Smart Breeding

聪明的繁殖:作物改良的分子干预与进展

遗传学

原   价:
2011.25
售   价:
1609.00
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作      者
出  版 社
出版时间
2024年02月13日
装      帧
精装
ISBN
9781774913314
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页      码
446
开      本
234 x 156 mm (6.14 x 9.21
语      种
英文
版      次
1 ed.
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图书简介
This new volume focuses on novel breeding and biotechnological approaches for crop improvement, covering recent advances in molecular breeding and plant breeding, such as pre-breeding, reverse breeding, allele mining, next-generation sequencing, etc. The authors consider the important necessity and development of climate-resilient crops that can withstand hostility or adversities of climate without substantially compromising yield and discuss ways to mitigate plant stress.The recent developments in breeding and biotechnological approaches concerning crop improvement that are discussed in the book include molecular markers, their genesis, and their significant applications for crop improvement; QTL mapping, a modern breeding approach for mapping quantitative traits; pulse molecular breeding and genomics; and approaches for precise gene alterations in the genome of organisms by using genome editing.Other techniques include reverse breeding, a technique that allows breeders to develop parental lines directly from the heterozygous plant within a shorter time frame; pre-breeding approaches for biotic and abiotic stress management in crop plants; allele mining as a way to find existing variations in an organism’s gene pool by scanning the entire gene; marker-assisted selection, where molecular markers have played a significant role in accelerating breeding programs; and next-generation sequencing (NGS) platforms in crop improvement, where the authors summarize the technical know-how of each sequencing platform and its merits and demerits.The book introduces the design and importance of Mutmap and its variant in modern breeding, a novel gene mapping approaches that allows rapid identification of causal nucleotide changes of mutants by whole-genome resequencing.Examples and case studies of the various approaches are included as well, with several examples of marker-assisted selection of rice and maize crop and other agriculturally impo
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