Results 131 to 140 of about 18,205 (212)

Developing and deploying an unmanned aerial system–based phenotyping program for maturity to support soybean breeding

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

Cotton Defoliation Evaluations, 1998

open access: yes, 1997
A field experiment was conducted near Marana, AZ in 1998 to evaluate the effectiveness of a number of defoliation treatments on Upland (var. Stoneville 474) cotton.. All treatments consisted of materials commercially available in Arizona.
Norton, E. R.   +3 more
core  

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  

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

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

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

Does the munch affect the bunch? Using community science to explore insect herbivory and fruit production in an understory plant

open access: yesEcological Entomology, Volume 51, Issue 6, Page 1069-1080, December 2026.
We used iNaturalist records, a longitudinal field survey, and a simulated herbivory experiment to explore how insect herbivory factors are associated with Cornus canadensis fruit production. Naturally observed internal and external insect herbivory was mostly low intensity and did not have a strong relationship with fruit production.
Maria Duynisveld   +3 more
wiley   +1 more source

Effects of Defoliation Height and Time of Initital Defoliation on Regrowth Components in a Poa pratensis- dominated sward [PDF]

open access: yes
Two experiments on swards dominated by Poa pratensis L. were conducted in 2 climatically contrasting (wann/dry and cold/wet) years. There were either 4 or 3 initial defoliation dates in spring and 3 defoliation heights (2, 6 and 10 cm).
Frankow-Lindberg, B E
core   +1 more source

Genome assembly of Elcysma westwoodi provides insights into host‐plant cyanogenic glucoside detoxification and chemical defence gene evolution

open access: yesInsect Molecular Biology, Volume 35, Issue 6, Page 653-668, December 2026.
A chromosome‐level genome of Elcysma westwoodi was assembled. The genome encodes 272 detoxification‐related genes. A single‐copy bCAS was retained for cyanide detoxification. CYP405A and CYP332A were recruited into cyanogenic defence evolution. UGT33A retained a conserved GT‐B fold and catalytic domains.
Minyoung Choi, Murtaza Khan, Juil Kim
wiley   +1 more source

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