土壤有机质含量可见-近红外光谱反演模型校正集优选方法

土壤有机质含量可见-近红外光谱反演过程中校正集的构建策略对模型的预测精度有重要影响。以江汉平原洪湖地区水稻土为研究对象,采用Kennard-Stone(KS)法,Rank-KS(RKS)和Sample set Partitioning based on joint X-Y distance(SPXY)法,构建样本数占总校正集不同比例的子校正集,通过偏最小二乘回归,建立土壤有机质含量的可见—近红外光谱反演模型。结果表明:KS法无法提高模型预测精度,但可以在保证标准差与预测均方根误差比(ratio of performance to standard deviation,RPD)2.0的前提下减少30%的校正样本;基于SPXY法的模型,当子校正集样本比例为总校正集的50%时达到最佳的模型预测精度,RPD为2.557;RKS法能够在保证预测精度的情况下(RPD2.0),最多减少总校正集70%的样本,对应模型RPD为2.212。当校正集与验证集的有机质含量分布相近时,能够以较少的建模样本达到与总校正集相近甚至更高的模型预测精度,提升土壤有机质光谱反演模型的实用性。     

基于局部加权回归的土壤全氮含量可见-近红外光谱反演

全氮是土壤肥力的重要指标,对作物产量具有决定性作用,采用土壤可见-近红外(Vis-NIR)光谱预测技术及时获取土壤全氮含量信息具有重要意义。采用来自5省的450个土壤样本来验证局部加权回归方法(LWR)结合Vis-NIR光谱技术预测大面积土壤全氮含量的适用性。结果表明,LWR模型的预测效果优于偏最小二乘回归(PLSR)、人工神经网络(ANN)和支持向量机(SVM),选取主成分数为5,相似样本为40时,模型验证的决定系数(RP2)为0.83,均方根误差(RMSEP)为0.25 g kg-1,测定值标准偏差与标准预测误差的比值(RPD)达到2.41。LWR从建模集中选取与验证样本相似的土样作为局部建模样本,降低了差别大的样本对模型的干扰,从而提高了模型的预测能力。因此,LWR建模方法通过大范围、大样本土壤光谱数据进行大尺度区域的全氮等土壤属性预测时能够发挥更好的作用。     

饲料中肉骨粉含量的近红外反射光谱检测方法

收集28份鸡饲料,31份猪饲料,25份牛饲料和肉骨粉7份,在饲料中掺入不同比例(0.5%～6.0%)的肉骨粉,制成分析样本.采用偏最小二乘(PLS)法,分别对光谱进行散射校正、平滑、一阶导数和二阶导数预处理,建立了鸡饲料、猪饲料和牛饲料中肉骨粉含量的近红外定量分析模型.利用验证集样本对定标模型进行了检验,鸡饲料、猪饲料和牛饲料中肉骨粉含量的真值与预测值之间的决定系数分别为0.9694、0.9846和0.9788;标准差分别为0.279、0.252和0.287;相对分析误差分别为5.663、6.865和5.889.结果表明,利用近红外光谱法测定饲料中的肉骨粉含量具有较高的预测精度.     

近红外光谱法测定玉米秸秆饲用品质

为了对玉米秸秆的饲用品质进行可靠、便捷、快速的分析和评价,该研究以不同品种、密度、氮肥和水分处理的不同发育时期和不同部位玉米秸秆为试验材料,应用近红外光谱（NIRS）技术和偏最小二乘法（PLS）,采用一阶导数+中心化+多元散射校正的光谱数据预处理方法,构建了玉米秸秆体外干物质消化率（IVDMD）、酸性洗涤纤维（ADF）、中性洗涤纤维（NDF） 和可溶性糖（WSC）含量的NIRS分析模型。所建立的IVDMD、ADF、NDF和WSC含量的NIRS校正模型决定系数（R2cal）分别为0.9906、0.9870、0.9931和0.9802,交叉验证决定系数（R2cv）分别为0.9593、0.9413 、0.9678和0.9342,外部验证决定系数（R2val）分别为0.9549、0.9353、0.9519和0.9191,各项标准差（SEC、SECV和SEP）为0.935～1.904,相对分析误差（RPD）均大于3。结果表明,各参数的NIRS分析模型可用于玉米秸秆饲用品质的分析和品种选育的快速鉴定。     

基于相似光谱匹配预测土壤有机质和阳离子交换量

土壤可见光-近红外波段光谱(350~2 500 nm)包含了大量的土壤属性信息,相同类型的土壤具有相似的光谱曲线特征,但相似光谱曲线是否具有相似的属性含量?探讨此问题可为土壤光谱库的应用提供依据,从而最终服务于快速获取土壤信息技术体系的构建。该研究以安徽宣城为研究区,根据母质、地形特征和土地利用等信息,采集91个典型土壤剖面,共含400个土壤发生层样品,测定了有机质(soil organic matter,SOM)和阳离子交换量(cation exchange capacity,CEC)含量,同时采用VARIAN公司的Cary 5000分光光度计测定了土壤光谱,并将光谱数据变换为反射率(R)、反射率一阶导数(FDR)和吸收度(Log(1/R))3种形式。该文采用光谱角(spectral angle mapper,SAM)、偏最小二乘回归(partial least square regression,PLSR)和SAM-PLSR(spectral angle mapper-partial least square regression,SAM-PLSR)3种方法预测土壤SOM和CEC。SAM方法是通过对测试集104个光谱曲线与参考集的296个光谱曲线进行相似性计算,并以此实现土壤SOM和CEC含量的预测。SAM-PLSR方法以SAM算法下的匹配结果作为建模样本建立PLSR模型和进行预测分析。结果表明,具有相似光谱曲线的土壤具有相似的SOM和CEC含量,SAM算法下相似光谱匹配可直接预测SOM(R2=0.78,RPD=2.17)和CEC(R2=0.82,RPD=2.41)。PLSR方法可很好地预测SOM(R2=0.87,RPD=2.77)和CEC(R2=0.87,RPD=2.59);相较之下,SAM-PLSR方法不仅可以更加准确预测SOM(R2=0.89,RPD=3.00)和CEC(R2=0.91,RPD=3.06),而且大大减少了建模样本的数量。该研究使可见光-近红外光谱可更加高效地用于土壤属性分析,并为土壤光谱数据库的建设及应用提供技术参考。     

日粮精粗比对泌乳奶牛养分消化的影响

选择4头安装有永久性瘤胃、十二指肠前端和回肠末端T形瘘管的荷斯坦泌乳奶牛,按4×4拉丁方设计,分别以铬染纤维和Co-EDTA为食糜固相和液相指示剂,研究精粗比约为30∶70的“高低质粗料型”日粮、30∶70的混合型高青贮日粮、50∶50的精粗料比例相当的日粮及65∶35的高精料日粮等4种日粮对瘤胃食糜稀释率及干物质(dry matter,DM)、有机物(organic matter,OM)、中性洗涤纤维(neutraldetergent fiber,NDF)和酸性洗涤纤维(acid detergent fiber,ADF)等养分进食量、十二指肠流量及消化道不同部位表观消化率的影响。结果表明:日粮精粗比显著(P<0.05)或极显著(P<0.01)影响奶牛DM、OM、NDF和ADF进食量、十二指肠流量及DM、OM和ADF瘤胃表观降解率,而对奶牛瘤胃食糜液相和固相稀释率、NDF瘤胃表观降解率及DM、OM、NDF和ADF后肠道和全消化道表观消化率没有影响(P>0.05)。     

多种潮土有机质高光谱预测模型的对比分析

为了对比不同方法建模效果的差异,筛选潮土有机质高光谱最佳预测模型,该研究采集国家潮土土壤肥力与肥料效益长期监测站不同施肥处理耕层土样83份,采用25种光谱预处理方法(15种单一预处理方法,10种预处理方法相加算法)结合3种建模方法(多元线性回归、偏最小二乘回归、支持向量机回归),构建不同的潮土有机质高光谱预测模型。对比模型预测结果表明,最佳光谱建模方法是偏最小二乘回归法,该方法结合多种预处理方法均获得了较高的模型预测精度和可靠性,25个检验模型的平均决定系数、均方根误差值RMSEv和相对分析误差RPD值分别为0.913、1.264 g/kg和3.299。使用预处理方法相加算法能更好地提升模型精度,相比使用单一预处理方法,3种建模方法的检验模型平均决定系数分别提高了0.049、0.033和0.071,RMSEv分别降低了0.318、0.204和0.528 g/kg,RPD值分别提高了0.530、0.307和1.144。先用多元散射校正法再进行5个平滑点数的一阶导数预处理在3种建模方法中表现均较好(平均决定系数=0.934,平均RMSEv=1.17 g/kg,平均RPD=3.59),可作为潮土有机质预测模型的通用预处理方法。偏最小二乘回归模型结合最大值标准化预处理所建模型(决定系数=0.948,RMSEv=0.972 g/kg,RPD=4.276)精度高、可靠性强,且建模过程数据运算更为简便,是筛选出的最佳潮土有机质高光谱预测模型。该研究结果对潮土有机质高光谱预测建模有一定的指导作用,并为筛选最佳高光谱预测模型提供技术参考。     

基于近红外光谱的土壤全氮含量估算模型

土壤全氮是诊断土壤肥力水平和指导作物精确施肥所需的重要信息,建立土壤全氮的近红外光谱估测模型并对建模波段进行优化选择对于土壤养分信息快速获取和精确农业发展具有重要意义。该研究以中国中、东部地区5种主要类型土壤为研究对象,利用近红外光谱仪采集土壤样品的光谱信息,结合近红外区域分子振动特点选取全谱、合频、一倍频、二倍频和N-H基团及其组合的8个波段,采用多元散射校正等多种预处理方法组合进行处理,结合偏最小二乘法(PLS)对每个波谱区域进行定标建模。结果表明,利用4000～5500cm-1波谱区域结合附加散射校正处理过的原始光谱建立的模型精度表现最好,其内部互验证决定系数达到0.90,均方根误差为0.16。经不同类型土壤的观测资料检验,模型验证决定系数为0.91,均方根误差为0.15,相对分析误差RPD为3.40,表明模型具有极好的预测能力。因此,利用近红外光谱可以实现土壤全氮的快速估测,且以合频波段(4000～5500cm-1)为建模区域可以得到更好的预测效果。     

应用可见/近红外高光谱成像测定鲑鱼片脂肪含量分布(英文)

脂肪作为一种重要的品质参数,在大西洋鲑鱼片中的分布很不均匀。为寻找一种能替代脂肪化学检测的快速无损的方法,该研究应用可见/近红外高光谱成像测定大西洋鲑鱼片的脂肪含量分布。分别采用可见/短波近红外(400-1100 nm)和近红外(900-1700 nm)系统获取大西洋鲑鱼片样本的高光谱图像。提取样本图像的平均光谱并与其相应的脂肪含量化学值采用偏最小二乘回归(partial least squares regression,PLSR)和最小二乘支持向量机(least-squares support vector machines,LS-SVM)建立相关性模型。为降低高光谱图像的共线性和冗余度,基于竞争性自适应重加权算法(competitive adaptive reweighted sampling,CARS)分别在可见/短波近红外和近红外光谱区间提取16个(468,479,728,734,785,822,863,890,895,899,920,978,1005,1033,1040,1051 nm)和15个(975,995,1023,1047,1095,1124,1167,1210,1273,1316,1354,1368,1575,1632,1661 nm)特征波长,并分别建立PLSR和LS-SVM模型。特征波长模型的性能优于全波段模型,且近红外区间的特征波长PLSR模型为最优,预测决定系数(R2p)为0.92,预测均方根误差(root mean square error of prediction,RMSEP)为0.92%,剩余预测偏差(residual predictive deviation,RPD)为3.50。最后,将最优模型用于预测高光谱图像上所有像素点的脂肪含量以展示样本上脂肪的分布。此外,还基于该技术对大西洋鲑整鱼片实现了脂肪分布可视化。结果表明高光谱成像技术结合化学计量学方法在大西洋鲑鱼片脂肪的定量和分布可视化上有一定的研究和应用前景。     

近红外光谱快速检测食用油必需脂肪酸

为了建立食用油必需脂肪酸快速检测的方法,该研究提出了基于近红外光谱技术检测食用油中α-亚麻酸和亚油酸含量的快速测定方法。对光谱信息分别采用偏最小二乘回归方法(PLS)和最小二乘支持向量机(LS-SVM)建立模型。比较了多种光谱预处理方法对模型预测能力的影响。结果表明对于亚油酸含量的预测,采用Savitzky-Golay平滑法结合多元散射校正(MSC)的光谱预处理所建立的LS-SVM模型最优。预测集的决定系数(R2)、预测均方根误差(RMSEP)和剩余预测偏差(RPD)分别达到了0.989,0.0161和9.4783。对于α-亚麻酸含量的预测,采用Savitzky-Golay平滑法结合标准正态变换(SNV)的光谱预处理所建立的LS-SVM模型最优。α-亚麻酸含量预测结果的R2、RMSEP和RPD为0.972,0.0036和6.0561,据此表明,应用近红外光谱技术能够检测食用油中α-亚麻酸和亚油酸的含量,为快速检测食用油的必需脂肪酸提供了参考。     

Rapid prediction of acid detergent fiber, neutral detergent fiber, and acid detergent lignin of rice materials by near-infrared spectroscopy

A rapid predictive method based on near-infrared spectroscopy (NIRS) was developed to measure acid detergent fiber (ADF), neutral detergent fiber (NDF), and acid detergent lignin (ADL) of rice stem materials. A total of 207 samples were divided into two subsets, one subset (approximately 136 samples) for calibration and cross-validation and the other subset for independent external validation to evaluate the calibration equations. Different mathematical treatments were applied to obtain the best calibration and validation results. The highest coefficient of determination for calibration (R2) and coefficient of determination for cross-validation (1-VR) were 0.968 and 0.949 for ADF, 0.846 and 0.812 for NDF, and 0.897 and 0.843 for ADL, respectively. Independent external validation still gave a high coefficient of determination for external validation (r2) and a low standard error of performance (SEP) for the three parameters; the best validation results were SEP = 0.933 and r2 = 0.959 for ADF, SEP = 2.228 and r2 = 0.775 for NDF, and SEP = 0.616 and r2 = 0.847 for ADL, indicating that NIR gave a sufficiently accurate prediction of ADF and ADL content of rice material but a less satisfactory prediction for NDF. This study suggested that routine screening for these forage quality parameters with large numbers of samples is possible with NIRS in early-generation selection in rice-breeding programs.     

Effect of Nitrogen Fertilizer Rate and Harvest Season on Forage Yield,Quality, and Macronutrient Concentrations in Midland Bermuda Grass

Bermuda grass [Cynodon dactylon (L.) Pers.] is a major forage for grazing and hay production in the southern United States. The objectives of this study were to determine effects of nitrogen (N) fertilization rate (0, 112, 224, 336, and 448 kg ha^?1), split spring and summer applications of N at the 224 and 448 kg ha^?1 rates, and harvest periods (spring and summer) on forage yield, crude protein (CP), acid detergent fiber (ADF), neutral detergent fiber (NDF), total digestible nutrients (TDN), and concentrations of phosphorus (P), potassium (K), magnesium (Mg), and calcium (Ca in Midland Bermuda grass. Data were collected from 2002 to 2008 as part of an ongoing, long-term soil fertility experiment in southern Oklahoma. Repeated measures analysis of these long-term data showed that forage yield responses to N rate varied with year and harvest time with up to 2.5-fold yield differences among years. Nitrogen fertilization increased CP, TDN, and macronutrient P and Mg and decreased ADF and NDF. Crude protein was increased by ≥50%, and ADF and NDF dropped by up to 25% with the greatest N rate. In general, split N applications did not affect forage yield but produced low-quality forage compared to single N application in spring. Split application of 448 kg N ha^?1 gave forage with CP, TDN, ADF, and NDF similar to the Bermuda grass receiving 336 or 448 kg N ha^?1 as a single application. Spring forage had better forage quality than summer harvests. While N fertilization increased forage Mg and P concentrations by more than 50% during both spring and summer, it had no effect or slight increased K and Ca concentrations. In the southern Great Plains, despite the weather-dependent variability in forage yield of Bermuda grass, N application increase forage quality.     

EFFECT OF NITROGEN SOURCES AND RATES ON YIELD AND QUALITY OF SILAGE CORN

The objective of this study was to determine the effect of nitrogen (N) application source and rate on silage corn (Zea mays L.). Urea, ammonium nitrate, and ammonium sulfate were compared at 50, 100, 150, and 200 kg N ha^?1. The application of ammonium sulfate produced the highest plant height, leaf area index (LAI), total yield, and stem, leaf, and ear dry matter, followed by ammonium nitrate and urea. However, nitrogen sources had no marked effects on the content of protein, ash, oil, soluble carbohydrates, acid detergent fiber (ADF) and neutral detergent fiber (NDF). As the rate of nitrogen increased plant height, LAI, total yield, and stem, leaf, tassel, and ear dry matters, and protein, ash and oil contents increased while soluble carbohydrates, ADF, and NDF contents decreased. Ammonium sulfate was the most effective N source on production and 200 kg N ha^?1 was the most effective N rate on corn yield and quality.     

Winter annual small grain forage potential. II. Quantification of nutritive characteristics of four small grain species at six growth stages

Abstract

Four small grain species, barley, oat, rye, and wheat were harvested at six growth stages to investigate their nutritive quality as a possible replacement for corn silage. Crude protein (CP), in vitro dry matter disappearance (IVDMD), neutral detergent fiber (NDF), acid detergent fiber (ADF) and lignin contents were measured on fresh and ensiled samples. The IVDMD, an estimate of forage ruminant digestibility, of all species generally decreased from the vegetative (765–854 g kg^‐1) through the milk stage (505–662 g kg^‐1) and then remained unchanged or increased slightly through hard dough with the exception of oats which often decreased during later stages of growth. The IVDMD of rye was usually lower than the other species from the milk to hard dough stage. The IVDMD of barley was generally higher than the other species at the soft and hard dough stages. The NDF, ADF, and lignin fractions usually increased from the vegetative to milk stages and remained unchanged or increased slightly through the hard dough stage. The ADF and lignin are negatively associated with forage digestibility while NDF values are negatively related to dry matter intake. The ADF of rye was generally higher than the other species at the milk and soft dough stages. Rye and barley contained more lignin than the other species from the heading through hard dough stage. Crude protein content generally decreased from the vegetative through milk stages and then leveled off or decreased slightly through the hard dough stage. Crude protein of oats was lower than other species at the vegetative stage, while rye generally contained more crude protein than the other species at the vegetative and boot stages. These data in combination with forage yield data reported in an associated paper suggest that small grains can offer a nutritious source of animal feed for farmers in the southeastern United States. Rye tended to stand out among the species at the early stages of growth (vegetative to boot) as a highly digestible green chop or grazing crop that is also high in protein. Barley and wheat stand out as excellent high yielding, nutritious silage choices at the soft dough stage.     

Whole Forage Barley Crop Quality as Affected by Different Deficit Irrigation and Fertilizing Systems

Effects of organic, biological, and chemical fertilizers along with water-deficit regimes were investigated on forage barley in a field experiment during 2007–2008. Irrigation regimes were nonstressed (NS), moderately stressed (MS), and severely stressed (SS) and fertilizer treatments were no fertilizer (NF), phosphorus and nitrogen biofertilizers (BF), chemical fertilizer (CF), vermicompost (VC), chemical fertilizer + vermicompost (CV), and chemical fertilizer + biofertilizer (CB). Water stress reduced leaf/stem ratio and dry-matter digestibility (DMD), but increased crude protein (CP), acid detergent fiber (ADF), and neutral detergent fiber (NDF). However, the effect of water deficit on DMD, ash, and NDF depended on the fertilizer treatment. In BF and CV, the barley forage had the greatest DMD and least ash and NDF under water-deficit conditions. The integrated fertilizing systems are more reliable than conventional systems to produce high-quality forage barley in arid environments with late water stress or water deficit irrigation system.     

复合菌剂对青贮玉米营养成分及其饲喂滩羊效果的研究

筛选复配适合宁夏地区的青贮微生物菌剂,可解决在青贮自然发酵过程中,青贮玉米营养损失多且易发霉等问题。本研究对从宁夏中部干旱区自然发酵的青贮玉米饲料中分离鉴定的1株乳酸菌(Lactobacillus acidophilus)和1株酵母菌(Saccharomyces cerevisiae)进行性能测定,复配后形成复合菌剂并进行45 d的大型窖贮青贮发酵试验,设置不添加菌剂和添加商业菌剂的青贮饲料为对照组。营养成分测定结果显示,与不加菌剂和添加商业菌剂的对照组相比,经复合菌剂处理后饲料中性洗涤纤维和酸性洗涤纤维显著下降(P0.05),干物质和粗脂肪含量显著增加(P0.05),粗蛋白含量变化不显著。为期75 d的滩羊肥育饲喂和5 d的消化代谢试验表明,对照组与试验组滩羊的日均采食量差异显著(P0.05),平均日增重、末重、料重比差异不显著。试验组滩羊对青贮玉米饲料中粗蛋白、粗脂肪表观消化率显著提高(P0.05),中性洗涤纤维表观消化率提高,对酸性洗涤纤维的表观消化率影响不显著。结果表明,复合菌剂显著改善了青贮玉米饲料的品质,复合菌剂发酵的饲料玉米对滩羊生长有良好的促进作用。     

不同玉米品种的产量和营养价值评价

为了筛选出适宜当地种植的粮饲通用型玉米品种，推进临洮县玉米生产向粮改饲方向调整。以先玉335为对照，对12个玉米品种的生物产量、籽粒产量和营养品质进行比较。结果表明，陇单703、5291生物产量和籽粒产量均较高，干物质产量分别为20.04、17.70 t/hm2，鲜草产量分别为60.16、59.64 t/hm2，籽粒产量分别为16.08、17.74 t/hm2；青贮营养品质也较优，粗蛋白含量分别为99.4、85.9 g/kg，中性洗涤纤维含量分别为408.3、430.5 g/kg，酸性洗涤纤维含量分别为238.8、247.0 g/kg，淀粉含量分别为353.0、359.1 g/kg，均达到国际一级品种要求。以上2个品种可作为粮饲通用型玉米品种在临洮县推广种植。     

Forage Nutritional Quality Evaluation of Bahiagrass Selections during Autumn in Florida

Bahiagrass (Paspalum notatum Flugge) is the major pasture forage in the southern Gulf Coast, USA. A bahiagrass selection breeding program has been ongoing since 1960 at the Coastal Plain Experiment Station at Tifton, Georgia, USA, to increase forage yield in Pensacola (P. notatum var. sanese) bahiagrass. However, the impact of selecting for forage yield on forage nutritional quality is unknown. Forage quality was evaluated on four Pensacola derived selection cycles (C) of bahiagrass [C0 (Pensacola), C4, C9 (Tifton 9), and C23]. A total of 175 plants per cycle were grown. Forage from individual 1-year-old plants was harvested by hand on 3 October and again on 15 November 2000. The samples were dried, ground, and analyzed using internally calibrated near-infrared reflectance spectroscopy (NIRS) for dry matter (DM), in vitro–digestible organic matter (IVDOM), neutral detergent fiber (NDF), and crude protein (CP). Cycle means (g kg^–1 DM basis combined over both harvest dates) for IVDOM, NDF, and CP were 497, 810, and 142; 503, 797, and 137; 528, 787, and 132; and 520, 785, and 129 for C0, C4, C9, and C23, respectively. The average IVDOM of C4 was greater than for C0 (P = 0.03) and that for C9 was greater than for C4 (P < 0.001). Results indicated that forage quality also increased with advancing selection cycles for increasing yield.     

Chia (Salvia hispanica) Fodder Yield and Quality as Affected by Sowing Rates and Organic Fertilization

This study was conducted to evaluate the effect of sowing rates and organic fertilization on growth and yield biomass quality of chia crop. The agronomic performance and nutritive value of chia were analyzed in order to define alternatives to local forages for dry-season feeding of ruminants in the Mediterranean region. Two sowing rates were arranged in the main plots and three levels of organic fertilization in the subplot with three replicates in split-plot design. Chia growth was not affected by sowing rates and fertilization. Concerning the dry weight and leaf area index (LAI), there were no significant differences among fertilization treatments while sowing rates influenced both dry and LAI, which were significantly increased as sowing rates increased. Forage quality traits were not significantly influenced by sowing rates. With regard to crude protein content, fertilization treatments had a positive effect. The greatest values were observed under manure treatment. Moreover, significant increases were revealed in the crude protein yield as sowing rates increased. In addition, acid detergent fiber (ADF) as well as neutral detergent fiber (NDF) were not affected by sowing rates but there were significant differences between fertilization treatments. Data suggest that chia could be successfully used as an alternative forage crop.