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This book reviews the latest advances in multiple fields of plant biotechnology and the opportunities that plant genetics, genomics and molecular biology have offered for agriculture improvement. Advanced technologies can dramatically enhance our capacity in understanding the molecular basis of traits and utilizing the available resources for accelerated development of high yielding, nutritious, input-use efficient and climate-smart crop varieties. In this book, readers will discover the significant advances in plant genetics, structural and functional genomics, trait and gene discovery, transcriptomics, proteomics, metabolomics, epigenomics, nanotechnology and analytical & decision support tools in breeding. This book appeals to researchers, academics and other stakeholders of global agriculture.
The Editorial Office of Frontiers in Plant Science would like to thank all the Chief Editors, Associate Editors and Review Editors that played an integral part in Frontiers’ innovative Collaborative Peer-Review process in 2020. In particular, we would like to recognize and thank Prof. Joshua L. Heazlewood – our now former Field Chief Editor, for his commitment, support and enthusiasm for the Plant Science field. Josh’s dedication and leadership has helped Frontiers in Plant Science become the most cited journal in the field with a strong editorial community. Looking forward, we’re excited to welcome Prof. Yunde Zhao, as our new Field Chief Editor in 2021. Having been with Frontiers in Plant Science since 2017, Yunde has contributed extensively to the development of the journal and will continue to ensure the journal goes from strength to strength.
This book focuses on the biophysical aspects of tip growth: How do physical parameters like pressure, water potential, electrical fields, or ion currents contribute to and influence this specialized and highly dynamic form of cell growth? It provides an updated and balanced overview of the current state of knowledge and future research perspectives regarding how pollen tubes’ growth is driven and regulated by molecular interactions underlying the cellular processes. The individual chapters address topics ranging from molecular biophysical concepts to comprehensive omic studies and computational modeling of the tip growth process. In addition, a chapter on root hair cells is included to pro...
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This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.