Deng Peng, Wang Yiran, Hu Fengcheng, Yu Hang, Liang Yangling, Zhang Haolin, Wang Ting, Zhou Yuhao, Li Zhouqi
College of Forestry, Northwest A&F University, Yangling, China.
Lveyang County Forest Tree Seedling Workstation, Forestry Bureau of Lveyang County, Lveyang, China.
Front Plant Sci. 2022 Apr 8;13:832821. doi: 10.3389/fpls.2022.832821. eCollection 2022.
Oliver has been used extensively in many fields. To satisfy increasing demand, great efforts must be made to further improve its traits. However, limited information is available on these traits, which is a factor that restricts their improvement. To improve traits directionally, nine clones were assigned to six sites to analyze the effect of different variation sources (the genotype, site, and genotype × environment interaction) on the phenotypic trait. In addition, a mixed linear model was used to assess the contribution of variations. In general, for most traits, the site effect accounted for a larger proportion of the variance, followed by the genotype and genotype × environment interaction effects. All the studied genotypes and sites had a significant effect, indicating that they could be improved by selecting preferable genotypes or cultivation areas, respectively. Interestingly, growth traits or economic traits could be improved simultaneously. Trait performance and stability are necessary when selecting genotypes. Moreover, the discriminating ability of genotypes should be considered in selecting cultivation areas. Annual mean temperature and annual sunshine duration proved to be crucial factors that affected the traits. They were correlated positively with economic traits and leaf yield and correlated negatively with growth traits. These findings contributed to selecting a wider range of cultivation areas. Regarding the genotype × environment interaction effect, there were significant differences only in the gutta-percha content, the total number of leaves, and the chlorogenic acid content. These traits could also be improved by choosing appropriate genotypes for the local environment. The research has provided preliminary data on the main factors that affect the traits of and offered solutions for trait improvement. This information could be a reference for the trait improvement of other plants.
奥利弗已在许多领域得到广泛应用。为满足不断增长的需求，必须做出巨大努力来进一步改善其特性。然而，关于这些特性的信息有限，这是限制其改良的一个因素。为了定向改良特性，将九个克隆分配到六个地点，以分析不同变异来源（基因型、地点和基因型×环境互作）对表型性状的影响。此外，使用混合线性模型来评估变异的贡献。总体而言，对于大多数性状，地点效应在方差中占比更大，其次是基因型和基因型×环境互作效应。所有研究的基因型和地点都有显著影响，这表明它们可以分别通过选择优良基因型或种植区域来改良。有趣的是，生长性状或经济性状可以同时得到改善。选择基因型时，性状表现和稳定性是必要的。此外，在选择种植区域时应考虑基因型的鉴别能力。年平均温度和年日照时长被证明是影响这些性状的关键因素。它们与经济性状和叶片产量呈正相关，与生长性状呈负相关。这些发现有助于选择更广泛的种植区域。关于基因型×环境互作效应，仅在杜仲胶含量、叶片总数和绿原酸含量上存在显著差异。通过为当地环境选择合适的基因型，这些性状也可以得到改善。该研究提供了影响奥利弗性状的主要因素的初步数据，并为性状改良提供了解决方案。这些信息可为其他植物的性状改良提供参考。
