Epistasis and pleiotropy‐induced variation for plant breeding

SL Dwivedi, P Heslop‐Harrison, J Amas… - Plant Biotechnology …, 2024 - Wiley Online Library
Epistasis refers to nonallelic interaction between genes that cause bias in estimates of
genetic parameters for a phenotype with interactions of two or more genes affecting the …

Genomic selection of soybean (Glycine max) for genetic improvement of yield and seed composition in a breeding context

MJ Miller, Q Song, Z Li - The Plant Genome, 2023 - Wiley Online Library
Genomic selection has been utilized for genetic improvement in both plant and animal
breeding and is a favorable technique for quantitative trait development. Within this study …

Prediction of additive, epistatic, and dominance effects using models accounting for incomplete inbreeding in parental lines of hybrid rye and sugar beet

PS Kristensen, P Sarup, D Fé, J Orabi, P Snell… - Frontiers in Plant …, 2023 - frontiersin.org
Genomic models for prediction of additive and non-additive effects within and across
different heterotic groups are lacking for breeding of hybrid crops. In this study, genomic …

Genomic prediction for agronomic traits in a diverse Flax (Linum usitatissimum L.) germplasm collection

A Hoque, JV Anderson, M Rahman - Scientific Reports, 2024 - nature.com
Breeding programs require exhaustive phenotyping of germplasms, which is time-
demanding and expensive. Genomic prediction helps breeders harness the diversity of any …

Confidence intervals for validation statistics with data truncation in genomic prediction

M Bermann, A Legarra, AA Munera, I Misztal… - Genetics Selection …, 2024 - Springer
Background Validation by data truncation is a common practice in genetic evaluations
because of the interest in predicting the genetic merit of a set of young selection candidates …

Integrating a growth degree-days based reaction norm methodology and multi-trait modeling for genomic prediction in wheat

MA Raffo, P Sarup, JR Andersen, J Orabi… - Frontiers in Plant …, 2022 - frontiersin.org
Multi-trait and multi-environment analyses can improve genomic prediction by exploiting
between-trait correlations and genotype-by-environment interactions. In the context of …

Genomic dissection of additive and non-additive genetic effects and genomic prediction in an open-pollinated family test of Japanese larch

L Dong, Y Xie, Y Zhang, R Wang, X Sun - BMC genomics, 2024 - Springer
Genomic dissection of genetic effects on desirable traits and the subsequent use of genomic
selection hold great promise for accelerating the rate of genetic improvement of forest tree …

Gene× gene and genotype× environment interactions in wheat

MA Raffo, J Jensen - Crop Science, 2023 - Wiley Online Library
Accelerating the rate of genetic gain of major crops is required to meet the projected global
demand for food. Genomic selection (GS) has made valuable contributions to the genetic …

QTL analysis for nitrogen use efficiency in wheat (Triticum aestivum L.)

R Singh, G Saripalli, A Kumar, T Gautam, SK Singh… - Euphytica, 2023 - Springer
The genetic architecture of nitrogen use efficiency (NUE) and its two component traits ie
NUpE (N uptake efficiency) and NUtE (N utilization efficiency) was studied using a bi …

The use of weighted multiple linear regression to estimate QTL × QTL × QTL interaction effects of winter wheat (Triticum aestivum L.) doubled-haploid lines

A Cyplik, D Piaskowska, P Czembor… - Journal of Applied …, 2023 - Springer
Abstract Knowledge of the magnitude of gene effects and their interactions, their nature, and
contribution to determining quantitative traits is very important in conducting an effective …