Development and identification of glyphosate-tolerant transgenic soybean via direct selection with glyphosate

Glyphosate-tolerant soybean is the most widely planted genetically modified crop worldwide. However, soybean remains recalcitrant to routine transformation because of the low infection efficiency of Agrobacterium to soybean and lack of useful selectable markers. In this study, several Agrobacterium strains and cell densities were compared by transient expression of the GUS gene. The results showed that Agrobacterium strain Ag10 at cell densities of OD_(600) of 0.6–0.9 yielded the highest infection efficiency in Agrobacterium-mediated soybean cotyledonary node transformation system. Meanwhile, a simple and rapid method was developed for identification of glyphosate tolerance in putative T_0 transgenic plants, consisting of spotting plantlets with 1 μL Roundup~?. The whole cycle of genetic transformation could be shortened to about 3 mon by highly efficient selection with glyphosate during the transformation process and application of the spot assay in putative T_0 transgenic plantlets. The transformation frequency ranged from 2.9 to 5.6%. This study provides an improved protocol for development and identification of glyphosate-tolerant transgenic soybeans.     

Agriculture Green Development: a model for China and the world

Realizing sustainable development has become a global priority. This holds, in particular, for agriculture. Recently, the United Nations launched the Sustainable Development Goals (SDGs), and the Nineteenth National People’s Congress has delivered a national strategy for sustainable development in China—realizing green development. The overall objective of Agriculture Green Development (AGD) is to coordinate “green” with “development” to realize the transformation of current agriculture with high resource consumption and high environmental costs into a green agriculture and countryside with high productivity, high resource use efficiency and low environmental impact. This is a formidable task, requiring joint efforts of government, farmers, industry, educators and researchers. The innovative concept for AGD will focus on reconstructing the whole crop-animal production and food production-consumption system, with the emphasis on high thresholds for environmental standards and food quality as well as enhanced human well-being. This paper addresses the significance, challenges, framework, pathways and potential solutions for realizing AGD in China, and highlights the potential changes that will lead to a more sustainable agriculture in the future. Proposals include interdisciplinary innovations, whole food chain improvement and regional solutions. The implementation of AGD in China will provide important implications for the countries in developmental transition, and contribute to global sustainable development.     

基于健康与营养的现代农业发展

食安民康,食品安全贯穿整个产业链,其源头农产品是基础,首先必须把农产品质量抓好。为更好引导农业发展服务我国居民健康营养需求,11月20—21日2020中国农业农村科技发展高峰论坛暨中国现代农业发展论坛期间,中国农学会举办了健康·营养·现代农业分论坛,围绕我国居民膳食营养特征与食品科技创新、发展绿色都市农业与服务城市健康生活、牛奶与健康关联的优质乳工程、燕麦降血糖作用及机制研究、我国营养健康型食物资源开发趋势与典型案例、营养环境塑造动物健康高效生产6个主题,交流我国居民营养健康问题,探讨居民膳食结构,展望现代农业发展对我国居民营养健康的提升作用。     

中国橄榄研究40年

橄榄是我国热带亚热带特色果树,栽培历史悠久。40年来,我国橄榄研究取得长足进步,在一些领域获得重大突破,有力地支撑了橄榄产业的发展。本文全面梳理40年来我国橄榄研究发展历程及取得的主要成绩,总结橄榄种质资源、栽培技术、果实品质、保鲜加工、药理活性和生物技术等方面取得的重要进展。针对我国橄榄产业存在的问题及发展趋势,建议加强橄榄应用基础研究及产业关键性技术研发,推动橄榄产业转型升级与绿色发展。     

长江流域棉花减量简化一次性施肥技术研究

针对棉花常规施肥技术存在的施肥次数多、技术复杂、用量大、利用率低、中后期土壤追肥操作不便、施肥易受天气影响等问题,研究了主栽棉花品种营养特性,研制了易降解棉花专用缓控释肥缓控释包膜新材料、系列配方,创新了生产工艺,研制的专用缓控释肥实现了棉花减量简化一次性施肥,变革了棉花施肥技术,解决了常规技术中施肥集中期与干旱雨涝等灾害高发期重叠导致的无法追肥或肥害、从而减产的重大难题。与等养分常规施肥相比,应用该技术棉花单产增加 3.8%～14.1%、增效10.1%～25.5%;减少施肥用工50%以上,等产量情况下单位面积减少施肥11.2%～52.3%。以棉花减量简化一次性施肥为核心技术,建立了棉花绿色轻简高效栽培技术体系。     

大豆作为前作植物对油菜根肿病发生的影响

为了解前作大豆对后茬油菜根肿病的影响,采用大田轮作试验和实时荧光定量PCR检测法,研究大豆、白菜、油菜分别作为前作,调查后茬油菜根肿病的发生和土壤中休眠孢子含量,比较分析了不同前作的根系分泌物对休眠孢子萌发的影响,结果表明前作大豆,后茬油菜根肿病的发病率和病情指数分别为34.00%和19.26、土壤休眠孢子含量为1.45×106个/克土壤,显著低于前作为油菜、白菜和撂荒对照的相应量。大豆、油菜和白菜根系分泌物均可刺激根肿菌休眠孢子萌发。与根肿菌休眠孢子共培6 d后,大豆根系分泌物培养的休眠孢子萌发率为29.82%,显著高于白菜（15.52%）、油菜根系分泌物（14.83%）和营养液（6.48%）培养下的萌发率。据此推测,前作种植大豆,后茬油菜根肿病发生和危害减轻,原因应与大豆根系分泌物刺激根肿菌休眠孢子萌发,产生的游动孢子因缺少寄主植物而死亡,导致诱发病害的初侵染源（土壤中休眠孢子含量）减少有关。     

春季低温对小麦颖果发育的影响

为了探明春季低温（倒春寒）导致小麦减产的细胞学机理,以扬麦15为材料,在小麦幼穗处于雌雄蕊分化期至药隔期之间时,设置-3 ℃低温处理,通过树脂半薄切片对颖果不同发育时期的形态结构进行观察。结果表明：（1）在颖果发育早期,低温促进了颖果的长度生长,抑制了宽度生长;与对照相比,低温处理组小麦颖果发育进程缩短;（2）低温处理组颖果果皮发育早,中果皮降解速度快;（3）低温处理增加了胚乳淀粉体的积累量,降低了蛋白体的积累量,发育后期胚乳充实度显著低于对照组;（4）与对照相比,低温处理后颖果韧皮部面积和珠心突起传递细胞面积增大。以上结果表明,春季低温处理更有利于养分运输组织的发育,使得灌浆时间缩短,最终导致淀粉积累量增加及颖果早熟。     

Relay-intercropping soybean with maize maintains soil fertility and increases nitrogen recovery efficiency by reducing nitrogen input

Optimized nitrogen(N)management can increase N-use efficiency in intercropping systems.Legume-nonlegume intercropping systems can reduce N input by exploiting biological N fixation by legumes.Measurement of N utilization can help in dissecting the mechanisms underlying N uptake and utilization in legume-nonlegume intercropping systems.An experiment was performed with three planting patterns:monoculture maize(MM),monoculture soybean(SS),and maize-soybean relay intercropping(IMS),and three N application levels:zero N(NN),reduced N(RN),and conventional N(CN)to investigate crop N uptake and utilization characteristics.N recovery efficiency and 15N recovery rate of crops were higher under RN than under CN,and those under RN were higher under intercropping than under the corresponding monocultures.Compared with MM,IMS showed a lower soil N-dependent rate(SNDR)in 2012.However,the SNDR of MM rapidly declined from 86.8%in 2012 to 49.4%in 2014,whereas that of IMS declined slowly from 75.4%in 2012 to 69.4%in 2014.The interspecific N competition rate(NCRms)was higher under RN than under CN,and increased yearly.Soybean nodule dry weight and nitrogenase activities were respectively 34.2%and 12.5%higher under intercropping than in monoculture at the beginning seed stage.The amount(Ndfa)and ratio(%Ndfa)of soybean N2 fixation were significantly greater under IS than under SS.In conclusion,N fertilizer was more efficiently used under RN than under CN;in particular,the relay intercropping system promoted N fertilizer utilization in comparison with the corresponding monocultures.An intercropping system helps to maintain soil fertility because interspecific N competition promotes biological N fixation by soybean by reducing N input.Thus,a maize-soybean relay intercropping system with reduced N application is sustainable and environmentally friendly.     

蝴蝶兰‘红天鹅’组织培养及快繁技术

[目的]探索‘红天鹅’花梗的不定芽诱导、丛生芽继代增殖和生根诱导技术。[方法]以蝴蝶兰新品种‘红天鹅’的花梗作为外植体,开展组织培养技术研究。[结果]用0.1%的HgCl2消毒外植体20 min,污染率可降低至27.2%,萌芽率达91.0%;不定芽继代增殖培养的最适培养基为MS+6-BA 6.0 mg/L+NAA 0.1 mg/L+AD 5.0 mg/L+香蕉50 g/L+土豆50g/L+蔗糖30g/L+琼脂7.5 g/L,增殖系数达3.80;最适合的生根诱导培养基为1/2MS+NAA0.4 mg/L+香蕉50 g/L+土豆50g/L+C 1.0 g/L+蔗糖15 g/L+卡拉胶7.0 g/L,生根时间为15 d,生根率达100%。[结论]发现了适宜‘红天鹅’的从消毒到增殖,再到生根中各试剂和激素的合理用量,为蝴蝶兰快繁技术发展提供了参考。     

Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index

Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop yield.Biomass is also a key trait in increasing grain yield by crop breeding.The aims of this study were(i)to identify the best vegetation indices for estimating maize biomass,(ii)to investigate the relationship between biomass and leaf area index(LAI)at several growth stages,and(iii)to evaluate a biomass model using measured vegetation indices or simulated vegetation indices of Sentinel 2A and LAI using a deep neural network(DNN)algorithm.The results showed that biomass was associated with all vegetation indices.The three-band water index(TBWI)was the best vegetation index for estimating biomass and the corresponding R2,RMSE,and RRMSE were 0.76,2.84 t ha−1,and 38.22%respectively.LAI was highly correlated with biomass(R2=0.89,RMSE=2.27 t ha−1,and RRMSE=30.55%).Estimated biomass based on 15 hyperspectral vegetation indices was in a high agreement with measured biomass using the DNN algorithm(R2=0.83,RMSE=1.96 t ha−1,and RRMSE=26.43%).Biomass estimation accuracy was further increased when LAI was combined with the 15 vegetation indices(R2=0.91,RMSE=1.49 t ha−1,and RRMSE=20.05%).Relationships between the hyperspectral vegetation indices and biomass differed from relationships between simulated Sentinel 2A vegetation indices and biomass.Biomass estimation from the hyperspectral vegetation indices was more accurate than that from the simulated Sentinel 2A vegetation indices(R2=0.87,RMSE=1.84 t ha−1,and RRMSE=24.76%).The DNN algorithm was effective in improving the estimation accuracy of biomass.It provides a guideline for estimating biomass of maize using remote sensing technology and the DNN algorithm in this region.