An on-farm approach to quantify yield variation and to derive decision rules for site-specific weed management

Ritter, Carina; Dicke, Dominik; Weis, Martin; Oebel, Horst; Piepho, Hans‐Peter; Büchse, A.; Gerhards, Roland

doi:10.1007/s11119-008-9061-5

Cited by 35 publications

(22 citation statements)

References 25 publications

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“…Therefore, even the highest thresholds (treatment 4) are acceptable for site-specific weed control in this case. A similar result was reported also by Ritter et al (2008) who partially explained this by the absence of a negative side effect of the herbicide on the crop. The statistical insignificance was caused by high total variance of the analysed data, suggesting that the grain yield could be affected by other factors.…”

Section: Resultssupporting

confidence: 87%

“…The statistical insignificance was caused by high total variance of the analysed data, suggesting that the grain yield could be affected by other factors. Ritter et al (2008) also mentioned that a high variance of the data can limit the statistical analyses of single effects but that the variance is crucial for the effective utilisation of precision farming techniques.…”

Section: Resultsmentioning

confidence: 99%

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Impact of site-specific weed management on herbicide savings and winter wheat yield

Hamouz¹,

Hamouzová²,

Holec³

et al. 2013

Plant Soil Environ.

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There is much documentation in the scientific literature (e.g. Clay et al. 1999, Hamouz et al. 2006, Gerhards et al. 2012) that weeds are distributed in a patchy manner throughout agricultural fields. An aggregated distribution pattern of weed populations provides opportunity to reduce the herbicide application if site-specific weed management is adopted. Gerhards et al. (2002) achieved herbicide savings of 60% and 92% for dicotyledonous and monocotyledonous weeds, respectively, in spring barley (Hordeum vulgare L.) cultivation, and savings of 11% and 81% were achieved for the same weed groups for maize (Zea mays L.). In two winter wheat fields, Häusler et al. (1998) found that herbicide applications were necessary for 24% and 35% of the area for Galium aparine L., for 25% and 31% for other dicotyledonous weeds and for 55% and 7.5% for grasses. Using a simulation, Christensen and Heisel (1998) estimated a 40% reduction of herbicide consumption, and Nordmeyer and Häusler (2000) calculated the need for herbicide application from 7% to 64% of the total area in various fields.Site-specific weed management is based on the threshold concept: the aim is to adjust the intensity of management practices to the actual degree of weed infestation, with only those areas having a weed density exceeding the predefined control threshold typically being treated. However, sitespecific weed management requires the precise setting of control thresholds for effectiveness and reliability. Furthermore, both areas that are treated superfluously and unsprayed areas that will show increases in weed infestation should be Impact of site-specific weed management on herbicide savings and winter wheat yield P. Hamouz, K. Hamouzová, J. Holec, L. Tyšer Department of Agroecology and Biometeorology, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic ABSTRACTAn aggregated distribution pattern of weed populations provides opportunity to reduce the herbicide application if site-specific weed management is adopted. This work is focused on the practical testing of site-specific weed management in a winter wheat and the optimisation of the control thresholds. Patch spraying was applied to an experimental field in Central Bohemia. Total numbers of 512 application cells were arranged into 16 blocks, which allowed the randomisation of four treatments in four replications. Treatment 1 represented blanket spraying and the other treatments differed by the herbicide application thresholds. The weed infestation was estimated immediately before the post-emergence herbicide application. Treatment maps for every weed group were created based on the weed abundance data and relevant treatment thresholds. The herbicides were applied using a sprayer equipped with boom section control. The herbicide savings were calculated for every treatment and the differences in the grain yield between the treatments were tested using the analysis of variance. The site-specific applications provided herbicide savings ...

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Section: Resultssupporting

confidence: 87%

Section: Resultsmentioning

confidence: 99%

Impact of site-specific weed management on herbicide savings and winter wheat yield

Hamouz¹,

Hamouzová²,

Holec³

et al. 2013

Plant Soil Environ.

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“…The yields of all treatments are compared in Figure 5 and the yield map of the entire experimental field is presented in Figure 3. Ritter et al (2008) reported a similar effect of SSWM on crop yield, as site-specific treatments caused no significant decrease of wheat yield compared to the whole-field herbicide application. Other studies (e.g.…”

Section: Methodsmentioning

confidence: 71%

“…Ritter et al 2008). The economic threshold does not, however, take into account weed reproduction and possible changes of weed species populations in subsequent years.…”

mentioning

confidence: 99%

Effect of site-specific weed management in winter crops on yield and weed populations

Hamouz¹,

Hamouzová²,

Tyšer³

et al. 2014

PLANT SOIL ENVIRON

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Site-specific weed management (SSWM) methods allow spatially variable treatment of weed populations according to actual weed abundance, thus offering the opportunity for herbicide savings. However, SSWM's effect on weed population dynamics is not sufficiently understood. In this study, SSWM was conducted based on various application thresholds to analyse the effects on crop yield and weed infestation in the succeeding crop. SSWM was used on a 3.07 ha experimental field in winter wheat (2011) and winter oilseed rape (2012). The whole area was split into application cells of 6 × 10 m and abundance of all weed species was evaluated manually in each cell. Four different herbicide treatments were tested. Standard whole-field herbicide application (blanket spraying) was treatment 1. Treatments 2, 3 and 4 comprised SSWM using different thresholds for post-emergent herbicide application. SSWM resulted in savings of post-emergent herbicides ranging from 71.9% to 100%, depending on the application threshold. Differences in winter rape yield among treatments were generally small and statistically insignificant (P = 0.989). Although some minor changes in weed abundances were observable, the experiment showed that none of the site-specific herbicide treatments caused a significant (α = 0.05) increase of weed species abundance compared to the standard treatment.

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“…Yield and NPP are often satellite driven, recorded and modelled (Smit et al, 2008;Prieto-Blanco et al, 2009;Kurtz et al, 2009). Also, permanent recording of spatial crop yield data as done in precision farming (Ritter et al, 2008;Schellberg et al, 2008;Lukas et al, 2009) may produce databases which have the potential to predict the productivity of land by statistical procedures of spatio-temporal auto-regressive forecasting, state-space approaches (Wendroth et al, 2003) or combinations of models and data (Reuter et al, 2005;Schellberg et al, 2008). The latter approaches developed for precision farming may provide excellent GIS-based modelling or even forecasting of land productivity in the field and at a regional scale but algorithms are rarely transferrable to other regions.…”

Section: Direct Recordings Of Biomass and Crop Yield Datamentioning

confidence: 99%

Assessing the productivity function of soils. A review

Mueller

Schindler

Mirschel

et al. 2010

Agron. Sustain. Dev.

191

117

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-The development and survival or disappearance of civilizations has been based on the performance of soils to provide food, fibre, and further essential goods for humans. Amongst soil functions, the capacity to produce plant biomass (productivity function) remains essential. This function is closely associated with the main global issues of the 21st century like food security, demands of energy and water, carbon balance and climate change. A standardised methodology for assessing the productivity function of the global soil resource consistently over different spatial scales will be demanded by a growing international community of land users and stakeholders for achieving high soil productivity in the context of sustainable multifunctional use of soils. We analysed available methods for assessing the soil productivity function. The aim was to find potentials, deficiencies and gaps in knowledge of current approaches towards a global reference framework. Our main findings were (i) that the soil moisture and thermal regime, which are climate-influenced, are the main constraints to the soil productivity potential on a global scale, and (ii) that most taxonomic soil classification systems including the World Reference Basis for Soil Resources provide little information on soil functionality in particular the productivity function. We found (iii) a multitude of approaches developed at the national and local scale in the last century for assessing mainly specific aspects of potential soil and land productivity. Their soil data inputs differ, evaluation ratings are not transferable and thus not applicable in international and global studies. At an international level or global scale, methods like agro-ecological zoning or ecosystem and crop modelling provide assessments of land productivity but contain little soil information. Those methods are not intended for field scale application to detect main soil constraints and thereby to derive soil management and conservation recommendations in situ. We found also, that (iv)

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An on-farm approach to quantify yield variation and to derive decision rules for site-specific weed management

Cited by 35 publications

References 25 publications

Impact of site-specific weed management on herbicide savings and winter wheat yield

Impact of site-specific weed management on herbicide savings and winter wheat yield

Effect of site-specific weed management in winter crops on yield and weed populations

Assessing the productivity function of soils. A review

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