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

