Gudi Santosh, Gill Harsimardeep S, Collins Serena, Singh Jatinder, Sandhu Devinder, Sehgal Sunish K, Gill Upinder, Gupta Rajeev
Edward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, ND, USA.
Department of Plant Pathology, North Dakota State University, Fargo, ND, USA.
Data Brief. 2025 Jun 19;61:111801. doi: 10.1016/j.dib.2025.111801. eCollection 2025 Aug.
Salt stress is a major abiotic stress affecting wheat at various developmental stages and significantly reduces grain yield. Developing salt resilient wheat cultivars alleviate the negative impacts of salt stress and helps in maintaining sustainable grain yield under salt stress. A study was undertaken to assess the response of various seedling traits in a genetically, phenotypically, and geographically diverse panel of 228 hexaploid spring wheat accessions using greenhouse lysimeter system with two irrigation treatments: control (electrical conductivity of irrigation water as deci-Siemens per meter., (EC = 1.46 dSm) and saline (EC = 14 dSm). Salt stress was given on 18 days old seedlings and the targeted salinity level (EC = 14 dSm) was achieved gradually over two days period, to overcome any osmotic shock. Data on various seedling traits [such as shoot height (SH; inches), root length (RL; inches), tiller number (TN), shoot weight (SW; grams), and root weight (RW; grams)] were collected after three weeks of salt treatment from control and salt stress environment. Shoot and root traits were used to calculate root length by shoot height (RL-by-SH) and root weight by shoot weight (RW-by-SW) ratios. Furthermore, the salt tolerance index (STI), was calculated for each trait by dividing trait values of each accession from salt-treated tanks by those from control tanks. Raw data was subjected to mixed linear analysis to derive best linear unbiased prediction (BLUP). BLUP values were also used for Pearson's correlation coefficient analysis and principal component analysis (PCA), which gives intrinsic relationship among various seedling traits. Dataset presented here is a valuable source for identifying tolerant lines for salt stress environment. Moreover, researchers can utilize this information to identify potential genomic regions associated with salt stress tolerance and can be utilized in developing salt resilient wheat cultivars.
盐胁迫是影响小麦各个发育阶段的主要非生物胁迫，会显著降低小麦产量。培育耐盐性强的小麦品种可减轻盐胁迫的负面影响，并有助于在盐胁迫条件下维持可持续的谷物产量。本研究采用温室蒸渗仪系统，设置两种灌溉处理方式，对228份六倍体春小麦种质资源进行了评估，这些种质资源在遗传、表型和地理上具有多样性。两种灌溉处理分别为：对照（灌溉水的电导率为每米毫西门子，(EC = 1.46 dSm)）和盐处理（EC = 14 dSm）。在幼苗生长18天时施加盐胁迫，并在两天内逐步达到目标盐度水平（EC = 14 dSm），以避免任何渗透冲击。在盐处理三周后，从对照和盐胁迫环境中收集了各种幼苗性状的数据[如株高（SH；英寸）、根长（RL；英寸）、分蘖数（TN）、地上部重量（SW；克）和根部重量（RW；克）]。地上部和根部性状用于计算根长与株高之比（RL-by-SH）和根重与地上部重量之比（RW-by-SW）。此外，通过将每个种质在盐处理池中的性状值除以对照池中的性状值，计算每个性状的耐盐指数（STI）。对原始数据进行混合线性分析以获得最佳线性无偏预测（BLUP）。BLUP值还用于皮尔逊相关系数分析和主成分分析（PCA），以揭示各种幼苗性状之间的内在关系。这里呈现的数据集是识别盐胁迫环境下耐盐品系的宝贵资源。此外，研究人员可以利用这些信息来识别与耐盐性相关的潜在基因组区域，并可用于培育耐盐性强的小麦品种。
