On the Road to Breeding 4.0: Unraveling the Good, the Bad, and the Boring of Crop Quantitative Genomics

Wallace, Jason G.; Rodgers-Melnick, Eli; Buckler, Edward S.

doi:10.1146/annurev-genet-120116-024846

Cited by 202 publications

(153 citation statements)

References 200 publications

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“…Human-guided domestication began approximately 12 000 years ago in the Middle East and Fertile Crescent, and subsequently occurred in different parts of the world including China, Mesoamerica and the Andes, Near Oceania, sub-Saharan Africa, and eastern North America (Purugganan and Fuller, 2009;Meyer and Purugganan, 2013) (Figure 1). Based on the idea of Plant Breeding 4.0 (Wallace et al, 2019), we further extend our view to divide the history of crop improvement into four generations. First-generation (1G) breeding began with phenotype-based selection by local independent farmers, which slowly led to the dramatic changes observed in modern crops (Doebley et al, 2006;Wallace et al, 2019).…”

Section: The History Of Crop Domestication and Improvementmentioning

confidence: 99%

“…Based on the idea of Plant Breeding 4.0 (Wallace et al, 2019), we further extend our view to divide the history of crop improvement into four generations. First-generation (1G) breeding began with phenotype-based selection by local independent farmers, which slowly led to the dramatic changes observed in modern crops (Doebley et al, 2006;Wallace et al, 2019). With the world population massively increasing by the turn of the 20th century, until hybrid breeding (2G) was developed in the 1980s and mating designs and statistical analyses were incorporated (Fisher, 1919;Wright, 1921), the use of fertilizer and pesticide became widespread (Carvalho, 2017), and the first ''green revolution'' occurred at the end of the 1950s, resulting in dwarf plants with consequently higher yields (Khush, 2001).…”

Section: The History Of Crop Domestication and Improvementmentioning

confidence: 99%

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

2019

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Current global agricultural production must feed over 7 billion people. However, productivity varies greatly across the globe and is under threat from both increased competitions for land and climate change and associated environmental deterioration. Moreover, the increase in human population size and dietary changes are putting an ever greater burden on agriculture. The majority of this burden is met by the cultivation of a very small number of species, largely in locations that differ from their origin of domestication. Recent technological advances have raised the possibility of de novo domestication of wild plants as a viable solution for designing ideal crops while maintaining food security and a more sustainable lowinput agriculture. Here we discuss how the discovery of multiple key domestication genes alongside the development of technologies for accurate manipulation of several target genes simultaneously renders de novo domestication a route toward crops for the future.

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Section: The History Of Crop Domestication and Improvementmentioning

confidence: 99%

Section: The History Of Crop Domestication and Improvementmentioning

confidence: 99%

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

2019

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“…Breeding at the time was long, tedious and rudimentary and yet it yielded results; the best plants in the field were selected and their seeds were kept as stock for future planting. This process led to genetic mutations and sometimes resulted in new useful traits which were bred into economically important crops by human selection [13].…”

Section: Resources In Plant Breedingmentioning

confidence: 99%

Emerging Advanced Technologies to Mitigate the Impact of Climate Change in Africa

Ribeiro

Rodriguez

2020

Plants

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Agriculture remains critical to Africa’s socioeconomic development, employing 65% of the work force and contributing 32% of GDP (Gross Domestic Product). Low productivity, which characterises food production in many Africa countries, remains a major concern. Compounded by the effects of climate change and lack of technical expertise, recent reports suggest that the impacts of climate change on agriculture and food systems in African countries may have further-reaching consequences than previously anticipated. Thus, it has become imperative that African scientists and farmers adopt new technologies which facilitate their research and provide smart agricultural solutions to mitigating current and future climate change-related challenges. Advanced technologies have been developed across the globe to facilitate adaptation to climate change in the agriculture sector. Clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein 9 (Cas9), synthetic biology, and genomic selection, among others, constitute examples of some of these technologies. In this work, emerging advanced technologies with the potential to effectively mitigate climate change in Africa are reviewed. The authors show how these technologies can be utilised to enhance knowledge discovery for increased production in a climate change-impacted environment. We conclude that the application of these technologies could empower African scientists to explore agricultural strategies more resilient to the effects of climate change. Additionally, we conclude that support for African scientists from the international community in various forms is necessary to help Africans avoid the full undesirable effects of climate change.

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“…There are many different applications for these new data sets, including gene cloning and the study of regulatory networks. These new and comprehensive data sets provide valuable resources for maize research, and have the potential to completely revolutionize breeding (16).…”

Section: Introductionmentioning

confidence: 99%

ZEAMAP, a comprehensive database adapted to the maize multi-omics era

Gui

Yang

et al. 2020

Preprint

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As one of the most extensively cultivated crops, maize (Zea mays L.) has been extensively studied by researchers and breeders for over a century. With advances in high-throughput detection of various omics data, a wealth of multi-dimensional and multi-omics information has been accumulated for maize and its wild relative, teosinte. Integration of this information has the potential to accelerate genetic research and generate improvements in maize agronomic traits. To this end, we constructed ZEAMAP (http://www.zeamap.com), a comprehensive database incorporating multiple reference genomes, annotations, comparative genomics, transcriptomes, open chromatin regions, chromatin interactions, high-quality genetic variants, phenotypes, metabolomics, genetic maps, genetic mapping loci, population structures and domestication selection signals between teosinte and maize. ZEAMAP is user-friendly, with the ability to interactively integrate, visualize and cross-reference multiple different omics datasets. and linkage analysis, the population structure and pedigrees of each germplasm and the selective signals between different teosinte subspecies and maize. ZEAMAP generated comprehensive functional annotations for the annotated gene models in each assembly, and provided useful tools for users to search, analyze and visualize all these different omics data.

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On the Road to Breeding 4.0: Unraveling the Good, the Bad, and the Boring of Crop Quantitative Genomics

Cited by 202 publications

References 200 publications

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

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

Emerging Advanced Technologies to Mitigate the Impact of Climate Change in Africa

ZEAMAP, a comprehensive database adapted to the maize multi-omics era

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