Canopeo: A Powerful New Tool for Measuring Fractional Green Canopy Cover

Patrignani, Andres; Ochsner, Tyson

doi:10.2134/agronj15.0150

Cited by 414 publications

(299 citation statements)

References 40 publications

Supporting

Mentioning

289

Contrasting

Unclassified

Order By: Relevance

“…The fractional green canopy cover was measured using a methodology similar to Purcell (2000), where digital photographs encompassing one meter square were taken in eight to ten different dates in the season. Photos were analyzed using Canopeo (Patrignani and Ochsner, 2015). Figures 6A, C portray the growing season dynamics of fractional green canopy cover, calculated by assuming a linear increase or decrease between consecutive measurements.…”

Section: Discussionmentioning

confidence: 99%

Winter Wheat Yield Response to Plant Density as a Function of Yield Environment and Tillering Potential: A Review and Field Studies

et al. 2020

View full text Add to dashboard Cite

Wheat (Triticum aestivum L.) grain yield response to plant density is inconsistent, and the mechanisms driving this response are unclear. A better understanding of the factors governing this relationship could improve plant density recommendations according to specific environmental and genetics characteristics. Therefore, the aims of this paper were to: i) execute a synthesis-analysis of existing literature related to yield-plant density relationship to provide an indication of the need for different agronomic optimum plant density (AOPD) in different yield environments (YEs), and ii) explore a data set of field research studies conducted in Kansas (USA) on yield response to plant density to determine the AOPD at different YEs, evaluate the effect of tillering potential (TP) on the AOPD, and explain changes in AOPD via variations in wheat yield components. Major findings of this study are: i) the synthesis-analysis portrayed new insights of differences in AOPD at varying YEs, reducing the AOPD as the attainable yield increases (with AOPD moving from 397 pl m -2 for the low YE to 191 pl m -2 for the high YE); ii) the field dataset confirmed the trend observed in the synthesis-analysis but expanded on the physiological mechanisms underpinning the yield response to plant density for wheat, mainly highlighting the following points: a) high TP reduces the AOPD mainly in high and low YEs, b) at canopy-scale, both final number of heads and kernels per square meter were the main factors improving yield response to plant density under high TP, c) under varying YEs, at per-plant-scale, a compensation between heads per plant and kernels per head was the main factor contributing to yield with different TP.

show abstract

Section: Discussionmentioning

confidence: 99%

Winter Wheat Yield Response to Plant Density as a Function of Yield Environment and Tillering Potential: A Review and Field Studies

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The percentage of area covered by green plants was determined by taking two photos from the center row of each plot at 1 m height between rows of the cash crop. The photos were then evaluated using the Canopeo application developed by Patrignani and Ochsner () with the default settings and the two measurements averaged per plot. Cover crop green cover data from Prosper were not collected in spring 2017.…”

Section: Methodsmentioning

confidence: 99%

Establishing winter annual cover crops by interseeding into Maize and Soybean

Mohammed¹,

Matthees²,

Gesch³

et al. 2020

Agronomy Journal

View full text Add to dashboard Cite

The limited time available for cover crop establishment after maize (Zea mays L.) and soybean [Glycine max (L.) Merr.] harvest is one of the main reasons for low cover crop adoption in the upper Midwest. Therefore, a 2-yr multilocation study was conducted to evaluate winter annual cover crops establishment, their effect on main crop grain yields, and soil water content when interseeded into standing maize and soybean. Treatments were three interseeding dates (broadcasting at R4, R5, and R6 growth stages for maize, and R6, R7, and R8 for soybean) and three cover crops (win-winter rye [Secale cereale L.] plus a no cover crop control). Cover crop establishment and growth varied with interseeding date across locations and seasons for both maize and soybean systems. Averaged over the years, rye produced more green cover and biomass than the oilseeds in spring. However, at the northern-most site, the greatest (40%) green cover was recorded from pennycress and indicates its potential as a cover crop. Seeding date and cover crops did not negatively affect maize or soybean grain yields or soil water content. Generally, cover crop establishment and growth were better in the soybean system than maize due to better light penetration. Further research is needed to develop better suited cultivars and/or agronomic management practices for interseeding into maize. The results of this study indicate that producers could integrate these covers to diversify and add ecosystem services to soybean production practices.Abbreviations: PAR, photosynthetic active radiation; PC, pennycress; PLS, pure live seeds; PPD, plant population density; WC, winter camelina.

show abstract

“…Throughout the growing seasons, various plant measurements were acquired (ten observations or samples per plot, unless otherwise stated) to quantify the effect row spacing and plant population had on plant growth and phenology (Table 1). Canopy coverage was determined at the V5 (five leaf) and V8 (eight leaf) growth stages at Yorkville in 2018 and at Champaign in 2017 and 2018 to measure the fraction of ground covered by green vegetation (Canopeo; Mathworks, Inc., Natick, MA) (Patrignani & Ochsner, 2015). All images for canopy coverage measurements were obtained with a digital camera positioned 190 cm above, and perpendicular to, the ground.…”

Section: Methodsmentioning

confidence: 99%

Plant population and row spacing effects on corn: Phenotypic traits of positive yield‐responsive hybrids

Bernhard

Below

2020

Agronomy Journal

View full text Add to dashboard Cite

Corn (Zea mays L.) hybrids differ in their yield response to plant population and/or row spacing changes. The objective of this study was to identify the hybrid phenotypic traits underlying intensive plant population and row spacing yield responses to help breeders select for hybrids to be placed in these possible management systems. In 2017 and 2018, six commercial hybrids were planted at 94,000, 109,000, 124,000, and 139,000 plants ha −1 in a 76-cm or 51-cm row spacing at two locations in Illinois.In general, the more recently released hybrids and full-season hybrids tended to have greater yields in response to both higher planting population and narrower row spacing. Of the 46 measured phenotypic traits, those related to shoot biomass had more plasticity than many of the leaf traits (i.e. total leaves, leaf length, leaf angle, etc.) in response to plant spatial arrangement, but root traits had even greater plasticity. While the hybrids had inherently distinct phenotypic traits, there was no difference between hybrids in the plasticity extent of their shoot or root traits in response to plant population and/or row spacing alterations. Stepwise multiple logistic regression was used to identify the key phenotypic traits (predictors) of hybrids with increased yield in response to greater planting populations and narrower row spacing. These key traits for increased yields were related to capturing more sunlight (leaf angle, width, length, and area per plant), plant size (stover biomass per hectare, shoot biomass per hectare, and plant width), and root weight per plant.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

show abstract

Canopeo: A Powerful New Tool for Measuring Fractional Green Canopy Cover

Cited by 414 publications

References 40 publications

Winter Wheat Yield Response to Plant Density as a Function of Yield Environment and Tillering Potential: A Review and Field Studies

Winter Wheat Yield Response to Plant Density as a Function of Yield Environment and Tillering Potential: A Review and Field Studies

Establishing winter annual cover crops by interseeding into Maize and Soybean

Plant population and row spacing effects on corn: Phenotypic traits of positive yield‐responsive hybrids

Contact Info

Product

Resources

About