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Using Reflectance Sensors in Agronomy and Weed Science

Published online by Cambridge University Press:  20 January 2017

Warwick L. Felton ,
Clair L. Alston ,
Bruce M. Haigh ,
Paul G. Nash ,
Gail A. Wicks  and
Gordon E. Hanson
Warwick L. Felton
Affiliation:
NSW Agriculture, Centre for Crop Improvement, Tamworth, NSW 2340, Australia
Clair L. Alston
Affiliation:
NSW Agriculture, Centre for Crop Improvement, Tamworth, NSW 2340, Australia
Bruce M. Haigh
Affiliation:
NSW Agriculture, Centre for Crop Improvement, Tamworth, NSW 2340, Australia
Paul G. Nash
Affiliation:
NSW Agriculture, Centre for Crop Improvement, Tamworth, NSW 2340, Australia
Gail A. Wicks*
Affiliation:
West Central Research and Extension Center, University of Nebraska, North Platte, NE 69101
Gordon E. Hanson
Affiliation:
West Central Research and Extension Center, University of Nebraska, North Platte, NE 69101
*
Corresponding author's E-mail: [email protected]
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Abstract

Weed-detecting reflectance sensors were modified to allow selective interrogation of the near infrared–red ratio to estimate differences in plant biomass. Sampling was programmed to correspond to the forward movement of the field of view of the sensors. There was a linear relationship (r 2 > 0.80) between actual biomass and crop canopy analyzer (CCA) values up to 2,000 kg/ha for winter wheat sequentially thinned to create different amounts of biomass and up to 1,000 kg/ha for spring wheat sampled at different stages of development. At higher amounts of biomass the sensors underestimated the actual biomass. A linear relationship (r 2 = 0.73) was obtained with the CCA for the biomass of 76 chickpea cultivars at 500 growing degree days (GDD500). The reflectance sensors were used to determine differences in the herbicide response of soybean cultivars sprayed with increasing rates of herbicides. The CCA data resulted in better dose–response relationships than did biomass data for bromoxynil at 0.8 kg ai/ha and glyphosate at 1.35 kg ai/ha. There was no phytotoxicity to soybean with imazethapyr at 1.44 kg ai/ha. The method offers a quick and nondestructive means to measure differences in early-season crop growth. It also has potential in selecting crop cultivars with greater seedling vigor, as an indicator of crop nutrient status, in plant disease assessment, in determining crop cultivar responses to increasing herbicide dose rates, in weed mapping, and in studying temporal changes in crop or weed biomass.

Keywords

Bromoxynilglyphosateimazethapyrchickpea, Cicer arietinum L.soybean, Glycine max (L.) Merrwheat, Triticum aestivum L.Crop canopy analysiscrop growthnear infrared–redweed detectionCCA, crop canopy analyzerDAP, days after plantingDAT, days after treatmentFOV, field of viewGDD, growing degree daysLAI, leaf area indexNDVI, normalized vegetation indexNIR, near infraredR, red
Type
Research
Information
Weed Technology , Volume 16 , Issue 3 , September 2002 , pp. 520 - 527
Copyright
Copyright © Weed Science Society of America 

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