Morphological and biomass dataset for combining ability of Padjadjaran Field Corn based on line × tester Analysis and GGE biplot

Description

The data presented in this article consist of three tables and two figures derived from observations and measurements of plant height (PH), number of leaves (NL), stem diameter (SD) and biomass characters. The variance analysis of the line × tester model is shown in Table 1. The analysis showed that the coefficient of variance was 5.44% in PH, 10.07% in NL, 15.61% in SD and 13.75 in biomass. In PH and SD, all factors showed a highly significant effect (p>0.01). Then in NL, the line × tester factor showed a highly significant effect, while the line and tester factors showed a significant factor (p>0.05). Thus, in biomass all factors also showed a very significant effect except for the tester factor. The existence of a significant effect indicates that the selected material is diversified for all the traits studied. The highest percentage of total variance (%SS) in PH, NL, SD and biomass was shown by the effect of crossing factors with 49.9%, 49.4%, 49.6% and 49.6% respectively. Table 1 also shows the contribution values of lines, testers, and lines × testers. PH is 26.28%, 7.17% and 65.97% respectively. NL is 24.51%, 5.55% and 67.44%. Then the SD shows 33.34%, 4.92% and 60.09%; while, the biomass amounted to 22.51%, 1.2% and 74.57%. The results showed that lines × testers gave the highest contribution, indicating that lines × testers crosses showed a large variance in all characters tested. Estimation of additive and dominant variances showed that all characters had larger dominant variances than additive variances. The data also shows that the estimated broad heritability of all characters namely PH, NL, SD and biomass had high broad heritability (0.951, 0.776, 0.922 and 0.968, respectively). In contrast to these results, the estimation of the narrow sense heritability showed a variation of only 0 - 5%. The data in Table 2 shows GCA information. The best of GCA values for lines at PH is L7, then at NL is L9, then at SD is L3 and at biomass is L5. The GCA for the tester at PH is T3, then at NL is T4, then at SD is T4 and at biomass is T2. The data shows the SCA value. The assessment results show that the best at PH is T1×L7, then at NL is T2×L20, then at SD is T4×L3 and in biomass T2×L10. The figure shows a vector view of the biplot that reveals the combining power of the strains for all testers. In PH (Fig. 1a), L7 had the highest GCA. Then at NL shows that the L9 line is the strain that has the best GCA. Furthermore, in SD it is known that L3 is the line with the best GCA. And finally, the strains that have the best combining power for all testers in biomass is L5. The data in Fig shows a which won where biplot that reveals which strains are best to combine with a particular tester (SCA). Based on Figure, PH shows that line L7 is best when crossed with tester T1. In NL, it was found that L7 crossed well with T2. The SD shows that L3 and L1 are best crossed with T4 and T3. On biomass , it is known that L5 is best crossed with T2 and T1.

Steps to reproduce

Raw data were taken from observation and measurment in the field. Data collection was carried out by measuring each plant in each experimental plot. Data were taken from each line × tester cross. This data includes plant height, number of leaves, stem diameter and biomass. Observation of plant height was carried out using measuring tape. The number of leaves was counted directly on the experimental field. Determination of stem diameter is carried out using a digital caliper. The biomass observed included the weight of the entire plant (stems, leaves, flowers and cobs) without roots using a digital scale. Data was analyzed with line x tester model by Singh and Chaudary. Variance components and genetic parameters were analyzed using AGD-R (Analysis of Genetic Designs in R) Version 5.1. Biplot of GGE was generated using RStudio 2023.06.1+524.

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