SU1644755A1 - Method for determination of fusarial infestation of seeds of grain crops - Google Patents
Method for determination of fusarial infestation of seeds of grain crops Download PDFInfo
- Publication number
- SU1644755A1 SU1644755A1 SU894697524A SU4697524A SU1644755A1 SU 1644755 A1 SU1644755 A1 SU 1644755A1 SU 894697524 A SU894697524 A SU 894697524A SU 4697524 A SU4697524 A SU 4697524A SU 1644755 A1 SU1644755 A1 SU 1644755A1
- Authority
- SU
- USSR - Soviet Union
- Prior art keywords
- fusarium
- grain
- damage
- seeds
- degree
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 7
- 206010061217 Infestation Diseases 0.000 title 1
- UHPMCKVQTMMPCG-UHFFFAOYSA-N 5,8-dihydroxy-2-methoxy-6-methyl-7-(2-oxopropyl)naphthalene-1,4-dione Chemical compound CC1=C(CC(C)=O)C(O)=C2C(=O)C(OC)=CC(=O)C2=C1O UHPMCKVQTMMPCG-UHFFFAOYSA-N 0.000 claims abstract description 14
- 241000223218 Fusarium Species 0.000 claims abstract description 14
- 238000004458 analytical method Methods 0.000 claims abstract description 8
- 230000003287 optical effect Effects 0.000 claims abstract description 3
- 230000003902 lesion Effects 0.000 claims 1
- 235000013339 cereals Nutrition 0.000 abstract description 19
- 208000004770 Fusariosis Diseases 0.000 abstract description 2
- 238000004566 IR spectroscopy Methods 0.000 abstract description 2
- 241000209140 Triticum Species 0.000 abstract description 2
- 235000021307 Triticum Nutrition 0.000 abstract description 2
- 206010051919 Fusarium infection Diseases 0.000 abstract 1
- 239000003905 agrochemical Substances 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000009313 farming Methods 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Landscapes
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
Изобретение относитс к сельскому хоз йству и может быть использовано дл определени степени поражени сем н зерновых культур фузариозом. Целью изобретени вл етс повышение производительности труда при анализе сем н зерновых культур на пораженность фузариозом . Цель достигаетс тем, что среднюю пробу зерна озимой пшеницы с влажностью 12-16% помещали в кювету и анализировали на ПК-анализаторе типа Инфратид-61 при длине волны, равной 1488 нм и 1532 нм. С целью повышени точности анализа за результат брали среднее из четырех определений , полученных при повороте кюветы на 90°. Степень поражени зерна фузариозом определ ли по формуле Y К + Ki OnWi Кг , где К, Кч и «2 - константы градуиро- вочного уравнени ; ОП - оптическа плотность; Wi и Л/2 - аналитические длины волн, 1488 и 1532 мм соответственно; Y - степень поражени зерна фузариозом, %, Использование способа инфракрасной спектроскопии дл оценки степени поражени зерна фузариозом снизило затраты времени на проведение одного анализа с 60 до 6 - 8 мин. сл СThe invention relates to agriculture and can be used to determine the extent of damage to the seeds of cereal crops by Fusarium. The aim of the invention is to increase labor productivity in the analysis of seeds of grain crops for Fusarium infection. The goal is achieved by the fact that an average sample of winter wheat grain with a moisture content of 12–16% was placed in a cuvette and analyzed on an Infratid-61 type PC analyzer at a wavelength of 1488 nm and 1532 nm. In order to increase the accuracy of the analysis, the average of four determinations obtained when the cell was rotated by 90 ° C was taken as the result. The degree of damage to the grain by Fusarium was determined by the formula Y K + Ki OnWi Kg, where K, Kch and "2" are the constants of the graduation equation; OP is optical density; Wi and Л / 2 - analytical wavelengths, 1488 and 1532 mm, respectively; Y - degree of damage to the grain by Fusarium,%. Using the method of infrared spectroscopy to assess the degree of damage to the grain by Fusarium reduced the time spent on performing one analysis from 60 to 6 - 8 minutes. sl C
Description
Изобретение относитс к сельскому хоз йству и может быть использовано дл определени степени поражени сем н зерновых культур фузариозом в лаборатори х агрохимической службы, ветеринарной службы, семенной инспекции и семеноводческих хоз йствах.The invention relates to agriculture and can be used to determine the extent to which seeds of cereal crops are damaged by fusarium in laboratories of the agrochemical service, veterinary service, seed inspection and seed farming facilities.
Цель изобретени - повышение производительности труда при анализе зерна.The purpose of the invention is to increase labor productivity in the analysis of grain.
П р„и мер 1. От 5 партий зерна озимой пшеницы весом 100 - 180 т с влажностью 12 - 16% отбирают средние пробы массой не менее 2 кг. Из средней пробы, освобожденной от крупной серной примеси, выдел ют две навески массор по 50,0± 0.1 г. Из навески массой 50,0±0,1 г в услови х хорошей освещенности выдел ют зерна с признаками фу- зариоза. Фузариозные зерна, выделенные из каждой навески,взвешивают на весах сP p „and measures 1. From 5 batches of winter wheat grains weighing 100–180 tons with a humidity of 12–16%, average samples of at least 2 kg are taken. From an average sample, freed from coarse sulfuric impurities, two weights of mass 50.0 ± 0.1 g were isolated from a sample with a mass of 50.0 ± 0.1 g in good light conditions, grains with signs of fusariosis were isolated. Fusarium grains isolated from each sample are weighed on scales with
точностью до 0,01 г. По отношению массы зерна, выделенного с признаками фузарио- за, к навеске рассчитывают процент или степень поражени зерна фузариозом.Accuracy up to 0.01 g. The ratio or the degree of damage to the grain by Fusarium is calculated by the ratio of the mass of grain isolated with signs of fusarium to the weight.
В проанализируемых таким образом пробах зерна степень поражени фузариозом составила соответственно 15.7; 4,9; 21,4; 12,2; 7,6%.In the samples of grain analyzed in this way, the degree of damage by fusarium was 15.7; 4.9; 21.4; 12.2; 7.6%.
Пример 2, Из проб (как по примеру 1) берут зерно, помещают в измерительные кюветы и анализируют на ИК-анализаторе типа Инфрапид-61. При анализе используют аналитические длины волн, равные 1488 и 1523 нм. Дл расчета результатов анализа используют формулуExample 2, From the samples (as in example 1) take the grain, placed in the measuring cell and analyze on the infrared analyzer type Infrapid-61. In the analysis using analytical wavelengths equal to 1488 and 1523 nm. To calculate the analysis results, use the formula
Y К + KvbnWi + KvOnW2. где К, Ki и Kj- константы градуировочного уравнени ;Y K + KvbnWi + KvOnW2. where K, Ki and Kj are the constants of the calibration equation;
ОП - оптическа плотность;OP is optical density;
ОABOUT
Јь Ч СЛЧ h SL
слcl
Wi и W2 - аналитические длины волн (1488 и 1532 нм соответственно);Wi and W2 are analytical wavelengths (1488 and 1532 nm, respectively);
Y - степень поражени зерна фузарио- зом, %.Y is the degree of damage to the grain by Fusarium,%.
По результатам анализа проб зерна степень поражени зерна фузариозом составила соответственно 16,3; о,5; 22,1; 11,6; 6,8%.According to the results of the analysis of grain samples, the degree of damage to the grain by fusarium was 16.3; o, 5; 22.1; 11.6; 6.8%.
Результаты математической обработки данных, подученных известным методом, органолитической оценки и предлагаемым способом ИК-спектроскопии показали их хорошую сходимость. Коэффициент коррел ции 0,99 при стандартной ошибке 0.77. Весь процесс определени степени поражени проб зерна фузариозом на ПК-анализаторе составил 6-8 мин, а по известному методу 60 мин.The results of mathematical processing of data obtained by a known method, organolytic evaluation and the proposed method of IR spectroscopy showed their good convergence. The correlation coefficient is 0.99 with a standard error of 0.77. The whole process of determining the degree of damage to grain samples by fusarium on a PC analyzer was 6-8 minutes, and by a known method 60 minutes.
Claims (1)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SU894697524A SU1644755A1 (en) | 1989-04-04 | 1989-04-04 | Method for determination of fusarial infestation of seeds of grain crops |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SU894697524A SU1644755A1 (en) | 1989-04-04 | 1989-04-04 | Method for determination of fusarial infestation of seeds of grain crops |
Publications (1)
Publication Number | Publication Date |
---|---|
SU1644755A1 true SU1644755A1 (en) | 1991-04-30 |
Family
ID=21450498
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SU894697524A SU1644755A1 (en) | 1989-04-04 | 1989-04-04 | Method for determination of fusarial infestation of seeds of grain crops |
Country Status (1)
Country | Link |
---|---|
SU (1) | SU1644755A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2006119566A1 (en) * | 2005-05-13 | 2006-11-16 | Bri Australia Limited | Assessment of weather damage in cereal grains |
-
1989
- 1989-04-04 SU SU894697524A patent/SU1644755A1/en active
Non-Patent Citations (1)
Title |
---|
Методические указани по учету фуза- риозного зерна пшеницы. М.. 1987. * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2006119566A1 (en) * | 2005-05-13 | 2006-11-16 | Bri Australia Limited | Assessment of weather damage in cereal grains |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Marten et al. | Quality Prediction of Small Grain Forages by Near Infrared Reflectance Spectroscopy 1 | |
Osborne et al. | Collaborative evaluation of universal calibrations for the measurement of protein and moisture in flour by near infrared reflectance | |
US6483583B1 (en) | Near infrared spectrometry for real time analysis of substances | |
US6353471B1 (en) | Method and apparatus for non-destructive screening of specimen integrity | |
Delwiche | Single wheat kernel analysis by near-infrared transmittance: protein content | |
RU2383881C2 (en) | Spectrometric measuring head for harvesting and other agricultural machines | |
Finney et al. | Determination of moisture in corn kernels by near-infrared transmittance measurements | |
CA2093015A1 (en) | A method of calibrating a spectrometer using correlation between calibration sample spectra and measured spectra | |
Grabe | Measurement of seed moisture | |
Cassol et al. | An evaluation of non-destructive methods to estimate total chlorophyll content | |
Nutter Jr et al. | Utilization of a multispectral radiometer to evaluate fungicide efficacy to control late leaf spot in peanut. | |
KR100934410B1 (en) | Grain Seed Weight Measurement Using Near Infrared Spectroscopy | |
US3988591A (en) | Photometric method for the quantitative determination of a material or substance in an analysis substance and photoelectric photometer for the performance of the aforesaid method | |
Osborne | Investigations into the use of near infrared reflectance spectroscopy for the quality assessment of wheat with respect to its potential for bread baking | |
SU1644755A1 (en) | Method for determination of fusarial infestation of seeds of grain crops | |
Hamid et al. | Rapid spectrophotometric analysis of the chemical composition of tobacco | |
Aastveit et al. | Near-infrared reflectance spectroscopy: different strategies for local calibrations in analyses of forage quality | |
Armstrong et al. | Prediction of kernel density of corn using single-kernel near infrared spectroscopy | |
Morimoto et al. | Hand-held NIR spectrometry: Part I: An instrument based upon gap-second derivative theory | |
Berardo et al. | Near infrared calibration of chemical constituents of Cajanus cajan (pigeon pea) used as forage | |
Schmilovitch et al. | Determination of avocado maturity by near-infrared spectrometry | |
Hallett et al. | Predicting elements in white pine and red oak foliage with visible-near infrared reflectance spectroscopy | |
Williams et al. | Determination of methionine in peas by near-infrared reflectance spectroscopy (NIRS) | |
Valdes et al. | Effect of growing year and application of a multi-year calibration for predicting quality parameters by near infrared reflectance spectroscopy in whole-plant corn forage | |
Sverzut et al. | Sugarcane analysis using near infrared spectroscopy |