title: Evaluation of different empirical models of crop/weed competition to estimate yield and LAI losses from common lambsquarters (Chenopodium album L.) in maize (Zea mays L.).
abstract: Usefulness and validity of different empirical yield loss models at describing the effect of common lambsquarters competition in maize were evaluated in a two year experiment in Karaj during 2001 and 2002 growing seasons. Experimental factors were density (1st year: 2, 5, 10 and 15 plants m(-2); 2nd year: 6.6, 13.3 and 20 plants m(-2)) and the relative emergence time (1st year: simultaneous to, at 2-3 and 4-5 leaf stages of maize; 2nd year: simultaneous to, at 2-3 and 5-6 leaf stages of maize) of common lambsquarters. Results indicated that the highest maize yield and LAI losses were observed at simultaneous emergence of weed and maize resulted in 85 and 92% yield loss and 73 and 53% LAI loss in the first and second years of experiments, respectively. Also, delaying common lambsquarters emergence reduced its competitive ability against maize. Comparison of different empirical models revealed that the empirical yield loss models based on density and the relative time of weed emergence and the weed relative leaf area, also the rectangular hyperbolic yield loss model based on weed density were more reliable at predicting maize yield and LAI losses according to their high coefficient of determination (R2). Also, results indicated that the negative effect of the relative time of common lambsquarters emergence on maize yield loss was more than weed density, so that the rectangular hyperbolic yield loss model based on weed density was more capable at predicting yield loss at each of weed emergence time.
authors.affiliation: Department of Weed Research, Plant Protection Research Institute, P.O. Box 19395-1454, Tehran, Iran.
authors.forename: Mohammad Ali
authors.initials: MA
authors.lastname: Baghestani
authors.forename: Eskandar
authors.initials: E
authors.lastname: Zand
authors.forename: Saeid
authors.initials: S
authors.lastname: Soufizadeh
authors.forename: Mehdi Agha
authors.initials: MA
authors.lastname: Beygi
mesh_terms: D000383:Agriculture / Q000379:methods; D027462:Chenopodium / Q000378:metabolism*; D018556:Crops, Agricultural; D004463:Ecology; D015233:Models, Statistical; D008962:Models, Theoretical; D018515:Plant Leaves / Q000378:metabolism; D015203:Reproducibility of Results; D013696:Temperature; D003313:Zea mays / Q000254:growth & development* / Q000378:metabolism*