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利用多变量技术进行遗传特征分析和数量性状关系研究,揭示了番茄种质资源的多样性。

Genetic characterization and quantitative trait relationship using multivariate techniques reveal diversity among tomato germplasms.

作者信息

Ene Chikezie Onuora, Abtew Wosene Gebreselassie, Oselebe Happiness Ogba, Ozi Friday Ugadu, Ikeogu Ugochukwu Nathaniel

机构信息

Department of Horticulture and Plant Sciences Jimma University Jimma Ethiopia.

Department of Agriculture Alex Ekwueme Federal University Ndufu-Alike Abakaliki Nigeria.

出版信息

Food Sci Nutr. 2022 Apr 18;10(7):2426-2442. doi: 10.1002/fsn3.2850. eCollection 2022 Jul.

DOI:10.1002/fsn3.2850
PMID:35844915
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9281941/
Abstract

Tomato accessions collected from different sources were evaluated to study their diversity, genotype-traits association, as well as pinpoint most selective trait(s) in a controlled environment in Jimma, Ethiopia. The two terms pot experiments were carried out in randomized complete block design with three replications. The genotype-trait (GT) biplot revealed high percentage variability above 70% in related growth traits for the first and second principal components (PC) summed up, in the two trials, whereas related floral and fruit traits association indicated medium to high (55%-65%) total explained variations in both seasons. It further showed that 'wild parent', 'CLN2498D', 'CLN2498F', 'UC Dan India', 'Ruma', 'PT4722A', 'CLN2679F', 'CLN2585C' and 'CLN2585D' were the best performers in most of the related growth, floral, and fruit traits in those seasons. Principal component analysis showed that traits, such as plant height, number of branches, leaves, nodes, internodes, stem girth, style length, stigma length and diameter, flower length and width, number of flowers per truss, number of fruits per truss, and fruit weight per plant, in the first dimension were positively related to yield and consistent with high loading factors in both seasons and could be underpinned highly important in breeding for increased fruit yield. Clustering and its comparison of means showed that 'CLN2498D', 'PT4722A', 'Ruma', 'Tropimech', and 'UC Dan India' of cluster I in both trials expressed the best traits including related growth, floral, and fruit traits. Therefore, selection for any trait would favor accessions in this cluster.

摘要

对从不同来源收集的番茄种质进行了评估,以研究它们的多样性、基因型-性状关联,并在埃塞俄比亚吉马的可控环境中确定最具选择性的性状。进行了两项盆栽试验,采用随机完全区组设计,重复三次。基因型-性状(GT)双标图显示,在两项试验中,第一和第二主成分(PC)相加后,相关生长性状的变异百分比高于70%,而相关花和果实性状的关联表明,两个季节的总解释变异为中到高(55%-65%)。结果还表明,“野生亲本”、“CLN2498D”、“CLN2498F”、“UC Dan India”、“Ruma”、“PT4722A”、“CLN2679F”、“CLN2585C”和“CLN2585D”在这些季节的大多数相关生长、花和果实性状方面表现最佳。主成分分析表明,株高、分枝数、叶片数、节数、节间数、茎粗、花柱长度、柱头长度和直径、花的长度和宽度、每穗花数、每穗果数和单株果实重量等性状在第一维度上与产量呈正相关,且在两个季节中均具有较高的载荷因子,这对于提高果实产量的育种至关重要。聚类及其均值比较表明,两项试验中第I类的“CLN2498D”、“PT4722A”、“Ruma”、“Tropimech”和“UC Dan India”表现出最佳性状,包括相关生长、花和果实性状。因此,选择任何性状都将有利于该类群中的种质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/570986e388a0/FSN3-10-2426-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/6ea71fffe6fd/FSN3-10-2426-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/78c2057fbf50/FSN3-10-2426-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/42476a3bd79d/FSN3-10-2426-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/8fc4ee061fe2/FSN3-10-2426-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/22aafa68300d/FSN3-10-2426-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/9f1fb2177b1a/FSN3-10-2426-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/b70a32e7779d/FSN3-10-2426-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/990675906f1a/FSN3-10-2426-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/570986e388a0/FSN3-10-2426-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/6ea71fffe6fd/FSN3-10-2426-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/78c2057fbf50/FSN3-10-2426-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/42476a3bd79d/FSN3-10-2426-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/8fc4ee061fe2/FSN3-10-2426-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/22aafa68300d/FSN3-10-2426-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/9f1fb2177b1a/FSN3-10-2426-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/b70a32e7779d/FSN3-10-2426-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/990675906f1a/FSN3-10-2426-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e352/9281941/570986e388a0/FSN3-10-2426-g002.jpg

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