Drought stress impacts on plants and different approaches to alleviate its adverse effects
Drought stress, being the inevitable factor that exists in various environments without
recognizing borders and no clear warning thereby hampering plant biomass production …
recognizing borders and no clear warning thereby hampering plant biomass production …
Genomic selection in plant breeding: methods, models, and perspectives
Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates
the breeding cycle. In this review, we discuss the history, principles, and basis of GS and …
the breeding cycle. In this review, we discuss the history, principles, and basis of GS and …
A review of deep learning applications for genomic selection
OA Montesinos-López, A Montesinos-López… - BMC genomics, 2021 - Springer
Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …
methods have been proposed including the standard additive genetic effect model for which …
Genomics-informed prebreeding unlocks the diversity in genebanks for wheat improvement
The great efforts spent in the maintenance of past diversity in genebanks are rationalized by
the potential role of plant genetic resources (PGR) in future crop improvement—a concept …
the potential role of plant genetic resources (PGR) in future crop improvement—a concept …
Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics
P Juliana, J Poland, J Huerta-Espino, S Shrestha… - Nature …, 2019 - nature.com
Bread wheat improvement using genomic tools is essential for accelerating trait genetic
gains. Here we report the genomic predictabilities of 35 key traits and demonstrate the …
gains. Here we report the genomic predictabilities of 35 key traits and demonstrate the …
Genomic selection: A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops
Since the inception of the theory and conceptual framework of genomic selection (GS),
extensive research has been done on evaluating its efficiency for utilization in crop …
extensive research has been done on evaluating its efficiency for utilization in crop …
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
The pangenome of hexaploid bread wheat
There is an increasing understanding that variation in gene presence–absence plays an
important role in the heritability of agronomic traits; however, there have been relatively few …
important role in the heritability of agronomic traits; however, there have been relatively few …
Asymmetric subgenome selection and cis-regulatory divergence during cotton domestication
Comparative population genomics offers an excellent opportunity for unraveling the genetic
history of crop domestication. Upland cotton (Gossypium hirsutum) has long been an …
history of crop domestication. Upland cotton (Gossypium hirsutum) has long been an …
Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and …
Genomic Selection (GS) is a new breeding method in which genome-wide markers are used
to predict the breeding value of individuals in a breeding population. GS has been shown to …
to predict the breeding value of individuals in a breeding population. GS has been shown to …