This study aimed to enhance the Inpari 42 rice variety by integrating the aromatic trait through Marker-Assisted Backcrossing (MAB) while improving key agronomic characteristics in the BC1F1 generation. The aromatic gene from Merah Wangi was successfully introgressed into BC1F1 plants, confirmed through molecular analysis using the Bradbury marker, which detects mutations in the
Rice (
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Field evaluation of 33 Bambara groundnut lines were carried out to estimate genetic variability, heritability and genetic advance. One-way analysis of variance (ANOVA) result showed significant differences for 14 of the 17 agronomic traits studied. The results on the variance components revealed that phenotypic variance had values (vigour index 2.30, pod length 10.09, seed length 1.64) that were slightly higher than the respective genotypic variance (vigour index 1.68, pod length 9.88, seed length 0.26). Similarly, the values (number of branches 41.91, number of nodes 68.72, internode length 59.02) of phenotypic coefficient of variation (PCV) were slightly higher than the corresponding genotypic coefficient of variation (GCV) (number of branches 40.11, number of nodes 66.98, internode length 57.31), suggesting a substantial genetic variability that can serve as a base for Bambara groundnut improvement. High estimates of heritability were observed for most characters like number of branches (95.70%), number of nodes (97.46%), internode length (97.10%), pod length (97.91%), and seed length (93.79%). Likewise, genetic advance values for most traits were high, pod length (201), number of nodes (200), internode length (200), number of branches (197) and seed yield (195), implying that improvement of seed yield in Bambara groundnut can be achieved through direct selection.
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We selected 68 Chinese maize inbred lines to understand the genetic diversity, population structure, and marker-trait associations for eight agronomic traits and 50 simple sequence repeats (SSRs) markers. In this study, effective traits, such as days of anthesis (DA), days of silking (DS), ear height (EH), plant to ear height ratio (ER), plant height (PH), and leaf width (LW) were divided into PC1 and PC2 by PCA analysis for maize inbred lines. Genetic diversity analysis revealed a total of 506 alleles at 50 SSR loci. The mean number of alleles per locus was 10.12. The averages of genetic diversity (GD) and polymorphic information content (PIC) values were 0.771 and 0.743, respectively. Based on a membership probability threshold of 0.80, the population structure revealed that the total inbred lines were divided into three major groups with one admixed group. A marker-trait association using Q + K MLM showed that nine SSR markers (bnlg1017, umc2041, umc2400, bnlg105, umc1229, umc1250, umc1066, umc2092, and umc1426) were related with seven agronomic traits. Among these SSR markers, eight SSR markers were associated with only one agronomic trait (DA, DS, ER, LL, LW, PH, and ST), whereas one SSR marker (umc1229) was associated with two agronomic traits (DA and ST). These results will help in optimizing the choice of inbred lines for cross combinations, as well as in selecting markers for further maize breeding programs.
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Rice varieties developed through the inter-specific crosses between Asian (
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Plant breeding programs are often used to improve varieties through creating diverse agronomic traits. During a breeding program, a lot of genetic diversities are created in the genome after different generations through homologous recombination. Genome sequencing technology has revolutionized the discovery of genes and molecular markers associated with diverse agronomic traits in crop improvement programs. Genomic research is now in the peak of success, thus creating new opportunities for crop improvement modern sequencing technology is now capable of sequencing thousands to millions of bases per run. Modern sequencing technologies enable the sequencing of different cultivars with small to complex genomes at a reasonable time and cost. These massive data can be used to identify important agronomic traits of crops such as fruit color, size, ripening, flowering time adaptation, grain yield, and quality maintenance. In addition, they can be used to develop crop varieties. This mini-review is focused on the role of genome sequencing in genomic research and plant breeding for crop improvements.
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The genetic variability and yield stability are complex traits with large environmental components that are utilized for breeding of improved plant performance under drought conditions. In order to better understand the relationship among genotype, trait components, and environment, marker-trait associations in 20 wheat varieties using phenotypic and ISSR (Inter-Simple Sequence Repeat) markers under drought conditions were examined. The combined analysis of variance results showed that the tested traits were significantly influenced by years, irrigation treatments, and the varieties. The drought stress conditions resulted in a substantial reduction in grain yield by 33.70%. The varieties
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Sunflower is one of the most widely cultivated oil crops. It produces seeds which have abundant health benefits. The
objective
of this research was to determine the effects of two growing years and five planting dates on agronomic traits and chemical compositions in sunflower accessions. In this study, genotype by year interaction was significant for days to flowering, weight of seeds per plant, oil, palmitic acid, stearic acid, oleic acid, linoleic acid, all tocopherol and phytosterol components. The major source of variation in most agronomic traits and chemical compositions in sunflower was attributed by variation among genotypes. Days to flowering, head length, and weight of seeds per plant decreased when planting date was delayed. Oil content, stearic acid, oleic acid, α-tocopherol, total tocopherol, β-sitosterol, and total sterol contents decreased but linoleic acid increased when planting date was delayed. From this study, valuable information will be provided for sunflower breeders and growers in developing and producing functional food resources and products.
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