Sequential Selection Scheme Research Articles

Estimating genetic gains for tolerance to stress combinations in tropical maize hybrids.

Maize is a strategic food crop in sub-Saharan Africa. However, most maize growing tropical savannas particularly in West and Central African experience the occurrence of frequent droughts and Striga infestation, resulting in 30-100% yield losses. This production zones need maize cultivars that combine tolerance to the two stresses. IITA in collaboration with national partners has thus employed a sequential selection scheme to incorporate both drought tolerance and Striga resistance in topical maize hybrids using reliable screening protocols. The main objective of the present study was therefore to use grain yield and other agronomic traits recorded in regional collaborative hybrid trials conducted for 8years under manged stressful and non-stressful conditions and across rainfed field environments to estimate genetic gains in grain yields using mixed model analyses. The results showed significant (p < 0.05) annual yield gains of 11.89kgha-1 under manged drought stress (MDS) and 86.60kgha-1 under Striga infestation (STRIN) with concomitant yield increases of 62.65kgha-1 under full irrigation (WW), 102.44kgha-1 under Striga non-infested (STRNO) conditions and 53.11kgha-1 across rainfed field environments. Grain yield displayed significant but not strong genetic correlation of 0.41 ± 0.07 between MDS and STRIN, indicating that gene expression was not consistent across the two stress conditions. Furthermore, grain yield recorded in MET had significant moderate genetic correlations of 0.58 ± 0.06 and 0.44 ± 0.07It with MDS and STRIN, respectively. These results emphasize the need to screen inbred linens under both stress conditions to further enhance the rate of genetic gain in grain yield in hybrids for areas where the two stresses co-occur. Nonetheless, this study demonstrated that the sequential selection scheme has been successful in generating hybrids with dependable yields that can reduce chronic food deficits in rural communities experiencing simultaneous presence of drought and S. hermonthica infestation in their production fields.

Stacking Tolerance to Drought and Resistance to a Parasitic Weed in Tropical Hybrid Maize for Enhancing Resilience to Stress Combinations.

Maize is a food security crop cultivated in the African savannas that are vulnerable to the occurrence of drought stress and Striga hermonthica infestation. The co-occurrence of these stresses can severely damage crop growth and productivity of maize. Until recently, maize breeding in International Institute of Tropical Agriculture (IITA) has focused on the development of either drought tolerant or S. hermonthica resistant germplasm using independent screening protocols. The present study was therefore conducted to examine the extent to which maize hybrids simultaneously expressing resistance to S. hermonthica and tolerance to drought (DTSTR) could be developed through sequential selection of parental lines using the two screening protocols. Regional trials involving 77 DTSTR and 22 commercial benchmark hybrids (STR and non-DTSTR) were then conducted under Striga-infested and non-infested conditions, managed drought stress and fully irrigated conditions as well as in multiple rainfed environments for 5 years. The observed yield reductions of 61% under managed drought stress and 23% under Striga-infestation created desirable stress levels leading to the detection of significant differences in grain yield among hybrids at individual stress and non-stress conditions. On average, the DTSTR hybrids out-yielded the STR and non-DTSTR commercial hybrids by 13–19% under managed drought stress and fully irrigated conditions and by −4 to 70% under Striga-infested and non-infested conditions. Among the DTSTR hybrids included in the regional trials, 33 were high yielders with better adaptability across environments under all stressful and non-stressful testing conditions. Twenty-four of the 33 DTSTR hybrids also yielded well across diverse rainfed environments. The genetic correlations of grain yield under managed drought stress with yield under Striga-infestation and multiple rainfed environments were 0.51 and 0.57, respectively. Also, a genetic correlation between yields under Striga-infestation with that recorded in multiple rainfed environments was 0.58. These results suggest that the sequential selection scheme offers an opportunity to accumulate desirable stress-related traits in parents contributing to superior agronomic performance in hybrids across stressful and diverse rainfed field environments that are commonly encountered in the tropical savannas of Africa.

A 79-dB SNR 1.1-mW Fully Integrated Hearing Aid SoC

For low-power hearing aid device application, a fully integrated optimized hearing aid SoC structure is proposed in this paper. The SoC consists of high-resolution, low-power analog front-end (AFE), time-division-multiplexed power-on-reset circuit, charge pump, digital signal processing (DSP) platform, and Class-D amplifier. A novel peak-statistical algorithm is proposed to track signal amplitude and adjust automatic gain control loop gain precisely. A comparative DWA is applied to break the correlation of in-band tone and sequential selection scheme, which realizes second-order noise shaping and suppresses harmonic effectively. The SoC has been implemented with 0.13 µm CMOS process. By measurement, it shows that the peak signal-to-noise ratio (SNR) of AFE is 82.6 dB and peak SNR of Class-D amplifier is 79.8 dB. Also, three main algorithms of wide dynamic range compression, noise reduction, and feedback cancelation are executed through DSP platform. With 1 V supply voltage, total SoC power is 1.1 mW and core area is 9.3 mm2. Based on our SoC, a hearing aid device prototype is produced that shows its great potential for mass manufacture in the future.

Pattern recognition algorithms on FPGAs and CPUs for the ATLAS LVL2 trigger

Recent studies of the level-two (LVL2) trigger of the ATLAS detector show that it will be possible to run the trigger algorithms at high luminosity with a reasonable number of general-purpose processors, using a sequential selection scheme and guidance from the Region-of-Interest (RoI) provided by the LVL1 trigger. The computing power requirements for B-physics, which is studied at low luminosity, are much greater than those at high luminosity as there is no LVL1-guidance for the track finding algorithms. Instead, track finding is performed for the entire Inner Detector volume. Currently, 2500 commodity CPUs would be required to supply the necessary computing power for the B-physics trigger. We describe a system of only 200 computing nodes which would be capable of performing the B-physics triggering. Each of these nodes is made up of a commodity PC and a FPGA co-processor board. Each node processes an entire event. The different tasks are allocated to the appropriate hardware device (CPU or FPGA). Track reconstruction requires a variety of different steps, some of which are suited to parallel processing, whereas others require sequential execution. For some tasks, floating-point arithmetic is needed. The flexibility of the PC/FPGA combination meets these varied requirements well.

In vitro Sequential Selection and Characterization of Human Immunodeficiency Virus Type 1 Variants with Reduced Sensitivity to Hydroxyethylurea Protease Inhibitors

In vitro resistance to the human immunodeficiency virus (HIV) protease inhibitors SC-52151 and SC-55389A was evaluated in an in vitro sequential selection scheme. HIVRF variants were selected for reduced sensitivity to SC-52151 and subsequently passaged in both SC-52151 and a structurally different hydroxyethylurea protease inhibitor, SC-55389A, to select for dual-resistant virus. SC-52151 selection alone resulted in a 23-fold reduction in virus sensitivity whereas selection in both inhibitors resulted in 34- and eightfold reductions in virus sensitivity to SC-52151 and SC-55389A, respectively. Sequence analysis of the protease gene revealed that SC-52151 -resistant virus had a Gly to Val substitution at residue 48 (G48V) and, in 58% of subclones, an accompanying Val to Ala substitution at residue 82 (V82A). Dual-resistant virus had both G48V and V82A substitutions present and, in the majority of subclones, an lle to Thr and/or Leu to Pro substitution at residues 54 and 63, respectively. Drug susceptibility assays with limiting dilution-cloned HIVRFR (G48V/V82A) and HIVRFRR (G48V/154T/L63P/V82A) viruses demonstrated moderate to high-level cross-resistance to additional structurally non-related protease inhibitors. Recombinant HIVHXB2 proviral clones with G48V, L63P and V82A substitutions showed that one active site mutation was permissible, but the presence of both G48V and V82A substitutions together significantly reduced infectious virus production. Insight into the contributions of the observed substitutions to drug resistance is presented in molecular modelling studies.

Gene Flow Technique for Stage‐Structured Populations

AbstractThe gene flow technique for predicting response to selection with overlapping generations is formulated in terms of demographic parameters for stage‐structured population and illustrated with a sequential selection scheme in dairy cows.

Selection for Fiber and Protein Concentration in a Diverse Alfalfa Population1

A diverse alfalfa population derived from crosses within and among the species Medicago sativa L., M. falcata L., and M. caerulea Less. was evaluated for variation in acid‐detergent fiber (ADF) and crude protein (CP) concentration. A sequential selection scheme based on first and second harvest ADF, CP, and yield was developed to identify vigorous plants with differing levels of the nutritional characteristics. An analysis of two five‐parent diallel sets indicated that variation in ADF and CP concentration among crosses was accounted for primarily by general combining ability. Four experimental synthetics were grown in small plots and evaluated for yield and nutritional quality. The low fiber and high protein synthetics averaged 5.7% (1.9 units) lower in ADF, and 7.2% (1.5 units) higher in CP than the cultivars Vernal and Honeoye