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Climate-Smart Rice Breeding, 1 Ed.
出版済み 3週間でお届けいたします。
Author: Akansha Singh Publisher: Springer ISBN: 9789819770977 Cover: HARDCOVER Date: 2024年11月 DESCRIPTION This book covers all aspects of smart-breeding technologies in creating novel crop architecture to meet future rice demand. Several advanced crop breeding technologies like, marker-assisted backcross breeding, marker-assisted recurrent selection, genomic assisted breeding, haplotype breeding and genome editing technologies have been introduced and employed for rice productivity improvement. Use of artificial intelligence and machine learning in crop phenotype prediction is paving the way for climate-smart breeding. Chapters in this volume cover all these relevant topics. The global rice demand is estimated to rise to 555 and 827.86 million tons in 2035 for milled rice and paddy, respectively. Enhancing high-nutrition rice production under the pressure of global climate change conditions is a hard task for breeders. Changing climatic scenarios and extreme weather conditions have increased the incidence of various biotic and abiotic stresses. Also, every degree rise in global mean temperature causes 3.2 % reduction in rice yield globally. This creates an urgent need for developing high-yielding rice varieties to tackle the aggravated issue of food security. This book is meant for scientists, professionals, researchers, and students working on enhancing rice production through advanced plant-breeding technologies. TABLE OF CONTENTS Climate Change Impact on Rice Production and Breeding for Climate Resilient Rice Ramalingam Suresh, Aravindan Shanmugam, Sakthivel Viswabharathy, J. Bonipas Antony, Subburaj Samuthirapandi, Swaminathan Manonmani Untapped Rice Genetic Resources and Pre-breeding in Genomics Era Jitendra Kumar Tiwari, Ashish Kumar Tiwari Conservation and Development of Rice Germplasm for Natural Farming Anubhav Thakur, Akashdeep Singh, Narender Kumar Bharat Doubled Haploid Rice Breeding M. Tamilzharasi, D. Umamaheswari, J. Umabalan, T. Anandhan, V. Vengadessan Marker-Assisted Breeding for Rice Improvement Sadras Bhavana, Sheshanka Dugyala, Rachana Bagudam, C. Subha Lakshmi, K. Krishna Mohan Genome-Assisted Breeding and Genome-Wide Association Studies for Rice Improvement Lopamudra Singha, Prastuti Bhattacharyya, Parshant Kumar Sharma, Ritik Digamber Bisane, Vemula Anjula Krishna, Akansha Singh et al. Haplotype-Assisted Breeding in Rice U. S. Sree Vathsa Sagar, R. Pushpam, M. Raveendran, Vikas Kulkarni, B. Rajanna Genomic Selection for Phenotype Prediction in Rice Sakthi Anand Muthazhagu Kuppuraj, Bharathi Raja Ramadoss, Karthikeyan Adhimoolam, Vengadessan Vedachalam, Tamilzharasi Murugesan, Anandhan Tamilselvan Genome Editing for Trait-Specific Improvement in Rice Ambothi Rathnasamy Sakthi, Shobica Priya Ramasamy, Shubham Rajaram Salunkhe, Ameena Premnath, Anandhan Tamilselvan, Bharathi Raja Ramadoss High-Throughput Phenotyping Enabled Rice Improvement B. S. Harshitha, Aavula Naveen, H. A. Bhargavi, P. S. Basavaraj, M. Karthik Kumar Artificial Intelligence and Machine Learning for Rice Improvement Nitesh Kumar Sharma, Abhishek Anand, Neeraj Budhlakoti, Dwijesh Chandra Mishra, Girish Kumar Jha Fast-Forward Breeding in Rice Tushar Arun Mohanty, Puja Mandal, Dharmalingam Kumaresan, Manonmani Swaminathan Application of Next-Generation Sequencing Technology for Rice Improvement Vemula Anjula Krishna, Ritik Digamber Bisane, Amrit Prasad Poudel, Akansha Singh, Shravan Kumar Singh Regulatory Framework of Plant Variety Protection for Modernized Plant Breeding Approaches S. N. Vasudevan, Thota Joseph Raju, S. K. Pooja, B. T. Krishnaprasad, Geetha Govind
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