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中国湖南省南部一个代表性果园集群中的树木选择:一种综合评价方法。

Tree Selection of in a Representative Orchard Cluster Within Southern Hunan Province, China: A Comprehensive Evaluation Approach.

作者信息

Liu Juntao, Yu Zhexiu, Li Xihui, Zhou Ling, Wang Ruihui, Zhang Weihua

机构信息

School of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.

Key Laboratory of Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, Beijing 100083, China.

出版信息

Plants (Basel). 2025 Jul 30;14(15):2351. doi: 10.3390/plants14152351.

DOI:10.3390/plants14152351
PMID:40805700
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12349476/
Abstract

With the objective of identifying superior trees grounded in phenotypic and agronomic traits, this study sought to develop and implement a comprehensive evaluation method which would provide a practical foundation for future clonal breeding initiatives. Using the propagated from seedling forests grown in the Suxian District of Chenzhou City in southern Hunan Province, we conducted pre-selection, primary selection, and re-selection of forest stands and took the nine trait indices of single-plant fruiting quantity, single-plant fruit yield, disease and pest resistance, fruit ripening consistency, fruit aggregation, fresh fruit single-fruit weight, fresh fruit seed rate, dry seed kernel rate, and seed kernel oil content rate as the optimal evaluation indexes and carried out cluster analysis and a comprehensive evaluation in order to establish a comprehensive evaluation system for superior trees. The results demonstrated that a three-stage selection process-consisting of pre-selection, primary selection, and re-selection-was conducted using a comprehensive analytical approach. The pre-selection phase relied primarily on sensory evaluation criteria, including fruit count per plant, tree size, tree morphology, and fruit clustering characteristics. Through this rigorous screening process, 60 elite plants were selected. The primary selection was based on phenotypic traits, including single-plant fruit yield, pest and disease resistance, and uniformity of fruit ripening. From this stage, 36 plants were selected. Twenty plants were then selected for re-selection based on key performance indicators, such as fresh fruit weight, fresh fruit seed yield, dry seed kernel yield, and oil content of the seed kernel. Then the re-selected optimal trees were clustered and analyzed into three classes, with 10 plants in class I, 7 plants in class II, and 3 plants in class III. In class I, the top three superior plants exhibited outstanding performance across key traits: their fresh fruit weight per fruit, fresh fruit seed yield, dry seed yield, and seed kernel oil content reached 41.61 g, 42.80%, 62.42%, and 57.72%, respectively. Compared with other groups, these figures showed significant advantages: 1.17, 1.09, 1.12, and 1.02 times the average values of the 20 reselected superior trees; 1.22, 1.19, 1.20, and 1.08 times those of the 36 primary-selected superior trees; and 1.24, 1.25, 1.26, and 1.19 times those of the 60 pre-selected trees. Fruits counts per plant and the number of fruits produced per plant of the best three plants in class I were 885 and 23.38 kg, respectively, which were 1.13 and 1.18 times higher than the average of 20 re-selected superior trees, 1.25 and 1.30 times higher than the average of 36 first-selected superior trees, and 1.51 and 1.58 times higher than the average of 60 pre-selected superior trees. Class I superior trees, especially the top three genotypes, are suitable for use as mother trees for scion collection in grafting. The findings of this study provide a crucial foundation for developing superior clonal varieties of through selective breeding.

摘要

为了筛选出基于表型和农艺性状的优良树木,本研究旨在开发并实施一种综合评价方法,为未来的无性系育种计划提供实践基础。利用从湖南省郴州市苏仙区人工林中采集的种子繁殖的植株,我们对林分进行了预选、初选和复选,并选取单株结果量、单株果实产量、病虫害抗性、果实成熟一致性、果实着生情况、鲜果单果重、鲜果出籽率、干籽仁率、籽仁含油率9个性状指标作为最优评价指标,进行聚类分析和综合评价,以建立优良树木综合评价体系。结果表明,采用综合分析方法进行了预选、初选和复选三个阶段的选择。预选阶段主要依据感官评价标准,包括单株结果数、树体大小、树形和果实着生特性。通过严格的筛选过程,选出了60株优良单株。初选基于表型性状,包括单株果实产量、病虫害抗性和果实成熟一致性。从这个阶段中,选出了36株植株。然后根据关键性能指标,如鲜果重、鲜果种子产量、干籽仁产量和籽仁含油率,选择了20株进行复选。然后将复选后的最优树木聚类分析为三类,I类有10株,II类有7株,III类有3株。在I类中,前三株优良植株在关键性状上表现突出:其单果鲜果重、鲜果种子产量、干籽产量和籽仁含油率分别达到41.61g、42.80%、62.42%和57.72%。与其他组相比,这些数据显示出显著优势:是20株复选优良树木平均值的1.17、1.09、1.12和1.02倍;是36株初选优良树木平均值的1.22、1.19、1.20和1.08倍;是60株预选树木平均值的1.24、1.25、1.26和1.19倍。I类中最优的三株植株单株结果数和单株产果量分别为885个和23.38kg,分别比20株复选优良树木的平均值高1.13和1.18倍,比36株初选优良树木的平均值高1.25和1.30倍,比60株预选优良树木的平均值高1.51和1.58倍。I类优良树木,特别是前三株基因型,适合作为嫁接采穗母树。本研究结果为通过选择育种培育优良无性系品种提供了关键基础。

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