Mapping soybean sudden death syndrome as related to yield and soil/site properties

Chong, S. K.; Hildebrand, K.K.; Luo, Yongqing; Myers, O.; Indorante, S. J.; Kazakevicius, A.; Russin, J. S.

doi:10.1016/j.still.2004.09.001

Cited by 20 publications

(7 citation statements)

References 17 publications

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“…As a measure of soil acidity or alkalinity, soil pH constitutes one of the most important chemical soil parameters [ 1 ]. Generally, soil pH values outside the range of 5.5 to 6.5 are considered as nonoptimum because they can have negative impacts on nutrient availability [ 2 , 3 ], soil structure [ 4 ], soil organisms [ 5 ], and can make plants more sensitive to diseases [ 6 ]. Due to uptake by plants and natural leaching of alkaline soil compounds, acidification is common among soils in temperate climates.…”

Section: Introductionmentioning

confidence: 99%

Soil pH Mapping with an On-The-Go Sensor

Schirrmann

Gebbers

Krämer

et al. 2011

Sensors

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Soil pH is a key parameter for crop productivity, therefore, its spatial variation should be adequately addressed to improve precision management decisions. Recently, the Veris pH Manager™, a sensor for high-resolution mapping of soil pH at the field scale, has been made commercially available in the US. While driving over the field, soil pH is measured on-the-go directly within the soil by ion selective antimony electrodes. The aim of this study was to evaluate the Veris pH Manager™ under farming conditions in Germany. Sensor readings were compared with data obtained by standard protocols of soil pH assessment. Experiments took place under different scenarios: (a) controlled tests in the lab, (b) semicontrolled test on transects in a stop-and-go mode, and (c) tests under practical conditions in the field with the sensor working in its typical on-the-go mode. Accuracy issues, problems, options, and potential benefits of the Veris pH Manager™ were addressed. The tests demonstrated a high degree of linearity between standard laboratory values and sensor readings. Under practical conditions in the field (scenario c), the measure of fit (r2) for the regression between the on-the-go measurements and the reference data was 0.71, 0.63, and 0.84, respectively. Field-specific calibration was necessary to reduce systematic errors. Accuracy of the on-the-go maps was considerably higher compared with the pH maps obtained by following the standard protocols, and the error in calculating lime requirements was reduced by about one half. However, the system showed some weaknesses due to blockage by residual straw and weed roots. If these problems were solved, the on-the-go sensor investigated here could be an efficient alternative to standard sampling protocols as a basis for liming in Germany.

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Section: Introductionmentioning

confidence: 99%

Soil pH Mapping with an On-The-Go Sensor

Schirrmann

Gebbers

Krämer

et al. 2011

Sensors

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“…Finally, higher BD values seemed to contribute to the increase of SDS. Chong et al (2005) also mentioned that soil with higher macroporosity resulted in low water retention capacity and maintained a higher aeration condition, which could provide better rhizosphere for plant growth. Soybean yield was 74% higher in the soybean/maize rotation, compared with monocropping.…”

Section: Disease Incidence and Crop Yieldmentioning

confidence: 99%

The effect of crop sequences on soil microbial, chemical and physical indicators and its relationship with soybean sudden death syndrome (complex of Fusarium species)

Brandán

Arzeno

Huidobro

et al. 2013

Span. j. agric. res.

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The effect of crop sequences on soil quality indicators and its relationship with sudden death syndrome (SDS, a complex of Fusarium species) was evaluated by physical, chemical, biochemical and molecular techniques. Regarding physical aspects, soybean/maize and maize monoculture exhibited the highest stable aggregate level, with values 41% and 43% higher than in soybean monoculture, respectively, and 133% higher than in bean monoculture. Bulk density (BD) was higher in soybean monoculture, being 4% higher than in bean monoculture. The chemical parameters organic matter, total N, P, K, Mg, Ca, and water holding capacity also indicated that soybean/maize and maize monoculture improved soil quality. Fungal and bacterial community fingerprints generated using Terminal Restriction Fragment Length Polymorphism analysis of intergenic transcribed spacer regions of rRNA genes and 16S rRNA genes, respectively, indicated a clear separation between the rotations. Fatty acid profiles evaluated by FAME showed that bean monoculture had higher biomass of Gram (+) bacteria and stress indicators than maize monoculture, while the soybean/maize system showed a significant increase in total microbial biomass (total FAMEs content) in comparison with soybean and bean monoculture. The incidence of SDS (Fusarium crassistipitatum) was markedly higher (15%) under soybean monoculture than when soybean was grown in rotation with maize. In the present work, soil microbial properties were improved under soybean/maize relative to continuous soybean. The improvement of soil health was one of the main causes for the reduction of disease pressure and crop yield improvement due to the benefits that crop rotation produces for soil quality.

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“…TABLA 2 -Valores de incidencia y severidad foliar del síndrome de la muerte súbita y peso fresco de la parte aérea por planta, registrados en el cv. de soja NA4613RG registrados a los 30 días después de inoculados (suspensión conidial) (Estevez de Jensen et al, 2001;Ames et al, 2000;Sanogo et al, 2001;Shaner et al, 1998;Chong et al, 2005). Los resultados de este trabajo confirman que el SMS es una enfermedad que genera significativos daños y que F. virguliforme y F. tucumaniae son los agentes causales más frecuentes en la Región Pampeana.…”

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Aislamiento, identificación y daños asociados al síndrome de la muerte súbita en el cultivo de soja en Argentina

Scandiani¹,

Carmona²,

Luque³

et al. 2012

Trop. plant pathol.

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RESUMENLos objetivos de este trabajo fueron aislar e identificar los agentes causales del síndrome de la muerte súbita (SMS) en muestras provenientes de diferentes localidades de Argentina, y cuantificar la incidencia de la enfermedad y los daños causados a campo en el rendimiento. Se analizaron 215 raíces provenientes de plantas con síntoma foliares típicos de SMS para el aislamiento e identificación de los agentes causales. Para realizar las pruebas de patogenicidad se efectuaron dos bioensayos en invernáculo. Los daños fueron estimados en un ensayo a campo situado en Pergamino a través de la cuantificación del rendimiento de muestras apareadas. El 36% (78 raíces) de las raíces presentó signos de Fusarium, compatibles con los causantes de SMS. Los estudios morfológicos realizados permitieron identificar 35 aislamientos como F. tucumaniae y 18, como F. virguliforme. Otros ocho aislamientos no pudieron identificarse. Todos los aislamientos inoculados reprodujeron los síntomas foliares típicos de SMS. Se observaron diferencias entre el peso de mil granos de plantas sanas y de plantas enfermas y entre el rendimiento potencial y el real (p<0,05). Los daños promedio fueron de 1514 kg/ha (rango 192-3770 kg/ha). Los resultados obtenidos corroboraron la distribución y predominio de F. tucumaniae y F. viguliforme en el área estudiada y su potencial destructivo. Palabras clave: Glycine max, Fusarium tucumaniae, Fusarium virguliforme, SMS. ABSTRACT Isolation, identification and yield losses associated with sudden death syndrome in soybeans in ArgentinaThe main objectives of this work were to isolate and identify the causal agents of sudden death syndrome (SDS) from samples collected in different Argentinean localities, to quantify its incidence, and to estimate yield losses. Two hundred and fifteen roots from plants with typical SDS foliar symptoms were analyzed. In order to perform pathogenicity tests, two bioassays were conducted in the greenhouse. Yield losses were estimated in a field trial located in Pergamino by quantification and comparison of yield of paired samples. Thirty-six percent of total roots (78 roots) presented signs of Fusarium, compatible with signs caused by SDS. Morphological studies allowed the identification of 35 isolates as F. tucumaniae and 18 as F. virguliforme. Other eight isolates could not be identified. All isolates that were inoculated reproduced typical SDS foliar symptoms. Significant differences were observed between healthy and diseased plants for 1000-grain weight and between potential and real yield (p<0.05). Average yield loss was 1514 kg/ha (range 192-3770 kg/ha). These results corroborated the distribution and predominance of F. tucumaniae and F. viguliforme in the area under study and its destructive potential.

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Mapping soybean sudden death syndrome as related to yield and soil/site properties

Cited by 20 publications

References 17 publications

Soil pH Mapping with an On-The-Go Sensor

Soil pH Mapping with an On-The-Go Sensor

The effect of crop sequences on soil microbial, chemical and physical indicators and its relationship with soybean sudden death syndrome (complex of Fusarium species)

Aislamiento, identificación y daños asociados al síndrome de la muerte súbita en el cultivo de soja en Argentina

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