Literature DB >> 27759217

Prospects for Weed Control Through Crop Interference.

Nicholas Jordan.   

Abstract

Crop interference with weed growth is a fundamental method of nonchemical weed control. Crop interference, entailing weed suppression, should be distinguished from crop tolerance of weeds, i.e., relatively small yield loss due to the presence of weeds. Tolerance is less desirable than interference in that it may lead to increases in weed seed populations that can cause future yield losses. Ideally, interference should occur as early as possible in growth to prevent resource consumption by weeds. A path analysis of crop-weed interference is presented. The model can be used to estimate the relative magnitude of early vs. later crop interference with weed growth, and to identify crop traits that contribute to the interference with weed growth. Such analysis can identify crop varieties that show strong early interference with weed growth, and traits associated with strong early interference. For illustrative purposes, the model is applied to characterize differences among soybean varieties in interference with common cocklebur. Weed control by crop interference could be enhanced by crop breeding and management. However, several benefits and costs of interference should be evaluated before undertaking such approaches. First, the degree to which crop interference can substitute for other forms of weed control must be determined. Second, yield costs associated with interference should be measured; these may occur in crop varieties that interfere strongly with weeds, particularly when water, temperature, and mineral nutrients are limiting. A more mechanistic understanding of crop interference is needed so that interference can be enhanced through crop breeding and management while minimizing yield costs. © 1993 by the Ecological Society of America.

Entities:  

Year:  1993        PMID: 27759217     DOI: 10.2307/1941794

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  7 in total

Review 1.  Breeding cereal crops for enhanced weed suppression: optimizing allelopathy and competitive ability.

Authors:  Margaret Worthington; Chris Reberg-Horton
Journal:  J Chem Ecol       Date:  2013-02-06       Impact factor: 2.626

Review 2.  Weed competitive ability in wheat: a peek through in its functional significance, present status and future prospects.

Authors:  Parampreet Kaur; Shephali Sachan; Achla Sharma
Journal:  Physiol Mol Biol Plants       Date:  2021-10-04

Review 3.  A review of the potential for competitive cereal cultivars as a tool in integrated weed management.

Authors:  I K S Andrew; J Storkey; D L Sparkes
Journal:  Weed Res       Date:  2015-01-26       Impact factor: 2.424

4.  Differences for traits associated with early N acquisition in a grain legume and early complementarity in grain legume-triticale mixtures.

Authors:  Nicolas Carton; Christophe Naudin; Guillaume Piva; Rim Baccar; Guénaëlle Corre-Hellou
Journal:  AoB Plants       Date:  2018-01-04       Impact factor: 3.276

5.  Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.

Authors:  Muralidhara Bharamappanavara; Anantha M Siddaiah; Senguttuvel Ponnuvel; Lokesha Ramappa; Basavaraj Patil; Manoj Appaiah; Sheshu Madhav Maganti; Raman Meenakshi Sundaram; Shashidhar Kadadanamari Shankarappa; Mangal Deep Tuti; Sreedevi Banugu; Brajendra Parmar; Santosha Rathod; Kalyani M Barbadikar; Suneetha Kota; Lella Venkata Subbarao; Tapan Kumar Mondal; Gireesh Channappa
Journal:  Sci Rep       Date:  2020-12-16       Impact factor: 4.379

6.  Stabilization of yield in plant genotype mixtures through compensation rather than complementation.

Authors:  Henry E Creissen; Tove H Jorgensen; James K M Brown
Journal:  Ann Bot       Date:  2013-09-18       Impact factor: 4.357

7.  Measuring the effectiveness of management interventions at regional scales by integrating ecological monitoring and modelling.

Authors:  Robert P Freckleton; Helen L Hicks; David Comont; Laura Crook; Richard Hull; Paul Neve; Dylan Z Childs
Journal:  Pest Manag Sci       Date:  2017-11-23       Impact factor: 4.845

  7 in total

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