The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …

Climate change gives rise to numerous environmental stresses, including soil salinity.
Salinity/salt stress is the second biggest abiotic factor affecting agricultural productivity …

This book is open access under a CC BY 4.0 license This open access book brings together
the latest genome base prediction models currently being used by statisticians, breeders …

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 …

Although hybrid crop varieties are among the most popular agricultural innovations, the
rationale for hybrid crop breeding is sometimes misunderstood. Hybrid breeding is slower …

Fusarium head blight is among the most extensively studied fungal diseases of wheat and
other small grain cereals due to its impact on yield and quality, but particularly due to its …

With marker and phenotype information from observed populations, genomic selection (GS)
can be used to establish associations between markers and phenotypes. It aims to use …

Genomic selection can be applied prior to phenoty**, enabling shorter breeding cycles
and greater rates of genetic gain relative to phenotypic selection. Traits measured using …

Accurate genetic prediction of complex traits can facilitate disease screening, improve early
intervention, and aid in the development of personalized medicine. Genetic prediction of …

Chickpea is one of the most economically important food legumes, and a significant source
of proteins. It is cultivated in more than 50 countries across Asia, Africa, Europe, Australia …