Selection of BC1F3 populations of Santa Cruz type dwarf tomato plant by computational intelligence techniques

IF 1.2 4区 农林科学 Q2 AGRICULTURE, MULTIDISCIPLINARY
D. Gomes, G. Maciel, A. Siquieroli, C. Oliveira, R. R. Finzi, D. J. Marques
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引用次数: 2

Abstract

The aim of this study was to estimate genetic divergence and select BC1F3 populations of dwarf tomato plant within the Santa Cruz segment by computational intelligence techniques. The experiment was conducted in a greenhouse in the Vegetable Crop Experimental Station of the Universidade Federal de Uberlândia (UFU), Monte Carmelo, MG, Brazil. A randomized block experimental design was used with 17 treatments and four replications. The genetic material evaluated comprised thirteen dwarf tomato plant populations obtained by a backcross and two self-fertilizations, plus both parents (recurrent and donor), and two commercial check varieties. The traits evaluated were mean fruit weight (MFW), soluble solids content (SSC), fruit diameter (FD), fruit length (FL), fruit shape (FS), pulp thickness (PT), number of locules (NL), distance between internodes, and acylsugar, β-carotene, and lycopene content. The data were analyzed by means testing, and genetic divergence was measured using Mahalanobis generalized distance by the unweighted pair group method with arithmetic mean (UPGMA) and through computational intelligence using Kohonen self-organizing maps (SOM). Genetic dissimilarity in relation to the donor parent could be confirmed through both methodologies. However, the SOM was able to detect differences and organize the similarities among the populations in a more consistent manner, resulting in a larger number of groups. In addition, the computational intelligence techniques allow the weight of each variable in formation of the groups to be ascertained. Among the BC1F3 populations, UFU-SC#3 and UFU-SC#5 stood out for agronomic traits, and UFU-SC#10 and UFU-SC#11 stood out for quality parameters.
基于计算智能技术的圣克鲁斯型矮番茄BC1F3群体选择
本研究的目的是利用计算智能技术对圣克鲁斯段矮番茄植株的遗传分化进行估计,并选择BC1F3居群。该试验在巴西MG蒙特卡梅罗的印度联邦大学(UFU)蔬菜作物实验站的温室中进行。采用随机区组试验设计,共17个处理,4个重复。评估的遗传物质包括13个矮番茄植株群体,由一个回交和两个自交受精获得,加上两个亲本(循环和供体)和两个商业对照品种。评价的性状为平均单果重(MFW)、可溶性固形物含量(SSC)、果径(FD)、果长(FL)、果形(FS)、果肉厚度(PT)、果室数(NL)、节间距离以及酰基糖、β-胡萝卜素和番茄红素含量。采用均值检验对数据进行分析,采用带算术平均值的非加权对群法(UPGMA)和基于Kohonen自组织图(SOM)的计算智能对遗传差异进行测量。与供体父母的遗传差异可以通过这两种方法得到证实。然而,SOM能够以更一致的方式检测种群之间的差异并组织相似性,从而产生更多的群体。此外,计算智能技术允许确定组信息中每个变量的权重。在BC1F3群体中,农艺性状突出的是UFU-SC#3和UFU-SC#5,品质参数突出的是UFU-SC#10和UFU-SC#11。
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来源期刊
Bragantia
Bragantia AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
2.40
自引率
8.30%
发文量
33
审稿时长
4 weeks
期刊介绍: Bragantia é uma revista de ciências agronômicas editada pelo Instituto Agronômico da Agência Paulista de Tecnologia dos Agronegócios, da Secretaria de Agricultura e Abastecimento do Estado de São Paulo, com o objetivo de publicar trabalhos científicos originais que contribuam para o desenvolvimento das ciências agronômicas. A revista é publicada desde 1941, tornando-se semestral em 1984, quadrimestral em 2001 e trimestral em 2005. É filiada à Associação Brasileira de Editores Científicos (ABEC).
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