Root architecture of sorghum genotypes differing in root angles under different water regimes

Plant root architecture offers the potential for increasing soil water accessibility, particularly under water-limited conditions. The objectives of this study were to evaluate the root architecture in two genotypes of sorghum (Sorghum bicolor (L.) Moench) differing in root angles and to assess the influence of different deficit irrigation regimes on root architecture. The response of two sorghum genotypes, ‘Early Hegari-Sart’ (EH; steep root angle) and ‘Bk7’ (shallow root angle) to four irrigation treatments was investigated in two replicated outdoor studies using large pots. The results indicated that EH possessed steeper brace and crown root angles, fewer brace roots, greater root biomass, and root length density than Bk7 at deeper soil depths (i.e., 15–30 and 30–45 cm) compared with a shallower depth (i.e., 0–15 cm). Across the soil profile, EH had greater root length density and length of roots of small diameter (<1 mm) than Bk7. Accordingly, EH showed more rapid soil-water capture than Bk7. Different levels of irrigation input greatly affected root architecture. Severe deficit irrigation (25% of full crop transpiration throughout the season) increased the angle and number of crown roots, root biomass, and root length density compared with 75 and 100% of full crop transpiration treatments. Consequently, root system architecture can be effectively manipulated through both genotypic selection and irrigation management to ensure optimal performance under different levels of soil available water.     

基于多结构鲁棒估计的虹膜外边缘定位方法

在Adaboost检测人脸区域的基础上，提出了基于多结构鲁棒估计的虹膜外边缘定位方法．通过对200幅单人脸的图像数据集的仿真实验，结果表明，本方法相比于传统的RANSAC模型生成算法以及Hough变换等方法，能得到更精确的定位结果，而且能加快有效的模型生成，虹膜外边缘定位精度达到94％．     

The role of lignin and cellulose in the carbon-cycling of degraded soils under semiarid climate and their relation to microbial biomass

A high level of biological degradation is usually observed in soils under semiarid climate where the low inputs of vegetal debris constraint the development of microbiota. Among vegetal inputs, cellulose and lignin are dominant substrates but their assimilation by the microbial community of semiarid soils is yet not understood. In the present study, ¹³C-labeled cellulose and ¹³C-labeled lignin (75 μg ¹³C g⁻¹ soil) were added to two semiarid soils with different properties and degradation level. Abanilla soil is a bare, highly degraded soil without plant cover growing on it and a total organic C content of 5.0 g kg⁻¹; Santomera soil is covered by plants (20% coverage) based on xerophytic shrubs and has a total organic C content of 12.0 g kg⁻¹. The fate of added carbon was evaluated by analysis of the carbon isotope signature of bulk soil-derived carbon and extractable carbon fractions (water and sodium-pyrophosphate extracts). At long-term (120 days), we observed that the stability of cellulose- and lignin-derived carbon was dependent on their chemical nature. The contribution of lignin-derived carbon to the pool of humic substances was higher than that of cellulose. However, at short-term (30 days), the mineralization of the added substrates was more related to the degradation level of soils (i.e. microbial biomass). Stable isotope probing (SIP) of phospholipid fatty acids (PLFA-SIP) analysis revealed that just a minor part of the microbial community assimilated the carbon derived from cellulose and lignin. Moreover, the relative contribution of each microbial group to the assimilation of lignin-derived carbon was different in each soil.     

基于无人机成像高光谱影像的冬小麦LAI估测

利用无人机Cubert UHD185 Firefly成像光谱仪和ASD光谱仪获取了冬小麦挑旗期、开花期和灌浆期的成像和非成像高光谱以及LAI数据。首先,对比ASD与UHD185光谱仪数据光谱反射率,评价两者精度;然后,选取7个光谱参数,分析其与冬小麦3个生育期LAI的相关性,并使用线性回归和指数回归挑选出最佳估测参数;最后利用多元线性回归、偏最小二乘、随机森林、人工神经网络和支持向量机构建了冬小麦3个不同生育期LAI的估测模型。结果表明:UHD185光谱仪光谱反射率在红边区域与ASD光谱仪趋势一致性很高,反射率在挑旗期、开花期、灌浆期的R^2分别为0.9959、0.9990和0.9968,UHD185光谱仪数据精度较高;7种光谱参数在挑旗期、开花期、灌浆期与LAI相关性最高的参数分别是NDVI(r=0.738)、SR(r=0.819)、NDVI×SR(r=0.835);LAI-MLR为冬小麦LAI的最佳估测模型,其中开花期拟合性最好,精度最高(建模R^2=0.6788、RMSE为0.69、NRMSE为19.79%,验证R^2=0.8462、RMSE为0.47、NRMSE为16.04%)。     

猪粪施用量对红壤旱地理化性质及酶活性的影响

为研究猪粪的合理施用及其对红壤旱地地力提升的效应,利用在第四纪红壤旱地中连续3年分别施用0、7.5、15、30、45 t·hm~(-2)猪粪的小区定位试验,比较不同处理下菠菜和玉米地上部生物量、土壤相关理化性质、碳氮磷循环相关酶活性的差异。结果表明:菠菜和玉米地上部生物量、土壤有机质、土壤全量和速效态氮磷钾含量均随猪粪施用量的增加呈线性增加。当猪粪施用量达45 t·hm~(-2)时菠菜、玉米平均地上部生物量分别达到11.48、20.84 t·hm~(-2),土壤有机质和全氮、全磷含量分别达14.6、1.07、0.73 g·kg~(-1),土壤碱解氮、有效磷、速效钾含量分别达85.47、106.9、411.7 mg·kg~(-1),但与猪粪施用量为15和30t·hm~(-2)时土壤养分含量的差异不显著,而土壤中与碳氮磷循环相关的6种酶活性则与猪粪施用量呈线性相关,且在施用量为30或45t·hm~(-2)时出现显著差异;6种酶活性与土壤有机质、养分含量间均具有显著或极显著正相关关系。研究结果显示,第四纪红壤旱地在本试验猪粪施用量范围内,土壤有机质和养分含量、酶活性等指标均随施用量的增加而相应提高,作物地上部生物量亦呈线性增加,但同时须注意土壤速效态养分含量过高可能带来的氮磷流失加剧等问题。     

河北太行山区典型水土保持林乔木层生物量及碳储量研究

以河北太行山区4种典型水土保持林为研究对象,对混交林(栓皮栎-侧柏)、油松林、栓皮栎林和刺槐林的乔木层各器官生物量、含碳率以及碳储量进行比较研究。结果表明:混交林、油松林、栓皮栎林和刺槐林生物量分别为51.94,86.40,90.19,18.08t/hm^2,栓皮栎林和油松林生物量高于4种水土保持林生物量的均值(61.65t/hm^2),而混交林和刺槐林生物量分别占生物量均值的84.25%,29.33%。不同林分各器官在乔木层生物量中分配顺序均表现为树干>树根>树枝>树叶。4种典型林分各器官含碳率分别为45.16%~58.93%,58.48%~64.61%,51.16%~58.37%,52.35%~62.30%。4种典型林分碳储量为10.10~53.85t/hm^2。不同林分类型各器官碳储量与生物量呈正比关系,与生物量趋势基本相同,碳储量大小表现为油松林>栓皮栎林>混交林>刺槐林。     

γ-戊内酯/水复合溶剂体系中金属硫酸盐催化半纤维素定向转化制备糠醛

以廉价金属硫酸盐为催化剂,在γ-戊内酯/水复合溶剂中催化半纤维素定向转化制备糠醛,糠醛得率高达50.2%,半纤维素液化转化率达95.5%。在γ-戊内酯/水复合溶剂中,以金属硫酸盐为催化剂进一步研究了直接催化木质纤维生物质原料玉米芯和竹粉定向转化制备糠醛,其中糠醛得率分别达39.5%、29.7%,木质纤维原料液化转化率分别达86.5%、80.5%。     

龙脑型阴香可蒸生物量预测模型研究

龙脑型阴香（Cinnamomum burmannii chvar. borneol）矮林经营中，企业和农户需预估可蒸 生物量，以便根据加工能力合理安排采收面积。研究以 3~5 年生龙脑型阴香矮林为对象，按照企业收 购标准，统一以 120 cm 为截顶高度、下部枝条全部保留的方法开展采收测定，在同一试验林中，分 别在 3.5 a 生林龄生长期为 1 a 时和 5.5 a 生林龄生长期为 2 a 时测定树高、胸径、冠幅、分枝数和可蒸 生物量 5 个性状。以线性和非线性的方法拟合单株可蒸生物量模型，用 R2、RMSE、AIC、BIC 等指 标评价并筛选出最佳模型，筛选结果是 2 a 生长期最优线性和非线性模型分别 DB=0.625H+0.076HDD， DB=0.091HDD+0.000 017 8HDD2 ，1 a 生长期的分别是 DB=-1.646H-2.734D+4.134C+1.252HD，DB=-1.356 H+0.907H2。4 个模型在实际应用中估算的相对误差分别是 16.680%、14.107%、2.036% 和 20.543%。企业 可依模型估算可蒸生物量，合理安排采收面积。     

SiO2纳米颗粒对杉木幼苗生长发育的影响

【目的】近年来,硅对于的植物影响受到人们广泛关注,人们试图将硅确定为植物生长发育的的“必要元素”。因此如何提高植物对硅的吸收利用来增加植物的农艺性状和产量,是当前农业和林业研究的一个重要课题。【方法】以黄枝杉Cunninghamia lanceolata和罗田垂枝杉C.lanceolata var.luotian为材料,采用盆栽的方式,研究施加不同浓度的纳米SiO2颗粒(0、1、2、4 g/盆)对杉木幼苗光合参数、叶绿素荧光、叶片厚度、氮磷钾含量及其分配、生物量累积的影响。【结果】本研究结果显示,SiO2纳米颗粒对杉木根系的生长发育有很大的促进作用,使之能更好的吸收养分,加强了氮磷钾含量的累积。且叶片的厚度也有所增加,在较低的浓度下,气孔导度、光合作用机制、以及光合作用效率增加;地上的生物量也随着施入SiO2纳米颗粒浓度的增加而增加。【结论】我们的实验表明,SiO2纳米颗粒通过促进根系发育加强对营养的吸收和提升叶片厚度,以及提高净光合速率和气孔导度来提高植物的生长机理,进而增加植物的生物量来提升产量。鉴于其对植物生长发育及产量的多种积极影响,硅纳米材料将会为农林植物增产有重要的影响和广阔的前景。