Results 131 to 140 of about 50,009 (265)

Genetic risk variants implicate impaired maintenance and repair of periodontal tissues as causal for periodontitis—A synthesis of recent findings

Periodontology 2000, EarlyView.
AbstractPeriodontitis is a complex inflammatory disease in which the host genome, in conjunction with extrinsic factors, determines susceptibility and progression. Genetic predisposition is the strongest risk factor in the first decades of life. As people age, chronic exposure to the periodontal microbiome puts a strain on the proper maintenance of ...
Arne S. Schaefer, Luigi Nibali, Noha Zoheir, Niki M. Moutsopoulos, Bruno G. Loos   +4 more
wiley   +1 more source

An Effective YOLOv11 Grain Detection Model Trained on Intact Barley Spikes Reveals a QTL Containing a Pivotal Regulator of Lateral Spikelet Formation. [PDF]

Plants (Basel)
Thornbury BC, Li C.
europepmc   +1 more source

Temporal genetic relationships between growth, development, and malting quality in winter barley (Hordeum vulgare) using aerial imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Grain characteristics are the cumulative product of growth and development throughout the growing season. In barley (Hordeum vulgare), these traits determine the grain's value for malting purposes. The ability to accurately predict the genetic merit for malting quality is of great interest for barley breeding programs. Same‐season selection on
Amelia Loeb, Felipe Sabadin, Alexis Perry, Harmonie Bettenhausen, Gina Brown‐Guedira, Jared Smith, Kimberly Howell, Jason Walling, Hannah Uhlmann, Wynse Brooks, Nicholas Santantonio   +10 more
wiley   +1 more source

Spatial analysis of cell patterning to aid genetic and phenotypic understanding of grass stomatal density: A case study in maize

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Biological processes involve complex hierarchies where composite traits result from multiple component traits. However, holistically understanding of how sets of component traits interact to underpin genotype‐to‐phenotype relationships is generally lacking.
John G. Hodge, Andrew D. B. Leakey
wiley   +1 more source

QTL Mapping and Candidate Gene Prediction for Crude Protein Content in Sweetpotato (<i>Ipomoea batatas</i> (L.) Lam.). [PDF]

Plants (Basel)
Zhao D, Wang J, Zhao L, Xiao S, Dai X, Zhang A, Yuan R, Wang Y, Li Q, Ning T, Zhou Z, Cao Q.   +11 more
europepmc   +1 more source

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

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, Leonardo M. Bastos, Zenglu Li   +2 more
wiley   +1 more source

Genetic identification and characterization of novel loci for flag leaf morphology traits in Chinese endemic wheat. [PDF]

Plant Genome
Lohani MN, Su L, Lu L, Yin L, Liu Y, Xu Q, Jiang Y, Jiang Q, Chen G, Wei Y, Liu C, Xie Q, Ma J.   +12 more
europepmc   +1 more source

A highly accurate, low‐cost method for detecting and quantifying soybean leaf flipping phenotype during drought stress

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract A genome‐wide association study (GWAS) using digital images was conducted to delineate regions of the genome that govern the leaf flipping quantitative trait in soybean (Glycine max (L.) Merr). However, converting the digital data to numerical scores for downstream analyses was challenging.
Mohammad Anisur Rahaman, Atit Parajuli, Adnan Hossain Khan, Liang Dong, Madan K Bhattacharyya   +4 more
wiley   +1 more source

QTLNetwork-MP: integrative mapping of additive, epistatic, and G × E effects for complex traits in multiparent advanced generation intercross populations. [PDF]

Brief Bioinform
Zhu TN, Tong Z, Suo M, Xu M, Ullah A, Lin F, Zhang H, Xiao B, Xu HM.   +8 more
europepmc   +1 more source

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source