我国抹茶产业创新发展前景

抹茶是一种纯天然超细微粉体绿茶,它最大限度地保持了绿茶的天然绿色以及营养、药理有效成分,具有较好的市场潜力和前所未有的发展机遇。本文介绍了抹茶的起源、现状及生产与加工技术,并从适制茶树品种创新、茶园管理模式创新、加工与制粉技术创新、品质安全与应用创新等方面展望我国抹茶的发展前景。     

第三次全国农作物种质资源调查与收集行动湖南茶树专项总结报告

2015年10月至2018年12月,项目组参与第三次全国农作物种质资源调查与收集行动,对湖南省茶树种质资源进行普查、调查和征集、收集,共普查、调查和征集、收集茶树种质资源165份,涉及45个农业县(市、区),范围为东经109.176821°~114.005865°、北纬24.943720°~29.819774°、海拔31.33~1469.00m,并对湖南茶树种质资源的保护和合理开发利用提出了建议。     

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.     

河套灌区盐渍化土壤玉米水氮耦合效应

为了探求适用于盐渍化地区的节水、施肥优化模式,采用大田试验,以玉米为研究对象,选取了轻度和中度两种盐分土壤,设置了10种不同水、氮处理,建立不同盐分土壤玉米产量与灌水量及施氮量之间的回归模型并对其进行了分析,研究不同盐分土壤水、氮用量对玉米产量的影响。结果表明：在轻度和中度盐分土壤条件下,灌水和施氮对玉米均有增产效应,水、氮交互作用为正效应,水分的作用大于施氮的作用。通过边际效应分析可知,轻度和中度盐分土壤施氮肥的增产速率没有明显差异,轻度盐分土壤灌水的增产效率明显高于中度盐分土壤。轻度和中度盐分土壤玉米最高产量分别为13 581 kg·hm^-2和11 115 kg·hm^-2,对应的水、氮配比均为灌水编码为0.77（全生育期灌水量2 250 m³·hm^-2）,施氮编码为0.69（总施氮量225 kg·hm^-2）。通过模型寻优,得到轻度和中度盐分土壤种植玉米的最佳水、氮配比方案均为全生育期灌水量为1 900.95~2 389.08m³·hm^-2,总施氮量为174.04~240.7 kg·hm^-2。优化方案的水、氮用量分别比当地灌水量（2 925 m³·hm^-2）节水18.2%~35%, 施氮量（325 kg·hm^-2）节肥26.0%~46.4%。优化范围包含了轻度和中度盐分的最高产量水、氮用量,产量与当地产量基本一致,符合当地灌水施肥要求。但从维持目前玉米产量和长期盐碱地改良的角度看,建议中度盐化土壤应选取水、氮优化范围中中等偏上灌水量和中等偏下的施肥量,以便于从根本上降低土壤盐分背景值,便于长期产量的提高;轻度盐分土壤选取优化范围适中的水、氮用量。     

莲藕中甘薯潜隐病毒实时荧光定量PCR检测技术的建立及应用

甘薯潜隐病毒莲藕分离物（sweet potato latent virus-lotus,SPLV-lotus）在江苏省莲藕产区普遍引起发病,并且该分离物序列与已报道的SPLV甘薯分离物存在较大差异。为进一步监测SPLV-lotus在莲藕上的发生情况,针对SPLV-lotus的CP基因设计并优化特异性引物QSPLV-lotus3-F/QSPLV-lotus3-R,通过优化引物浓度和退火温度条件,构建标准曲线,建立了SPLV-lotus实时荧光定量PCR（Real-time fluorescent quantitative polymerase chain reaction,RT-qPCR）检测技术。该方法特异性强,可以快速检测出SPLV-lotus,灵敏度为普通PCR的100倍,可广泛应用于脱毒莲藕SPLV-lotus的精确检测。     

海南橡胶树棒孢霉落叶病菌毒素蛋白基因检测与致病性分析

Cassiicolin毒素蛋白是橡胶树棒孢霉落叶病菌的主要致病因子。本研究对分离自海南省5个市县的橡胶树棒孢霉落叶病菌进行了鉴定,形态学鉴定结合分子生物学鉴定结果表明,病原菌为多主棒孢。利用Cassiicolin毒素不同亚型编码基因特异性引物和菌饼活体接种法分别鉴定了分离菌株的毒素蛋白类型和致病性,结果显示,分离的35个菌株都含有Cas5基因,未发现含其他类型的毒素基因,表明海南橡胶树棒孢霉落叶病菌为含Cas5毒素蛋白优势群体;所有菌株对橡胶树品种‘RRIM600’都能够致病,但是在不同抗性品种上致病性存在一定差异。