Estimating the effects of carbon dioxide, temperature and nitrogen on grain protein and grain yield using meta-analysis
Paper
Paper/Presentation Title | Estimating the effects of carbon dioxide, temperature and nitrogen on grain protein and grain yield using meta-analysis |
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Presentation Type | Paper |
Authors | Al-Hadeethi, Ikhlas (Author), Li, Yan (Animator), Seneweera, Saman (Author) and Al-Hadeethi, Hanan (Author) |
Editors | Frangos, Christos C. |
Journal or Proceedings Title | Proceedings of the 1st International Conference on Quantitative, Social, Biomedical and Economic Issues 2017 (ICQSBEI2017) |
Number of Pages | 12 |
Year | 2017 |
Place of Publication | Athens, Greece |
ISBN | 9786188298002 |
Web Address (URL) of Paper | https://books.google.com.au/books/about/Proceedings_of_the_1st_International_Con.html?id=BSUsDwAAQBAJ&redir_esc=y |
Conference/Event | 1st International Conference on Quantitative, Social, Biomedical and Economic Issues 2017 (ICQSBEI2017) |
Event Details | 1st International Conference on Quantitative, Social, Biomedical and Economic Issues 2017 (ICQSBEI2017) Event Date 29 to end of 30 Jun 2017 Event Location Athens, Greece |
Abstract | As meta-analysis is an effective tool for assisting decision-makers, there has been a recent increase in demand for its use to solve controversies regarding important human life issues. Meta-analysis allows a thematic appraisal of evidence, which can lead to a resolution of suspicions and disagreements. Carbon dioxide, temperature, and nitrogen are considered as the most important factors influencing crop production. These environmental variables significantly affect grain yield and grain protein concentrations, which are key determinants of grain quality. Consequently, they affect human and animal nutrition. A more detailed understanding of how these environmental factors contribute towards the grain protein content is essential for addressing global nutrient security in the changing climate. To our knowledge, there have been no studies conducted to assess the effect of CO2, temperature and nitrogen supply on grain protein and grain yield using meta-analysis. In addition, performance evaluations were mainly conducted in previous studies through traditional statistical measures, and only the combined effect of CO2, temperature and nitrogen on grain protein and grain yield were analysed. Therefore, this study focuses on estimating the effects of CO2, temperature and nitrogen on grain protein and grain yield using meta-analysis. In this work, a new approach based on the dplyr package in R is proposed for organizing and categorizing the research data for meta-analysis. The performances of the proposed methods are evaluated using various measurements, such as the Cochran's Q statistic and its p-value, I2 statistic, and |
Keywords | meta-analysis, dplyr package, grain protein, grain yield |
ANZSRC Field of Research 2020 | 490501. Applied statistics |
Public Notes | No evidence of copyright restrictions preventing deposit of Accepted Version. |
Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
Centre for Crop Health | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q461z/estimating-the-effects-of-carbon-dioxide-temperature-and-nitrogen-on-grain-protein-and-grain-yield-using-meta-analysis
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