Results 111 to 120 of about 2,934,595 (206)
, 1974 Severe defoliation (2cm height) at fortnightly intervals was extremely detrimental to foliage and root dry matter production. High intensity of defoliation appeared to be more detrimental than high frequency.
JW, Rabie, MW, Pretorius, J. O, Grunow
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Minimising sunburn necrosis on Vitis vinifera L. ‘Riesling’ grapes by defoliation, photo- and thermal protection [PDF]
Sunburn on grapes has emerged as an economic concern in recent decades. The phenomenon can be attributed to climatic changes, characterised by elevated air temperatures and intense solar radiation, leading to increased crop failures as well as quality ...
Bermejo, Iris Alicia [0000-0001-8864-4852] +15 more
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The 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
The 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
, 2016 Light environments can have a considerable influence on how plants respond to defoliation through influencing the biomass allocation patterns and internal C/N ratio.
Wang, LH +6 more
core +1 more source
Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species
The 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
, 2009 Cotton (Gossypium hirsutum L.) grown in North Carolina requires intensive management for achieving optimal yields in an early-season environment. Recent increases in production costs require cotton producers to adopt practices that allow yield potential
Collins, Guy David
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Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa
The 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
, 2010 Growth characteristics, dry-matter (DM) yield, chemical components and in vitro dry-matter digestibility (IVDMD) of Napier grass were studied in a randomized complete block design with three replications at Haramaya University, Ethiopia.
Solomon, M., Mihret, J., Tessema, Z.K.
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Austral Entomology, Volume 65, Issue 4, November 2026.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