Results 121 to 130 of about 19,470 (217)

Philosophy of phenomic prediction and its incompatibility with causal inference

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Breeding programs need to make decisions frequently to improve populations and develop varieties efficiently. These needs led to the development of genomic prediction in the early 2000s and phenomic prediction in the mid‐2010s. In practice, phenomic prediction techniques rely on the same statistical tools and computational frameworks as other ...
Mitchell J. Feldmann   +2 more
wiley   +1 more source

Pierre with Fresh Picked Blueberries

open access: yes, 2010
Pierre the Penguin, an unoffical Governors State University mascot, posed in a box of fresh picked blueberries in Michigan.https://opus.govst.edu/pierre/1020/thumbnail ...
Brady, Margaret
core   +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

Phenomic prediction of club wheat milling yields

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Near‐infrared reflectance spectroscopy (NIRS) provides a nondestructive method for estimating physical and chemical grain properties and is widely used in breeding programs to phenotype traits such as texture, color, moisture, protein, and oil content. Club wheat (Triticum aestivum subsp.
Peter Schmuker   +4 more
wiley   +1 more source

Northblue and Northsky Blueberries

open access: yes, 1983
2 pagesWildung, David; Luby, Jim; Munson, Shirley; Stushnoff, Cecil. (1983). Northblue and Northsky Blueberries.
Wildung, David   +3 more
core  

Computer vision associated with multivariate genomic selection methods increases yield prediction accuracy in blueberry

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Blueberry (Vaccinium spp.) is among the most consumed soft fruits and an important source of health‐promoting compounds. Among the key traits driving selection in breeding programs, yield is the most important. The standard way to measure yield is harvesting and weighing the total number of berries, a process that is laborious, expensive ...
Matheus M. Suela   +5 more
wiley   +1 more source

Fogler Favorites - Blueberries for Sal

open access: yes, 2010
This poster is part of the “Fogler Favorites” series. Elaine Smith’s Fogler Favorite is Blueberries for Sal.https://digitalcommons.library.umaine.edu/faves/1001/thumbnail ...
Team, Fogler Marketing, Lund, Jerry
core  

Balancing gain and diversity: Optimal contribution selection for sustainable genetic improvement in sugarcane

open access: yesThe Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Sugarcane (Saccharum spp. hybrids), the source of ∼80% of the worlds sugar, has experienced a plateau in genetic improvement over recent decades. This stagnation is largely due to the crop's complex polyploid genome and long breeding cycles, which limit the efficiency of traditional selection methods.
Natalya Vo Van‐Zivkovic   +5 more
wiley   +1 more source

Vaping and E‐Cigarettes: An Emergency Department Survey

open access: yesEmergency Medicine Australasia, Volume 38, Issue 6, December 2026.
ABSTRACT Objective To characterise vaping practices and perceptions in a non‐consecutive cohort across four Sydney Emergency Departments (EDs) prior to 2024 Australian legislative changes restricting disposable vapes. Methods An anonymous digital survey of up to 40 questions was conducted from May 2023 to January 2024 in patients and visitors aged > 14 
Christopher Lycett   +5 more
wiley   +1 more source

Population‐Level Assimilated Dietary Responses of Black Bears to Baiting

open access: yesEcology and Evolution, Volume 16, Issue 11, November 2026.
We used individual (e.g., sex, age) and spatial (e.g., bait distribution) predictors to determine how bait impacts black bear diet composition using stable isotope analysis before and during baiting across Michigan, USA. We found that proportion of anthropogenic food in black bear diet was greater during the baiting period, especially for female black ...
Sarah L. Schooler   +5 more
wiley   +1 more source

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