. References Adee, E.A., C.R. Grau, and E.S. Oplinger. 1995. Inoculum density of Phialophora gregata related to severity of brown stem rot and yield of soybean in microplot studies. Plant Disease. 79:68-73. Adee, E.A., E.S. Oplinger, and C.R. Grau. 1994. Tillage, rotation sequence, and cultivar influences on brown stem rot and soybean yield. Journal of Production Agriculture 7:341-347. Allington, W.B. and D.W. Chamberlain. 1948. Brown stem rot of soybean. Phytopathology 38:793-802. Anand, S.C., Matson K.W. and Sharma S.B. 1995. Effect of soil temperature and ph on resistance of soybean to Heterodera glycines. Journal of Nematology 27: 478-482. Browde, J.A., Pedigo, L.P., Owen, M.D.K. and Tylka, G.L. 1994. Soybean yield and pest management as influenced by nematodes, herbicides and defoliating insects. Agronomy Journal 86: 968-974. Burns, N.C. 1971. Soil ph effects on nematode populations associated with soybean. Journal of Nematology 3:238-245. Francl, L.J. 1993. Multivariate analysis of selected edaphic factors and their relationship to Heterodera glycines population density. Journal of Nematology 25:270-276.

Kurtzweil, N.C., C.R. Grau, A.E. MacGuidwin and E.S. Oplinger. 1999. Relationship of soil ph and population density of the soybean cyst nematode. Phytopathology 89 (supplement): S106. MacGuidwin, A.E. Grau C.R., and Oplinger E.S. 1995. Impact of planting `Bell, a soybean cultivar resistant to Heterodera glycines in Wisconsin. Journal of Nematology 27: 78-85. MacGuidwin, A.E., C. R. Grau, E. S. Oplinger. 1999. The incidence and impact of SCN in Wisconsnin. Proceedings of the 1999 Wisconsin Fertilizer, Aglime, and Pest Management Conference. Vol 38:31-33. Grau, C. R., E. S. Oplinger, and T. S. Maloney. 1999. On-farm validation studies of soybean diseases. Proceedings of the 1999 Wisconsin Fertilizer, Aglime, and Pest Management Conference. Vol 38:46-53. Mengistu, A., H. Tachibana, and C.R. Grau. 1991. Selective medium for isolation and enumeration of Phialophora gregata from soybean straw and soil. Plant Disease 75:196-199. Mengistu, A., and C.R. Grau. 1987. Seasonal progression of brown stem rot and its impact on soybean productivity. Phytopathology 77:1521-1529. Norton, D.C. Frederick L.R., and Ponchilla P.E. and Nyhan J.W. 1971. Correlation of nematodes and soil properties in soybean fields. Journal of Nematology 3: 154-163. Urs, N.V. Rama Raje and J.M. Dunleavy. 1970. Growth and synnemata development of Cephalosporium gregatum at various ph levels. Iowa State Journal of Science 45: 211-215. Wong, A.T., Tylka, G.L., and Hartzler, R.G. 1993. Effects of eight herbicides on in vitro hatching of Heterodera glycines. Journal of Nematology 25: 578-584. Workneh, F., G.L. Tylka, X.B. Yang, J. Faghihi, and J.M. Ferris. 1994. Regional assessment of soybean brown stem rot, Phytophthora sojae, and Heterodera glycines using area frame sampling: prevalence and effects of tillage. Phytopathology 89:204-211..