基于CNN的小麦籽粒完整性图像检测系统

为了快速、准确识别小麦籽粒的完整粒和破损粒,设计了基于卷积神经网络(CNN)的小麦籽粒完整性图像检测系统,并成功应用于实际检测中。采集完整粒和破损粒两类小麦籽粒图像,对图像进行分割、滤波等处理后,建立单粒小麦的图像数据库和形态特征数据库。采用LeNet-5、AlexNet、VGG-16和ResNet-34等4种典型卷积神经网络建立小麦籽粒完整性识别模型,并与SVM和BP神经网络所建模型进行对比。结果表明,SVM和BP神经网络所建模型的验证集识别准确率最高为92. 25%; 4种卷积神经网络模型明显优于两种传统模型,其中,识别性能最佳的AlexNet的测试集识别准确率为98. 02%,识别速率为0. 827 ms/粒。基于AlexNet模型设计了小麦籽粒完整性图像检测系统,检测结果显示,100粒小麦的检测时间为26. 3 s,其中,图像采集过程平均用时21. 2 s,图像处理与识别过程平均用时为5. 1 s,平均识别准确率为96. 67%。     

沂蒙山区金银花光合效率对土壤水分的响应

为探索抗旱灌木光合作用效率对土壤水分的响应特征与阈值效应，以沂蒙山区优势灌木金银花为材料布设盆栽模拟试验，通过人工灌水与植物自然耗水的方法进行控水处理，在不同水分梯度下测定分析了金银花的光合作用参数，并对土壤水分有效性进行了分级。结果表明:1）金银花叶片净光合速率（P_n）和水分利用效率（WUE）对土壤相对含水量（RSWC）具有明显的阈值响应规律，当RSWC分别为79.59%和47.43%时，金银花P_n、WUE达到最大值。当RSWC=29.71%时，制约光合效率的主要因子由气孔限制转为非气孔限制。2）确定了金银花光合作用的5个特征水分阈值:P_n水分补偿点、P_n水分均值点、P_n水分饱和点、WUE水分均值点和WUE水分高效点。同时，将金银花的土壤水分有效性划分了5个等级:高产高效水、高产中效水、中产高效水、低产低效水和无产无效水。3）田间水分管理时，为维持金银花较高的光合作用水平，应维持的土壤水分范围为:42.38%≤RSWC≤96.05%，避免土壤水分低于29.71%。研究结果可为沂蒙山区干旱逆境下金银花的风险诊断和田间水分管理提供科学依据。     

Potassium accumulation,partitioning, and remobilization in high-yield spring maize in Northeast China

Potassium (K) plays an important role in maize yield, but K accumulation characteristics in high yielding maize is still not well documented. A two-year field experiment was conducted to investigate the K accumulation characteristics of high yield (HY)（>15 t ha^?1）spring maize compared with medium yield (MY)（10–15 t ha^?1), and low yield (LY)（<10 t ha^?1). The maximum K accumulation stage in maize appeared between V6 and V12 stage (LY, MY, and HY was 125.46, 138.05, and 146.22?kg ha^?1, respectively). Most of the K (94.27–97.13%) was accumulated during vegetative stages. HY exhibited a significantly higher K accumulation than either MY or LY. For different organs, the K remobilization amount of leaf was the highest, and the remobilization amount of stalk was the lowest, the K remobilization amount of leaf and stalk showed as HY?<?MY?<?LY, same as the total K remobilization amount, but the K remobilization amount of sheath and husk plus cob showed the opposite order. These results indicated that sufficient nutrient supply for maize can not only accumulate more K but also delay leaf senescence and maintain high photosynthetic activity, resulting in reduced K remobilization from vegetative organs, and reduced K loss in whole plant.     

The effects of various plant protection methods on the development of Zymoseptoria tritici and Cephalosporium gramineum,grain yield and protein profile

Septoria leaf blotch progresses rapidly, leading to the development of Zymoseptoria titici forms resistant to fungicides. Cephalosporium stripe is caused by Cephalosporium gramineum. The aim of this study was to evaluate the effectiveness of selected pesticides in limiting the symptoms of both diseases on winter wheat leaves, and to determine their influence on grain yield and the content and composition of protein fractions in wheat kernels. Propiconazoles were most effective in inhibiting the development of Septoria leaf blotch (symptoms were reduced from 54.7% to 78.6%). Strobilurins were less effective due to the presence of isolates with the G143A mutation. Symptoms of Cephalosporium stripe were rarely observed, and protective treatments did not reduce their severity. The highest content of grain protein (14.81%) was found in plants most intensely protected with the fungicides containing fenpropimorph, pyraclostrobin and epoxiconazole. The principal component analysis revealed that the plant protection method influenced the grain protein profile. The accumulation of HMW glutenins and α/β gliadins was mutually interrelated and higher in high-input treatments; control grain was characterized by close relationships between ω-gliadins, LMW glutenins, albumins and globulins, whereas low-input treatments influenced mostly γ-gliadins.     

The role of ear environment in postharvest susceptibility of maize to toxigenic Aspergillus flavus

A kernel screening assay (KSA) was used to assess the genetic and environmental effects on the vulnerability of maize to aflatoxin accumulation. Kernels of 26 inbred lines that had been grown in seven environments, and 190 lines of the Intermated B73xMo17 (IBM) population grown in one location in the United States, were inoculated with a toxigenic strain of A. flavus and incubated in the dark at 30°C for 6 days. Percent kernel colonization (PKC), sporulation and aflatoxin were influenced by the maize genotypes (G), the location (“ear environment” or E) and the GxE interactions. Overall, low broad‐sense heritabilities were observed for PKC, sporulation and aflatoxin. PKC was significantly correlated with sporulation in all environments. Aflatoxin was positively correlated with colonization for two and with sporulation for all ear environments. Higher grain sulphur or magnesium in IBM was associated with less colonization or aflatoxin. Postharvest susceptibility of maize to aflatoxin is thus influenced by factors that are modulated by the ear environment. In a KSA, sporulation could be a proxy test for aflatoxin accumulation.     

A data transfer method for improving seed identification of maize (Zea mays) haploid breeding based on genetic similarity

Maize haploid breeding technology is able to identify haploid seeds non‐destructively, rapidly and at low cost with the help of Near‐infrared (NIR) spectral analysis. However, due to the hybridization of numerous parents and the low production rate of haploid, the haploid data collection becomes a burden for engineering this technology. Biologically, there are considerable similarities between the progeny of the same female parent and different male parents. Based on this advantage, similar spectral data can be transferred when the NIR technology is employed. A revised method of Transfer adaptive boost (TrAdaBoost) is proposed to improve identifying for the backpropagation neural network (BPNN) classifier. To avoid the negative transfer, a screening thresh is used to select out similar data, and the amount of these data are limited to join current training. The results show that the identification performances are improved significantly when the data amount is small. This method shows a high ability to make the seed identification more convenient for engineering maize haploid breeding.     

翻转课堂模式在“食品微生物学实验”教学中应用的探索与思考

为进一步提高学生的实验学习兴趣和积极性,在食品微生物学实验教学中尝试运用翻转课堂模式以培养学生自主学习能力和各项综合素质。本文从传统实验教学中存在的问题、运用翻转课堂教学模式的优势等方面提出了对食品微生物学实验教学的改革和反思,分析了翻转课堂模式在课程体系中的重要性。     

硅藻土对5种储粮害虫和不同磷化氢抗性水平杂拟谷盗防治效果的研究

为初步了解硅藻土对储粮害虫的防治效果以及与害虫磷化氢抗性发生发展的关系, 本研究采用直接拌粮法(设置剂量梯度为0?0.2?0.4?0.6 g/kg和 0.8 g/kg)测定硅藻土对赤拟谷盗?杂拟谷盗?锈赤扁谷盗?谷蠹?玉米象的防治效果, 以及磷化氢抗性杂拟谷盗(抗性倍数为 2.3~144.7)对硅藻土的敏感性差异; 除此之外, 本研究还分析了0.4 g/kg硅藻土在 4 种粮食(小麦?玉米?大豆?稻谷)中对赤拟谷盗的杀虫效果?研究结果表明:一定剂量(0.2~0.8 g/kg)的硅藻土均能够在一定时间内有效杀死上述 5种储粮害虫, 不同储粮害虫对硅藻土的敏感性存在显著差异(P<0.05), 其中杂拟谷盗对硅藻土的耐受性最强, 玉米象对硅藻土最为敏感?除个别品系外, 不同磷化氢抗性品系的杂拟谷盗对硅藻土的敏感性不存在显著差异(P>0.05), 且与磷化氢抗性无关; 硅藻土在不同粮食中对害虫的作用效果存在显著性差异(P<0.05)(处理 7 d后, 死亡率为 13%~98%), 其中在大豆中对赤拟谷盗的杀虫效果最强, 在玉米中对其作用效果不明显?因此本研究得出结论:硅藻土对主要储粮害虫均具有一定的防治作用, 且对抗磷化氢的杂拟谷盗具有良好的致死效果?因此, 硅藻土具备成为储粮害虫防治及其磷化氢抗性治理药剂的潜力?     

播期对河套地区玉米灌浆进度的影响

旨在为玉米的高产栽培提供理论支撑。采用分期播种法,利用试验数据,建立28个生长模型（方程均通过0.01的极显著检验）,将玉米灌浆期百粒干重、百粒体积随灌浆日数增加的时段分为三阶段,即渐增期、快增期和缓增期。适时播种的玉米吐丝后百粒体积、百粒干重增加进入渐增期,终止日分别为吐丝后的6天和20天,此后进入快速增长期,时间分别为22天和18天;其后到籽粒体积和干重增加进入缓慢增长期。适时播种的玉米百粒干重增加逐渐增长期为吐丝后活动积温区间0~502.4℃·d,增幅0.014 g/℃·d;快速增长期为吐丝后活动积温区间502.4~938.4℃·d,增幅0.049 g/℃·d;缓慢增长期为吐丝后活动积温区间938.4~1355.1℃·d,增幅0.018 g/℃·d。