播种
播种
栽培
生物
选择(遗传算法)
农学
第一代
第三代
标记辅助选择
生物技术
遗传标记
计算机科学
基因
遗传学
社会学
人口学
人工智能
电信
人口
作者
Yudong Fang,Liwei Wang,Enoch Sapey,Shuai Fu,Tingting Wu,Haiyan Zeng,Xiulian Sun,Shu‐Qing Qian,Mohammad Abdul Awal Khan,Shan Yuan,Cunxiang Wu,Wensheng Hou,Shi Sun,Tianfu Han
标识
DOI:10.3389/fpls.2021.717077
摘要
Speed breeding by artificial control of photothermal conditions facilitates generation advancement but was limited in scale and cost. In this study, we demonstrated a cost-saving off-site summer nursery pattern, taking full advantage of shorter daylength and higher temperature with lower latitude compared to the origin of the soybean cultivars used in the study. This substantially reduced the generation cycles under totally natural conditions. Using this approach, two generations of soybean cultivars from Northeastern Spring Planting Region (NE) and Yellow-Huai-Hai Valleys Summer Planting Region (YHH) were successfully obtained in Beijing and Hainan, respectively, compared to one generation in origin. Fresh-seeding method was also used to further shorten the generation duration by 7–10 days, thereby allowing at least four generations per year. Using DNA markers to define haplotypes of maturity genes E1–E4 , we proposed a model to predict the optimum adaptation region of the advanced generation lines. Taken together, we present a speed-breeding methodology combining off-site nursery, fresh-seeding method, and marker-assisted selection, aimed at accelerating soybean improvement.
科研通智能强力驱动
Strongly Powered by AbleSci AI