Groundwater influence on water budget of a small constructed floodplain wetland in the Ridge and Valley of Virginia, USA by Andrea L. Ludwig, W. Cully Hession

“…Study region: A floodplain in the headwaters of a tributary to the Chesapeake Bay, Ridge and Valley of the Eastern United States. …”
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Application of a SWAT Model for Supporting a Ridge-to-Reef Framework in the Pago Watershed in Guam by Myeong-Ho Yeo, Adriana Chang, James Pangelinan

“…This study implemented experimental and numerical approaches for supporting the Pago Bay ridge-to-reef management program. Water quality tests for turbidity and inorganic dissolved nitrogen (IDN) were performed using water samples collected from four sites within the Pago Watershed. …”
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Case report: The use of netarsudil to improve corneal edema after laser peripheral iridotomy and Descemet's membrane endothelial keratoplasty by Sabrina L. Chen, Stephen A. LoBue, Himani Goyal

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Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.) by Prabina Kumar Meher, Ajit Gupta, Sachin Rustgi, Reyazul Rouf Mir, Anuj Kumar, Jitendra Kumar, Harindra Singh Balyan, Pushpendra Kumar Gupta

“…The predictions were obtained independently for each of the two environments after adjusting for the local effects and across environments after adjusting for the environmental effects. The Bayes ridge regression (BayesRR) model outperformed the other seven models, whereas BayesLASSO (BayesL) was the least efficient. …”
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Historical Datasets Support Genomic Selection Models for the Prediction of Cotton Fiber Quality Phenotypes Across Multiple Environments by Washington Gapare, Shiming Liu, Warren Conaty, Qian-Hao Zhu, Vanessa Gillespie, Danny Llewellyn, Warwick Stiller, Iain Wilson

“…In this study, we evaluated the performance of Bayes Ridge Regression, BayesA, BayesB, BayesC and Reproducing Kernel Hilbert Spaces regression models. …”
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Use of genomic selection and breeding simulation in cross prediction for improvement of yield and quality in wheat (Triticum aestivum L.) by Ji Yao, Dehui Zhao, Xinmin Chen, Yong Zhang, Jiankang Wang

“…In this study, we first compared five models (RR-BLUP, Bayes A, Bayes B, Bayes ridge regression, and Bayes LASSO) for genomic selection (GS) with respect to prediction of usefulness of a biparental cross and two criteria for parental selection, using simulation. …”
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