Results 121 to 130 of about 1,092 (233)

IN VARIOUS LAYER THICKNESSES EFFECT OF APPLICATION OF BAYSTAR DEFOLIANT ON THE YIELD OF COTTON VARIETY S-7303

open access: yes
This study examined the effectiveness of the Baystar defoliant and its impact on the yield of the medium-fiber cotton variety S-7303 under different plant densities.
Allanazarov Sultanbek   +1 more
core  

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

Editorial: Advanced technologies of UAV application in crop pest, disease and weed control. [PDF]

open access: yesFront Plant Sci, 2023
Zhang R   +5 more
europepmc   +1 more source

Revealing the Key Genetic Basis of Late Leaf Spot Resistance in Peanut by Combining QTL Mapping, QTL‐seq and RNA‐seq

open access: yesPlant, Cell &Environment, Volume 49, Issue 12, Page 10442-10455, December 2026.
ABSTRACT Late leaf spot (LLS) is the most widespread and destructive fungal disease affecting peanut worldwide, yet relatively little is known about its genetic basis. In this study, QTL mapping using a 1327‐bin map (derived from 9533 SNP/InDel markers) and multi‐environment phenotypic data repeatedly detected two major LLS‐resistance QTLs on ...
Wenhui Cui   +12 more
wiley   +1 more source

Impacts of soybean breeding on shoot architecture

open access: yesCrop Science, Volume 66, Issue 6, November/December 2026.
Abstract Despite decades of steady soybean (Glycine max (L.) Merr.) yield increases from improved cultivars, the accompanying changes in shoot architectural traits have been under‐researched. To address this, we analyzed 55 cultivars spanning eight decades of breeding and estimated a genetic gain for yield of 20.7 kg ha−1 year−1 in south‐central ...
Suma Sreekanta   +5 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

INGICHKА TОLАLI G’О’ZА XUSUSIYАTLАRI VА TADQIQOT OLIB BORILAYOTGAN NАVLАRINING TАVSIFI

open access: yes
Mаqоlаdа ingichkа tоlаli g’о’zа ildiz sistemasi, barglarining tuzilishi, ko’saklarining og’irligi, defoliatsiya qilishda defoliant miqdori vа (Mаrvаrid, Surxоn-14, Bо’stоn, G’uzоr)nаvlаrining tаvsifi bаyоn ...
Qо’zibоyev, А.О.
core   +1 more source

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