Evidence map›Paper›PMID 40869989›Full record

ArticleGenes2025

Analysis of the Genetic Mechanism of Yield-Related Traits of Maize in Cold Regions.

Chao Gao, Zimeng Li, Guogang Zheng, Hong Di, Lin Zhang, Zhenhua Wang, Ling Dong

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Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chao GaoCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Zimeng LiCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Guogang ZhengCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Hong DiCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Lin ZhangCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Zhenhua WangCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Ling DongCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaize is an important food crop in cold regions, especially in Northeast China. However, its short growth period and low-temperature stress pose challenges to the breeding of high-yield hybrids. With climate warming, the maize planting area continues to expand to high latitudes. Research on cold-region maize is of great significance to ensure food security and sustainable agricultural development. However, most of the current maize research is concentrated in temperate and tropical regions, and there are few studies on cold-region maize.

methodsBased on this, this study selected some representative cold-region maize materials and materials whose adaptability has not yet been verified, and used a semi-diallel hybrid design for hybridization to determine the general combining ability (GCA) and specific combining ability (SCA) to screen out excellent breeding materials suitable for cold regions. Field experiments were carried out under four different cold environments, and 55 hybrid progenies and their parents were evaluated. The double allele hybridization analysis based on the Griffing method 2 (model 1) showed that the specific combining ability (SCA) and general combining ability (GCA) effects of each trait were significant.

resultsThe GCA mean square of all traits except yield and number of grains per row was greater than the SCA mean square, indicating that additive gene effects were dominant and genetic improvement through selective breeding was feasible. Hayman plot analysis under four environments showed that yield, ear length, number of grains per row, water content, and plant height were mainly controlled by superdominant genes, while stem thickness, number of nodes, and ear position were controlled by some dominant genes.

conclusionsParent P1 contained more recessive genes in yield traits, but more dominant genes in number of grains per row, number of nodes, and ear position; P3 contained more dominant genes in yield and water content, but more recessive genes in number of nodes and ear position; P7 contained more recessive genes in most traits; and P9 contained more dominant genes in most traits. P9 and P6 represent excellent parental germplasm, among which the hybrid combinations P1 × P9, P2 × P5, P3 × P10, P4 × P6, P5 × P8, P6 × P9, P7 × P10, and P8 × P10 all show hybrid vigor exceeding that of their parents and have high breeding value.

Indexed as

Zea maysChinaCold TemperatureHybridization, GeneticPhenotypePlant BreedingQuantitative Trait, HeritableQuantitative Trait Lociagronomycombining abilitydiallel crossgeneticmaize

Identifiers

PMID40869989
PMCPMC12385458

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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 OpenQuestion graph.