Field Crop 2025, Vol.8, No.3, 126-138 http://cropscipublisher.com/index.php/fc 135 south were not included. Therefore, caution should be exercised when extending the conclusion. The data is only for two years and cannot be considered long-term. No extreme drought years have been encountered, and the performance of the varieties may still change in the event of a severe drought. Most points also did not have a control with adequate irrigation, so the absolute yield potential and drought resistance penalty are actually not very easy to quantify. There are also errors in the field itself. Soil differences, microclimates, and measurement operations may all affect the results. Although repetition and model cross-validation were used, methods like AMMI and GGE also carry a certain subjective element. Physiological indicators such as leaf and root system measurements are easily affected by sampling time and location. The sample size of root systems is not large, and it is more about observing the trend. Breeding suggestions are still at the empirical level at present. Specific genes and hybrid combinations still need to be genetically verified. The 20 varieties tested cannot cover all the materials. Among those not tested, there might be even more drought-resistant ones. In conclusion, the research has provided some basis for drought resistance evaluation, but longer-term, multi-environmental and deeper genetic verification is still needed. Figure 2 Haplotype analysis of candidate genes associated with relative stachyose content (stachyose_R) (Adopted from Wu et al., 2024) Image caption: A, local Manhattan plot (upper) around Phvul.011G014600, the gene structure (middle) of Phvul.011G014600 and the linkage disequilibrium (LD) heatmap (below). B, phenotypic analysis (upper) and the number (below) of different haplotypes based on Phvul.011G014600. C, local Manhattan plot (upper) around Phvul.011G015700, the gene structure (middle) of Phvul.011G015700 and the LD heatmap (below). D, phenotypic analysis (upper) and the number (below) of different haplotypes based on Phvul.011G015700. For each Manhattan plot, the vertical line indicates the position of the SNP resulting in a missense mutation. For each gene structure diagram, the white boxes, the black boxes, the black thick lines and the arrows indicate the UTRs, exonic regions, intronic regions and gene orientations, respectively. For each LD heatmap, red lines indicate the positions of significant SNPs. The r2 values are indicated using the color bars. For each boxplot, the middle line indicates the median, the rhombus indicates the mean, the box indicates the range of the 25th and 75th percentiles of the total data, the vertical lines indicate the interquartile range, and the outer dots represent outliers. BL, breeding line; L, landrace. Two-tailed Student’s t-test (Adopted from Wu et al., 2024) In fact, we have done a lot of work to enhance the reliability and repeatability of the data. The field trials employed random blocks and multiple repeat designs. The coefficient of variation of the yield data was on average controlled within 10%, and the accuracy was still acceptable. Physiological indicators such as RWC and enzyme activity are all obtained by taking the average of multiple samples and repeated measurements. The results over two years are basically consistent, and there is still some credibility. The data analysis employs relatively mature statistical models, and the appendix also includes complete trait data for easy traceability and verification. We also made some comparisons with existing literature and found that some stabley-yielding varieties and key traits were in line with those of others' research, which also increased our confidence a little. We have eliminated data with obvious anomalies, such as abnormal yields caused by local pests. Of course, there are always some uncontrollable factors in field experiments, so it should be fine to repeat the conclusion under the
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