No abstract

No abstract

Combining ability for yield and its related traits was studied in 13 barley genotypes and their F 1 progenies obtained through line x tester mating design. Significant differences for most of the traits in both gca and sca components revealed the importance of both additive and non-additive gene actions with the predominant effect of nonadditive gene action. Among parents, lines DWRB 134, BH 902 and RD2919 emerged as good general combiner for yield and important component traits whereas DWRUB 52 was identified as the best tester. Hence, these are considered as good general combiners for deriving desirable transgressive segregants for specific characters. However, line BH 902 emerged as good general combiner for maximum number of yield contributing traits i.e., peduncle length, spike length, awn length, productive tillers per plant, flag leaf area, number of grains per spike, weight of spike, 1000 grain weight, biological yield per plant and grain yield per plant. Among thirty crosses, seven displayed significant and positive specific combining ability (sca) effects for grain yield. Out of these seven crosses, four hybrids viz., BH 976 × RD 2849, DWRB 134 × DWRUB 52, BH 965 × DWRUB 52, BH 902 ×DWRB 101, were identified as the best promising combinations having good specific combining ability effects along with high per se performance for grain yield as well as other attributing characters in desired direction. The estimates of general combining ability (gca) effects as a whole suggested that if most of the characters are to be improved, inclusion of F1 hybrids showing high sca in crop improvement program and parents with good gca, into multiple crosses, bi-parental mating, and diallel selective mating could prove a worthwhile approach for tangible advancement of grain yield in barley..

Somatic cell nuclear transfer technique (SCNT) has proved to be an outstanding method of multiplication of elite animals but accompanied with low efficiency and live birth rate of cloned animals. Epigenetic alterations of DNA has been one of the culprits behind this issue. Cloned embryos are found to deviate slightly from regular pattern of demethylation and re-methylation at the time of nuclear reprogramming and embryonic development when compared with embryos produced by in vitro fertilization (IVF). Thus, the present study was aimed at evaluating global DNA methylation profiles of cloned embryos at 2-cell, 8-cell and blastocyst stages and compare it with corresponding stages of embryos produced by IVF by using MeDIP-Sequencing on Illumina-based platform. We found out that cloned embryos exhibited significantly different DNA methylation pattern as compared to IVF embryos with respect to distribution of differentially methylated regions in different components of genome, CpG islands distribution and methylation status, gene ontological profiles and pathways affected throughout the developmental stages. The data generated from MeDIP-Seq was validated at blastocyst stage cloned and IVF embryos by bisulfite-sequencing PCR on five randomly selected gene regions.

Somatic cell nuclear transfer technique (SCNT) has proved to be an outstanding method of multiplication of elite animals but accompanied with low efficiency and live birth rate of cloned animals. Epigenetic alterations of DNA has been one of the culprits behind this issue. Cloned embryos are found to deviate slightly from regular pattern of demethylation and re-methylation at the time of nuclear reprogramming and embryonic development when compared with embryos produced by in vitro fertilization (IVF). Thus, the present study was aimed at evaluating global DNA methylation profiles of cloned embryos at 2-cell, 8-cell and blastocyst stages and compare it with corresponding stages of embryos produced by IVF by using MeDIP-Sequencing on Illumina-based platform. We found out that cloned embryos exhibited significantly different DNA methylation pattern as compared to IVF embryos with respect to distribution of differentially methylated regions in different components of genome, CpG islands distribution and methylation status, gene ontological profiles and pathways affected throughout the developmental stages. The data generated from MeDIP-Seq was validated at blastocyst stage cloned and IVF embryos by bisulfite-sequencing PCR on five randomly selected gene regions.