Results 121 to 130 of about 17,824 (223)

Effects of Defoliation at Different Fertility Stages on Material Accumulation, Physiological Indices and Yield of Cotton

open access: yesAgriculture
In recent years, severe hailstorms have caused damage to cotton leaves and stalks. In order to identify the effects of cotton leaf damage on its dry matter accumulation, protective enzyme activity and yield in different periods, in this experiment ...
Wenjun Li   +5 more
doaj   +1 more source

Dendroindication of Retrospective Larch Defoliation [PDF]

open access: yes, 2018
We propose a method for dating of growth seasons of Siberian larch (Larix sibirica Ledeb.) following insect infestation events and defoliation. Needle damage during the growth phase triggers tree investment into additional growth of brachyblasts within ...
Viktor I. Voronin, Tatyana I. Morozova
core   +1 more source

Responses of bahiagrass to nitrogen and defoliation

open access: yes, 2003
Pensacola bahiagrass (Paspalum notatum Flgge) swards pretreated with fertilizer nitrogen rates of 0 and 66-99 kg N ha-1 year-1 were exposed to repeated, severe defoliation (i.e., removal of all laminae) of every day (D1), every 2 days (D2), and every 4 ...
Pakiding, W., Hirata, M.
core   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan   +1 more
wiley   +1 more source

Upland Cotton Defoliation Test

open access: yes, 1988
A field study was carried out to test the effectiveness of several defoliation treatments on Upland cotton in Pinal County. Three defoliation treatments were utilized.
Silvertooth, Jeff, Stedman, Sam
core   +3 more sources

Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Ascochyta blight is a widely occurring chickpea fungal disease that can cause severe yield loss. Breeding for crop resistance benefits from high‐throughput evaluation of plant–pathogen interactions in genotypes which can serve as sources of resistance.
Florian Tanner   +9 more
wiley   +1 more source

Utilising leaf number as an indicator for defoliation to restrict stem growth in rhodes grass (Chloris gayana) cv. Callide [PDF]

open access: yes, 2009
A plot experiment examined the yield response of a nitrogen-fertilised rhodes grass (Chloris gayana) sward to defoliation using the production of a set number of leaves after the last defoliation as the indication for defoliation harvesting. Two factors,
Pembleton, K.G.   +2 more
core  

Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Predictive breeding has been proposed as an effective approach to accelerate genetic gain for complex traits. Genomic prediction (GP) models have been developed in alfalfa (Medicago sativa L.) for key traits in the last decade. More recently, phenomic prediction (PP) models have been proposed as a low‐cost, high‐throughput alternative to GP in
Pablo Sipowicz   +8 more
wiley   +1 more source

Recovery of southern mountain caribou habitat following wildfire in Ulkatcho territory, British Columbia, Canada

open access: yesThe Journal of Wildlife Management, Volume 90, Issue 8, November 2026.
Caribou forage lichens were present in post‐burn lodgepole pine stands multiple decades before stem‐density was likely open enough to attract wintering caribou. We posit that the prolonged self‐thinning of lodgepole pine after fire may be a greater limiting factor than lichen abundance for habitat recovery in lodgepole pine forests.
Olivier P. Bélanger‐Jumeau   +2 more
wiley   +1 more source

Combined effects of canola plant density and insecticide management strategies on flea beetle abundance, canola defoliation, and yield across the Canadian prairies

open access: yesPest Management Science, Volume 82, Issue 11, Page 10648-10657, November 2026.
Increasing canola plant density reduced flea beetle abundance per plant and increased yield, independent of region or insecticide use, highlighting its potential as a component of integrated pest management. Abstract The crucifer flea beetle, Phyllotreta cruciferae (Goeze), and the striped flea beetle, Phyllotreta striolata (Fabricius) (Coleoptera ...
Shayla Woodland   +7 more
wiley   +1 more source

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