Field evaluation of regression equations to estimate crop yield losses due to weeds

O’Donovan, John T.; Blackshaw, Robert E.; Harker, K. Neil; Clayton, George W.; Maurice, D.

doi:10.4141/p05-041

Cited by 18 publications

(15 citation statements)

References 32 publications

(32 reference statements)

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“…Therefore, relative time of emergence of A. fatua and the crop can impact the degree of interference. Simulation models based solely on A. fatua plant density were less reliable than those based on that parameter plus either crop plant density or relative time of emergence in predicting cereal crop or canola (Brassica napus L.) yield loss in western Canada (O'Donovan et al 2005a). A spring wheat yield loss model based on density and relative time of emergence predicted that 10 A. fatua plants m (2 would result in a 3, 6, and 10% yield loss in spring wheat when the weed was one leaf stage behind, at the same leaf stage, or one leaf stage ahead of the crop, respectively (O'Donovan et al 1985;Cousens et al 1987; Saskatchewan Ministry of Agriculture 2012).…”

Section: Economic Importancementioning

confidence: 93%

The Biology of Canadian Weeds. 27.Avena fatuaL. (updated)

Beckie

FrancisArdath²,

HallLinda

2012

Can. J. Plant Sci.

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L. M. 2012. The Biology of Canadian Weeds. 27. Avena fatua L. (Updated). Can. J. Plant Sci. 92:1329Á1357. An updated review of biological information is provided for Avena fatua. A widespread species originating in Eurasia, A. fatua is one of the 10 worst annual weeds of temperate agricultural regions of the world. Key weediness traits of this highly selfing species include fecundity, seed shatter, and a large and persistent seed bank with variable degrees of primary seed dormancy. The species occurs in all Canadian provinces and most states in the USA. In Canada, it is most troublesome as a weed in the prairies, where it has spread throughout crop areas in all climatic zones. Depending upon plant density and relative time of emergence, A. fatua competition may reduce annual crop yields by as much as 70%. First cohort emergence of A. fatua coincides with planting and emergence of spring-seeded crops, although additional cohorts can emerge throughout the growing season. Avena fatua is more abundant in zerothan intensive-tillage systems; the former regime promotes earlier and greater emergence because of a shallower and less persistent seed bank. Despite the introduction of highly efficacious herbicides in the 1970s and 1980s, abundance of the species has not declined across the Canadian prairies or elsewhere. The continual evolution of herbicide-resistant A. fatua populations, seed spread via farm machinery, and limited herbicide modes of action for its control threaten sustained annual field crop production in many temperate agricultural areas. Further adoption and integration of multiple non-herbicidal weed management practices, such as enhanced crop seeding rate, competitive crops and cultivars, and precision fertilizer placement, should help mitigate A. fatua interference. The species has some beneficial uses as an alternative feed and food constituent or industrial feedstock, as well as potential in cultivated oat (Avena sativa L.) improvement. Key words: Avena fatua, wild oat, folle avoine, weed biology Beckie, H. J., Francis, A. et Hall, L. M. 2012. La biologie des mauvaises herbes au Canada. 27. Avena fatua L. (mise aj our). Can. J. Plant Sci. 92: 1329Á1357. L'article propose une mise au point sur la biologie d'Avena fatua. Espe`ce d'Eurasie largement re´pandue, la folle avoine figure parmi les dix pires adventices annuelles dans les re´gions agricoles ac limat tempe´re´du monde.Les principaux caracte`res qui font de cette espe`ce autofe´conde´e une mauvaise herbe sont la fe´condite´, l'e´gre`nement et un important re´servoir de graines persistantes a`dormance primaire de degre´variable. La folle avoine existe dans toutes les provinces du Canada et dans la majorite´des É tats ame´ricains. Au Canada, elle s'ave`re particulie`rement proble´matique dans les Prairies, ou`elle a gagne´les re´gions cultive´es de toutes les zones climatiques. Selon la densite´du peuplement et le moment relatif ou`a lieu la leve´e, A. fatua peut re´duire le rendement des cultures annuelles de jusqu'a`70 %. La germination de la pre...

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Section: Economic Importancementioning

confidence: 93%

The Biology of Canadian Weeds. 27.Avena fatuaL. (updated)

Beckie

FrancisArdath²,

HallLinda

2012

Can. J. Plant Sci.

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“…This kind of information is useful to assess future weed seed production and to determine whether weed control is required in the long term. Supporting decision‐making for applying weed control techniques has also a role to play in an overall integrated management strategy (O’Donovan et al. , 2005).…”

Section: Discussionmentioning

confidence: 99%

“…The mathematical approach that we have presented has the advantage of being able to deal with the concept of uncertainty in making decisions. Previous studies have already pointed out the risk of taking a wrong decision, by using economic thresholds defined from overestimating crop yield loss equations (O’Donovan et al. , 2005).…”

Section: Discussionmentioning

confidence: 99%

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The benefits of using quantile regression for analysing the effect of weeds on organic winter wheat

Casagrande¹,

Makowski²,

Jeuffroy³

et al. 2010

Weed Research

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In organic farming, weeds are one of the threats that limit crop yield. An early prediction of weed effect on yield loss and the size of late weed populations could help farmers and advisors to improve weed management. Numerous studies predicting the effect of weeds on yield have already been conducted, but the level of uncertainty about weed effect is expected to be very high in organic crops. It is thus more appropriate to provide farmers and advisors with distributions of possible production levels, rather than with point values. The purpose of this study was to estimate the effect of early weed density at the end of the tillering stage of organic winter wheat on subsequent yield and on late weed density at flowering, by using quantile regression. Results showed that this method can be applied to a hyperbolic model and to an allometric density-dependent model, to describe the distribution of yield values and of late weed density respectively, as functions of early weed density measurements. Mechanical weed control showed no significant effect on the relationship between early weed density and grain yield, but it decreased late weed density. Yield and late weed density distributions derived by quantile regression provided sound information on the possible effect of weeds on organic winter wheat production

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“…However, economic threshold (ET) concept, that is the best estimate to determine the ideal density to control weeds, is less adopted. ET concept considers as decision parameters not only crop losses caused by weed interference, but the final crop yield, the price paid for the crop grain produced, weed control costs and efficiency of weed control (O'Donovan et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Economic Threshold of Volunteer Corn GR® in Soybean as a Function of Emergence Time and Origin of Corn

Piasecki

Rizzardi

2018

Planta daninha

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Volunteer corn is extremely competitive with soybean and the degree of interference varies with the corn density, time of emergence and origin. The objectives of this work were to determine the economic threshold (ET) of volunteer corn GR® F2 in soybean as a function of the time of emergence (same day and nine days after soybean) and origin (individual plants or clumps). Each clump was manually adjusted to have seven corn plants. Four field experiments were conducted in randomized blocks design with four replicates in Passo Fundo, RS, Brazil. The soybean yield losses (%) were calculated and adjusted to the model of the rectangular hyperbola and generated the parameters for the determination of the ET, that was calculated based on the volunteer corn control costs (US$ ha-1), efficiency of control (%), price paid for soybean (US$ kg-1) and soybean yield (kg ha-1). The ET mean was 0.3 and 0.48 for individual corn plants m-2 emerged together and nine days after soybean, and 0.08 and 0.03 m-2 for individual plants and clumps, respectively. Increases in grain yield and price paid for soybean, greater control efficiency of corn and lower control cost promote reduction in the ET of volunteer corn in soybean. The control of volunteer corn is justified in a density less than 0.5 individual plant m-2 and is close to zero when corn originates from clumps. Volunteer corn is one of the most competitive weed in soybean crops.

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Field evaluation of regression equations to estimate crop yield losses due to weeds

Cited by 18 publications

References 32 publications

The Biology of Canadian Weeds. 27.Avena fatuaL. (updated)

The Biology of Canadian Weeds. 27.Avena fatuaL. (updated)

The benefits of using quantile regression for analysing the effect of weeds on organic winter wheat

Economic Threshold of Volunteer Corn GR® in Soybean as a Function of Emergence Time and Origin of Corn

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