Yield loss prediction models based on early estimation of weed pressure

Ali, Asif; Streibig, J. C.; Andreasen, Christian

doi:10.1016/j.cropro.2013.06.010

Cited by 34 publications

(19 citation statements)

References 66 publications

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“…The effect of weeds on yield loss was rather high. Comparison with ETs reported in literature is limited, as often weed density is used as predictor variable or nonlinear models with several parameters were employed (Ngouajio et al ., ; Lemieux et al ., ; Gerhards et al ., ; Ali et al ., ). For example, Gerhards et al .…”

Section: Discussionmentioning

confidence: 97%

“…In the aforementioned field trials, weed coverage has been generally used as an indicator of weed competition; crop coverage was estimated as well. Relative leaf area, which is similar at early stages to relative weed coverage [coverage(weed)/coverage(weed + crop plants)], is suitable to describe the weed–crop yield relationship (Ngouajio et al ., ; Simard et al ., ; Ali et al ., ). As the trials were carried out at many sites and over many years, they provide an excellent database to determine yield effects of weeds and ETs for maize under field conditions, using relative weed coverage as predictor.…”

Section: Introductionmentioning

confidence: 97%

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Long‐term changes in weed occurrence, yield and use of herbicides in maize in south‐western Germany, with implications for the determination of economic thresholds

et al. 2014

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Summary In 393 field experiments in Baden‐Württemberg region in south‐western Germany, herbicide efficacy, yield loss and crop tolerance of maize (Zea mays) were investigated between 1981 and 2011. The collected data served to determine changes in weed frequencies, in herbicide use, yield loss functions and economic thresholds (ETs). Over 60 weed species were reported. Chenopodium album and Galium aparine were the most frequent broad‐leaved weeds, the former becoming more frequent over time. Species of the genera Lamium, Polygonum, Veronica and Matricaria occurred in about every fifth trial. Alopecurus myosuroides and Echinochloa crus‐galli were the most frequent grass weeds; the former declining in frequency by 1.1% per year, the latter increasing by 1.5%. Results suggest a weed population shift towards thermophilic species. aceto‐lactate‐synthase and 4‐HPPD‐inhibitor herbicides became important in the 1990s. Pendimethalin and bromoxynil have been integral components of weed control since the 1980s. ETs, the point at which weed control operations provide economic returns over input costs, ranged between 3.7% and 5.8% relative weed coverage. Without weed control, no yield increase was found over 24 years. Yield increased by 0.2 t ha−1 year−1, if weeds were controlled chemically. Despite intensive use of effective herbicides in maize, problematic weed species abundance and yield losses due to weed competition have increased in Baden‐Württemberg over a period of 30 years.

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 97%

Long‐term changes in weed occurrence, yield and use of herbicides in maize in south‐western Germany, with implications for the determination of economic thresholds

et al. 2014

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“…During plant growth, weeds reduce crop yield through competition for moisture, nutrients, sunlight, and space, and negatively affect economic return for farmers. Crop yield reduction due to weeds varies from 5 to 50% (Ali et al, 2013). Chemical herbicides are effective and have been widely adopted to control weeds.…”

Section: Introductionmentioning

confidence: 99%

The Weeds Control of a Novel Bioorganic Fertilizer and its Effects on Agronomic Traits of Rice

Li¹

2018

IJAB

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Bio-organic fertilizer (BIO) is usually used as one of effective solutions to control weeds and reduce environmental pollution in agricultural ecosystems. A novel BIO for weed control and nutrient supply was manufactured and field trials at three rice fields were conducted for two years to evaluate its effect. The novel BIO was found to be effective in controlling grass and broad-leaved weeds in rice fields, with an average rate of more than 80% weed suppression. In addition, the BIO treatments significantly increased rice yield (16.3-29.8% relative to control) and yield components (e.g., number of spikes per square meter, plant height, number of kernels per spike). Results from these field experiments have implications for farmers and government agencies in regard for accept ability of bio-organic fertilizer for biological weed control in rice cultivation.

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“…Some scientists are still seeking best prediction solutions on a single parameter leaf area index based functional form to model process level competition of light, water and nutrients factors (whole life period of weed-crop interaction) with real time information for precision farming (Ali et al, 2013). Generally management intervention specific to high weed emergence cycle or critical period of competition may bring better level of net benefit.…”

Section: Common Functional Forms Of Crop Yield Loss Modelsmentioning

confidence: 99%

Assessment of functional forms of crop yield loss models of invasive plant species applied in decision support tools and bioeconomic modelling

Dhakal

Scanlan

2015

Agricultural Systems

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Yield loss prediction models based on early estimation of weed pressure

Cited by 34 publications

References 66 publications

Long‐term changes in weed occurrence, yield and use of herbicides in maize in south‐western Germany, with implications for the determination of economic thresholds

Long‐term changes in weed occurrence, yield and use of herbicides in maize in south‐western Germany, with implications for the determination of economic thresholds

The Weeds Control of a Novel Bioorganic Fertilizer and its Effects on Agronomic Traits of Rice

Assessment of functional forms of crop yield loss models of invasive plant species applied in decision support tools and bioeconomic modelling

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