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.     

新疆春小麦育成品种耐热性评价

为筛选出耐热性好的小麦种质材料,通过开花期至成熟期人工模拟高温胁迫环境,以千粒重热感指数为主要评价指标,评价了新疆近30年来审定的春小麦品种的相对耐热性,并分析了高温胁迫对小麦籽粒蛋白质、湿面筋含量的影响。结果表明,与自然生长相比,高温胁迫条件下新疆春小麦育成品种的千粒重、籽粒宽度的变化均达到了极显著水平（P<0.01）,籽粒长度变化不显著(P>0.05),不同品种间耐热性存在很大差异。综合三年千粒重热感指数（HSI）分析,耐热性相对较好的品种有17个,连续三年HSI＜1的品种有11个,其中新春37号、新春2号、新春38号在高温胁迫条下千粒重变化较小,产量较稳定,为强耐热品种;对高温敏感品种有26个,连续三年HSI≥1的品种有13个,其中新春13号、新春18号、新春33号耐热性相对较弱。高温胁迫影响小麦籽粒的品质,其中13.95%的品种蛋白质含量降低,6.98%的品种湿面筋含量降低,其他品种高温胁迫后籽粒蛋白质、湿面筋含量均较自然生长有所提高。     

新疆春小麦育成品种遗传演变分析

【目的】研究新疆春小麦育成品种遗传演变规律,提高小麦资源的利用效率,为新疆春小麦品种选育和改良提供参考依据。【方法】以新疆春小麦育成品种为材料,对其主要性状进行综合评价分析,以春小麦90K芯片开展新疆春小麦育成种亲缘关系分析。【结果】新疆春小麦育成种遗传多样性丰富,平均遗传多样性指数2.005,变幅为1.902~2.181。相关性分析结果表明,蛋白质含量、湿面筋含量、穗粒数与育种年代呈极显著正相关。新疆春小麦品种选育主要是通过常规杂交育种、杂交辐射诱变育种、引种3种方式。利用小麦90K芯片将新疆春小麦育成种划分为3个类群,显示了各品种之间的亲缘关系。【结论】新疆春小麦育种遗传基础薄弱、遗传多样性逐渐散失,新疆小麦育种应加强资源收集与利用,扩大育种亲本选择,提高品种变异的丰度和广度,以多抗、高产稳产、优质高效的聚合育种,加快新品种选育进程,提高育种效率。     

基于深度学习的玉米拔节期冠层识别

为了满足田间玉米植株快速识别与检测的需求,针对玉米拔节期提出了基于深度学习的冠层识别方法,比较并选取了适于玉米植株精准识别和定位的网络模型,并研制了玉米植株快速识别和定位检测装置。首先拍摄玉米苗期和拔节期图像共计3 000张用于训练深度学习模型,针对拔节期玉米叶片交叉严重的问题,提出了以玉米株心取代玉米整株对象的标记策略。其次在Google Colab云平台训练SSDLite-MobileDet网络模型。为了实现田间快速检测,开发了基于树莓派4B+Coral USB的玉米冠层快速检测装置。结果表明,田间玉米冠层识别模型精度达到91%,检测视频的帧率达到89帧/s以上。研究成果可为田间玉米高精度诊断和精细化作业管理奠定基础。     

具有解析式位置正解的2T1R并联机构运动性能分析

求解具有解析式位置正解且部分运动解耦的并联机构,有利于后续的误差分析、动力学分析、运动轨迹规划与控制等。基于方位特征方程(POC)的并联机构设计理论与方法,设计了两种具有解析式位置正解且部分运动解耦的2T1R并联机构,并对这两种机构进行了方位特征、自由度及耦合度等主要拓扑性能分析;提出基于拓扑特征的运动学建模与求解方法,并据此求解了两种机构的解析式位置正解;基于导出的位置反解,分析了两种机构工作空间、奇异位形、动平台的速度与加速度变化规律。最后比较了两种机构的运动性能,选择了优选机型。为优选机型的动力学分析与样机研制提供了理论基础。     

谷氨酰胺转胺酶特性及其在食品加工中的应用

谷氨酰胺转胺酶可催化机体外大多数食品蛋白质的交联反应。论述谷氨酰胺转胺酶的功能特性、作用机理,以及在食品行业中的应用。     

Mechanisms behind soil N dynamics following cover restoration in degraded land in subtropical China

Purpose

Nitrogen (N) is an important nutrient for re-vegetation during ecosystem restoration, but the effects of cover restoration on soil N transformations are not fully understood. This study was conducted to investigate N transformations in soils with different cover restoration ages in Eastern China.

Materials and methods

Soil samples were collected from four degraded and subsequently restored lands with restoration ages of 7, 17, 23, and 35 years along with an adjacent control of degraded land. A ¹⁵N tracing technique was used to quantify gross N transformation rates.

Results and discussion

Compared with degraded land, soil organic carbon (SOC) and total N (TN) increased by 1.60–3.97 and 2.49–5.36 times in restoration land. Cover restoration increased ammonium and nitrate immobilization, and dissimilatory nitrate reduction to ammonium (DNRA) by 0.56–0.96, 0.34–2.10, and 0.79–3.45 times, respectively, indicating that restoration was beneficial for N retention. There were positive correlations between SOC content and ammonium and nitrate immobilization and DNRA, indicating that the increase in soil N retention capacity may be ascribed to increasing SOC concentrations. The stimulating effect of SOC on ammonium immobilization was greater than its effect on organic N mineralization, so while SOC and TN increased, inorganic N supply did not increase. Autotrophic and heterotrophic nitrification increased with increasing SOC and TN concentrations. Notably, heterotrophic nitrification was an important source of NO₃^??N production, accounting for 47–67% of NO₃^??N production among all restoration ages.

Conclusions

The capacity of N retention was improved by cover restoration, leading to an increase in soil organic carbon and total N over time, but inorganic N supply capacity did not change with cover restoration age.

     

重庆市主要农作物种质资源数据库平台构建研究

农作物种质资源数据库平台构建是提高资源利用率的有效途径,提出了构建重庆市主要农作物种质资源数据库平台的设计思路,根据重庆市典型的10种主要农作物种质数据采集需求和规范,研制了基于Web网络的后台采集录入功能和前台展示查询功能的共享平台,实现了重庆市主要农作物种质资源数据资源的网络共享。     

寒温带兴安落叶松林不同林型土壤微生物群落特征

为了研究不同林型兴安落叶松林土壤微生物生物量和群落结构特征,探讨土壤微生物生物量、群落结构的分布规律以及影响因子,选择了4个典型兴安落叶松林,即藓类兴安落叶松林、杜香兴安落叶松林、草类兴安落叶松林和杜鹃兴安落叶松林,采用磷脂脂肪酸生物标记法分析4个林型的土壤微生物量和群落组成。结果表明:4个林型中共检测出10种类型51种不完全分布的磷脂脂肪酸(PLFAs)生物标记,微生物量由多到少的排序为细菌、真菌、放线菌。4个林型中微生物总生物量、细菌生物量是藓类兴安落叶松林最高,草类兴安落叶松林最低;真菌生物量为杜香兴安落叶松林最高,草类兴安落叶松林最低;放线菌生物量为杜鹃兴安落叶松林最高,草类兴安落叶松林最低。冗余分析显示,土壤含水率对细菌影响最大,全钾、速效钾质量分数对真菌影响最大,土壤有机碳和碱解氮质量分数对放线菌影响最大。从而表明,寒温带兴安落叶松林不同林型的土壤微生物生物量和群落存在差异,土壤微生物群落与土壤性质之间具有相关性。     

宁夏银川地区奶牛繁殖性能调查

对宁夏银川地区17个奶牛养殖场（户）9204头荷斯坦奶牛的饲养状况进行了调查、统计和分析．结果显示，成年母牛5100头，占牛群总数的55．41％；育成母牛2956头，占牛群总数的32．12％；母犊牛1148头，占牛群总数的12．47％．对5100头成年母牛的繁殖性能进行了调查、统计和分析．结果显示，首次产犊平均月龄为24．20～25．70月，第1次情期受胎率为50．00％～52．67％，产犊间隔为13．61～13．85月，怀孕所需配种次数为2．43～2．60次，流产率为7．60％～12．00％，繁殖率为80．00％～86．55％，犊牛成活率为83．33％～94．10％，母犊牛比例为45．00％～51．23％，胎衣不下率为18．25％～35．00％．