Analysis of Variance, Design, and Regression (eBook)

Linear Modeling for Unbalanced Data, Second Edition
Artikelnummer: 978-1-4987-3022-8
Einband: Adobe Digital Editions
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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Applied Mathematics and Omics to Assess Crop Genetic Resources for Climate Change Adaptive Traits focuses on practical means and approaches to further the use of genetic resources for mitigating the effects of climate change and improving crop production. Genetic diversity in crop plants is being further explored to increase yield, disease resistance, and nutritional value by employing recent advances in mathematics and omics technologies to promote the adaptation of crops to changing climatic conditions.This book presents a broad view of biodiversity and genetic resources in agriculture and provides answers to some current problems. It also highlights ways to provide much-needed information to practitioners and innovators engaged in addressing the effects of global climate change on agriculture. The book is divided into sections that cover:The implications of climate change for drylands and farming communitiesThe potential of genetic resources and biodiversity to adapt to and mitigate climate change effectsApplications of mathematics and omics technologiesGenomics and gene identificationWe are in the midst of significant changes in global climates, and its effects are already being felt throughout the world. The increasing frequency of droughts and heat waves has had negative impacts on agricultural production, especially in the drylands of the world. This book shares the collective knowledge of leading scientists and practitioners, giving readers a broader appreciation and heightened awareness of the stakes involved in improving and sustaining agricultural production systems in the face of climate change.
Applied Mathematics and Omics to Assess Crop Genetic Resources for Climate Change Adaptive Traits focuses on practical means and approaches to further the use of genetic resources for mitigating the effects of climate change and improving crop production. Genetic diversity in crop plants is being further explored to increase yield, disease resistance, and nutritional value by employing recent advances in mathematics and omics technologies to promote the adaptation of crops to changing climatic conditions.This book presents a broad view of biodiversity and genetic resources in agriculture and provides answers to some current problems. It also highlights ways to provide much-needed information to practitioners and innovators engaged in addressing the effects of global climate change on agriculture. The book is divided into sections that cover:The implications of climate change for drylands and farming communitiesThe potential of genetic resources and biodiversity to adapt to and mitigate climate change effectsApplications of mathematics and omics technologiesGenomics and gene identificationWe are in the midst of significant changes in global climates, and its effects are already being felt throughout the world. The increasing frequency of droughts and heat waves has had negative impacts on agricultural production, especially in the drylands of the world. This book shares the collective knowledge of leading scientists and practitioners, giving readers a broader appreciation and heightened awareness of the stakes involved in improving and sustaining agricultural production systems in the face of climate change.
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VerlagChapman and Hall/CRC
EinbandAdobe Digital Editions
Erscheinungsjahr2018
Seitenangabe610 S.
AusgabekennzeichenEnglisch
Masse0 KB
PlattformEPUB
ReiheChapman & Hall/CRC Texts in Statistical Science
AutorChristensen, Ronald

Alle Bände der Reihe "Chapman & Hall/CRC Texts in Statistical Science"

Über den Autor Ronald Christensen

Ronald Christensen is a Distinguished Professor of Statistics at the University of New Mexico. He is well known for his work on the theory and application of statistical models having linear structure. In addition to numerous technical articles, he is the author of Plane Answers to Complex Questions: The Theory of Linear Models; Advanced Linear Modeling: Statistical Learning and Dependent Data; Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data and coauthor of Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians. Dr. Christensen is a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics. His is a past editor of The American Statistician and a past chair of the ASA's Section on Bayesian Statistical Science.

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