Results 121 to 130 of about 22,789 (275)
Fruit quality and production of Vitis vinifera L. Chardonnay affected by partial defoliation in tropical highlands [PDF]
Using a completely randomized design with twotreatments (50% defoliation and a control without defoliation)and six replications per treatment, the fruit quality and productionof grape plants subjected to early partial-defoliation in Villa deLeyva ...
Casierra Posada, Fánor +1 more
core
Soybean response to weed interference and defoliation
Field experiments were conducted in Louisiana over 2 yr to evaluate the influence of full-season interference from johnsongrass, common cocklebur, or hemp sesbania at densities of 2.5, 0.5, and 2.0 plants m-1 of row, respectively, and simulated insect ...
Russin, John S. +5 more
core +1 more source
Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha +3 more
wiley +1 more source
Abstract Soybean [Glycine max (L.) Merr.] varieties are categorized into different relative maturity groups (MGs) that correspond to the approximate region that the variety is best adapted. Maturity is an important trait that growers consider when deciding which varieties to plant and for breeders as a covariate to compare genotypes.
Nathaniel Burner +2 more
wiley +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
Defoliation categories (I: Easy defoliation; II: Difficult defoliation; III: Intermediate defoliation) and their posteriori probability of sugarcane genotypes determined by HCA (hierarchical cluster analysis) and SDA (stepwise discriminant analysis).
Hongtao Jiang (5204369) +5 more
core +1 more source
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
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
ABSTRACT Spodoptera litura (Fabricius) is a highly polyphagous lepidopteran pest; however, little is known about its seasonal population dynamics or larval host plant use in northern Australia. Improved understanding of the ecology of S. litura is increasingly important given the anticipated expansion of Bacillus thuringiensis (Bt) cotton production in
Sharna Holman +3 more
wiley +1 more source
How wildlife respond to tropical cyclones: short‐term tactics and long‐term impacts
ABSTRACT From butterflies to lizards and from sharks to seabirds, wildlife exhibit tactics to survive the impacts of tropical cyclones, also known as hurricanes, cyclones, or typhoons depending on where they occur. Some species seek refuge during the storm by moving, some remain in place and ride it out, and others move longer distances, avoiding the ...
Erin L. Koen +15 more
wiley +1 more source

