光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2013年
11期
3010-3013
,共4页
许瑞轩%李东宁%杨东海%林建海%项敏%张英俊
許瑞軒%李東寧%楊東海%林建海%項敏%張英俊
허서헌%리동저%양동해%림건해%항민%장영준
近红外漫反射光谱(NIRS)%新鲜紫花苜蓿%田间快速估测%品质%适时收获
近紅外漫反射光譜(NIRS)%新鮮紫花苜蓿%田間快速估測%品質%適時收穫
근홍외만반사광보(NIRS)%신선자화목숙%전간쾌속고측%품질%괄시수획
Near infraredreflectancespectra (NIRS)%Fresh alfalfa%Rapid evaluation in the field%Quality%Optimum harvest time
田间快速估测苜蓿品质对于适时刈割具有重要意义。试验共采集来自不同地域、不同品种、不同生育期和不同茬次的新鲜紫花苜蓿样170份,经便携式近红外光谱仪(1100~1800 nm )扫描得到近红外光谱,利用偏最小二乘法(PLS)在国内首次建立基于紫花苜蓿新鲜样品的干物质(DM)、粗蛋白(CP)、中性洗涤纤维(NDF)、酸性洗涤纤维(ADF)化学分析值的近红外校正模型,探讨利用近红外漫反射光谱技术(NIRS)在田间快速估测紫花苜蓿品质的可行性,摸索设备选择和制样方法。四项指标所建模型的交互验证决定系数(R2CV )分别为0.8314,0.5979,0.8036和0.7861;交互验证均方根误差(RMSECV)为1.2411,0.2614,0.9903和0.8306;外部验证决定系数(R2V )为0.8150,0.4011,0.7849和0.7521,外部预测均方根误差(RMSEP)分别为1.06,0.31,0.95和0.80。对于苜蓿鲜样来说,DM ,NDF和ADF的近红外模型可以进行粗略的定量分析,CP的建模效果较差,但因苜蓿中的粗蛋白含量一般都能满足家畜需求,DM ,NDF和ADF是在适时刈割中最关键的估测指标,DM ,NDF和 ADF模型可以满足田间快速估测苜蓿品质的要求。
田間快速估測苜蓿品質對于適時刈割具有重要意義。試驗共採集來自不同地域、不同品種、不同生育期和不同茬次的新鮮紫花苜蓿樣170份,經便攜式近紅外光譜儀(1100~1800 nm )掃描得到近紅外光譜,利用偏最小二乘法(PLS)在國內首次建立基于紫花苜蓿新鮮樣品的榦物質(DM)、粗蛋白(CP)、中性洗滌纖維(NDF)、痠性洗滌纖維(ADF)化學分析值的近紅外校正模型,探討利用近紅外漫反射光譜技術(NIRS)在田間快速估測紫花苜蓿品質的可行性,摸索設備選擇和製樣方法。四項指標所建模型的交互驗證決定繫數(R2CV )分彆為0.8314,0.5979,0.8036和0.7861;交互驗證均方根誤差(RMSECV)為1.2411,0.2614,0.9903和0.8306;外部驗證決定繫數(R2V )為0.8150,0.4011,0.7849和0.7521,外部預測均方根誤差(RMSEP)分彆為1.06,0.31,0.95和0.80。對于苜蓿鮮樣來說,DM ,NDF和ADF的近紅外模型可以進行粗略的定量分析,CP的建模效果較差,但因苜蓿中的粗蛋白含量一般都能滿足傢畜需求,DM ,NDF和ADF是在適時刈割中最關鍵的估測指標,DM ,NDF和 ADF模型可以滿足田間快速估測苜蓿品質的要求。
전간쾌속고측목숙품질대우괄시예할구유중요의의。시험공채집래자불동지역、불동품충、불동생육기화불동치차적신선자화목숙양170빈,경편휴식근홍외광보의(1100~1800 nm )소묘득도근홍외광보,이용편최소이승법(PLS)재국내수차건립기우자화목숙신선양품적간물질(DM)、조단백(CP)、중성세조섬유(NDF)、산성세조섬유(ADF)화학분석치적근홍외교정모형,탐토이용근홍외만반사광보기술(NIRS)재전간쾌속고측자화목숙품질적가행성,모색설비선택화제양방법。사항지표소건모형적교호험증결정계수(R2CV )분별위0.8314,0.5979,0.8036화0.7861;교호험증균방근오차(RMSECV)위1.2411,0.2614,0.9903화0.8306;외부험증결정계수(R2V )위0.8150,0.4011,0.7849화0.7521,외부예측균방근오차(RMSEP)분별위1.06,0.31,0.95화0.80。대우목숙선양래설,DM ,NDF화ADF적근홍외모형가이진행조략적정량분석,CP적건모효과교차,단인목숙중적조단백함량일반도능만족가축수구,DM ,NDF화ADF시재괄시예할중최관건적고측지표,DM ,NDF화 ADF모형가이만족전간쾌속고측목숙품질적요구。
To explore the feasibility of using near-infrared reflectance spectroscopy (NIRS) to evaluate alfalfa quality rapidly in the field and try to find the appropriate machine and sample preparation method ,the representative population of 170 fresh alfalfa samples collected from different regions with different stages and different cuts were scanned by a portable NIRS spectrometer (1 100~1 800 nm) .This is the first time to build models of fresh alfalfa to rapidly estimate quality in the field for harvesting in time .The calibrations of dry matter(DM) ,crude protein(CP) ,neutral detergent fiber(NDF) and acid detergent fiber (ADF) were developed through the partial least squares regression (PLS) .The determination coefficients of cross-validation (R2CV ) were 0.831 4 ,0.597 9 ,0.803 6 ,0.786 1 for DM ,CP ,NDF ,ADF ,respectively ;the root mean standard error of cross-validation (RMSECV) were 1.241 1 ,0.261 4 ,0.990 3 ,0.830 6;The determination coefficients of validation (R2V ) were 0.815 0 , 0.401 1 ,0.784 9 ,0.752 1 and the root mean standard errors of validation (RMSEP)were 1.06 ,0.31 ,0.95 ,0.80 for DM ,CP , NDF ,ADF ,respectively .For fresh alfalfa ,the calibration of DM ,NDF ,ADF can do rough quantitative analysis but the CP’s calibration is failed .however ,as CP in alfalfa hay is enough for animal and the DM ,NDF and ADF is the crucial indicator for e-valuating havest time ,the model of DM ,NDF and ADF can be used for evaluating the alfalfa quality rapidly in the field .