Publications by authors named "D E Moreta"

Objectives: This report provides information about the public release of the 2018-2019 Maize G X E project of the Genomes to Fields (G2F) Initiative datasets. G2F is an umbrella initiative that evaluates maize hybrids and inbred lines across multiple environments and makes available phenotypic, genotypic, environmental, and metadata information. The initiative understands the necessity to characterize and deploy public sources of genetic diversity to face the challenges for more sustainable agriculture in the context of variable environmental conditions.

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Article Synopsis
  • Congenital anomalies are a significant global health concern, but data on their prevalence in the Caribbean, specifically the ABC islands (Aruba, Bonaire, and Curaçao), is limited.
  • A study was conducted to assess the prevalence of these anomalies using data from live births and stillbirths between 2008 and 2017, finding a total prevalence rate of 242.97 per 10,000 births, with Bonaire reporting the highest rates.
  • The study revealed that while the overall prevalence in the ABC islands is comparable to that of the French West Indies, it is lower than in the Northern Netherlands; specific anomalies like polydactyly were notably more prevalent in the ABC islands compared to other regions.
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Accurate prediction of the phenotypic outcomes produced by different combinations of genotypes, environments, and management interventions remains a key goal in biology with direct applications to agriculture, research, and conservation. The past decades have seen an expansion of new methods applied toward this goal. Here we predict maize yield using deep neural networks, compare the efficacy of 2 model development methods, and contextualize model performance using conventional linear and machine learning models.

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Brown midrib (BMR) maize (Zea mays L.) harbors mutations that result in lower lignin levels and higher feed digestibility, making it a desirable silage market class for ruminant nutrition. Northern leaf blight (NLB) epidemics in upstate New York highlighted the disease susceptibility of commercially grown BMR maize hybrids.

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Aim: This meta-analysis evaluates the use of cerebroplacental ratio (CPR) in predicting adverse perinatal outcome.

Methods: An electronic search of PubMed, Embase, Google scholar, Cochrane Library and Up-to-Date was done using variations of 'cerebroplacental ratio' and 'cerebroumbilical ratio'. We included studies where CPR was measured and postpartum outcomes were available.

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