|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Effects of culm carbohydrate partitioning on basal stem strength in a high-yielding rice population显示文摘Rice culm carbohydrate transport can simultaneously affect grain filling and stem lodging resistance by regulating non-structural carbohydrate(NSC) and structural carbohydrate(SC) contents. However, the relationship between carbohydrate transposition and culm strength is not well documented. Accordingly, a high-yielding hybrid rice cultivar(Y Liangyou 2) was tested under different N fertilization regimes at two locations, Taoyuan(a special high-yield eco-site), Yunnan province and Danyang(a representative eco-site of the middle and lower Yangtze), Jiangsu province, China. Significantly higher grain yield and basal stem strength were found at Taoyuan than Danyang under all N rates throughout the two-year experiment. At heading stage, soluble sugars, starch, cellulose and lignin contents of the basal culm at Taoyuan were significantly 132.0%, 73.7%, 1.2%, and 62.7% higher than those at Danyang, respectively. At 20 days after heading, soluble sugars and starch content at Taoyuan decreased significantly compared to Danyang, but lignin content remained higher. Culm carbohydrate transport to kernels at Taoyuan was significantly greater than that at Danyang, and the proportion of soluble sugars and starch was correspondingly 62.9%lower. However, the proportion of lignin and cellulose was 22.7% higher at Taoyuan than that at Danyang. Soluble sugars and starch partitioning were significantly reduced under an increased nitrogen application rate, but SC partitioning was little affected. There were significant positive correlations between basal culm bending stress and dry weight and cellulose and lignin proportions at both locations under all N rates, suggesting that the higher SC proportion at 20 days after heading was primarily responsible for culm strength.These results suggest that high-yielding rice populations with greater culm strength require both moderate NSC transport and greater SC accumulation. | Jun Zhang Ganghua Li Qingyu Huang Zhenghui Liu Chengqiang Ding She Tang Lin Chen Shaohua Wang Yanfeng Ding Weijian Zhang | 2017 | The Crop Journal2017，5，6： | 13 |
| 2 | Fate of Basal N Under Split Fertilization in Rice with ^(15)N Isotope Tracer显示文摘Split fertilization strategy is popularly adopted in rice to synchronize soil nitrogen(N) supply and crop N demand. Attention has been paid more on mid-season topdressing N, but limited on basal N. A clearer understanding of the basal N fate under split fertilization is crucial for determining rational basal N split ratio to improve the yield and reduce the loss to environment. A two-year field experiment with two N rates of 150 and 300 kg Nha^(-1), two split ratios of basal N, 40% and 25%, and two rice varieties,Wuyunjing 23(japonica) and Y-liangyou 2(super hybrid indica), was conducted. Labelled ^(15) N urea was supplied in micro-plots as basal fertilizer to determine the plant uptake, translocation, soil residual, and loss of basal N fertilizer. The results showed that basal N absorbed by rice was only 1.6%–11.5% before tillering fertilization(8–10 d after transplanting), 6.5%–21.4% from tillering fertilization to panicle fertilization, and little(0.1%–4.4%) after panicle fertilization. The recovery efficiency of basal N for the entire rice growth stage was low and ranged from 18.7% to 24.8%, not significantly affected by cultivars or N treatments. Soil residual basal N accounted for 10.3%–36.4% and decreased with increasing total N rate and basal N ratio, regardless of variety and year. 43.8%–70.4% of basal N was lost into the environment based on the N balance. Basal N loss was significantly linearly positive related with the basal N rate and obviously enhanced by the increasing basal N ratio for both varieties in both 2012 and 2013. The N use efficiency and yield was significantly improved when decreasing the basal N ratio from 40% to 25%. The results indicated that the basal N ratio should be reduced, especially with limited N inputs, to improve the yield and reduce the N loss to the environment. | LI Ganghua LIN Jingjing XUE Lihong DING Yanfeng WANG Shaohua YANG Linzhang | 2018 | Pedosphere2018，28，1： | 9 |
| 3 | Data provider system——research and development of data service at Huairou Solar Observing Station (HSOS)显示文摘The data provider system has to provide users with reliable, constant and timely data information, and it has to guarantee further developments of new data applications. We develop a data provider system of hierarchical architecture with components, interactions and relationships in each layer. The system enables each layer to act in concert with each other without restrictions. It contributes to implementing the goal. The main frame of the data provider system has already been successfully implemented, the others of each layer are on the way according to the architecture. | LIN GangHua WANG XiaoFan | 2009 | Science China(Physics,Mechanics & Astronomy)2009，52，11： | 2 |
| 4 | Lifetime of Intranetwork Magnetic Elements显示文摘 | Jun Zhang Ganghua Lin Jingxiu Wang Haimin Wang Harold Zirin | 1998 | Solar Physics1998，，2： | 1 |
| 5 | Lifetime of Intranetwork Magnetic Elements显示文摘 | Jun Zhang Ganghua Lin Jingxiu Wang Haimin Wang Harold Zirin | 1998 | Solar Physics1998，，2： | 1 |
| 6 | Effect of nitrogen fertilizer application on grain phytic acid and protein concentrations in japonica rice and its variations with genotypes显示文摘 | Huifeng Ning Zhenghui Liu Qiangsheng Wang Zhaomiao Lin Shujian Chen Ganghua Li Shaohua Wang Yanfeng Ding | 2009 | Journal of Cereal Science2009，，1： | 1 |
| 7 | Algorithm Development of Cloud Removal from Solar Images Based on Pix2Pix Network显示文摘Sky clouds affect solar observations significantly.Their shadows obscure the details of solar features in observed images.Cloud-covered solar images are difficult to be used for further research without pre-processing.In this paper,the solar image cloud removing problem is converted to an image-to-image translation problem,with a used algorithm of the Pixel to Pixel Network(Pix2Pix),which generates a cloudless solar image without relying on the physical scattering model.Pix2Pix is consists of a generator and a discriminator.The generator is a well-designed U-Net.The discriminator uses PatchGAN structure to improve the details of the generated solar image,which guides the generator to create a pseudo realistic solar image.The image generation model and the training process are optimized,and the generator is jointly trained with the discriminator.So the generation model which can stably generate cloudless solar image is obtained.Extensive experiment results on Huairou Solar Observing Station,National Astronomical Observatories,and Chinese Academy of Sciences(HSOS,NAOC and CAS)datasets show that Pix2Pix is superior to the traditional methods based on physical prior knowledge in peak signal-to-noise ratio,structural similarity,perceptual index,and subjective visual effect.The result of the PSNR,SSIM and PI are 27.2121 dB,0.8601 and 3.3341. | Xian Wu Wei Song Xukun Zhang Ganghua Lin Haimin Wang Yuanyong Deng | 2022 | Computers, Materials & Continua2022，，5： | 0 |
| 8 | Subsurface banding of blended controlled-release urea can optimize rice yields while minimizing yield-scaled greenhouse gas emissions显示文摘Controlled-release urea(CRU)is widely reported to supply crop nitrogen(N)demand with one basal application,thus effectively replacing split applications of urea without diminishing grain yield and N use efficiency(NUE).However,its use for replacement for high-yield split applications of urea(CK)for rice is untested.In addition,the degree to which greenhouse gas(GHG)emissions in rice systems are affected when CRU is substituted for CK remains unclear.During 2017 and 2018,we sampled plant growth and gas emissions in a rice paddy field treated with three CRU types(sulfur-coated urea[SCU],polymer-coated urea[PCU],and bulk blended CRU[BBU])applied via two methods(surface broadcasting on the soil and subsurface banding at 5 cm depth),with CK as a control.The three CRUs led to different soil NH_(4)^(+)-N dynamics,and the N supply pattern under BBU was more beneficial for rice seedling establishment than under SCU and PCU,resulting in grain yield and NUE comparable to those under CK.CRU type showed no significant effect on either CH_(4) emissions or N_(2)O emissions,and broadcast CRUs exhibited significantly higher total GHG emissions than CK.However,banded CRUs significantly reduced the total GHG emissions in comparison with broadcast CRUs,by 9.2%averaged across the two years.Reduced CH_(4) emissions,particularly during the period prior to the middle drainage,contributed largely to the GHG difference.With comparably high grain yield and low total GHG emissions,banded BBU showed a low yield-scaled GHG(GHG emissions divided by grain yield)comparable to that under CK in both years.Overall,our study suggested that N management synchronized with rice demand and contributing to a high NUE tended to minimize yield-scaled GHG.Broadcast CRU can hardly substitute for CK in terms of either grain yield or GHG emissions,but banded BBU is a promising N management strategy for sustaining rice production while minimizing environmental impacts. | Weiwei Li Sajjad Ahmad Dun Liu Shen Gao Yuhui Wang Weike Tao Lin Chen Zhenghui Liu Yu Jiang Ganghua Li Yanfeng Ding | 2023 | The Crop Journal2023，11，3： | 0 |
| 9 | The Chiralities of Three Filaments in AR7500显示文摘An analysis of structure and evolution of three filaments in AR7500 ON May, 1993 is presented. The three filaments show the following remarkable peculiarities: 1) a sinistral filament lies between two dextral filaments and meets them at two cusps. One of the cusps is rooted in positive polarity plage region while the other in a small decaying spot with negative polarity. 2) Both chromospheric plagette associated fibrils near the filaments and the transverse magnetic fields of the photosphere beneath the filaments almost parallel to the long axis of these filaments, suggesting the dominance of axial field of filaments; the spots near filament’s ends, however, do not show clearly counterclockwise or clockwise superpenumbral fibril pattern. 3) The three filaments do not merge into a single filament during 8 day observation. This can be explained by considering that the magnetic fields along their long axes are in different directions at two cusps. When one of dextral filaments and the sinistral filarment eventually dissipate into fibrils connecting the opposite polarity regions, their jointing cusps can be still clearly observed due to their opposite chiralities. | Jiang Yunchun 1,2,3 , Luan Di 1,2 , Lin Ganghua 1,3 , Wang Jingxiu 1,3 1 (National Astronomical Observatories, The Chinese Academy of Sciences, Beijing 100012, China) 2 (Yunnan Observatory, The Chinese Academy of Sciences, Kunming 65001 | 1999 | 天文研究与技术1999，，S1： | 0 |
| 10 | Solar Image Cloud Removal based on Improved Pix2Pix Network显示文摘In ground-based observations of the Sun,solar images are often affected by appearance of thin clouds,which contaminate the images and affect the scientific results from data analysis.In this paper,the improved Pixel to Pixel Network(Pix2Pix)network is used to convert polluted images to clear images to remove the cloud shadow in the solar images.By adding attention module to the model,the hidden layer of Pix2Pix model can infer the attention map of the input feature vector according to the input feature vector.And then,the attention map is multiplied by the input feature map to give different weights to the hidden features in the feature map,adaptively refine the input feature map to make the model pay attention to important feature information and achieve better recovery effect.In order to further enhance the model’s ability to recover detailed features,perceptual loss is added to the loss function.The model was tested on the full disk H-alpha images datasets provided by Huairou Solar Observing Station,National Astronomical Observatories.The experimental results show that the model can effectively remove the influence of thin clouds on the picture and restore the details of solar activity.The peak signal-to-noise ratio(PSNR)reaches 27.3012 and the learned perceptual image patch similarity(LPIPS)reaches 0.330,which is superior to the existed dehaze algorithms. | Xukun Zhang Wei Song Ganghua Lin Yuxi Shi | 2022 | Computers, Materials & Continua2022，，12： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员