利用人工神经网络和非参数检验分析大豆基因型对上胚轴长度的适应性和表型稳定性

Jorge Cunha Resende, É. Matsuo, G. F. Alves, Gustavo Lourenço Bomtempo, M. Nascimento, S. C. Ferreira
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摘要

遗传改良和统计数据共同促进了大豆在巴西的重要性。其中一个贡献是在国内市场上推出新品种,这需要在其注册和保护的法律程序中进行几种测试的验证,其中之一是可识别性测试。一些研究报道了一些表型特征在这种区分中是潜在的,其中之一是上胚轴的长度。在这项工作中,目的是鉴定在整个分析环境中表现出低平均或高平均、高度稳定以及对不同环境具有适应性的大豆基因型。在温室内进行两组试验,测定不同环境(种植季节)下大豆植株的上胚轴长度。对所得数据进行个体方差分析、联合方差分析、Scott-Knott检验,并通过人工神经网络和非参数检验进行适应性和稳定性分析。结果表明,上轴长度平均值较低、对环境改善适应性较广或响应性较差且四季稳定的基因型分别为TMG - 1175 RR (V2)、BMX - Tornado RR (V2)、BG - 4272 (V2)、BRS283 (V2和V3)和FT-Cristalina (V2和V3)。BRSMG 752 S(在V2和V3中)、TMG 4185(在V3中)和BRSGO 7560(在V3中)表现为高介质、高稳定性和广泛适应性。基因型brs8381、tmg4185、MG/BR46_Conquista、brsmg850 GRR、BRS Valiosa RR和BG 4277较为稳定,推荐用于适宜环境。
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Adaptability and phenotypic stability of soybean genotypes regarding epicotyl length using artificial neural network and non-parametric test
Genetic improvement together with statistics has contributed to the growth of the importance of soybean in Brazil. One of the contributions has been the launching of new cultivars in the national market, which requires, in its legal procedures for registration and protection, the verification of several tests, one of them being the distinguishability test. Several studies have reported that some phenotypic characters are potential in this distinction, one of them is the length of the epicotyl. In this work, the objective was to identify soybean genotypes that present low or high average, highly stable throughout the analyzed environments and that present adaptability to different environments. Two groups of experiments were conducted in a greenhouse to measure the epicotyl length of soybean plants submitted to different environments (planting season). The data obtained were analyzed using the analysis of individual variance, analysis of joint variance, Scott-Knott test and adaptability and stability through the Artificial Neural Network and non-parametric test. It can be concluded that the genotypes that showed low average for epicotyl length, wide adaptability or poor responsiveness to environmental improvements and stable over the seasons were TMG 1175 RR (in V2), BMX Tornado RR (in V2), BG 4272 (in V2), BRS283 (in V2 and V3) and FT-Cristalina (in V2 and V3). BRSMG 752 S (in V2 and V3), TMG 4185 (in V3) and BRSGO 7560 (in V3) behaved as high medium, high stability and wide adaptability. The genotypes BRS 8381, TMG 4185, MG/BR46_Conquista, BRSMG 850 GRR, BRS Valiosa RR and BG 4277 were stable and recommended for favorable environments.
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