摘要
为推广抗草甘膦转基因大豆优良品种,本文对新培育的抗除草剂草甘膦转基因大豆新材料SNT1进行了田间鉴定。田间试验采用随机区组设计方案,结荚期喷施41%农达(草甘膦)除草剂。观察和记载处理组和对照组除草剂处理后,大豆幼苗的枯死率,以及各主要生长发育时期和产量性状的表型。结果表明喷施除草剂后,非转基因对照组大豆(SN99-1)幼苗枯死率达98.86%,而转基因大豆SNT1仅有1.02%幼苗呈现受害症状。SN99-1和SNT1在主要生育期、主茎节数、单株荚数和百粒重等农艺性状上差异不显著。抗草甘膦转基因大豆SNT1在大田条件下能稳定、有效抵抗草甘膦除草剂,且抗草甘膦性状的表达并未影响到其他农艺性状。转基因大豆新材料SNT1可进一步应用于培育综合农艺性状优异且高效抗草甘膦除草剂的大豆新品种。
For the promotion of excellent glyphosate-resistant transgenic soybean varieties , a field test was conducted in this study to evaluate the glyphosate-resistant transgenic soybean SNT1. The randomized block design was used in the field trial, and 41% Roundup herbicide （glyphosate） was sprayed on plants at the podding period of soybean. After herbicide treatment, plant phenotypes were observed, and the soybean death rate was recorded. The agronomic traits analyzed include major stages of soybean growth and development as well as the grain yield-related phenotypes for the treated and the control soybeans, respectively. After spraying the herbicide, the results for non-transgenic control soy- bean （SN99-1） seedling death was up to 98.86% while the transgenic soybean SNT1 was 1.02%seedling showed symptom. No differences between SN99-1 and SNT1 was detected for the agronomic traits including growth period, flower color, stern node number, pod number per plant and 100 seed weight. The results showed that transgenic soy- bean SNT1 displayed a stable and effective glyphosate-resistant phenotype under the field condition. Moreover, the ex- pression of this glyphosate-resistant pbenotype did not affect other important agronomic traits. The new transgenic germplasm （SNT1） of glyphosate-resistance soybean can be further utilized in breeding program for new soybean varie- ties with excellent comprehensive agronomic traits and high resistance against the herbicide.
出处
《山西农业大学学报（自然科学版）》
CAS
2015年第2期143-146,168,共5页
Journal of Shanxi Agricultural University(Natural Science Edition)
基金
国家自然科学基金(No.31401430
No.30971806)
关键词
大豆
草甘膦
抗除草剂表型
产量性状
Soybean Glyphosate
Herbicide-resistant phenotype Yield-related traits
