From markers to genome-based breeding in wheat

A Rasheed, X Xia - Theoretical and Applied Genetics, 2019 - Springer
Key message Recent technological advances in wheat genomics provide new opportunities
to uncover genetic variation in traits of breeding interest and enable genome-based …

Potential of wild relatives of wheat: ideal genetic resources for future breeding programs

A Pour-Aboughadareh, F Kianersi, P Poczai… - Agronomy, 2021 - mdpi.com
Among cereal crops, wheat has been identified as a major source for human food
consumption. Wheat breeders require access to new genetic diversity resources to satisfy …

A deep convolutional neural network approach for predicting phenotypes from genotypes

W Ma, Z Qiu, J Song, J Li, Q Cheng, J Zhai, C Ma - Planta, 2018 - Springer
Main conclusion Deep learning is a promising technology to accurately select individuals
with high phenotypic values based on genotypic data. Abstract Genomic selection (GS) is a …

Distinct genetic architectures for phenotype means and plasticities in Zea mays

A Kusmec, S Srinivasan, D Nettleton, PS Schnable - Nature plants, 2017 - nature.com
Phenotypic plasticity describes the phenotypic variation of a trait when a genotype is
exposed to different environments. Understanding the genetic control of phenotypic plasticity …

Wheat breeding for quality: A historical review

AM Kiszonas, CF Morris - Cereal Chemistry, 2018 - Wiley Online Library
Background and objectives Wheat (Triticum spp. L.) is a leading cereal contributing to the
nourishment of humankind. Since its domestication ca. 12,000 years ago, humans have …

Accuracy of genomic selection for grain yield and agronomic traits in soft red winter wheat

DN Lozada, RE Mason, JM Sarinelli, G Brown-Guedira - BMC genetics, 2019 - Springer
Background Genomic selection has the potential to increase genetic gains by using
molecular markers as predictors of breeding values of individuals. This study evaluated the …

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 …

Genomic selection and genome-wide association studies for grain protein content stability in a nested association mapping population of wheat

KS Sandhu, PD Mihalyov, MJ Lewien, MO Pumphrey… - Agronomy, 2021 - mdpi.com
Grain protein content (GPC) is controlled by complex genetic systems and their interactions
and is an important quality determinant for hard spring wheat as it has a positive effect on …

Detection of high-performance wheat genotypes and genetic stability to determine complex interplay between genotypes and environments

I Al-Ashkar, M Sallam, KF Almutairi, M Shady, A Ibrahim… - Agronomy, 2023 - mdpi.com
Abiotic stress decreases crop production worldwide. In order to recommend suitable
genotypes for cultivation under water deficit and heat stress conditions, an overall …

Use of genomic selection in breeding rice (Oryza sativa L.) for resistance to rice blast (Magnaporthe oryzae)

M Huang, EG Balimponya, EM Mgonja, LK McHale… - Molecular …, 2019 - Springer
Rice blast (RB), caused by the fungal pathogen Magnaporthe oryzae, is a major disease in
rice (Oryzae sativa L.) with resistance controlled by major and minor genes. Genomic …