Designing future crops: genomics-assisted breeding comes of age
Over the past decade, genomics-assisted breeding (GAB) has been instrumental in
harnessing the potential of modern genome resources and characterizing and exploiting …
harnessing the potential of modern genome resources and characterizing and exploiting …
Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …
followed by predictive breeding using statistical models for quantitative traits constructed …
Genomic investigation of 18,421 lines reveals the genetic architecture of rice
Understanding how numerous quantitative trait loci (QTL) shape phenotypic variation is an
important question in genetics. To address this, we established a permanent population of …
important question in genetics. To address this, we established a permanent population of …
A compressed variance component mixed model for detecting QTNs and QTN-by-environment and QTN-by-QTN interactions in genome-wide association studies
M Li, YW Zhang, ZC Zhang, Y **ang, MH Liu, YH Zhou… - Molecular Plant, 2022 - cell.com
Although genome-wide association studies are widely used to mine genes for quantitative
traits, the effects to be estimated are confounded, and the methodologies for detecting …
traits, the effects to be estimated are confounded, and the methodologies for detecting …
Breeding crops for drought-affected environments and improved climate resilience
Breeding climate-resilient crops with improved levels of abiotic and biotic stress resistance
as a response to climate change presents both opportunities and challenges. Applying the …
as a response to climate change presents both opportunities and challenges. Applying the …
Gene-by-environment interactions in plants: Molecular mechanisms, environmental drivers, and adaptive plasticity
Plants demonstrate a broad range of responses to environmental shifts. One of the most
remarkable responses is plasticity, which is the ability of a single plant genotype to produce …
remarkable responses is plasticity, which is the ability of a single plant genotype to produce …
[HTML][HTML] Leveraging data from the Genomes-to-Fields Initiative to investigate genotype-by-environment interactions in maize in North America
Genotype-by-environment (G× E) interactions can significantly affect crop performance and
stability. Investigating G× E requires extensive data sets with diverse cultivars tested over …
stability. Investigating G× E requires extensive data sets with diverse cultivars tested over …
Machine learning for predicting phenotype from genotype and environment
Predicting phenotype with genomic and environmental information is critically needed and
challenging. Machine learning methods have emerged as powerful tools to make accurate …
challenging. Machine learning methods have emerged as powerful tools to make accurate …
[PDF][PDF] Environment-specific genomic prediction ability in maize using environmental covariates depends on environmental similarity to training data
AR Rogers, JB Holland - G3, 2022 - academic.oup.com
Technology advances have made possible the collection of a wealth of genomic,
environmental, and phenotypic data for use in plant breeding. Incorporation of …
environmental, and phenotypic data for use in plant breeding. Incorporation of …
Phenotypic plasticity in plant height shaped by interaction between genetic loci and diurnal temperature range
Phenotypic plasticity is observed widely in plants and often studied with reaction norms for
adult plant or end‐of‐season traits. Uncovering genetic, environmental and developmental …
adult plant or end‐of‐season traits. Uncovering genetic, environmental and developmental …