Poor milling and grain appearance is a common feature of locally produced rice (Oryza sativa L.) in West Africa.  https://www.selleckchem.com/MEK.html  Development of genotypes with high yield and uniform milled grain size will enhance the market for the locally produced rice. One hundred rice accessions were evaluated to assess genetic variability, heritability and correlations for 11 milling and appearance quality traits and grain yield. The field was laid as a 10 × 10 alpha lattice design with three replications following standard cultivation practices. ANOVA revealed significant differences for the traits studied. The genotypic and environmental variances showed significant differences for all characters studied. Phenotypic coefficient of variation was greater than its corresponding genotypic coefficient of variation for each studied trait. Heritability at broad-sense varied from 14.1% for milling degree to 73.8% for milled grain length-to-width ratio (L/W). Genetic advance as percent of mean ranged from 2.2% for brown rice recovery to 129.6% for percentage of grain with chalkiness (PGWC). In general, genotypic correlations ranged higher than their corresponding phenotypic correlations. Brown rice recovery had significant positive phenotypic and genotypic correlations with milling recovery and head rice recovery. Consequently, brown rice recovery, milling recovery and L/W could be used as selection criteria for the improvement of head rice recovery. Genotypes BETIA and CRI-AMANKWATIA had the desirable PGWC and degree of chalkiness, therefore, they are recommended for the improvement of high yielding varieties with high amount of chalkiness.The spike traits of wheat can directly affect yield. F2 and F23 lines derived from the cross of the multi-spikelet female 10-A and the uni-spikelet male BE89 were used to detect QTLs for spike length (SL), total spikelet number per spike (TSS), kernel number per spike (KNS) and thousand-kernel weight (TKW) in four different environments. A total of 1098 SNP and 5 SSR were used to construct genetic map of 2398.1 cM with the average distance of 2.2 cM between markers. A total of 11 QTLs were identified for spike traits, including three QTLs for SL, five QTLs for TSS, two QTLs for KNS and one QTL for TKW. The QTLs mapped to chromosomes 2D, 4A, 6A, 7A and 7B explained 8.2-37.8% of the phenotypic variation in single environment. The major QTL confidence interval with distance of 0.5 cM was located on chromosome 4A and detected in multiple environments, which can explain more than 30% of the phenotypic variation for SL, TSS and KNS. Combining IWGSC RefSeq v1.0 and RNA-seq data for 10-A and BE89, we identified 16 genes expressed on spike or grain in four QTL regions. These findings provide insights into improving wheat yield through increasing spikletes in wheat, particularly through the use of the multi-spikelet female 10-A for breeding.The genetic diversity of 33 Paris polyphylla samples collected from the Dabie Mountains was analyzed using SCoT and SRAP molecular markers, revealing the genetic relationships among Paris polyphylla resources in the Dabie Mountains at the molecular level and providing a theoretical basis for genetic improvement and conservation. As a result, a total of 134 bands were amplified with 9 SCoT primers, the percentage of polymorphic bands was 100%, the average number of primers amplified was 14.89, the PIC value was 94.83% and the genetic similarity coefficient ranged from 0.463 to 0.896. Ten pairs of SRAP primer combinations amplified 135 bands, including 129 polymorphic bands, and the percentage of polymorphic bands was 95.56%. The average number of polymorphic bands obtained with each pair of SRAP primer combinations was 12.9, the PIC value was 93.91%, and the genetic similarity coefficient ranged from 0.533 to 0.904. This study showed that both SCoT and SRAP markers were suitable for the genetic diversity analysis of P. polyphylla, which belongs to a genus in which SRAP marker technology has not previously been applied, despite its application in a variety of other plants.With legumes, symbiotic N2 fixation can meet the species N demand and reduce the over-reliance on chemical fertilizers in tropical regions where N deficiency is a major factor limiting crop yields and increased agricultural sustainability. Therefore, to optimize the use of cowpea (Vigna unguiculata L. Walp) germplasm in effective breeding, evaluation of genetic diversity and quantification of N2 fixation are essential prerequisites. The aim of this study was to explore the level of diversity using SSR markers and N2-fixing traits in a set of cowpea germplasm grown in Ghana. We analysed 49 cowpea accessions collected from Northern Ghana using qualitative vegetative and N2 fixation traits, and simple sequence repeat (SSR) markers. Experimental field results revealed considerable morpho-physiological variation for plant growth habits, grain yield and symbiotic performance between and among the cowpea accessions. Results from both the 15N natural abundance and ureides in the xylem sap were able to descriminate between high and low levels of N2 fixation in cowpea accessions. Five subpopulations were identified within accessions inferred from STRUCTURE 2.3.4. A general linear model was used to assess the association of SSR markers with N2-fixing traits. There were significant (p ≤ 0.05) links between SSR markers and symbiosis-related traits such as nodule number, nodule dry weight, shoot dry weight, N-fixed, N derived from air (Ndfa), and relative uried-N (RU-N).The present study investigates the genetic diversity and population structure among 42 diverse pomegranate genotypes using a set of twenty one class I hypervariable SSR markers (> 24 bp), which were reported earlier from the analysis of cv. Dabenzi genome. The study material comprised 16 indigenous and 13 exotic cultivars, and 13 wild accessions. A total of 66 alleles (Na) were detected with an average of 3.14 alleles per marker. The average values of polymorphic information content (PIC), observed heterozygosity (Ho) and Shannon's gene diversity index (I) were 0.44, 0.21 and 0.95, respectively suggesting moderate genetic diversity. The pairwise genetic distance ranged from 0.07 to 0.80 with a mean value of 0.53. Population structure analysis divided all the genotypes into four subpopulations (SP1, SP2, SP3 and SP4). Interestingly, the results of phylogenetic and principal component analyses coincided with the results of structure analysis and the grouping of genotypes followed the geographical origins. AMOVA revealed that 25% of the variation was attributed to differences among populations, whereas 75% within the subpopulations with significant F ST value 0.