Relationship between late soybean diseases complex and rain in determining grain yield responses to fungicide applications
Wide distribution of soybean monoculture associated with no tillage has contributed to enhance damages caused by late diseases complex [LDC] in Argentina. LDC is a complex of diseases where Septoria glycines and Cercospora kikuchii are regarded as the major problem. Even though the use of foliar fun...
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| Formato: | Artículo |
| Lenguaje: | Español |
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| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2011Carmona2.pdf LINK AL EDITOR |
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| 245 | 1 | 0 | |a Relationship between late soybean diseases complex and rain in determining grain yield responses to fungicide applications |
| 520 | |a Wide distribution of soybean monoculture associated with no tillage has contributed to enhance damages caused by late diseases complex [LDC] in Argentina. LDC is a complex of diseases where Septoria glycines and Cercospora kikuchii are regarded as the major problem. Even though the use of foliar fungicides has increased, there is no rational and economic guide for their use. This is the main reason why the response to foliar fungicide applications is unpredictable. One of the main factors that contribute to the development of LDC is rainfall. The objective of this study was to evaluate the impact of rainfall during several growing seasons and different soybean growth stages on LDC severity and yield. We carried out 18 field experiments during three growing seasons [2004-2006] at several locations in the Argentine Pampas Region, to examine the relationship between rain and yield response to single fungicide applications [quinone outside inhibitors and demethylation inhibitors] at growing stages R3 and R5. The strongest associations [R 2=0.81-0.84; P less than 0.001] were observed between accumulated rainfall from R3 to R5 and yield response to fungicides applied in R3 or R5. Our results suggest that a minimum of 65-90mm rainfall during R3-R5 is required to justify fungicide application, with high probability that the use of fungicide will increase soybean yield as a consequence of disease control. These findings could lead to a simple model, useful as decision support system for use in planning and scheduling spray applications for LDC management in soybean crops. | ||
| 653 | 0 | |a FUNGICIDE APPLICATION TIMING | |
| 653 | 0 | |a LATE SEASON DISEASES | |
| 653 | 0 | |a RAINFALL | |
| 653 | 0 | |a CROP YIELD | |
| 653 | 0 | |a DAMAGE | |
| 653 | 0 | |a DECISION SUPPORT SYSTEM | |
| 653 | 0 | |a DISEASE CONTROL | |
| 653 | 0 | |a FUNGAL DISEASE | |
| 653 | 0 | |a FUNGICIDE | |
| 653 | 0 | |a FUNGUS | |
| 653 | 0 | |a GRASSLAND | |
| 653 | 0 | |a GROWING SEASON | |
| 653 | 0 | |a INHIBITOR | |
| 653 | 0 | |a MONOCULTURE | |
| 653 | 0 | |a PATHOGEN | |
| 653 | 0 | |a PROBABILITY | |
| 653 | 0 | |a SOYBEAN | |
| 653 | 0 | |a SPATIAL DISTRIBUTION | |
| 653 | 0 | |a TILLAGE | |
| 653 | 0 | |a YIELD RESPONSE | |
| 653 | 0 | |a ARGENTINA | |
| 653 | 0 | |a CERCOSPORA KIKUCHII | |
| 653 | 0 | |a GLYCINE MAX | |
| 653 | 0 | |a SEPTORIA GLYCINES | |
| 700 | 1 | |9 3109 |a Carmona, Marcelo Aníbal | |
| 700 | 1 | |9 22833 |a Sautua, Francisco José | |
| 700 | 1 | |9 68647 |a Perelman, Susana Beatríz | |
| 700 | 1 | |a Reis, Erlei Melo |9 7504 | |
| 700 | 1 | |a Gally, Marcela Edith |9 15444 | |
| 773 | |t Journal of Phytopathology |g Vol.159, no.10 (2011), p.687-693 | ||
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| 900 | |a ^tRelationship between late soybean diseases complex and rain in determining grain yield responses to fungicide applications | ||
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| 900 | |a ^aCarmona^bM.^tDepartment of Plant Pathology, Faculty of Agronomy, University of Buenos Aires, Av. San MartÃn 4453, Capital Federal 1417, Buenos Aires, Argentina | ||
| 900 | |a ^aSautua^bF.^tDepartment of Quantitative Methods and Information Systems, IFEVA/Faculty of Agronomy, University of Buenos Aires/CONICET, Argentina | ||
| 900 | |a ^aPerelman^bS.^tFaculdade de Agronomia e Medicina Veterinaria, Universidade de Passo Fundo, Passo Fundo, RS, Brazil | ||
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| 900 | |a FUNGICIDE APPLICATION TIMING | ||
| 900 | |a LATE SEASON DISEASES | ||
| 900 | |a RAINFALL | ||
| 900 | |a CROP YIELD | ||
| 900 | |a DAMAGE | ||
| 900 | |a DECISION SUPPORT SYSTEM | ||
| 900 | |a DISEASE CONTROL | ||
| 900 | |a FUNGAL DISEASE | ||
| 900 | |a FUNGICIDE | ||
| 900 | |a FUNGUS | ||
| 900 | |a GRASSLAND | ||
| 900 | |a GROWING SEASON | ||
| 900 | |a INHIBITOR | ||
| 900 | |a MONOCULTURE | ||
| 900 | |a PATHOGEN | ||
| 900 | |a PROBABILITY | ||
| 900 | |a SOYBEAN | ||
| 900 | |a SPATIAL DISTRIBUTION | ||
| 900 | |a TILLAGE | ||
| 900 | |a YIELD RESPONSE | ||
| 900 | |a ARGENTINA | ||
| 900 | |a CERCOSPORA KIKUCHII | ||
| 900 | |a GLYCINE MAX | ||
| 900 | |a SEPTORIA GLYCINES | ||
| 900 | |a Wide distribution of soybean monoculture associated with no tillage has contributed to enhance damages caused by late diseases complex [LDC] in Argentina. LDC is a complex of diseases where Septoria glycines and Cercospora kikuchii are regarded as the major problem. Even though the use of foliar fungicides has increased, there is no rational and economic guide for their use. This is the main reason why the response to foliar fungicide applications is unpredictable. One of the main factors that contribute to the development of LDC is rainfall. The objective of this study was to evaluate the impact of rainfall during several growing seasons and different soybean growth stages on LDC severity and yield. We carried out 18 field experiments during three growing seasons [2004-2006] at several locations in the Argentine Pampas Region, to examine the relationship between rain and yield response to single fungicide applications [quinone outside inhibitors and demethylation inhibitors] at growing stages R3 and R5. The strongest associations [R 2=0.81-0.84; P less than 0.001] were observed between accumulated rainfall from R3 to R5 and yield response to fungicides applied in R3 or R5. Our results suggest that a minimum of 65-90mm rainfall during R3-R5 is required to justify fungicide application, with high probability that the use of fungicide will increase soybean yield as a consequence of disease control. These findings could lead to a simple model, useful as decision support system for use in planning and scheduling spray applications for LDC management in soybean crops. | ||
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