2 Works

Data from: pLARmEB: integration of least angle regression with empirical Bayes for multilocus genome-wide association studies

J. Zhang, Jian-Ying Feng, Yuan-Li Ni, Yang-Jun Wen, Yuan Niu, Cox Lwaka Tamba, Chao Yue, Qijian Song & Yuan-Ming Zhang
Multilocus genome-wide association studies (GWAS) have become the state-of-the-art procedure to identify quantitative trait nucleotides (QTNs) associated with complex traits. However, implementation of multilocus model in GWAS is still difficult. In this study, we integrated least angle regression with empirical Bayes to perform multilocus GWAS under polygenic background control. We used an algorithm of model transformation that whitened the covariance matrix of the polygenic matrix K and environmental noise. Markers on one chromosome were included...

Data from: Elevated CO2 induces substantial and persistent declines in forage quality irrespective of warming in mixedgrass prairie

David J. Augustine, Dana M. Blumenthal, Tim L. Springer, Daniel R. LeCain, Stacey A. Gunter & Justin D. Derner
Increasing atmospheric [CO2] and temperature are expected to affect the productivity, species composition, biogeochemistry, and therefore the quantity and quality of forage available to herbivores in rangeland ecosystems. Both elevated CO2 (eCO2) and warming affect plant tissue chemistry through multiple direct and indirect pathways, such that the cumulative outcomes of these effects are difficult to predict. Here, we report on a 7-year study examining effects of CO2 enrichment (to 600 ppm) and infrared warming (+1.5°C...

Registration Year

  • 2017

Resource Types

  • Dataset


  • Agricultural Research Service
  • Nanjing Agricultural University