Phenotypic data related to seedling traits of hexaploid spring wheat panel evaluated under salinity stressMendeley Data
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 underta...
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Elsevier
2025-08-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925005281 |
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| author | Santosh Gudi Harsimardeep S Gill Serena Collins Jatinder Singh Devinder Sandhu Sunish K Sehgal Upinder Gill Rajeev Gupta |
| author_facet | Santosh Gudi Harsimardeep S Gill Serena Collins Jatinder Singh Devinder Sandhu Sunish K Sehgal Upinder Gill Rajeev Gupta |
| author_sort | Santosh Gudi |
| collection | DOAJ |
| description | 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., (ECiw = 1.46 dSm−1) and saline (ECiw = 14 dSm−1). Salt stress was given on 18 days old seedlings and the targeted salinity level (ECiw = 14 dSm−1) 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. |
| format | Article |
| id | doaj-art-cb2864a7695d4e4bb30ccd1eca877ae2 |
| institution | DOAJ |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-cb2864a7695d4e4bb30ccd1eca877ae22025-08-20T02:59:41ZengElsevierData in Brief2352-34092025-08-016111180110.1016/j.dib.2025.111801Phenotypic data related to seedling traits of hexaploid spring wheat panel evaluated under salinity stressMendeley DataSantosh Gudi0Harsimardeep S Gill1Serena Collins2Jatinder Singh3Devinder Sandhu4Sunish K Sehgal5Upinder Gill6Rajeev Gupta7Edward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, ND, USA; Department of Plant Pathology, North Dakota State University, Fargo, ND, USADepartment of Agronomy, Horticulture, and Plant Science, South Dakota State University, Brookings, SD, USAUS Salinity Laboratory (USDA-ARS), Riverside, CA, USADepartment of Plant Pathology, North Dakota State University, Fargo, ND, USAUS Salinity Laboratory (USDA-ARS), Riverside, CA, USADepartment of Agronomy, Horticulture, and Plant Science, South Dakota State University, Brookings, SD, USADepartment of Plant Pathology, North Dakota State University, Fargo, ND, USAEdward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, ND, USA; Corresponding author.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., (ECiw = 1.46 dSm−1) and saline (ECiw = 14 dSm−1). Salt stress was given on 18 days old seedlings and the targeted salinity level (ECiw = 14 dSm−1) 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.http://www.sciencedirect.com/science/article/pii/S2352340925005281Abiotic stressBLUPLysimeterPrincipal component analysisSalt stressSeedling traits |
| spellingShingle | Santosh Gudi Harsimardeep S Gill Serena Collins Jatinder Singh Devinder Sandhu Sunish K Sehgal Upinder Gill Rajeev Gupta Phenotypic data related to seedling traits of hexaploid spring wheat panel evaluated under salinity stressMendeley Data Data in Brief Abiotic stress BLUP Lysimeter Principal component analysis Salt stress Seedling traits |
| title | Phenotypic data related to seedling traits of hexaploid spring wheat panel evaluated under salinity stressMendeley Data |
| title_full | Phenotypic data related to seedling traits of hexaploid spring wheat panel evaluated under salinity stressMendeley Data |
| title_fullStr | Phenotypic data related to seedling traits of hexaploid spring wheat panel evaluated under salinity stressMendeley Data |
| title_full_unstemmed | Phenotypic data related to seedling traits of hexaploid spring wheat panel evaluated under salinity stressMendeley Data |
| title_short | Phenotypic data related to seedling traits of hexaploid spring wheat panel evaluated under salinity stressMendeley Data |
| title_sort | phenotypic data related to seedling traits of hexaploid spring wheat panel evaluated under salinity stressmendeley data |
| topic | Abiotic stress BLUP Lysimeter Principal component analysis Salt stress Seedling traits |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925005281 |
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