Modeling of Glyphosate Application Timing in Glyphosate-Resistant Soybean (Articolo in rivista)

Type
Label
  • Modeling of Glyphosate Application Timing in Glyphosate-Resistant Soybean (Articolo in rivista) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1614/WS-D-10-00133.1 (literal)
Alternative label
  • Ivan Sartorato Antonio Berti Giuseppe Zanin Claudio M. Dunan* (2011)
    Modeling of Glyphosate Application Timing in Glyphosate-Resistant Soybean
    in Weed science; Weed Science Society of America, Lawrence (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ivan Sartorato Antonio Berti Giuseppe Zanin Claudio M. Dunan* (literal)
Pagina inizio
  • 390 (literal)
Pagina fine
  • 397 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 59 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Sartorato I., Istituto di Biologia Agroambientale e Forestale del CNR, Legnaro, viale dell'Universita` 16, 35020 Legnaro, Italy, Corresponding author's E-mail: ivan.sartorato@ibaf. Berti A., Zanin G., Professors, Dipartimento di Agronomia Ambientale e Produzioni Vegetali, Universita` di Padova, viale dell'Universita` 16, 35020 Legnaro, Italy; Dunan C., General Manager, Sintesis Quimica, Av. Scalabrini Ortiz 3333 Buenos Aires, Argentina. (literal)
Titolo
  • Modeling of Glyphosate Application Timing in Glyphosate-Resistant Soybean (literal)
Abstract
  • The introduction of herbicide-resistant crops and postemergence herbicides with a wide action spectrum shifted the research focus from how to when crops should be treated. To maximize net return of herbicide applications, the evolution of weed-crop competition over time must be considered and its effects quantified. A model for predicting the yield trend in relation to weed removal time, considering emergence dynamics and density, was tested on data from glyphosateresistant soybean grown in cropping systems in Italy and Argentina. Despite an ample variation of weed emergence dynamics and weed load in the four trials, the model satisfactorily predicted yield loss evolution. The estimated optimum time for weed control (OTWC) varied from about 18 d after soybean emergence in Argentina to 20 to 23 d in Italy, with time windows for spraying ranging from 14 to 28 d. Within these limits a single glyphosate application ensures good weed control at low cost and avoids side effects like the more probable unfavorable weed flora evolution with double applications and the presence of residues in grains. Despite the apparent simplicity of weed control based on nonselective herbicides, the study outlines that many variables have to be considered to optimize weed management, particularly for the time evolution of the infestation and, subsequently, a proper timing of herbicide application. (literal)
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