Speed-Breeding System in Soybean: Integrating Off-Site Generation Advancement, Fresh Seeding, and Marker-Assisted Selection

Fang, Yudong; Wang, Liwei; Sapey, Enoch; Fu, Shuai; Wu, Tingting; Zeng, Haiyan; Sun, Xiulian; Qian, Shu‐Qing; Khan, Mohammad Abdul Awal; Yuan, Shan; Wu, Cunxiang; Hou, Wensheng; Sun, Shi; Han, Tianfu

doi:10.3389/fpls.2021.717077

Cited by 28 publications

(26 citation statements)

References 31 publications

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“…In contrast, species that require the day length to drop below a certain critical threshold to induce flowering are termed short‐day plants. Speed breeding has been established for short‐day plants like soybean ( Glycine max ); however, this requires more complex protocols, involving, for example, the modification of day length, CO 2 concentration or light quality (Fang et al., 2021 ; Jähne et al., 2020 ; Nagatoshi & Fujita, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

A protocol for rapid generation cycling (speed breeding) of hemp (Cannabis sativa) for research and agriculture

et al. 2022

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SUMMARY Hemp (Cannabis sativa) is a highly versatile crop with a multitude of applications, from textiles, biofuel and building material to high‐value food products for consumer markets. Furthermore, non‐hallucinogenic cannabinoids like cannabidiol (CBD), which can be extracted from female hemp flowers, are potentially valuable pharmacological compounds. In addition, hemp has high carbon sequestration potential associated with its rapid growth rate. Therefore, the hemp industry is gaining more traction and breeding hemp cultivars adapted to local climate conditions or bred for specific applications is becoming increasingly important. Here, we present a method for the rapid generation cycling (speed breeding) of hemp. The speed breeding protocol makes use of the photoperiod sensitivity of Cannabis. It encompasses vegetative growth of the plants for 2 weeks under continuous light, followed by 4 weeks under short‐day conditions, during which flower induction, pollination and seed development proceed, and finally a seed ripening phase under continuous light and water stress. With the protocol described here, a generation time of under 9 weeks (61 days) from seed to seed can be achieved. Furthermore, our method synchronises the flowering time of different hemp cultivars, thus facilitating crosses between cultivars. The extremely short generation time will enable hemp researchers and breeders to perform crosses in a time‐efficient way and generate new hemp cultivars with defined genetic characteristics over a short period of time.

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Section: Introductionmentioning

confidence: 99%

A protocol for rapid generation cycling (speed breeding) of hemp (Cannabis sativa) for research and agriculture

et al. 2022

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“…As a result, we establish specific growing conditions for soybean single-seed descent methods. Another perspective, we will apply the speed breeding strategy based on the result that more than 80% of the seeds germinated when freshly sown seeds of R6 were sown (Fang et al 2021). We have confirmed that more than 90% of seeds germinate when they are sown after artificially stopping water supply in R7.…”

Section: Discussionmentioning

confidence: 73%

Development of Speed-Breeding System for Korean Soybean Varieties [Glycine maxa (L.) Merr] Using LED Light Source

Lee

Han

Kim

et al. 2023

Plant Breed. Biotech.

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The conventional soybean breeding program by single seed descent method required around 8 to 9 years to develop a cultivar. Through the advancement of breeding techniques, such as marker-assisted selection, required resources could be significantly saved, but the generation advancement step still slows down the entire soybean breeding program time course. In this study, 28 soybean varieties were tested to find the optimal speed breeding conditions for soybeans that could rapidly advance one generation with 2 light sources, 3 light conditions, and 2 planting densities. Plants were kept under short-day conditions (9 hours light/15 hours dark). We optimized the growth conditions for shortening the period of soybean generation progression based on speed breeding. The optimizing conditions are as follows. (1) Irradiation using LED light source for 9 hours, (2) 506 mol/(m 2 ㆍs) of PPFD at 30 cm from the ground, (3) Planting density of 5 cm × 5 cm, (4) temperature of 25℃ ± 2℃ and (5) humidity of 50% ± 10%. If this condition is used, soybeans can be advanced by one generation within an average of 73 days. It is possible to advance five generations a year using only indoor speed-breeding system. Furthermore, if it includes the development of lines in the field, four generation per year, which is advance three generations using indoor speed-breeding system and one generation in the field, is allowed to increase soybean breeding speed with minimum input.

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“…Speed breeding could be used to increase breeding efficiency by shortening the breeding cycle and reducing plant space, cost, and labor resources, thereby increasing genetic gain ( Watson et al, 2018 ; Hickey et al, 2019 ). Speed breeding protocols have been established by optimizing photoperiod, daylength, and temperature in various legume crops, including soybean ( Fang et al, 2021 ), chickpea ( Samineni et al, 2019 ), pigeonpea ( Saxena et al, 2019 ), and pea ( Mobini and Warkentin, 2016 ). However, this approach has not been implemented in any underutilized legumes.…”

Section: Introductionmentioning

confidence: 99%

Progress of Genomics-Driven Approaches for Sustaining Underutilized Legume Crops in the Post-Genomic Era

et al. 2022

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Legume crops, belonging to the Fabaceae family, are of immense importance for sustaining global food security. Many legumes are profitable crops for smallholder farmers due to their unique ability to fix atmospheric nitrogen and their intrinsic ability to thrive on marginal land with minimum inputs and low cultivation costs. Recent progress in genomics shows promise for future genetic gains in major grain legumes. Still it remains limited in minor legumes/underutilized legumes, including adzuki bean, cluster bean, horse gram, lathyrus, red clover, urd bean, and winged bean. In the last decade, unprecedented progress in completing genome assemblies of various legume crops and resequencing efforts of large germplasm collections has helped to identify the underlying gene(s) for various traits of breeding importance for enhancing genetic gain and contributing to developing climate-resilient cultivars. This review discusses the progress of genomic resource development, including genome-wide molecular markers, key breakthroughs in genome sequencing, genetic linkage maps, and trait mapping for facilitating yield improvement in underutilized legumes. We focus on 1) the progress in genomic-assisted breeding, 2) the role of whole-genome resequencing, pangenomes for underpinning the novel genomic variants underlying trait gene(s), 3) how adaptive traits of wild underutilized legumes could be harnessed to develop climate-resilient cultivars, 4) the progress and status of functional genomics resources, deciphering the underlying trait candidate genes with putative function in underutilized legumes 5) and prospects of novel breeding technologies, such as speed breeding, genomic selection, and genome editing. We conclude the review by discussing the scope for genomic resources developed in underutilized legumes to enhance their production and play a critical role in achieving the “zero hunger” sustainable development goal by 2030 set by the United Nations.

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Speed-Breeding System in Soybean: Integrating Off-Site Generation Advancement, Fresh Seeding, and Marker-Assisted Selection

Cited by 28 publications

References 31 publications

A protocol for rapid generation cycling (speed breeding) of hemp (Cannabis sativa) for research and agriculture

A protocol for rapid generation cycling (speed breeding) of hemp (Cannabis sativa) for research and agriculture

Development of Speed-Breeding System for Korean Soybean Varieties [Glycine maxa (L.) Merr] Using LED Light Source

Progress of Genomics-Driven Approaches for Sustaining Underutilized Legume Crops in the Post-Genomic Era

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