Molecular and phenotypic diversity of groundnut (Arachis hypogaea L.) cultivars in Togo

The Phenotypic Diversity of 232 Germplasm Accessions Identifies the Adverse Effects of Flowering Redundancy on Peanut Yield

“…All of these studies indicate that the HPW, HSW, and SP are less affected by the environment, their rich genetic diversity was primarily controlled by genes. It can be observed that the YPP was lower than the other yield-related traits (Table 3); this result also appeared in the phenotypic diversity studies by Jiang et al [55] and Banla et al [26] and might be because the YPP is a more complex quantitative trait compared to the other yield-related traits, is directly or indirectly influenced by several other traits [56,57], and is also likely to be subject to environmental influences [27,50]. Strong correlations were found between some of the flowering traits in this study (Figure 4).…”

“…The flowering time was closely related to peanut maturity [58] and was considered to be one of the important agronomic traits affecting peanut yield and quality [54]. Most previous workers had investigated the diversity of DTF10 and DTF50 together with plant type and yield-related traits in peanut populations [24][25][26]. In this study, it was found that the DTF10, DTF50, and DTF100 were negatively correlated with the SP, which is in agreement with the results of Vasanthi et al [24], Yol et al [25], and Banla et al [26] and in contrast to the result of Zaman et al [40].…”

“…Most previous workers had investigated the diversity of DTF10 and DTF50 together with plant type and yield-related traits in peanut populations [24][25][26]. In this study, it was found that the DTF10, DTF50, and DTF100 were negatively correlated with the SP, which is in agreement with the results of Vasanthi et al [24], Yol et al [25], and Banla et al [26] and in contrast to the result of Zaman et al [40]. A significant positive correlation was found between the DTF50 and the HPW in the study by Vasanthi et al [24], which is in agreement with the results of this study.…”

“…Previous studies regarding flowering time have only briefly focused on days to 10% flowering (DTF10) [20,21], DTF50 [22], and the concentration degree of floret flowering date [23]. There are strong correlations between early flowering progress (DTF10, DTF50) and shelling percentage (SP), 100-pod weight (HPW), HSW, and YPP; however, their relationships are not consistent across studies [19,[24][25][26]. Even though a long flowering duration (FD) was observed to negatively affect yield and its related traits [27,28], flowering redundancy has long been ignored by previous groundnut researchers.…”

Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change

“…Third, metabolites with similar structures were clustered to produce metabolite-groups based on IPCA algorithm 42 . Fourth, a binary matrix between the metabolite-groups and plants was built, and accordingly the plants were clustered by Simpson coefficient 43 and Jaccard coefficient 44 , respectively. Finally, the plant-plant dissimilarity in Jaccard clustering was used for the correlation analysis.…”