Whites' perceptions of biracial individuals' race shift when biracials speak out against bias

Previous research suggests that a person’s racial identity shapes the way others respond when that person speaks out against racial prejudice. In the present research, we consider instead how speaking out against racial prejudice shapes people’s impressions of a confronter’s racial identity, such as experiences with discrimination, stereotype enactment, and even phenotype. Two experiments found that White perceivers evaluated a Black/White biracial person who spoke out against (versus remained silent to) racial prejudice as more stigmatized and Black-identified, and as having more stereotypically Black (vs. White) preferences and Black (vs. White) ancestry when they confronted. The faces of biracial confronters (vs. non-confronters) were also recalled as more phenotypically Black (vs. White; Study 2). This evidence suggests that speaking out against bias colors Whites’ impressions of a biracial target across both subjective and objective measures of racial identity. Implications for interracial interactions and interpersonal perception are discussed

A growth mindset frame increases opting in to reading information about bias

We explore the conditions under which people will opt in to reading information about bias and stereotypes, a key precursor to the types of self-directed learning that diversity and anti-bias advocates increasingly endorse. Across 1 meta-analysis (total N = 1,122; 7 studies, 5 pre-registered) and 2 pre-registered experiments (total N = 1,717), we identify a condition under which people opt in to reading more about implicit bias and stereotypes. People randomly assigned to read a growth, rather than fixed, mindset frame about bias opted in to read more information about stereotypes and implicit bias (Study 1, Study 3). The mechanism that drove these effects was individuals’ construal of the task as a challenge (Studies 2-3). Our findings offer insight into how to promote voluntary engagement with information about stereotypes and biases. We discuss how this work advances the study of mindsets and diversity science

An exploratory investigation of Americans' expression of gender bias before and after the 2016 presidential election

Did the 2016 U.S. presidential election’s outcome affect Americans’ expression of gender bias? Drawing on theories linking leadership with intergroup attitudes, we proposed it would. A pre-registered exploratory survey of two independent samples of Americans pre- and post-election (Ns=1,098 and 1,192) showed no pre-post differences in modern sexism, concern with the gender pay gap, or perceptions of gender inequality and progress overall. However, supporters of Donald Trump (but not of Hillary Clinton) expressed greater modern sexism post- versus pre-election – which in turn predicted reporting lower disturbance with the gender pay gap, perceiving less discrimination against women but more against men, greater progress toward gender equality, and greater female representation at top levels in the U.S. Results were reliable when evaluated against four robustness standards, thereby offering suggestive evidence of how historic events may affect gender-bias expression. We discuss the theoretical implications for intergroup attitudes and their expression

Monitoring erosive toothwear: BEWE, a simple tool to protect patients and the profession.

Erosive tooth wear is the third most commonly observed oral condition after caries and periodontal disease, with a prevalence similar to that of dentine hypersensitivity. However, it is not a condition that is routinely screened, or monitored, as part of the standard dental examination. Following a meeting held in 2018, this paper considers the outlook for erosive tooth wear and the need for dental professionals to monitor for signs of the condition as part of an oral health assessment, to provide protection for patients and the profession. The use of the basic erosive wear examination (BEWE) is proposed as a simple screening tool designed to detect erosive tooth wear in clinical practice

The maintenance gap: a new theoretical perspective on the evolution of aging

One of the prevailing theories of aging, the disposable soma theory, views aging as the result of the accumulation of damage through imperfect maintenance. Aging, then, is explained from an evolutionary perspective by asserting that this lack of maintenance exists because the required resources are better invested in reproduction. However, the amount of maintenance necessary to prevent aging, ‘maintenance requirement’ has so far been largely neglected and has certainly not been considered from an evolutionary perspective. To our knowledge we are the first to do so, and arrive at the conclusion that all maintenance requirement needs an evolutionary explanation. Increases in maintenance requirement can only be selected for if these are linked with either higher fecundity or better capabilities to cope with environmental challenges to the integrity of the organism. Several observations are suggestive of the latter kind of trade-off, the existence of which leads to the inevitable conclusion that the level of maintenance requirement is in principle unbound. Even the allocation of all available resources to maintenance could be unable to stop aging in some organisms. This has major implications for our understanding of the aging process on both the evolutionary and the mechanistic level. It means that the expected effect of measures to reallocate resources to maintenance from reproduction may be small in some species. We need to have an idea of how much maintenance is necessary in the first place. Our explorations of how natural selection is expected to act on the maintenance requirement provides the first step in understanding this

Mapping Quantitative Trait Loci Controlling High Iron and Zinc Content in Self and Open Pollinated Grains of Pearl Millet [Pennisetum glaucum (L.) R. Br.]

Pearl millet is a multipurpose grain/fodder crop of the semi-arid tropics, feeding many of the world’s poorest and most undernourished people. Genetic variation among adapted pearl millet inbreds and hybrids suggests it will be possible to improve grain micronutrient concentrations by selective breeding. Using 305 loci, a linkage map was constructed to map QTLs for grain [Fe] and [Zn] using replicated samples of 106 pearl millet RILs (F6) derived from ICMB 841-P3 × 863B-P2. The grains of the RIL population were evaluated for Fe and Zn concentration using atomic absorption spectrophotometer. Grain mineral concentrations ranged from 28.4-124.0 ppm for Fe and 28.7-119.8 ppm for Zn. Similarly,grain Fe and Zn in open pollinated seeds ranged between 22.4-77.4 and 21.9-73.7 ppm, respectively. Mapping with 305 (96 SSRs; 208 DArT) markers detected seven linkage groups covering 1749 cM (Haldane) with an average intermarker distance of 5.73 cM. On the basis of two environment phenotypic data, two co-localized QTLs for Fe and Zn density on LG 3 were identified by composite interval mapping (CIM). Fe QTL explained 19% phenotypic variation, whereas the Zn QTL explained 36% phenotypic variation. Likewise for open pollinated seeds, the QTL analysis led to identification of two QTLs for grain Fe density on LG 3 and 5, and two QTLs for grain Zn density on LG 3 and 7. The total phenotypic variance for Fe and Zn QTLs in open pollinated seeds was 16% and 42%, respectively. Analysis of QTL × QTL and QTL × QTL× environment interactions indicated no major epistasis

Mapping grain iron and zinc content QTLs in an Iniadi-derived immortal population of pearl millet

Pearl millet is a climate-resilient nutritious crop requiring low inputs, and is capable of giving economic returns in marginal agro-ecologies. In this study, we report large effect iron (Fe) and zinc (Zn) content QTLs using DArT arrays and SSRs to generate a genetic linkage map using 317 RIL population derived from (ICMS 8511-S1-17-2-1-1-B-P03 ? AIMP 92901-S1-183-2-2-B-08) cross. The base map (7 LGs) of 196 loci was 964.2 cM (Haldane). AIMP 92901-S1-183-2-2-B-08 is a high grain Fe and Zn line, an Iniadi parent tracing its origin to the Togolese Republic, West Africa. QTL analysis revealed a large number of QTLs for grain iron (Fe) and zinc (Zn) content. The concentration of grain Fe in the RIL population ranged between 20 and 131 ppm, and Zn from 18-110 ppm. A total of 19 QTLs for Fe and Zn were detected, of which 11 were for Fe and 8 were for Zn. The portion of observed phenotypic variance explained by different QTLs for grain Fe and Zn concentrations varied between 9.0-31.9% (cumulative 74%) and 9.4-30.4% (cumulative 65%), respectively. Three large effect QTLs for both minerals were co-mapped in this population - one on Linkage group (LG) 1 and the remaining two on LG7. The favourable alleles for QTLs of both the mineral micronutrients were contributed by the male parent (AIMP 92901-deriv-08). Three putative epistasis interactions were observed for Fe while single digenic interaction was for Zn. The reported QTLs may be useful in marker-assisted selection programs for seed and restorer parent breeding and population improvement programs in pearl millet.authorsversionPeer reviewe

Mapping QTLs Controlling Flowering Time, Plant Height, Panicle length and Grain Mass in Pearl Millet [Pennisetum glaucum (L.) R. Br.]

Pearl millet is an important cereal of arid- and semi-arid regions, and can endure dry conditions but experiences drought stress during post-flowering growth. Exploiting the bold seeded semi-dwarf early flowering genotypes in pearl millet is a key breeding strategy to enhance yield and for adequate food in resource-poor zones. Genetic variation for agronomic traits of pearl millet inbreds can be used to dissect complex traits through QTL mapping. Quantitative trait locus (QTL) mapping for 50% flowering time, plant height, panicle length, and grain mass (self and open pollinated seeds) was performed in recombinant inbred line (RIL) population, ICMB 841-P3 ? 863B-P2. Correlations between traits were also performed and significantly negative association between plant height and TGM was observed. High heritabilities (>0.6) were recorded for all traits. A total of 50 QTLs that affected above traits were detected. Six putative QTLs for 50% flowering time were identified on five chromosomes. One QTL on LG3 were common between flowering time and plant height. Three major QTLs for panicle length, one each on LG1, LG2 and LG6B were detected.The major QTL for TGM_self on LG 6B had a partial R2 of 23.8% and 0.8 additive effects.The total phenotypic variance for 50% FT, TGM_self, and panicle length was 23.2% (LOD- 56.28), 22.3% (LOD- 5.96) and 59.4% (LOD- 52), respectively.A total of 21 digenic interactions were demonstrated for 50%FT (R2=18%-40%) and PL (R2publishersversionPeer reviewe