Polygenic Genetic Analysis of Principal Genes for Yield Traits in Land Cotton DOI Creative Commons
Xiaoyan Ma, Wei-Feng Guo, Liangrong He

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2749 - 2749

Published: Nov. 20, 2024

Objective: Yield traits are crucial for cotton breeding. Analyzing the yield of terrestrial and exploring their genetic mechanisms through a primary gene + multigene hybrid model provide theoretical basis selecting high-quality varieties identifying associated molecular markers. Methods: Completing construction six populations (P1, P2, F1, F2, B1, B2) using Xinluzhong 37 as female parent 51 male parent. Six were assessed: single boll weight, number per plant, lint seed percentage, index. Data tested normal distribution, inheritance patterns analyzed combined polygenic analysis. Results: The coefficients variation ranged from 37.368% to 53.905%, 33.335% 58.524%, 34.132% 57.686%, 8.721% 12.808%, 1.842% 6.283%, 8.783% 12.580%, respectively. These displayed either or skewed distributions. optimal weight index was PG-ADI, while MX2-ADI-AD best fit plant percentage. For 2MG-ADI optimal. heritability 29.58%; main 25.19%, with 0% polygenes; 23.47%. genes 15.38%, percentage showing 63.25% 0.08% polygenes, 45.93% due polygenes. Overall, predominantly polygenic, largely controlled by inheritance. also primarily governed genes.

Language: Английский

Segregation distortion and linkage analysis in F2 populations of pumpkin (C.Moschata Duch) DOI

Zixia Zhang,

Yanfang Jiang,

Hailong Zhu

et al.

Plant Gene, Journal Year: 2025, Volume and Issue: unknown, P. 100508 - 100508

Published: April 1, 2025

Language: Английский

Citations

0
Polygenic Genetic Analysis of Principal Genes for Yield Traits in Land Cotton DOI Creative Commons
Xiaoyan Ma, Wei-Feng Guo, Liangrong He

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2749 - 2749

Published: Nov. 20, 2024

Objective: Yield traits are crucial for cotton breeding. Analyzing the yield of terrestrial and exploring their genetic mechanisms through a primary gene + multigene hybrid model provide theoretical basis selecting high-quality varieties identifying associated molecular markers. Methods: Completing construction six populations (P1, P2, F1, F2, B1, B2) using Xinluzhong 37 as female parent 51 male parent. Six were assessed: single boll weight, number per plant, lint seed percentage, index. Data tested normal distribution, inheritance patterns analyzed combined polygenic analysis. Results: The coefficients variation ranged from 37.368% to 53.905%, 33.335% 58.524%, 34.132% 57.686%, 8.721% 12.808%, 1.842% 6.283%, 8.783% 12.580%, respectively. These displayed either or skewed distributions. optimal weight index was PG-ADI, while MX2-ADI-AD best fit plant percentage. For 2MG-ADI optimal. heritability 29.58%; main 25.19%, with 0% polygenes; 23.47%. genes 15.38%, percentage showing 63.25% 0.08% polygenes, 45.93% due polygenes. Overall, predominantly polygenic, largely controlled by inheritance. also primarily governed genes.

Language: Английский

Citations

0