Results 31 to 40 of about 372,355 (336)

Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression [PDF]

open access: yesarXiv, 2022
This paper studies the problem of statistical inference for genetic relatedness between binary traits based on individual-level genome-wide association data. Specifically, under the high-dimensional logistic regression models, we define parameters characterizing the cross-trait genetic correlation, the genetic covariance and the trait-specific genetic ...
arxiv  

Supporting long‐term sustainability of ex situ collections using a pedigree‐based population management approach

open access: yesApplications in Plant Sciences, 2022
Premise Living collections maintained for generations are at risk of diversity loss, inbreeding, and adaptation to cultivation. To address these concerns, the zoo community uses pedigrees to track individuals and implement crosses that maximize founder ...
Jeremy A. Foster   +4 more
doaj   +1 more source

IRREGULAR GENETIC TRANSMISSION IN TETRAHYMENA CROSSES [PDF]

open access: yesGenetics, 1963
LLEN (1960) reported briefly an aberration in the breeding behavior of a Astrain (C*) of variety 1 of Tetrahymena pyriformis. Her later studies (ALLEN 1963) established the genetic parameters of the aberration and lead to the conclusion that the total genome of the C* strain is systematically excluded at conjugation.
openaire   +3 more sources

Identification of F1 cassava (Manihot esculenta Crantz) progeny using microsatellite markers and capillary electrophoresis [PDF]

open access: yes, 2016
Generation of genetic diversity is necessary in improving on the potential of cassava when faced with various biotic and abiotic challenges. Presently, cassava breeders are breeding for a number of traits, such as drought tolerance, early root bulking ...
Baguma, Yona K.   +5 more
core   +1 more source

Molecular parentage analysis is essential in breeding Asian seabass.

open access: yesPLoS ONE, 2012
In aquaculture species, maintaining pedigree information and genetic variation in each generation is essential, but very difficult. In this study, we used nine microsatellites to genotype 2,520 offspring from four independent full-factorial crosses (10 ...
Peng Liu   +7 more
doaj   +1 more source

Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species [PDF]

open access: yesarXiv, 2023
Visual as well as genetic biometrics are routinely employed to identify species and individuals in biological applications. However, no attempts have been made in this domain to computationally enhance visual classification of rare classes with little image data via genetics.
arxiv  

Usefulness Criterion and Post-selection Parental Contributions in Multi-parental Crosses: Application to Polygenic Trait Introgression

open access: yesG3: Genes, Genomes, Genetics, 2019
Predicting the usefulness of crosses in terms of expected genetic gain and genetic diversity is of interest to secure performance in the progeny and to maintain long-term genetic gain in plant breeding.
Antoine Allier   +4 more
doaj   +1 more source

Status of cacao breeding in Cote d'Ivoire [PDF]

open access: yes, 2010
Cocoa breeding in Côte-d'Ivoire was initially based on the creation and selection of bi-parental crosses (hybrid varieties) with yield as the main criterion. Since the introduction of Upper Amazon (UA) materials in 1954, hundreds of "single pair" crosses
Eskes, Albertus   +6 more
core  

Dendritic cells steering antigen and leukocyte traffic in lymph nodes

open access: yesFEBS Letters, EarlyView.
Dendritic cells are key players in the activation of T cells and their commitment to effector function. In this In a Nutshell Review, we will discuss how dendritic cells guide the trafficking of antigen and leukocytes in the lymph node, thus influencing T‐cell activation processes. Dendritic cells (DCs) play a central role in initiating and shaping the
Enrico Dotta   +3 more
wiley   +1 more source

ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics [PDF]

open access: yesarXiv, 2021
High annotation costs are a substantial bottleneck in applying modern deep learning architectures to clinically relevant medical use cases, substantiating the need for novel algorithms to learn from unlabeled data. In this work, we propose ContIG, a self-supervised method that can learn from large datasets of unlabeled medical images and genetic data ...
arxiv  

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