Crop breeding for a changing climate in the Pannonian region: towards integration of modern phenotyping tools

A Kondić-Špika, S Mikić, M Mirosavljević… - Journal of …, 2022 - academic.oup.com
Abstract The Pannonian Plain, as the most productive region of Southeast Europe, has a
long tradition of agronomic production as well as agronomic research and plant breeding …

Genomic selection for end-use quality and processing traits in soft white winter wheat breeding program with machine and deep learning models

KS Sandhu, M Aoun, CF Morris, AH Carter - Biology, 2021 - mdpi.com
Simple Summary Wheat (Triticum aestivum L.) breeding programs mainly focus on
improving grain yield, biotic and abiotic stress tolerance, and end-use quality traits. End-use …

Predictor bias in genomic and phenomic selection

HG Dallinger, F Löschenberger, H Bistrich… - Theoretical and Applied …, 2023 - Springer
Key message NIRS of wheat grains as phenomic predictors for grain yield show inflated
prediction ability and are biased toward grain protein content. Abstract Estimating the …

Developing core marker sets for effective genomic-assisted selection in wheat and barley breeding programs

G Ishikawa, H Sakai, N Mizuno, E Solovieva… - Breeding …, 2022 - jstage.jst.go.jp
Wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.) are widely cultivated
temperate crops. In breeding programs with these crops in Japan, effective genomic …

[HTML][HTML] Assessment of cold tolerance traits of Wheat cultivars using RGB images

MH Lee, J Baek, KM Kim, KH Kim… - Korean Society of …, 2022 - koreabreedjournal.org
Low-temperature damage at the seedling stage is one of the most significant natural
obstacles to wheat's growth. In domestic wheat breeding programs, the selection of cold …

Evaluation of Genomic Selection Methods for Wheat Quality Traits in Biparental Populations Indicates Inclination towards Parsimonious Solutions

I Plavšin, J Gunjača, V Galić, D Novoselović - Agronomy, 2022 - mdpi.com
Breeding for end-use quality traits is often challenging since their assessment requires
larger quantities of grain and flour samples, which are usually not available early in the …

Analysis of Genomic Selection Methodology in Wheat Using Machine Learning and Deep Learning

V Sinha, S Desai - … on Information and Communication Technology for …, 2023 - Springer
Genomic Selection (GS) is instrumental in advancing the breeding cycles, increasing
genetic gains and identifying traits that can help in improving qualities like disease …

Genomic Selection-Driven Wheat Breeding for Superior Genetic Gains: Status Quo and Future Steps

K Krishna, S Chavan, K Jagadeesh, T Niranjan… - Advances in Wheat …, 2024 - Springer
Conventional breeding approaches rely on phenotypic selection, which is a crucial phase in
crop breeding. Breeders have been able to make use of molecular markers to aid in …

From Data to Performance: Leveraging Sparse Testing with Genomic Selection for Wheat (Triticum aestivum L.) Breeding

JCI Ignacio - 2023 - search.proquest.com
Breeders have increasingly adopted genomic selection (GS) and sparse testing as methods
to improve genetic gains and reduce field testing costs in early-stage trials. However, the …

[PDF][PDF] CHAPTER FIVE: Genomic Selection for End-Use Quality and Processing Traits in Soft White Winter Wheat Breeding Program with Machine and Deep Learning …

KS Sandhu, M Aoun, CF Morris… - … GENETIC GAIN IN A …, 2021 - researchgate.net
Breeding for grain yield, biotic and abiotic stress resistance, and end-use quality are
important goals of wheat breeding programs. Screening for end-use quality traits is usually …