Molecular Plant Breeding 2024, Vol.15, No.4, 187-197 http://genbreedpublisher.com/index.php/mpb 191 selection process for traits such as catechin content, flavor profile, and drought tolerance. Lubanga et al. (2022) stated that genomic selection strategies have been found to increase genetic gain in tea breeding programs (Figure 3), significantly outperforming traditional phenotypic selection methods. Figure 1 Interactions between Ciborinia camelliae and resistant Camellia lutchuensis (Adopted from Kondratev et al., 2020) Image caption: A, Development of the resistance response inC. lutchuensis. Scale bar = 0.5 cm. B, Proportion of reads mapped to the fungal genome. Each dot represents an observed value, bars represent the average value at each timepoint and treatment, error bars represent standard error. Asterisks (*) indicate P < 0.05 (two-tailed Student’s t test). C, Principal component analysis of plant read count data. Axes show first and second principal components (PC1 and PC2, respectively). Each dot represents a biological replicate, circles represent matched biological replicates, arrows indicate the time course, numbers represent upregulated (pink) or downregulated (green) transcripts. hpi = hours postinoculation (Adopted from Kondratev et al., 2020) Figure 2 Effect of different temperature treatments on phenotypic changes, chlorophyll contents, net photosynthetic rate (Pn), electron transfer rate (ETR), soluble sugar, starch content, and relative water contentin Camellia oleifera ‘Huanxin’ leaves (Adopted from Wu et al., 2020) Image caption: (a) 25 °C; (b) 6 °C; (c) Low environmental temperature; (d) Chlorophyll content; (e) Net photosynthetic rate; (f) Electron transfer rate; (g) Soluble sugar content; (h) Starch content; (i) Relative water content. Data represent the mean ± SE (n = 3). Lowercase letters indicate significant differences among different temperature treatments at p ≤ 0.05 according to Duncan’s multiple range test (DMRT) (Adopted from Wu et al., 2020)
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