Spray Retention Models for Arable Crops

Forster, W. A.; Kimberley, M.; Steele, K. D.; Haslett,; Ja, Zabkiewicz; Dean, SW

doi:10.1520/jai13528

Cited by 11 publications

(24 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…), cotton ( Gossypium herbaceum L.), capsicum ( Capsicum annum L.), oilseed rape ( Brassica napus L.) and cabbage ( Brassica oleracea L.). All species (15–20 replicate plants per treatment) were sprayed with 0.01% Silwet ® L‐77™ (an organosilicone surfactant; Momentive Performance Materials, Tarrytown, NY, USA) at (nominal) 250 L ha −1 through a hollow cone nozzle (220 kPa, TXVS‐6; Spraying Systems, Wheaton, IL, USA) mounted 0.5 m above mean plant height of each species using a calibrated belt track sprayer, as described by Forster et al. (2006).…”

Section: Methodsmentioning

confidence: 99%

“…(2006). Individual plant surface areas (measured using a LI‐COR LI3100 area meter; Li‐cor, Lincoln, NE, USA), plant profile areas (areas calculated from digital images taken from above the plant), contact angles (CA) made by 20% and 50% aqueous acetone droplets (2 μL) on leaf surfaces, and percentage retention were also determined as per Forster et al. (2006).…”

Section: Methodsmentioning

confidence: 99%

“…(2006). As no correlation was observed between per cent retention and plant areas (Forster et al. , 2006), retention per plant (μL) or retention per unit plant area (μL cm −2 ) was considered for modelling.…”

Section: Methodsmentioning

confidence: 99%

“…A logistic model was recently developed by Forster et al. (2006) that explains 92% of the variance in spray retention of individual plant canopies.…”

Section: Introductionmentioning

confidence: 99%

“…It explains the combined effects of plant shape and leaf surface character on spray retention. Different morphological constants (M p2 , M p3 , M p4 ) were generated for the different models considered by Forster et al. (2006).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Fractal characterisation of plant canopies and application in spray retention modelling for arable crops and weeds

et al. 2009

View full text Add to dashboard Cite

Summary Fractal analysis can provide a unique mathematical tool to quantify the geometry of irregular and complex plant canopies. This study demonstrated that a single numerical fractal dimension (FD) value derived from an image taken from above the plant canopy could differentiate between and rank the canopies of a range of plant species. We also investigated the influence of canopy architecture and surface characteristics on spray retention. Multiple regressions were used to derive mathematical relationships and develop a spray retention model. It was discovered that the FD value can successfully be used to replace the statistically generated plant morphological factor (Mp4) used in a previous retention model, with the major advantage being that the retention model now only involves variables that can be readily measured. There is an excellent relationship (R2 = 0.99) between actual spray retention per plant (μL) and that predicted by the model incorporating the FD. The spray retentiveness of the plant species studied was ranked using a numerical index based on plant canopy architecture and surface characteristics.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…A logistic model was recently developed by Forster et al. (2006) that explains 92% of the variance in spray retention of individual plant canopies.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fractal characterisation of plant canopies and application in spray retention modelling for arable crops and weeds

et al. 2009

View full text Add to dashboard Cite

show abstract

Importance of leaf surface and formulation properties in predicting wetting outcomes

Nairn

Forster

2022

Pest Management Science

View full text Add to dashboard Cite

BACKGROUNDLeaf wettability is a major hurdle for the retention of agrichemical sprays that is combated, in part, by using adjuvant modified formulations. Scientists must understand the properties of the leaf surface and the formulation that govern wetting to intelligently select or formulate products to target specific pests.RESULTSA comprehensive database comprising 11 synthetic surfaces and 54 leaf surfaces (species, adaxial and abaxial sides, cultivars, and plant age) using 35 formulations (neat solutions and adjuvants solutions at different concentrations) was compiled. Surface properties of the physical roughness and chemical polarity, as quantified by the wetting tension dielectric method, and formulation properties of surface tension and polarity, as quantified by dielectric constant, were found to govern wetting. A comprehensive wetting model was developed that employed these variables and was capable of accurately predicting the wetting outcome (R2 = 0.86) on all the leaf and synthetic surfaces investigated. This model adequately predicts adjuvant formulation wetting despite exact formulation polarity being unknown.CONCLUSIONSWetting can be modelled for a wide range of surfaces and solutions. The comprehensive wetting model developed shows potential to better predict the wetting outcome of adjuvant formulations should a method to quantify the formulation dielectric constant be developed. This research provides a significant advancement in the understanding of the properties governing wetting, which may aid the selection and development of adjuvants to target specific surfaces. © 2022 Society of Chemical Industry.

show abstract

Importance of adjuvant formulation properties in predicting wetting on leaf surfaces

Nairn

Forster

2022

Pest Management Science

View full text Add to dashboard Cite

BACKGROUNDLeaf wettability can be a barrier to retention of agrichemical sprays. Adjuvants are used to modify leaf wetting by sprays to enhance retention. A previous study developed a model that accurately predicted nonadjuvant formulation wetting (contact angle) on both synthetic and leaf surfaces. Model inputs were the surface properties, roughness and polarity, as measured by the wetting tension dielectric method, coupled with the formulation properties, surface tension and dielectric constant. Preliminary work has indicated that the wetting ability of adjuvant formulations on different surfaces could be modelled in a similar way if the effect of adjuvants on solution polarity could be accurately quantified.RESULTSThe wetting of nine agrichemical adjuvants, at a range of concentrations, were measured on seven synthetic and 14 leaf surfaces. A novel method was developed to quantify the interfacial dielectric polarity (IDP) of adjuvant formulations. Adjuvant concentration did not change the IDP indicating the surface‐active surfactant molecules migrate to the interface, loading until saturation. Formulation properties of surface tension and IDP were found to be strong predictors of wetting in conjunction with surface properties of the substrate. The previously developed unaltered comprehensive wetting model could predict the wetting of adjuvant formulations on synthetic and leaf surfaces (R2 = 0.9) using these inputs.CONCLUSIONSWetting of adjuvant formulations can be modelled for a wide range of surfaces and this model is expected to advance the selection, and development, of adjuvants to target specific surfaces generating the desired wetting outcome. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

show abstract

Spray Retention Models for Arable Crops

Cited by 11 publications

References 11 publications

Fractal characterisation of plant canopies and application in spray retention modelling for arable crops and weeds

Fractal characterisation of plant canopies and application in spray retention modelling for arable crops and weeds

Importance of leaf surface and formulation properties in predicting wetting outcomes

Importance of adjuvant formulation properties in predicting wetting on leaf surfaces

Contact Info

Product

Resources

About