Natural Variation in Crops: Realized Understanding, Continuing Promise
Crops feed the world's population and shape human civilization. The improvement of crop productivity has been ongoing for almost 10,000 years and has evolved from an experience-based to a knowledge-driven practice over the past three decades. Natural alleles and their reshuffling are long-stand...
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| Published in | Annual review of plant biology |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
17.06.2021
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| Online Access | Get more information |
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| Abstract | Crops feed the world's population and shape human civilization. The improvement of crop productivity has been ongoing for almost 10,000 years and has evolved from an experience-based to a knowledge-driven practice over the past three decades. Natural alleles and their reshuffling are long-standing genetic changes that affect how crops respond to various environmental conditions and agricultural practices. Decoding the genetic basis of natural variation is central to understanding crop evolution and, in turn, improving crop breeding. Here, we review current advances in the approaches used to map the causal alleles of natural variation, provide refined insights into the genetics and evolution of natural variation, and outline how this knowledge promises to drive the development of sustainable agriculture under the dome of emerging technologies. Expected final online publication date for the
, Volume 72 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates. |
|---|---|
| AbstractList | Crops feed the world's population and shape human civilization. The improvement of crop productivity has been ongoing for almost 10,000 years and has evolved from an experience-based to a knowledge-driven practice over the past three decades. Natural alleles and their reshuffling are long-standing genetic changes that affect how crops respond to various environmental conditions and agricultural practices. Decoding the genetic basis of natural variation is central to understanding crop evolution and, in turn, improving crop breeding. Here, we review current advances in the approaches used to map the causal alleles of natural variation, provide refined insights into the genetics and evolution of natural variation, and outline how this knowledge promises to drive the development of sustainable agriculture under the dome of emerging technologies. Expected final online publication date for the
, Volume 72 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates. |
| Author | Yan, Jianbing Liang, Yameng Liu, Hai-Jun Tian, Feng |
| Author_xml | – sequence: 1 givenname: Yameng surname: Liang fullname: Liang, Yameng email: yml1992@cau.edu.cn, ft55@cau.edu.cn organization: State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; email: yml1992@cau.edu.cn, ft55@cau.edu.cn – sequence: 2 givenname: Hai-Jun surname: Liu fullname: Liu, Hai-Jun email: haijun.liu@gmi.oeaw.ac.at organization: Gregor Mendel Institute, Austrian Academy of Sciences, Vienna BioCenter, 1030 Vienna, Austria; email: haijun.liu@gmi.oeaw.ac.at – sequence: 3 givenname: Jianbing surname: Yan fullname: Yan, Jianbing email: yjianbing@mail.hzau.edu.cn organization: National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; email: yjianbing@mail.hzau.edu.cn – sequence: 4 givenname: Feng surname: Tian fullname: Tian, Feng email: yml1992@cau.edu.cn, ft55@cau.edu.cn organization: State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; email: yml1992@cau.edu.cn, ft55@cau.edu.cn |
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