Results 221 to 230 of about 211,250 (391)

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

Across-breed analyses of genome-wide association studies for stature and mammary gland morphology in cattle reveal pleiotropic effects of the Friesian POLLED haplotype. [PDF]

Genet Sel Evol
Watson N, He Q, Kadri NK, Leonard AS, Seefried FR, Pausch H.   +5 more
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 identification for yield components using single segment substitution lines dissected by rice CSSL-Z799. [PDF]

Front Plant Sci
Wang X, Xiang A, Fan X, Li G, Zhao M, Wang D, Yang K, Ling Y, Yang Z, Zhao F.   +9 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

Mapping novel QTLs associated with grain number and primary branching in rice using new plant type derived RILs. [PDF]

BMC Plant Biol
Nandakumar S, Sonu, Singh VJ, Vinod KK, Harshitha BS, Krishnan SG, Dixit BK, Ragi S, Ellur RK, Bollinedi H, Nagarajan M, Shivakumar N, Mondal TK, Singh AK, Bhowmick PK.   +14 more
europepmc   +1 more source

The influence of QTL allelic diversity on QTL detection in multi-parent populations: a simulation study in sugar beet [PDF]

, 2020
Vincent Garin, Valentin Wimmer, Dietrich Borchardt, Marcos Malosetti, Fred A. van Eeuwijk   +4 more
openalex   +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

Genomic dissection of iron toxicity tolerance in rice identifies key loci, candidate genes, and associated haplotypes. [PDF]

Sci Rep
Jaiswal S, Kumar K, Kumari A, Singh BK, Bharati A, Baiswar P, Devi AG, Rangappa K, Talukdar M, Shimray P, Touthang L, Hazarika S.   +11 more
europepmc   +1 more source