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Hybrid Prediction in Horticulture Crop Breeding: Progress and Challenges. | LitMetric

Hybrid Prediction in Horticulture Crop Breeding: Progress and Challenges.

Plants (Basel)

Cucumber Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin 300192, China.

Published: October 2024

AI Article Synopsis

  • The increasing population and diverse market needs are pushing breeders to enhance the yield and quality of horticultural crops, making efficient hybrid development crucial.
  • Heterosis, a key concept in plant breeding, allows for the creation of superior hybrids, but the challenge lies in efficiently selecting the best candidates from numerous potential hybrids.
  • The article reviews advancements in hybrid prediction methods, discusses the limitations of existing predictors, and suggests combining phenomics with genomic technologies to improve prediction accuracy in breeding programs.

Article Abstract

In the context of rapidly increasing population and diversified market demands, the steady improvement of yield and quality in horticultural crops has become an urgent challenge that modern breeding efforts must tackle. Heterosis, a pivotal theoretical foundation for plant breeding, facilitates the creation of superior hybrids through crossbreeding and selection among a variety of parents. However, the vast number of potential hybrids presents a significant challenge for breeders in efficiently predicting and selecting the most promising candidates. The development and refinement of effective hybrid prediction methods have long been central to research in this field. This article systematically reviews the advancements in hybrid prediction for horticultural crops, including the roles of marker-assisted breeding and genomic prediction in phenotypic forecasting. It also underscores the limitations of some predictors, like genetic distance, which do not consistently offer reliable hybrid predictions. Looking ahead, it explores the integration of phenomics with genomic prediction technologies as a means to elevate prediction accuracy within actual breeding programs.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11479247PMC
http://dx.doi.org/10.3390/plants13192790DOI Listing

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