Evidence map›Paper›PMID 39409660›Full record

ReviewPlants (Basel, Switzerland)2024

Hybrid Prediction in Horticulture Crop Breeding: Progress and Challenges.

Ce Liu, Shengli Du, Aimin Wei, Zhihui Cheng, Huanwen Meng, Yike Han

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ce LiuCucumber Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin 300192, China.ORCID 0000-0003-0425-3120
Shengli DuCucumber Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin 300192, China.
Aimin WeiCucumber Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin 300192, China.
Zhihui ChengCollege of Horticulture, Northwest A&F University, Yangling 712100, China.
Huanwen MengCollege of Horticulture, Northwest A&F University, Yangling 712100, China.
Yike HanCucumber Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin 300192, China.

Funding

the National Key Research and Development Program of China 2023YFD1201503
6 · The paper itself

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.

Indexed as

genomic predictionheterosishybrid predictionmarker-assisted selection

Identifiers

PMID39409660
PMCPMC11479247

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.