Field experiment of F1 generation and superior families selection of Dendrobium officinale.
- Author:
Xiao-Ling ZHANG
1
;
Jin-Ping SI
1
;
Ling-Shang WU
1
;
Ying-Ying GUO
1
;
Jie YU
2
;
Lin-Hua WANG
3
Author Information
1. Nurturing Station for State Key Laboratory of Subtropical Silviculture, Zhejiang Agricultural and Forestry University, Zhejiang Provincial Strategic Alliance for Technical Innovation in Industry of Dendrobium officinale, Lin'an 311300, China.
2. Fenghua Jiuwei Shengcaotang Professinal Cooperatives of Dendrobium officinale, Fenghua 315500, China.
3. Zhejiang Jiacheng Biological Engineering Co., Ltd., Yiwu 322022, China.
- Publication Type:Journal Article
- MeSH:
Biomass;
Dendrobium;
genetics;
growth & development;
Hybridization, Genetic;
Plant Leaves;
genetics;
growth & development;
Plant Stems;
genetics;
growth & development;
Quantitative Trait Loci
- From:
China Journal of Chinese Materia Medica
2013;38(22):3861-3865
- CountryChina
- Language:Chinese
-
Abstract:
Based on randomized block design of experiment, agronomic traits and yields of 14 F1 generations of Dendrobium officinale were determined. The results showed that the differences in agronomic traits and yields among families were significant, and the hybrid vigor was obvious. Families of 6b x 2a, 9 x 66 and 78 x 69 were selected with the remarkable superiority of yields, agronomic traits and product customization. Correlation analysis between agronomic traits and yields showed that plant height, stem diameter, leaf number, blade length and blade width were all significantly correlated with biological yields and economic yields. Among which, stem diameter, leaf number and blade length were the most significant, and an optimal linear regression model could be established. When the number of shoots was fewer than 4.5, both biological yields and economic yields increased with the increasing number of shoots, but it could not much affect yields when the number of shoots was larger than 4.5. Shoots number, stem diameter and leaf index were basic stability when compared biennial traits to annual, which could be used for early selection.
