The response to selection in any crop improvement program depends on the degree of variance and heritability. The objective of the current study was to explain variance and heritability components in Indian mustard Brassica juncea (L). Czern & Coss to recognize promising genotypes for effective breeding. Two hundred and eighty-nine diverse accessions of Indian mustard belonging to four continents were analyzed for yield and yield-related traits (20 traits) over two seasons (2017–2018 and 2018–2019) using an alpha lattice design. The genetic variance was found to be significant (P ≤ 0.01) for the individual and under pooled analysis for all of the evaluated traits, demonstrating the presence of significant genetic variability in the diversity panel, which bids greater opportunities for utilizing these traits in future breeding programs. High heritability combined with high genetic advance as percent of mean and genotypic coefficient of variation was observed for flowering traits, plant height traits, seed size, and seed yield/plant; hence, a better genetic gain is expected upon the selection of these traits over subsequent generations. Both correlation and stepwise regression analysis indicated that the main shoot length, biological yield, total seed yield, plant height up to the first primary branch, seed size, total siliqua count, days to flowering initiation, plant height at maturity, siliquae on the main shoot, main shoot length, and siliqua length were the most significant contributory traits for seed yield/plant. Also, promising genotypes were identified among the diversity panel, which can be utilized as a donor to improve Indian mustard further. These results indicated a greater scope for improving seed yield per plant directly through a selection of genotypes having the parsimonious combination of these nine traits.

This study reports the identification of a unique lentil (Lens culinaris Medik.) genotype L4717-NM, a natural mutant (NM) derived from a variety L4717, producing brown, black, and spotted seed-coat colored seeds in a single plant, generation after generation, in different frequencies. The genetic similarity of L4717 with that of L4717-NM expressing anomalous seed-coat color was established using 54 SSR markers. In addition, various biochemical parameters such as TPC (total phenolic content), TFC (total flavonoid content), DPPH (2,2-diphenyl-1-picrylhydrazyl), FRAP (ferric reducing antioxidant power), H₂O₂ (peroxide quantification), TCC (total carotenoids content), TAC (total anthocyanin content), and TAA (total ascorbic acid) were also studied in the seeds, sprouts, and seedlings of L4717, brown, black, and spotted seed-coat colored seeds. Stage-specific variations for the key biochemical parameters were recorded, and seedling stage was found the best for many parameters. Moreover, seeds with black seed coat showed better nutraceutical values for most of the studied traits. A highly significant (p ≤ 0.01) and positive correlation was observed between DPPH and TPC, TAA, TFC, etc., whereas, protein content showed a negative correlation with the other studied parameters. The seed coat is maternal tissue and we expect expression of seed-coat color as per the maternal genotype. However, such an anomalous seed-coat expression, which seems to probably be governed by some transposable element in the identified genotype, warrants more detailed studies involving exploitation of the anthocyanin pathway.

Codon usage bias (CUB) phenomenon varies with the species and even within the genes of the same species, where few codons are preferred more frequently than their other synonymous codons. It also categorizes the differences between species. Nucleotide compositional analysis reveals the molecular mechanisms of genes and the evolutionary relationship of a gene in dissimilar plant species. In the present study, three orthologous sequences of each FAE1 (FAE1.1, FAE1.2, and FAE1.3) and FAD2 (FAD2.1, FAD2.2, and FAD2.3) genes, from six Brassica species were accessed using the GenBank database. Further, CUB-related parameters such as nucleotide composition (AT and GC content), relative synonymous codon usage (RSCU), the effective number of codons (ENC), frequency of optimal codons (Fop), relative codon usage bias (RCBS), neutrality plot (GC12 vs. GC3), parity rule-2 [(A3/(A3 + T3) vs. (G3/(G3 + C3)], and correspondence analysis (COA) were analyzed to compare codon bias in U’s triangle Brassica species. The FAE1 genes were AT-biased and FAD2 genes were GC-biased across the studied Brassica species. RSCU values indicated that both the genes had moderate codon usage frequency for selected amino acids. The evolutionary study confirmed that codon usage preference is similar within the species grouped into the same cluster for FAE1; however, B. nigra performed differently for FAD2.2 orthologue. The high ENC value, low Fop, and RSCU value highlighted that FAE1 and FAD2 genes had a low level of gene expression and moderate preference for codon usage across the Brassicas. In addition, neutrality plot, parity rule, and correspondence analysis revealed that natural selection pressure had significantly contributed to CUB for FAE1 genes, whereas mutation and selection pressure occurred for FAD2 genes. This study would help to decode codon optimization, improve the level of expression of exogenous genes, and transgenic engineering to increase fatty acid profiling for the betterment of seed oil in Brassica species.