Irrigation and Zn fertilizer management improves Zn phyto‐availability in various rice production systems

Zinc (Zn) is an important micronutrient for rice (Oryza sativa L.) production and its deficiency has been observed in various production systems. High grain Zn concentration is equally important for high rice yield and human health. In this work, the effects of Zn fertilization on seedling growth, grain yield, grain Zn concentration, and their association with root traits were studied under alternate wetting and drying (AWD), aerobic rice (AR), system of rice intensification (SRI), and continuous flooding (CF). Zinc fertilization (15 kg ha^?1) improved nursery seedlings chlorophyll and Zn concentrations, root length, and number of roots with highest values observed in CF. At harvesting, maximum plant height, panicle length, total and panicle bearing tillers, and kernel yield were found with Zn addition in AWD and CF rice systems. Mid season drainage provided at maximum tillering and Zn fertilization increased its concentration in leaves, culms, panicles, and grains under CF and AR at physiological maturity. Most of Zn applied was allocated into culms and panicles, nevertheless, a significant increase in grain Zn concentration was also observed in all production systems. Association of leaf Zn with grain Zn concentration was stronger than with culm and panicle Zn. The results indicate that Zn application after rice nursery transplanting is more important for grain Zn enrichment in all rice systems than for increase in grain yield in all systems except AWD where grain yield was also increased. More grain yield in CF and AWD as compared to SRI and AR can also be attributed to decreased spikelet sterility and to better Zn phyto‐availability in these rice systems at physiological maturity.     

The Characterization of Heavy Metals in the Grapevine (Vitis vinifera) Cultivar Rkatsiteli and Wild Blackberry (Rubus fruticosus) from East Serbia by ICP-OES and BAFs

Inductively coupled plasma optical emission spectroscopy, in combination with calculation of various biological factors, was used in this study not only for a simple illustration of the present status of some essential and non-essential metals such as copper (Cu), zinc (Zn), nickel (Ni), lead (Pb), arsenic (As), and cadmium (Cd) in the grapevine cultivar Rkatsiteli and wild blackberry from East Serbia but also for the estimation of plant bioaccumulation potentials. Great majority of detected metal concentrations were in normal ranges except in few cases: Zn concentrations were at the level of deficiency in almost all plant parts, and some Cu and As concentrations were at the levels that could be considered phytotoxic. Biological accumulation factors provided very informative data on metal accumulation and translocation in both plants and pointed to low accumulation rates of metals except in the case of Cu, Zn, and As in some wild blackberry tissues.     

土壤磷酸盐氧同位素分析方法和应用研究进展

在一定温度下磷酸盐和周边水体氧的同位素分馏仅受生物活动控制,因此磷酸盐氧同位素成为生态系统中磷源和磷循环研究的良好示踪剂。介绍了磷酸盐氧同位素研究应用的理论基础和近几年来针对土壤富含有机质,氧元素来源多样的特点发展起来的土壤磷酸盐氧同位素的分析和纯化方法,综述了磷酸盐氧同位素在土壤磷源示踪和磷循环应用研究中的初步进展,并提出目前研究存在的局限和对未来工作的展望。     

Studies on the effect of humic acid on availability of phosphorus

It is believed that some organic compounds form complexes with iron and aluminum and prevent the fixation of phosphate applied to soils.     

缺钾对水稻不同品种光合和能量耗散的影响

试验测定了钾敏感型(二九丰)和钾钝感型(原丰早)两个水稻品种在缺钾处理41.d后其剑叶的生长、光合光响应曲线、叶绿素荧光参数光响应曲线和暗弛豫动力学曲线。结果表明,缺钾降低了水稻剑叶的光合作用,显著抑制了生长。但是缺钾条件下导致两个水稻品种净光合速率(Pn)下降的主导因子并不相同。在缺钾条件下,原丰早(YFZ)剑叶的Pn随气孔导度(Gs)和胞间CO2浓度(Ci)的下降而下降,但叶绿素荧光参数和叶绿素含量几乎没有变化,说明其Pn下降主要归于气孔的限制。缺钾处理41.d后,二九丰(EJF)在低光强下[500mol/(m2.s)],Pn随Gs和Ci下降,但在更强的光强下,Pn和Gs继续下降,而Ci开始上升,并在1200mol/(m2.s)处超越了对照,说明此时主导因子不单受气孔限制,还受非气孔因子限制;它的光饱和点从1200mol/(m2.s)下降到大约500mol/(m2.s);同时,其荧光参数Fv/Fm、ФPSII、qP和ETR随光强上升而迅速下降,而L(PFD)、E和PP迅速增加,NPQ在1200mol/(m2.s)光强下上升,但是在高光强下却迅速降低,甚至低于对照,而且Fm、Fv/Fm下降,Fo上升,均说明缺钾处理可能使光合机构受到了伤害,发生了光抑制。对非光化学猝灭的分析得到其中间组分qNm可能起了更大的能量耗散作用,部分激发能从PSⅡ转移到PSⅠ,降低了PSⅡ耗散能量的压力。以上结果表明,两品种对钾敏感性不同极可能也与缺钾条件下光保护能力的差异有关。     

The effects of long-term conservation tillage, crop residues and P fertilizer on soil conditions and responses of summer and winter crops on an Andosol in Japan

A field experiment was conducted from 1983 to 1992 in Tsukuba, Japan to investigate the effects of tillage on soil conditions and crop growth in a light-colored Andosol. Three tillage methods (NT: no-tillage, RT: no-tillage for summer cropping and moldboard plowing for winter cropping, and CT: conventional rotary tillage to a depth of 15 cm) were employed in combination with crop residue application (+R, −R) and fused magnesium phosphate (FMP) fertilization (+P, −P). Under the combination of NT and +R, diurnal variation of soil temperature at a depth of 5 cm was smaller during the summer cropping season and soil temperature in the daytime was lower during the winter cropping season than under CT. Soil inorganic N concentration at a depth of 0–30 cm was +R > −R and NT > RT > CT. The early growth of summer crops was accelerated under NT in comparison with CT, and yields were higher under NT and RT in comparison with CT. On the other hand, winter crop yields were significantly reduced under NT, while they were still higher under RT in comparison with CT. Yields were higher with +R and +P application, respectively, and these effects were more pronounced in winter cropping. The positive effect of FMP fertilization was greater in combination with NT, and that of residue treatment was greater in combination with RT and NT than with CT. In conclusion, the best tillage practice for Andosols on the Kanto Plain is RT, i.e. a combination of NT for summer cropping and CT for winter cropping. The application of NT for winter cropping is not recommended, although the application of phosphate and crop residues could reduce the risk of yield reduction, because of improved soil nutrient status and moderation of diurnal soil temperature.     

基于深度学习的大豆生长期叶片缺素症状检测方法

为了检测作物叶片缺素,提出了一种基于神经网络的大豆叶片缺素视觉检测方法。在对大豆缺素叶片进行特征分析后,采用深度学习技术,利用Mask R-CNN模型对固定摄像头采集的叶片图像进行分割,以去除背景特征,并利用VGG16模型进行缺素分类。首先通过摄像头采集水培大豆叶片图像,对大豆叶片图像进行人工标记,建立大豆叶片图像分割任务的训练集和测试集,通过预训练确定模型的初始参数,并使用较低的学习率训练Mask RCNN模型,训练后的模型在测试集上对背景遮挡的大豆单叶片和多叶片分割的马修斯相关系数分别达到了0.847和0.788。通过预训练确定模型的初始参数,使用训练全连接层的方法训练VGG16模型,训练的模型在测试集上的分类准确率为89.42%。通过将特征明显的叶片归类为两类缺氮特征和4类缺磷特征,分析讨论了模型的不足之处。本文算法检测一幅100万像素的图像平均运行时间为0.8 s,且对复杂背景下大豆叶片缺素分类有较好的检测效果,可为农业自动化生产中植株缺素情况估计提供技术支持。     

植物Pht1家族磷转运子的分子生物学研究进展

植物磷转运子是植物磷营养中的重要蛋白之一。对植物磷转运子蛋白的拓扑结构、功能及其基因的调控和表达位点的研究,揭示了植物磷转运子各家族中各成员在磷代谢中的角色。植物磷转运子中Pht1家族是一类H2PO4-/H 共转运子,该家族主要成员在植物根系中负责磷的吸收、转运,其表达受磷调控,因此是研究得最为深入的植物磷转运子家族。本文总结了植物Pht1家族磷转运子的最新研究进展,讨论了植物磷转运、分配的分子机理,并指出今后研究的主要方向,为开拓改良植物磷效率的新思路提供依据。     

大豆耐低磷胁迫研究进展

磷是作物生长发育不可缺少的营养元素之一,但它在土壤中有效性是非常低的.缺磷是限制目前农业产量的一个重要因子,传统的农业生产主要通过施肥和土壤改良来满足植物对磷的需求,近年来人们开始发掘磷高效利用植物来替代传统方法提高磷的利用效率.在缺磷胁迫下,植物会产生一系列的包括根系形态及生理方面的适应性变化.本文综述了低磷胁迫对大豆根系、光合作用等影响的研究进展,大豆耐低磷胁迫的遗传学研究进展,以及讨论当前大豆磷效率遗传研究中存在的主要问题.     

基于B/S模式的奶牛日粮诊断系统的实现

针对现有奶牛日粮诊断过程中只考虑日粮营养组分方面的因素造成的局限性,本文首次提出了将奶牛日粮营养组分与营养代谢性病两个因素综合考虑,并以此结果对日粮配方优化设计。基于web2.0技术,采用JSP+Tomcat+MySQL架构,建立了B/S（浏览器/服务器）模式的奶牛日粮诊断系统。该系统先进实用,能有效地解决奶牛日粮配方针对性不强、难以规避奶牛营养性疾病等问题。