A dataset on multi-trait selection approach for the evaluation of F1 tomato hybrids along with their parents under hot and humid conditions in Bangladesh
Description
The dataset was generated using 14 cross combinations from a Line × Tester mating design, along with seven parental lines and two tester parents of tomatoes with diverse genetic bases and heat tolerance qualities in a randomized complete block (RCB) design. This dataset aims to evaluate the use of multiple trait-based selection methods with multi-trait genotype-ideotype distance index (MGIDI) models to identify superior summer F1 tomato hybrids suitable for the climatic conditions of countries like Bangladesh. The dataset of MGIDI can be universally applied to rank treatments based on desired values of multiple traits, with its potential for rapid expansion in evaluating various types of plant experiments.
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Steps to reproduce
The experiment was conducted at the vegetable experimental field of the Horticulture Research Centre (HRC), Bangladesh Agricultural Research Institute (BARI), Gazipur-1701, Bangladesh (24.00°N, 90.25°E, 8.4 masl). The seeds of the F1 hybrids and their parents were sown in a well-prepared seedbed. Forty-day-old tomato seedlings were then transplanted into the main field under transparent polytunnels. The polytunnels were 2.3 meters wide and contained two-unit beds, each measuring 0.8 meters by 1 meter, with a 30-centimeter drain between the 14-unit beds. Each unit bed had double rows, accommodating 24 plants. Most data were collected from randomly selected plants—five plants per parental line and their crosses.