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 …
Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application
Genotype by environment interaction (G× E) refers to the comparative performances of
genotypes differing among environments, representing differences in genotype rankings or …
genotypes differing among environments, representing differences in genotype rankings or …
Yield stability of maize hybrids evaluated in multi‐environment trials in Yunnan, China
XM Fan, MS Kang, H Chen, Y Zhang, J Tan… - Agronomy …, 2007 - Wiley Online Library
Stable performance of maize (Zea mays L.) hybrids in multi‐environment trials (MET) is
important. The objectives of this investigation were (i) to evaluate grain yield stability of 13 …
important. The objectives of this investigation were (i) to evaluate grain yield stability of 13 …
[PDF][PDF] AMMI and GGE Biplot for genotype× environment interaction: a medoid–based hierarchical cluster analysis approach for high–dimensional data
The presence of genotype-environment interaction (GEI) influences production making the
selection of cultivars in a complex process. The two most used methods to analyze GEI and …
selection of cultivars in a complex process. The two most used methods to analyze GEI and …
Genotype× environment interaction of yield and grain quality traits of maize hybrids in Greece
The interaction of genotype by the environment is very common in multi-environment trials of
maize hybrids. This study evaluates the quantity and the quality of grain production and the …
maize hybrids. This study evaluates the quantity and the quality of grain production and the …
Enviromic prediction enables the characterization and map** of Eucalyptus globulus Labill breeding zones
Genotype-environment interaction is pervasive in forest genetics. Delineation of spatial
breeding zones (BZs) is fundamental for accommodating genotype-environment interaction …
breeding zones (BZs) is fundamental for accommodating genotype-environment interaction …
Deciphering Genotype-by- Environment Interaction for Targeting Test Environments and Rust Resistant Genotypes in Field Pea (Pisum sativum L.)
Rust caused by Uromyces viciae-fabae is a major biotic constraint to field pea (Pisum
sativum L.) cultivation worldwide. Deployment of host-pathogen interaction and resistant …
sativum L.) cultivation worldwide. Deployment of host-pathogen interaction and resistant …
Genotypic variability for drought tolerance-related morpho-physiological traits among indigenous rice landraces of Jeypore tract of Odisha, India
Assessment of genotypic variability in germplasm under different water stress conditions is
one of the most challenging objectives in crop breeding programs. We evaluated responses …
one of the most challenging objectives in crop breeding programs. We evaluated responses …
Delineation of Genotype-by-Environment interactions for identification and validation of resistant genotypes in mungbean to root-knot nematode (Meloidogyne …
Susceptibility to root-knot nematodes (Meloidogyne spp.) is one of the major factors limiting
mungbean production in South and South-East Asia. Host-pest-environment interaction in …
mungbean production in South and South-East Asia. Host-pest-environment interaction in …
Soybean maturity groups, environments, and their interaction define mega‐environments for seed composition in Argentina
Argentina is the largest soybean [Glycine max (L.) Merrill] meal and oil exporter in the world,
with crops covering a 23° to 39° S latitude range, allowing the presence of genotypes from …
with crops covering a 23° to 39° S latitude range, allowing the presence of genotypes from …