The search for high-yielding genotypes and that are tolerant to abiotic stresses has been a major goal in plant breeding. Thus, the use of technologies such as precision agriculture associated with remote sensing tools for plant phenotyping has increased. The hypothesis of this research was that soya bean genotypes respond differently to low and adequate base saturation levels in the soil and that vegetation indexes can be efficient auxiliary tools in plant phenotyping for this purpose. The objective of this study was to evaluate the nutritional status and agronomic performance of soya bean genotypes grown in low and recommended base saturation conditions using high-throughput phenotyping. The research was carried out in 2017/2018 and 2018/2019 crop seasons, in which two field experiments in each season were installed. In experiment I, genotypes (P1, P2, P3, P4, P5, P6, P7, P8, P9 and P10) were evaluated without soil correction (low saturation condition). In experiment II, liming was performed three months before sowing of the genotypes to raise the base saturation to 60% (recommended saturation). Canopy spectral behaviour at the following wavelengths was evaluated: green (550 nm), red (660 nm), red edge (735 nm) and near-infrared (790 nm), and the vegetation indices (Vis) NDVI, SAVI, EVI and MSAVI were calculated. The variables evaluated were leaf calcium and magnesium contents and grain yield. The use of VI’s was efficient in assessing the performance of genotypes soya bean at different base saturation levels. The EVI showed moderate correlation with the nutritional and agronomic variables measured in each base saturation level. The approach used enabled both to identify genotypes tolerant to low base saturation soils and the ones with better response to liming.

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碱饱和胁迫条件下大豆基因型的高通量表型分析

寻找高产基因型和耐受非生物胁迫的基因型一直是植物育种的主要目标。因此，与用于植物表型分析的遥感工具相关的精准农业等技术的使用有所增加。本研究的假设是，大豆基因型对土壤中低和充足的基础饱和度水平有不同的反应，为此，植被指数可以成为植物表型分析的有效辅助工具。本研究的目的是使用高通量表型评估在低和推荐的基础饱和条件下生长的大豆基因型的营养状况和农艺性能。该研究在 2017/2018 和 2018/2019 作物季节进行，其中每个季节设置两次田间试验。在实验一中，基因型（P1、P2、P3、P4、P5、P6、P7、P8、P9 和 P10）在没有土壤校正（低饱和条件）的情况下进行评估。在实验二中，在基因型播种前三个月进行浸灰，以将基础饱和度提高到60%（推荐饱和度）。评估了以下波长下的冠层光谱行为：绿色 (550 nm)、红色 (660 nm)、红色边缘 (735 nm) 和近红外 (790 nm)，以及植被指数 (Vis) NDVI、SAVI、EVI 和MSAVI 进行了计算。评估的变量是叶钙和镁含量以及谷物产量。VI's 的使用在评估不同基础饱和水平下基因型大豆的性能方面是有效的。EVI 显示出与在每个基础饱和度水平下测量的营养和农艺变量的中等相关性。