Genetic Analyses of Flower, Fruit, and Stem Traits of Intergeneric Hybrids Between ‘Honghuagqinglong’ and ‘Heilong’ Pitayas

Pitaya is renowned for its delicious taste, high nutritional value, and economic as well as ornamental appeal. Breeding new pitaya varieties can boost economic returns by appealing to consumers with diverse morphological traits. However, the genetic basis underlying key traits in intergeneric hybrids of pitaya has yet to be fully understood. This study investigates the genetic dynamics in flower, fruit, and stem traits, including segregation patterns and a mixed inheritance model for major and polygenic traits, in an intergeneric hybridization between 'Honghuagqinglong' (HHQL) (<i>Hylocereus stenopterus</i>) and 'Heilong' (HL) (<i>Selenicereus grandiflorus</i>). The study identified normal or skewed, normal distribution patterns in seven floral, fifteen fruit, and five stem traits, indicating their quantitative nature governed by multiple genes. Specifically, flower size and color exhibited a hereditary bias towards 'HL' characteristics, while 'HHQL' significantly influenced the coloration of fruit peel and pulp. Fruit weight and total soluble solids (TSS) content decreased, whereas stem traits exhibited broader and thicker dimensions with fewer thorns. This study offers valuable insights into genetic variation and the influence of major genes on flower, fruit, and stem traits between 'HHQL' and 'HL' intergeneric hybrids, providing a useful reference for parental selection in pitaya breeding programs.

Authors

Institutions

Publication Details

Journal
Plants
Published
2024-12-19
DOI
https://doi.org/10.3390/plants13243546
Citations
1
Primary Topic
Botanical Research and Applications
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic Analyses of Flower, Fruit, and Stem Traits of Intergeneric Hybrids Between ‘Honghuagqinglong’ and ‘Heilong’ Pitayas

Xuewu Ji, Imran Khan, Guibing Hu, Yonghua Qin et al.
1 citations
Plants
Botanical Research and Applications
0.35
article

Genetic Analyses of Flower, Fruit, and Stem Traits of Intergeneric Hybrids Between ‘Honghuagqinglong’ and ‘Heilong’ Pitayas

Xuewu Ji, Imran Khan, Guibing Hu, Yonghua Qin, Jietang Zhao, Irfan Ali Sabir, Tiantian Zhang, Jiayi Chen, Yu Ding, Zhike Zhang, Guohua Huang, Xinyue Pu
article en
1 citations

Abstract

Pitaya is renowned for its delicious taste, high nutritional value, and economic as well as ornamental appeal. Breeding new pitaya varieties can boost economic returns by appealing to consumers with diverse morphological traits. However, the genetic basis underlying key traits in intergeneric hybrids of pitaya has yet to be fully understood. This study investigates the genetic dynamics in flower, fruit, and stem traits, including segregation patterns and a mixed inheritance model for major and polygenic traits, in an intergeneric hybridization between 'Honghuagqinglong' (HHQL) (<i>Hylocereus stenopterus</i>) and 'Heilong' (HL) (<i>Selenicereus grandiflorus</i>). The study identified normal or skewed, normal distribution patterns in seven floral, fifteen fruit, and five stem traits, indicating their quantitative nature governed by multiple genes. Specifically, flower size and color exhibited a hereditary bias towards 'HL' characteristics, while 'HHQL' significantly influenced the coloration of fruit peel and pulp. Fruit weight and total soluble solids (TSS) content decreased, whereas stem traits exhibited broader and thicker dimensions with fewer thorns. This study offers valuable insights into genetic variation and the influence of major genes on flower, fruit, and stem traits between 'HHQL' and 'HL' intergeneric hybrids, providing a useful reference for parental selection in pitaya breeding programs.

PlantsVol. 13(24)
South China Agricultural University (CN), Ministry of Agriculture and Rural Affairs (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 33%
Botanical Research and Applications
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.