Prediction of the competitive effects of weeds on crop yield based on the relative leaf area of weeds (Articolo in rivista)

Type
Label
  • Prediction of the competitive effects of weeds on crop yield based on the relative leaf area of weeds (Articolo in rivista) (literal)
Anno
  • 1996-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1111/j.1365-3180.1996.tb01805.x (literal)
Alternative label
  • Lotz L.A.P., Christensen S., Cloutier D., Fernandez Quintanilla C., Légère A., Lemieux C., Lutman P.J.W., Pardo Iglesias A., Salonen J., Sattin M., Stigliani L., Tei F. (1996)
    Prediction of the competitive effects of weeds on crop yield based on the relative leaf area of weeds
    in Weed research (Online)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Lotz L.A.P., Christensen S., Cloutier D., Fernandez Quintanilla C., Légère A., Lemieux C., Lutman P.J.W., Pardo Iglesias A., Salonen J., Sattin M., Stigliani L., Tei F. (literal)
Pagina inizio
  • 93 (literal)
Pagina fine
  • 101 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 36 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 9 (literal)
Note
  • Scopus (literal)
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • DLO-Research Institute for Agrobiology and Soil Fertility. P. O. Box 14, 6700 AA Wageningen, the Netherlands Department for Weed Control and Pesticide Science, Flakkchjerg, 4200 Flakkebjerg Slagelse, Denmark Agriculture Canada, B.P. 1070 Assomption, Quebec, Canada J0K 1G0 Centro de Ciencias Medioambientales, CSCI, Serrano 115, 28006 Madrid, Spain Macdonald College, McGill University, 21 1111 Lakeshore Road, Sainte-Anne-de. Bellevue, Quebec, Canada, H9X 3V9 Agriculture Canada, Research Station 2560 Hochelaga Boulevard, Sainte-Foy, Quebec, Canada, GIV 2J3 Rothatmsted Experimental Station, Harpenden, Herts AL5 2JQ, UK Centro de Investigationes Agrarias, Apariado 1056, 26080 Logroño, Spain Agricultural Research Centre, Institute of Plant Protection, FIN-31600 Jokioinen, Finland CNR, Centro Studio Biologia e Contrallo Infestanti, Via Gradenigo 6, 35131 Padova, Italy Metapontum Agrobios, SS Jonica 106 (km 448, 2). 75010 Metaponto (MT), Italy, and Istituto di Agronomia Generale e Coltivazioni Erbacee, Borgo XX Giugno 74, 06121 Perugia, Italy (literal)
Titolo
  • Prediction of the competitive effects of weeds on crop yield based on the relative leaf area of weeds (literal)
Abstract
  • For implementation of simple yield loss models into threshold-based weed management systems, a thorough validation is needed over a great diversity of sites. Yield losses by competition wsth Sinapis alba L. (white mustard) as a model weed, were studied in 12 experiments in sugar beet (Beta vulgaris L.) and in 11 experiments in spring wheat (Triticum aestivum L.). Most data sets were heller described by a model based on the relative leaf area of the weed than by a hyperbolic model based on weed density. This leaf area model accounted for (part of) the effect of different emerging times of the S. alba whereas the density model did not. A parameter that allows the maximum yield loss to be smaller than 100% was mostly not needed to describe the effects of weed competition. The parameter that denotes the competitiveness of the weed species with respect to the crop decreased the later the relative leaf area of the mustard was determined. This decrease could be estimated from the differences in relative growth rate of the leaf area of crop and S. alba. However, the accuracy of this estimation was poor. The parameter value of the leaf area model varied considerably between sites and years. The results strongly suggest that the predictive ability of the leaf area model needs to be improved before it can be applied in weed management systems. Such improvement would require additional information about effects of abiotic factors on plant development and morphology and the definition of a time window for predictions with an acceptable level of error. (literal)
Prodotto di
Autore CNR

Incoming links:


Prodotto
Autore CNR di
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
data.CNR.it