洞庭湖烂泥湖水系洪涝灾害风险评估与应对措施

近年来,洪涝灾害是全球发生频繁、危害最严重的气象灾害之一,国内不少学者开始对洪涝灾害进行研究,目前对于洞庭湖区洪涝灾害风险的研究较少。采用综合评价法建立模型对洞庭湖区烂泥湖水系洪涝灾害风险进行评估并提出应对策略,结果表明:新泉寺闸内水位和滞涝水面率的不同导致暴雨对烂泥湖水系的影响程度也不同。同时采取提高滞涝水面率和降低内湖水位,基本可以消除一般年份处于高风险的范围,对于减少低风险范围、增加无风险范围效果更为显著;对于平均风险度为高风险的年份,能够消除大部分高风险区域。     

基于SLAF-seq技术鉴定苹果砧木耐涝候选基因

【背景】苹果（Malus×domestica Borkh）是我国主要栽培果树树种之一,但部分苹果产区由于夏、秋季的大量集中降雨和排水不良等造成果园涝害频繁发生,导致苹果树叶片黄化、脱落,果实品质和产量下降。【目的】鉴定苹果耐涝相关基因,为苹果耐涝分子标记辅助育种和优质高产栽培提供依据。【方法】以耐涝苹果砧木G41和不耐涝苹果砧木新疆野苹果（M. sieverii (Ledeb) Roem.）及其构建的包含495个F₁杂交后代为材料,从F₁杂交群体中挑选出耐涝和不耐涝株系各50株,构建两个极端性状DNA混池,采用简化基因组测序（SLAF-seq）技术,开发SLAF标签和SNP标记,结合苹果基因组信息和遗传关联性分析,对苹果耐涝基因进行定位及候选基因预测,并对候选基因在耐涝差异的株系中进行淹水胁迫下的表达分析。【结果】以‘金冠’苹果为参考基因组,共开发119 072个SLAF标签,其中多态性SLAF有11 133个。通过序列分析和检测SNP位点,共获得6 237 071个SNP,其中高质量SNP有170 617个。通过ED和SNP-index方法关联分析,获得一个与耐涝性状紧密关联的候选区域,位于苹果第10号染色体1.94—3.25 Mb,关联区域大小为1.31 Mb,关联区域内包含120个基因。对该区域内基因进行功能注释,发现一个与呼吸代谢相关的基因—乙醇脱氢酶基因ADH1（MD10G1014500）,在淹水处理后1、2、4和6 d,该基因在耐涝植株中的表达量显著高于不耐涝植株。【结论】将苹果耐涝基因定位于第10号染色体1.94—3.25 Mb处,筛选到可能与苹果耐涝相关的候选基因MD10G1014500,可用于苹果耐涝基因的克隆和功能解析。     

Leaf carbohydrates assimilation and metabolism affect seed yield of rapeseed with different waterlogging tolerance under the interactive effects of nitrogen and waterlogging

Waterlogging is a main factor causing rapeseed (Brassica napus L.) yield loss, and reasonable nitrogen (N) applications can compensate for this loss. To investigate the effects of N rates on seed yield of waterlogged rapeseed, the waterlogging-tolerant rapeseed variety ZS 9 and sensitive variety GH01 were waterlogged for 0 and 10 days with five leaves at the seedling stage under four N rates (0, 90, 180 and 270 kg/ha). Waterlogging significantly decreased seed yield, while N application can alleviate the yield loss. The yield decrease rate of waterlogged GH01 was greater than that of ZS 9 under the same N rate. During the seedling and bolting stage, the leaf photosynthetic rate (Pn) and ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) activity increased, while activities of adenosine diphosphate glucose pyrophosphorylase (AGPase), sucrose synthase (SuSy) and sucrose phosphate synthase (SPS) decreased with more N under the same watering conditions. Compared to the plants without waterlogging, the leaf Pn and Rubisco activity, starch and sucrose contents of waterlogged rapeseed decreased at the two stages; activities of AGPase, SuSy and SPS of waterlogged rapeseed decreased at the seedling while increased at the bolting stage for both the two varieties. At the flowering stage, the Pn, the activities of Rubisco, AGPase, SuSy, SPS and contents of sucrose, starch increased with more N application for both ZS 9 and GH01. Compared to the plants without waterlogging, the Pn and Rubisco activity for waterlogged plants of the two varieties increased; the waterlogged plants of tolerant variety had higher activities of AGPase, SuSy and SPS, while those of sensitive variety was significantly lower. However, the decreased starch and sucrose content were found in both tolerant and sensitive varieties. The activities of AGPase, SuSy and SPS at flowering were highly positively correlated with yield under the interactive effects of N and waterlogging. These results suggested that the flowering stage is the most important stage that N had the positive regulation on waterlogged rapeseed growth. The carbohydrates translocation from leaves to seeds of the tolerant variety were enhanced after waterlogging, while that of the sensitive variety was still inhibited. This was the main reason for the difference in yield between the two waterlogged varieties.     

Waterlogging tolerance of pea at germination

Peas (Pisum sativum L.) are exposed to waterlogging at germination when grown as relay in rice‐based cropping. Ninety‐one germplasm accessions were evaluated in relay (sown in waterlogged soil), and subsequently 10 diverse genotypes compared under relay and sole cropping (conventional tillage sowing) over two seasons in Bangladesh. Contrasting genotypes, BM‐3, NL‐2 and Kaspa, were further evaluated in three waterlogging treatments (drained control, 4 and 8 days waterlogging) in the glasshouse. Conspicuous variation in waterlogging tolerance at germination was observed in the field and confirmed under controlled conditions. In relay sowing in 2011, emergence of a few genotypes was affected by waterlogging. In 2012, emergence in relay was severely affected (12 plants/m²) compared to sole sowing (37 plants/m²). Among genotypes BM‐3 had 6 plants/m² emerge, which all subsequently died, in contrast to NL‐2 in which emergence was 13 plants/m² with all plants surviving. In the glasshouse, there was 14% emergence in BM‐3, 40% in NL‐2 and 55% in Kaspa after 8 days of waterlogging. Such marked differences in waterlogging tolerance at germination in the model pea are the first reported and illustrate prospects for selection to improve adaptation to relay sowing in South Asia.     

基于改进权重湿润指数的东北地区春玉米涝渍灾害评估方法

【目的】研究东北地区春玉米涝渍灾害评估方法,为气候变化背景下东北地区春玉米合理生产和管理提供科学依据。【方法】以权重湿润指数为基础,采用作物需水量代替参考作物蒸散量,构建改进权重湿润指数;运用1986—2015年东北地区春玉米生育期内涝渍灾害事件与改进权重湿润指数耦合方法、基于K-S检验的正态分布显著性检验方法和t-分布区间估计方法等,确定基于改进权重湿润指数的东北地区春玉米不同生育阶段涝渍强度分级阈值;从农田土壤相对湿度与改进权重湿润指数相关性和拟合关系检验,改进权重湿润指数、权重湿润指数评估结果与历史灾情结果一致性检验,以及典型年份涝渍灾变过程动态评估准确性检验3个方面,对改进权重湿润指数评估春玉米涝渍灾害的精度进行验证;分析东北地区春玉米不同生育阶段涝渍强度空间格局,揭示其规律特征。【结果】（1）改进权重湿润指数与不同深度的土壤相对湿度均达到极显著相关（P<0.001）,除玉米快速发育期外,其他生育期内二者相关系数最大值均出现在20 cm深度土壤相对湿度;将不同生育阶段改进权重湿润指数与20 cm深度土壤相对湿度间进行Slogistic曲线拟合,决定系数（R ²）最大值出现在生育中期（0.46）,其后依次是生育后期（0.34）、快速发育期（0.31）和初始生长期（0.21）,均方根误差（RMSE）最小值出现在生育后期（0.49）,其后依次是生育中期（0.51）、初始生长期（0.52）和快速发育期（0.56）,不同生育阶段拟合曲线中90%的20 cm土壤相对湿度所对应的改进权重湿润指数值最小值出现在初始生长期（0.77）,其后依次是快速发育期（1.12）、生育中期（1.21）和生育后期（1.25）。（2）与随机预留的春玉米涝渍灾害事件测试样本中灾情判定结果相比,权重湿润指数评估结果的完全准确率为26.7%,部分准确率为66.7%;改进权重湿润指数评估结果的完全准确率为66.7%,部分准确率为93.3%。（3）以嫩江、白城和沈阳3个代表站点1998年春玉米生育期内涝渍灾害为例,对比降水、权重湿润指数和改进权重湿润指数随时间变化的过程曲线,发现改进权重湿润指数所反映的当年涝渍发生时间和强度等级与灾情资料更为相符,而其大小还可直观表征涝渍强度动态变化。（4）春玉米不同生育阶段各强度等级的涝渍频率差别较大,黑龙江中部、吉林东南部、辽宁东南部为中度及以上涝渍频率的高发区,生育中期是中度及以上涝渍频率高发期。【结论】基于改进权重湿润指数的东北地区春玉米不同生育阶段涝渍强度分级阈值划分方法结果可靠,可表征农田涝渍实际发生状况;相对于权重湿润指数而言,改进权重湿润指数不仅对春玉米涝渍灾害评估准确率更高,而且更适于对涝渍灾变过程的跟踪和动态评估,对于揭示气候变化背景下东北地区春玉米涝渍灾变机制和时空演变规律具有重要意义。     

Hyperspectral Models for Estimating SPAD Value of Cotton Leaves under Waterlogging Stress

[Object] To setup the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress. [Method] Irrigation and drainage controllable plots were introduced to simulate the waterlogging stress treatment in the flowering and boll forming stage, during which the change characteristics of the cotton leaf spectral reflectance and SPAD value were observed after 1 d, 3 d, 6 d, 9 d waterlogging, respectively. To find out the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress, the correlation and regression relationships between SPAD value and spectrum parameters were analyzed. [Result] (1) The SPAD value of the fourth cotton leaf from the top was significantly lower than control when suffers from waterlogging for 3 d, when waterlogged 9 d the SPAD value decreased by around 15% compared with the control. (2) The cotton suffering from waterlogged damage in the flowering and boll forming stage caused the reflection peak in green light wave band became steep, while the near infrared spectral reflectance increased, and caused the reduction of red absorption and red edge position "blue shifts", the red edge position drifts towards short wave with 4～5 nm when suffers from waterlogging for 9 d. With increase of the waterlogged days, the red edge slope and red edge area increased with a maximum value at 6 d of waterlogging, meanwhile, the skewness and kurtosis of red edge increased. (3) After waterlogging, the SPAD value of the fourth cotton leaf from the top (chlorophyll content) had a remarkable correlation with red edge slope(Dr), red edge position(λr), green peak reflection(Rg), green peak position(λg), red well position(λo), blue edge area(SDb), yellow edge skewness(Sy), yellow edge kurtosis(Ky), red edge skewness(Sr), red edge kurtosis(Kr), etc. An experience linear, polynomial and exponential models for estimating SPAD value had been built through using the Sy, Sr, Kr as independent variables, respectively, their determination coefficient (R²) were greater than 0.9, and the root mean square error (RMSE) were less than 1; and an experience binary linear regression equation for estimating SPAD value had been built through multivariate regression using the λg, SDr/SDb(VI3), Sb, Sy, Ky as independent variables, the R² was as high as 0.973, and the RMSE was 0.393. [Conclusion] The model can be remote sensing model used as estimating leaf SPAD of cotton value under waterlogging stress.     

基于MFO-LSTM的母猪发情行为识别

及时准确识别母猪的发情行为可以有效增加受胎率和产仔量,对提高养殖企业的繁育水平和经济效益具有重要意义。该研究针对生猪养殖过程中母猪发情行为识别存在主观性强、智能化水平低、假警报和错误率高、识别不及时等问题,提出了一种基于飞蛾扑火算法(Moth-Flame Optimization,MFO)优化长短时记忆网络(Long Short Term Memory,LSTM)的母猪发情行为识别方法。利用安装在母猪颈部的姿态传感器获得母猪姿态数据,然后使用姿态数据训练MFO-LSTM姿态分类模型,将母猪姿态分为立姿、卧姿和爬跨3类。通过对姿态分类结果进行分析,确定以爬跨行为和活动量2个特征作为发情行为识别依据,使用MFO-LSTM分类算法判断母猪是否发情。以山西省太原市杏花岭区五丰养殖场的试验数据对该方法进行验证,结果表明,该方法在以30 min为发情行为识别时间时的识别效果最好,发情行为识别的错误率为13.43%,召回率为90.63%,特效性为81.63%,与已有的母猪发情行为识别方法相比错误率降低了80%以上。该方法在保证识别准确率的情况下有效降低了错误率,可满足母猪养殖生产过程中发情行为自动识别要求。     

Responses of carbon metabolism and antioxidant system of summer maize to waterlogging at different stages

A field experiment was performed to explore responses of carbon metabolism, antioxidant system and endogenous hormone content of summer maize hybrids DengHai605 (DH605) and ZhengDan958 (ZD958) to waterlogging at the third leaf stage (V3), the sixth leaf stage (V6) and the 10th day after the tasselling stage (10VT). Results showed that waterlogging significantly decreased the contents of zeatin riboside (ZR), indole‐3‐acetic acid (IAA) and gibberellic acid (GA), compared to those of CK. However, leaf abscisic acid (ABA) content was significantly increased by waterlogging at different stages, with the most significant increase was found in the treatment of waterlogging at V3 (V3‐W), with an increase of 30% and 29% for DH605 and ZD958, respectively. Waterlogging significantly decreased antioxidative enzyme activities, accelerating leaf senescence, resulted in the disorder of leaf gas exchange parameters and chlorophyll fluorescence parameters. In addition, waterlogging decreased key enzyme activities of carbon metabolism (ribulose bisphosphate carboxylase and phosphoenolpyruvate carboxylase), with the most significant reduction in V3‐W, with a decrease of 46% and 49% for DH605, and 53% and 55% for ZD958, respectively. Visibly, waterlogging disturbed carbon metabolism, affected plant endogenous hormone content, accelerated leaf senescence and eventually resulted in a significant reduction in photosynthetic characteristic and grain yield. V3 was most susceptible to waterlogging, followed by V6 and 10VT.     

Clostridium bifermentans and C. subterminale are associated with kiwifruit vine decline,known as moria,in Italy

Since 2012, a new pathogenic syndrome has frequently been observed in many areas of kiwifruit cultivation in Italy. The main symptoms include an initial withering of the leaves followed by a total and sudden collapse of plants, mainly occurring during summer. The withered leaves fall and the main and secondary feeder roots appear rotten, sometimes showing a reddish-brown discoloration. The disease, that affects both the green and yellow-fleshed cultivars, has been called kiwifruit vine decline and is locally known as moria. The syndrome has been found consistently associated with soil waterlogging, which frequently occurs either after the traditional agronomical practice of irrigating orchards through surface irrigation or after very heavy rainfall. So far, the role played by bacteria in this syndrome has not been investigated. In the present study, Clostridium spp. were isolated from both rotten roots and soils obtained from Italian kiwifruit orchards affected by the syndrome, indicating for the first time that anaerobic bacteria are able to cause damage to woody crops. C. bifermentans and C. subterminale incited symptoms in kiwifruit in both in vivo and in vitro pathogenicity tests. Soil waterlogging seems to potentially favour colonization of kiwifruit roots by anaerobic bacteria, probably because saturation of the soil can facilitate proliferation and persistence of these bacteria during long periods of the vegetative growth of the crop. The occurrence of anaerobic bacteria does not exclude the possibility that other microorganisms can play additional/synergic role(s) in causing the kiwifruit vine decline.