The Impact of Alkaloid-Producing Epichloë Endophyte on Forage Ryegrass Breeding: A New Zealand Perspective

C Eady - Toxins, 2021 - mdpi.com
For 30 years, forage ryegrass breeding has known that the germplasm may contain a
maternally inherited symbiotic Epichloë endophyte. These endophytes produce a suite of …

Multi-trait multi-environment genomic prediction of agronomic traits in advanced breeding lines of winter wheat

HS Gill, J Halder, J Zhang, NK Brar, TS Rai… - Frontiers in Plant …, 2021 - frontiersin.org
Genomic prediction is a promising approach for accelerating the genetic gain of complex
traits in wheat breeding. However, increasing the prediction accuracy (PA) of genomic …

Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in Nellore cattle

LFM Mota, LM Arikawa, SWB Santos… - Scientific Reports, 2024 - nature.com
Genomic selection (GS) offers a promising opportunity for selecting more efficient animals to
use consumed energy for maintenance and growth functions, impacting profitability and …

Genomic predictions to leverage phenotypic data across genebanks

S El Hanafi, Y Jiang, Z Kehel, AW Schulthess… - Frontiers in Plant …, 2023 - frontiersin.org
Genome-wide prediction is a powerful tool in breeding. Initial results suggest that genome-
wide approaches are also promising for enhancing the use of the genebank material …

Linking genetic markers and crop model parameters using neural networks to enhance genomic prediction of integrative traits

F Larue, L Rouan, D Pot, JF Rami, D Luquet… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction Predicting the performance (yield or other integrative traits) of cultivated plants
is complex because it involves not only estimating the genetic value of the candidates to …

[HTML][HTML] Validating genomic predictions for economic traits in purebred US dairy heifers

S Toghiani, PM VanRaden, DJ Null, AM Miles… - Journal of Dairy …, 2024 - Elsevier
Most genotypes in the National Cooperator Database now originate from cows, but most
previous studies validating genomic predictions have primarily focused on bulls. This study …

Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat

D Shahi, J Guo, S Pradhan, J Khan, M Avci, N Khan… - BMC genomics, 2022 - Springer
Background Recently genomic selection (GS) has emerged as an important tool for plant
breeders to select superior genotypes. Multi-trait (MT) prediction model provides an …

Crop HTP Technologies: Applications and Prospects

S He, X Li, M Chen, X Xu, F Tang, T Gong, M Xu… - Agriculture, 2024 - mdpi.com
In order to rapidly breed high-quality varieties, an increasing number of plant researchers
have identified the functions of a large number of genes, but there is a serious lack of …

A comparison of three machine learning methods for multivariate genomic prediction using the sparse kernels method (SKM) library

OA Montesinos-López, A Montesinos-López… - Genes, 2022 - mdpi.com
Genomic selection (GS) changed the way plant breeders select genotypes. GS takes
advantage of phenotypic and genotypic information to training a statistical machine learning …

Multi‐trait genomic selection improves the prediction accuracy of end‐use quality traits in hard winter wheat

HS Gill, N Brar, J Halder, C Hall… - The Plant …, 2023 - Wiley Online Library
Improvement of end‐use quality remains one of the most important goals in hard winter
wheat (HWW) breeding. Nevertheless, the evaluation of end‐use quality traits is confined to …