Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers.

Background: Genomewide prediction estimates the genomic breeding values of selection candidates which can be utilized for population improvement and cultivar development. Ridge regression and deep learning-based selection models were implemented for yield and agronomic traits of 204 chile pepper genotypes evaluated in multi-environment trials in New Mexico, USA.

Results: Accuracy of prediction differed across different models under ten-fold cross-validations, where high prediction accuracy was observed for highly heritable traits such as plant height and plant width.

Knowledge, Attitudes, Practices, and Prevention Barriers Related to Childhood Lead Poisoning Among Nepali-Speaking Bhutanese Parents in Northeast Ohio, United States.

The study objectives were: (i) to develop and administer a survey to assess childhood lead poisoning (CLP) knowledge, attitudes, practices and prevention barriers (KAP-B) among the Nepali-Speaking Bhutanese (NSB) community in Northeast Ohio; and (ii) to examine the association between socio-demographic characteristics of NSB parents and their understanding of CLP as measured by the constructs of knowledge and attitudes. A Nepali language KAP-B questionnaire was developed and 200 NSB parents with at least one child ≤ 7 years of age from the Akron Metropolitan Area, Ohio were interviewed. NSB parents demonstrated a low level of knowledge about CLP prevention measures.

Relationship Between Primary Language Spoken at Home and Blood Lead Levels in Children from Northeast Ohio, United States: A Retrospective Cohort Study.

To estimate the prevalence and incidence of blood lead levels (BLL) ≥ 5 and ≥ 3.5 µg/dl and assess their association with primary language spoken at home in Northeast Ohio, U.S.

Determinants of obstetric fistula in Afghanistan: An analysis of the Demographic and Health Survey 2015.

Objective: To examine the reproductive, sociodemographic, and geographic factors associated with obstetric fistula, which is a significant but neglected health problem faced by women in low-income countries, in women in Afghanistan, where epidemiologic studies examining the determinants of obstetric fistula are currently lacking.

Methods: This cross-sectional study used data from a nationally representative sample of women collected through the Afghanistan Demographic and Health Survey 2015. Descriptive and binary and multivariable logistic regression analyses were performed to estimate the prevalence of obstetric fistula and describe and assess the risk factors associated with the condition.

Long-Acting Injectable Antipsychotic Use in Patients with Schizophrenia and Criminal Justice System Encounters.

Nonadherence to medication is prevalent in persons diagnosed with schizophrenia, thus increasing the likelihood of relapse, poor health outcomes, hospitalization, high treatment costs, and high rates of both violent and non-violent offenses. To assess the association between long-acting injectable (LAI) antipsychotic use and criminal justice system encounters in patients with schizophrenia or schizoaffective disorder. This retrospective follow-up study was conducted among patients aged ≥18 years treated for schizophrenia or schizoaffective disorder at a community mental health center in Akron, Ohio, between January 1, 2010, and June 15, 2016.

Single nucleotide polymorphisms reveal genetic diversity in New Mexican chile peppers (Capsicum spp.).

Background: Chile peppers (Capsicum spp.) are among the most important horticultural crops in the world due to their number of uses. They are considered a major cultural and economic crop in the state of New Mexico in the United States.

Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning.

Inferring trait networks from a large volume of genetically correlated diverse phenotypes such as yield, architecture, and disease resistance can provide information on the manner in which complex phenotypes are interrelated. However, studies on statistical methods tailored to multidimensional phenotypes are limited, whereas numerous methods are available for evaluating the massive number of genetic markers. Factor analysis operates at the level of latent variables predicted to generate observed responses.

Need for speed: manipulating plant growth to accelerate breeding cycles.

To develop more productive and resilient crops that are capable of feeding 10 billion people by 2050, we must accelerate the rate of genetic improvement in plant breeding programs. Speed breeding manipulates the growing environment by regulating light and temperature for the purpose of rapid generation advance. Protocols are now available for a range of short-day and long-day species and the approach is highly compatible with other cutting-edge breeding tools such as genomic selection.

Multi-trait Genomic Prediction Model Increased the Predictive Ability for Agronomic and Malting Quality Traits in Barley ( L.).

Plant breeders regularly evaluate multiple traits across multiple environments, which opens an avenue for using multiple traits in genomic prediction models. We assessed the potential of multi-trait (MT) genomic prediction model through evaluating several strategies of incorporating multiple traits (eight agronomic and malting quality traits) into the prediction models with two cross-validation schemes (CV1, predicting new lines with genotypic information only and CV2, predicting partially phenotyped lines using both genotypic and phenotypic information from correlated traits) in barley. The predictive ability was similar for single (ST-CV1) and multi-trait (MT-CV1) models to predict new lines.

Understanding the Genetic Basis of Spike Fertility to Improve Grain Number, Harvest Index, and Grain Yield in Wheat Under High Temperature Stress Environments.

Moderate heat stress accompanied by short episodes of extreme heat during the post-anthesis stage is common in most US wheat growing areas and causes substantial yield losses. Sink strength (grain number) is a key yield limiting factor in modern wheat varieties. Increasing spike fertility (SF) and improving the partitioning of assimilates can optimize sink strength which is essential to improve wheat yield potential under a hot and humid environment.

Cervical Cancer and Human Papillomavirus Vaccine Awareness Among Married Bhutanese Refugee and Nepali Women in Eastern Nepal.

This study examined the sexually transmitted infections (STIs), cervical cancer, and human papillomavirus virus (HPV) vaccine-related awareness and knowledge among married Bhutanese refugee and Nepali women living in eastern Nepal. Participants were recruited from a women's health camp in Jhapa District in eastern Nepal. A demographic and health survey with questions on STIs, cervical cancer and HPV vaccine was administered to consenting participants.

Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery.

Background: Automated phenotyping technologies are continually advancing the breeding process. However, collecting various secondary traits throughout the growing season and processing massive amounts of data still take great efforts and time. Selecting a minimum number of secondary traits that have the maximum predictive power has the potential to reduce phenotyping efforts.

Marker-Trait Associations for Enhancing Agronomic Performance, Disease Resistance, and Grain Quality in Synthetic and Bread Wheat Accessions in Western Siberia.

Exploiting genetically diverse lines to identify genes for improving crop performance is needed to ensure global food security. A genome-wide association study (GWAS) was conducted using 46,268 SNP markers on a diverse panel of 143 hexaploid bread and synthetic wheat to identify potential genes/genomic regions controlling agronomic performance (yield and 26 yield-related traits), disease resistance, and grain quality traits. From phenotypic evaluation, we found large genetic variation among the 35 traits and recommended five lines having a high yield, better quality, and multiple disease resistance for direct use in a breeding program.

Genetic diversity and population structure analysis of synthetic and bread wheat accessions in Western Siberia.

Recurrent selection and intercrossing between best of the best parents in each generation of breeding cycle resulted in a narrower genetic diversity in elite wheat (Triticum aestivum L.) germplasm. Therefore, we investigated diverse source of 143 synthetic and bread wheat accessions for identifying potentially rich genetic resources for improving the genetic diversity in wheat.

Genome-Wide Association Study for Multiple Biotic Stress Resistance in Synthetic Hexaploid Wheat.

Genetic resistance against biotic stress is a major goal in many wheat breeding programs. However, modern wheat cultivars have a limited genetic variation for disease and pest resistance and there is always a possibility of the evolution of new diseases and pests to overcome previously identified resistance genes. A total of 125 synthetic hexaploid wheats (SHWs; 2 = 6 = 42, AABBDD, L.

Elevated Blood Lead Levels Among Resettled Refugee Children in Ohio, 2009-2016.

To assess the prevalence of and the demographic factors for elevated blood lead level (EBLL; ≥ 5 µg/dL) at resettlement among newly admitted refugee children. This cross-sectional study used data from the postresettlement refugee medical screening of 5661 children resettled in Ohio from 2009 to 2016. We computed prevalence of EBLL and adjusted prevalence ratio with modified Poisson regression modeling.

Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS.

As one of the key crop traits, plant height is traditionally evaluated manually, which can be slow, laborious and prone to error. Rapid development of remote and proximal sensing technologies in recent years allows plant height to be estimated in more objective and efficient fashions, while research regarding direct comparisons between different height measurement methods seems to be lagging. In this study, a ground-based multi-sensor phenotyping system equipped with ultrasonic sensors and light detection and ranging (LiDAR) was developed.

Genome-Wide Association Study Reveals Novel Genomic Regions Associated with 10 Grain Minerals in Synthetic Hexaploid Wheat.

Synthetic hexaploid wheat (SHW; L. × Coss.) is a means of introducing novel genes/genomic regions into bread wheat ( L.

Genome-Wide Association Study Reveals Novel Genomic Regions for Grain Yield and Yield-Related Traits in Drought-Stressed Synthetic Hexaploid Wheat.

Synthetic hexaploid wheat (SHW; 2 = 6 = 42, AABBDD, L.) is produced from an interspecific cross between durum wheat (2 = 4 = 28, AABB, L.) and goat grass (2 = 2 = 14, DD, Coss.

Neighborhood Violence Impacts Disease Control and Surveillance: Case Study of Cali, Colombia from 2014 to 2016.

Arboviruses are responsible for a large burden of disease globally and are thus subject to intense epidemiological scrutiny. However, a variable notably absent from most epidemiological analyses has been the impact of violence on arboviral transmission and surveillance. Violence impedes surveillance and delivery of health and preventative services and affects an individual's health-related behaviors when survival takes priority.

Unlocking the novel genetic diversity and population structure of synthetic Hexaploid wheat.

Background: Synthetic hexaploid wheat (SHW) is a reconstitution of hexaploid wheat from its progenitors (Triticum turgidum ssp. durum L.; AABB x Aegilops tauschii Coss.

Factors Associated with the Presence of Strong Social Supports in Bhutanese Refugee Women During Pregnancy.

Social support may mitigate stress related to the refugee experience, including during resettlement. For refugee women, social support can play an important role during pregnancy. In-depth interviews were conducted within a sample of 45 Bhutanese refugee women.