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Number of Solaria Needed to Predict Weed Seedlings in Two Summer Crops

Published online by Cambridge University Press:  20 January 2017

Juan J. Eyherabide ,
María G. Cendoya ,
Frank Forcella  and
Marisol Irazazábal
Juan J. Eyherabide*
Affiliation:
Department of Crop Production, Soils and Agricultural Engineering, College of Agricultural Sciences, National University of Mar del Plata, Ruta 226 km 73,5, Balcarce, 7620 Buenos Aires, Argentina
María G. Cendoya
Affiliation:
Department of Crop Production, Soils and Agricultural Engineering, College of Agricultural Sciences, National University of Mar del Plata, Ruta 226 km 73,5, Balcarce, 7620 Buenos Aires, Argentina
Frank Forcella
Affiliation:
U.S. Department of Agriculture–Agricultural Research Service, 803 Iowa Ave, Morris, MN 56267
Marisol Irazazábal
Affiliation:
San Isidro 1105, Temperley, Buenos Aires, Argentina
*
Corresponding author's E-mail: [email protected]
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Abstract

The utility of solaria (1 by 1-m plastic sheets) to predict densities of a few weed species in summer crops has been demonstrated previously, but needed further research to be adopted by farmers and advisors. We tested the method to detect important weeds in Argentina and Minnesota, and determined the minimum number of solaria required to predict the presence of emerged weed seedlings in the forthcoming growing season. Three experiments were performed in Buenos Aires Province, Argentina, and one in Minnesota. Solaria were placed in fields with different previous crops and soil management: no tillage (two fields) and conventional tillage (two fields). Preceding crops were corn (one field), wheat (one field), and double-cropped wheat/soybean (two fields). After weeds were enumerated, solaria were removed, sunflower (one field) and soybean (three fields) were planted, and weeds later assessed in each crop. Results indicate that one solarium per 1.9 ha can detect common lambsquarters with 95% confidence within the next summer crop. For other species, one solarium per 4.2, 1.2, 1.0, and 1.8 to 2.7 ha (depending upon field site) for large crabgrass, prostrate knotweed, wild buckwheat, and green foxtail, respectively, was required. The low cost and simplicity of assessment make this technique more suitable than that of soil seed-bank samples to predict weed emergence. The number of solaria required to forecast weed infestation levels confidently is sufficiently low that their use may be justified, especially in small fields of high-value crops.

La utilidad del uso de las solaria (láminas de plástico de 1 por 1m), para predecir las densidades de algunas especies de maleza en cultivos de verano ha sido demostrada previamente, pero se requiere más investigación para que esta práctica sea adoptada por los agricultores y sus asesores. Evaluamos el método para detectar malezas importantes en Argentina y Minnesota EE UU y determinamos el número mínimo de solaria requerido para predecir la presencia de plántulas emergidas de malezas en la temporada productiva siguiente. Se llevaron a cabo tres experimentos en la Provincia de Buenos Aires, Argentina y uno en Minnesota. Las solaria fueron colocadas en lotes que difirieron en sus cultivos y sistemas de manejo de suelo previos, a saber: cero labranza en dos lotes y labranza convencional en otros dos. Los cultivos precedentes fueron: maíz (un lote), trigo (un lote), y doble-cultivo trigo/soja (dos lotes). Después que las malezas fueron enumeradas y las solaria fueron removidas, se sembró girasol (un lote) y soja (tres lotes) y posteriormente las malezas fueron valoradas en cada cultivo. Los resultados indican que un solarium por cada 1.9 ha, puede detectar Chenopodium album con 95% de confiabilidad en el cultivo del verano siguiente. Para otras especies se requirió un solarium por cada 4.2, 1.2, 1.0, y 1.8 a 2.7 ha (dependiendo de lote), para Digitaria sanguinalis, Polygonum aviculare, Polygonum convolvulus y Setaria viridis respectivamente. El bajo costo y la facilidad de la evaluación hacen que esta técnica sea más adecuada que la toma de muestras del banco de semillas para predecir la emergencia de malezas. El número de solaria requeridas para obtener pronósticos confiables sobre los niveles de infestación de malezas es suficientemente bajo para que su uso sea justificado, especialmente en lotes pequeños de cultivos de alto valor.

Keywords

Common lambsquarters, Chenopodium album L. CHEALgreen foxtail, Setaria viridis (L.) Beauv. SETVIlarge crabgrass, Digitaria sanguinalis (L.) Scop. DIGSAprostrate knotweed, Polygonum aviculare L. POLAVwild buckwheat, Polygonum convolvulus L. POLCOcorn, Zea mays L.soybean, Glycine max (L.) Merrsunflower, Helianthus annus L.wheat, Triticum aestivum L.Bioeconomic modelssite-specific weed managementweed controlweed seedling predictionweed thresholds
Type
Weed Management—Techniques
Information
Weed Technology , Volume 25 , Issue 1 , March 2011 , pp. 113 - 118
Copyright
Copyright © Weed Science Society of America 

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