Literature DB >> 32478489

Breeding crops by design for future agriculture.

Chengdao Li1.   

Abstract

Plant breeding is both the science and art of developing elite crop cultivars by creating and reassembling desirable inherited traits for human benefit. From the bulk selection of wild plants for cultivation during early civilization to Mendelian genetics and genomics-assisted breeding in modern society, breeding methodologies have evolved over the last thousand years. In the past few decades, the "Green Revolution" through breeding of semi-dwarf wheat and rice varieties, and the use of heterosis and transgenic crops have dramatically enhanced crop productivity and helped prevent widespread famine (Hickey et al., 2019). Integration of these technologies can significantly improve breeding efficiency in the development of super crop varieties (Li et al., 2018). For example, a hybrid cotton variety CCRI63 and six related hybrid varieties account for nearly 90% of cotton production in the Yangtze River Basin (Wan et al., 2017; Wang et al., 2018). These varieties have successfully combined high yield, good quality, and biotic stress tolerance through the integration of conventional breeding, hybrid and genetically modified organism (GMO) technologies (Lu et al., 2019; Ma et al., 2019; Song et al., 2019). Unfortunately, such technology integration is not practical for most staple food crops, including rice and wheat, because of social or technical restrictions. Furthermore, plant breeding is still labor-intensive and time-consuming, and conventional breeding remains the leading approach for the release of commercial crop varieties worldwide. This is especially true for breeding cultivars and hybrids with high yield, good quality, and resistance to biotic or abiotic stresses (Liu et al., 2015; Gu et al., 2016). New germplasm, knowledge, and breeding techniques are required to breed the next generation of crop varieties.

Entities:  

Keywords:  Plant breeding; Gene editing; Crop varieties; Future agriculture

Mesh:

Year:  2020        PMID: 32478489      PMCID: PMC7306630          DOI: 10.1631/jzus.B2010001

Source DB:  PubMed          Journal:  J Zhejiang Univ Sci B        ISSN: 1673-1581            Impact factor:   3.066


  29 in total

1.  Genome editing in rice and wheat using the CRISPR/Cas system.

Authors:  Qiwei Shan; Yanpeng Wang; Jun Li; Caixia Gao
Journal:  Nat Protoc       Date:  2014-09-18       Impact factor: 13.491

2.  Speed breeding is a powerful tool to accelerate crop research and breeding.

Authors:  Amy Watson; Sreya Ghosh; Matthew J Williams; William S Cuddy; James Simmonds; María-Dolores Rey; M Asyraf Md Hatta; Alison Hinchliffe; Andrew Steed; Daniel Reynolds; Nikolai M Adamski; Andy Breakspear; Andrey Korolev; Tracey Rayner; Laura E Dixon; Adnan Riaz; William Martin; Merrill Ryan; David Edwards; Jacqueline Batley; Harsh Raman; Jeremy Carter; Christian Rogers; Claire Domoney; Graham Moore; Wendy Harwood; Paul Nicholson; Mark J Dieters; Ian H DeLacy; Ji Zhou; Cristobal Uauy; Scott A Boden; Robert F Park; Brande B H Wulff; Lee T Hickey
Journal:  Nat Plants       Date:  2018-01-01       Impact factor: 15.793

Review 3.  Advances in studies on ion transporters involved in salt tolerance and breeding crop cultivars with high salt tolerance.

Authors:  Lu Huang; De-Zhi Wu; Guo-Ping Zhang
Journal:  J Zhejiang Univ Sci B       Date:  2020-06       Impact factor: 3.066

Review 4.  De Novo Domestication: An Alternative Route toward New Crops for the Future.

Authors:  Alisdair R Fernie; Jianbing Yan
Journal:  Mol Plant       Date:  2019-04-15       Impact factor: 13.164

5.  Speed breeding in growth chambers and glasshouses for crop breeding and model plant research.

Authors:  Sreya Ghosh; Amy Watson; Oscar E Gonzalez-Navarro; Ricardo H Ramirez-Gonzalez; Luis Yanes; Marcela Mendoza-Suárez; James Simmonds; Rachel Wells; Tracey Rayner; Phon Green; Amber Hafeez; Sadiye Hayta; Rachel E Melton; Andrew Steed; Abhimanyu Sarkar; Jeremy Carter; Lionel Perkins; John Lord; Mark Tester; Anne Osbourn; Matthew J Moscou; Paul Nicholson; Wendy Harwood; Cathie Martin; Claire Domoney; Cristobal Uauy; Brittany Hazard; Brande B H Wulff; Lee T Hickey
Journal:  Nat Protoc       Date:  2018-12       Impact factor: 17.021

6.  Genome editing in maize directed by CRISPR-Cas9 ribonucleoprotein complexes.

Authors:  Sergei Svitashev; Christine Schwartz; Brian Lenderts; Joshua K Young; A Mark Cigan
Journal:  Nat Commun       Date:  2016-11-16       Impact factor: 14.919

7.  Resequencing of cv CRI-12 family reveals haplotype block inheritance and recombination of agronomically important genes in artificial selection.

Authors:  Xuke Lu; Xiaoqiong Fu; Delong Wang; Junyi Wang; Xiugui Chen; Meirong Hao; Junjuan Wang; Kyle A Gervers; Lixue Guo; Shuai Wang; Zujun Yin; Weili Fan; Chunwei Shi; Xiaoge Wang; Jun Peng; Chao Chen; Ruifeng Cui; Na Shu; Binglei Zhang; Mingge Han; Xiaojie Zhao; Min Mu; John Z Yu; Wuwei Ye
Journal:  Plant Biotechnol J       Date:  2018-12-03       Impact factor: 9.803

8.  Expanding the base editing scope in rice by using Cas9 variants.

Authors:  Kai Hua; Xiaoping Tao; Jian-Kang Zhu
Journal:  Plant Biotechnol J       Date:  2018-10-05       Impact factor: 9.803

Review 9.  Translating High-Throughput Phenotyping into Genetic Gain.

Authors:  José Luis Araus; Shawn C Kefauver; Mainassara Zaman-Allah; Mike S Olsen; Jill E Cairns
Journal:  Trends Plant Sci       Date:  2018-03-16       Impact factor: 18.313

10.  Resequencing core accessions of a pedigree identifies derivation of genomic segments and key agronomic trait loci during cotton improvement.

Authors:  Xiongfeng Ma; Zhenyu Wang; Wei Li; Yuzhou Zhang; Xiaojian Zhou; Yangai Liu; Zhongying Ren; Xiaoyu Pei; Kehai Zhou; Wensheng Zhang; Kunlun He; Fei Zhang; Junfang Liu; Wenyu Ma; Guanghui Xiao; Daigang Yang
Journal:  Plant Biotechnol J       Date:  2018-10-18       Impact factor: 9.803

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  1 in total

Review 1.  The Past, Present, and Future of Host Plant Resistance in Cotton: An Australian Perspective.

Authors:  Lucy M Egan; Warwick N Stiller
Journal:  Front Plant Sci       Date:  2022-07-06       Impact factor: 6.627

  1 in total

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