DETERMINATION OF CLIMATICALLY SUITABLE AREAS FOR SOYBEAN (Glycine max (L.) MERR.) PRODUCTION IN MANITOBA

1985 ◽  
Vol 65 (3) ◽  
pp. 511-522 ◽  
Author(s):  
R. B. BURNETT ◽  
G. W. FALK ◽  
C. F. SHAYKEWICH
Keyword(s):  
Glycine Max ◽  
Root Mean Square Error ◽  
Time Scale ◽  
Small Area ◽  
Daily Maximum ◽  
Mean Square ◽  
Weather Station ◽  
Stage Of Development ◽  
Glycine Max L

The effects of daily maximum and minimum temperature and photoperiod on the phenological development of soybean cultivars Maple Presto and McCall were studied under field conditions over the period 1979–1982. Experimental sites were located throughout the agricultural area of Manitoba. Data collected were used to derive a biometeorological time scale for each cultivar. For this purpose, the growth of the crop was divided into four stages: planting to emergence, emergence to flowering, flowering to beginning pod fill, and beginning pod fill to maturity. When the biometeorological time scale developed from the first 3 yr of the study was used to predict the duration of each stage of development during the fourth year, the largest root mean square error of estimation was 4.0 days. A biometeorological time scale developed from all 4 yr of data was applied to historical weather station data in order to determine the probability of maturing soybeans in Manitoba. According to the analyses, only a small area in central Manitoba south of 50° N latitude is capable of maturing the cultivar McCall 90% of the time. Most of the agricultural region can expect to mature the cultivar Maple Presto 90% of the time.Key words: Soybeans, climatically suitable areas

scholarly journals Rapid determination of tannin in Danshen and Guanxinning injections using UV spectrophotometry for quality control

2018 ◽  
Vol 11 (06) ◽  
pp. 1850034
Author(s):  
Hongxia Huang ◽  
Yuanyuan Lv ◽  
Xiaoyi Sun ◽  
Shuangshuang Fu ◽  
Xuefang Lou ◽  
...  
Keyword(s):  
Quality Control ◽  
Chinese Medicine ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Uv Spectroscopy ◽  
Uv Spectrophotometry ◽  
Mean Square ◽  
Tannin Content

A technique for the determination of tannin content in traditional Chinese medicine injections (TCMI) was developed based on ultraviolet (UV) spectroscopy. Chemometrics were used to construct a mathematical model of absorption spectrum and tannin reference content of Danshen and Guanxinning injections, and the model was verified and applied. The results showed that the established UV-based spectral partial least squares regression (PLS) tannin content model performed well with a correlation coefficient ([Formula: see text]) of 0.952, root mean square error of calibration (RMSEC) of 0.476[Formula: see text][Formula: see text]g/ml, root mean square error of validation (RMSEV) of 1.171[Formula: see text][Formula: see text]g/ml, and root mean square error of prediction (RMSEP) of 0.465[Formula: see text][Formula: see text]g/ml. Pattern recognition models using linear discriminant analysis (LDA) and [Formula: see text] nearest neighbor ([Formula: see text]-NN) classifiers based on UV spectrum could successfully classify different types of injections and different manufacturers. The established method to measure tannin content based on UV spectroscopy is simple, rapid and reliable and provides technical support for quality control of tannin in Chinese medicine injections.

scholarly journals BISAKAH MEMPEROLEH STATISTIK INDEKS HARGA KONSUMEN TINGKAT PROVINSI DI INDONESIA DENGAN KETELITIAN YANG LEBIH BAIK?

2020 ◽  
Vol 2019 (1) ◽  
pp. 297-306
Author(s):  
Andi Okta Fengki ◽  
Khairil Anwar Notodiputro ◽  
Kusman Sadik
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Small Area ◽  
Price Index ◽  
Small Area Estimation ◽  
Consumer Price Index ◽  
Mean Square ◽  
Area Estimation ◽  
Relative Root

Statistik indeks harga konsumen (IHK) atau consumer price index (CPI) juga dibutuhkan pada tingkat provinsi di era desentralisasi saat ini. Ketika IHK ingin diduga pada tingkat provinsi, permasalahan ukuran contoh kecil (small area) muncul karena survei untuk menghasilkan IHK ini di Indonesia dirancang untuk tingkat nasional. Akan tetapi, informasi dari statistik IHK 82 kota dapat membantu untuk menduga IHK provinsi. Metode pendugaan area kecil atau small area estimation (SAE) dapat diterapkan sebagai solusi untuk meningkatkan ketelitian hasil pendugaan langsung. Pada penelitian ini IHK provinsi diduga menggunakan model Fay-Herriot (FH). Hasilnya menunjukan bahwa model FH dapat menghasilkan statistik IHK provinsi dengan ketelitian yang lebih baik dari pendugaan langsung. Hal ini ditunjukan dengan nilai average relative root mean square error (ARRMSE) penduga FH IHK provinsi yang lebih kecil dari penduga langsungnya.

scholarly journals Rapid Determination of Aesculin, Aesculetin and Fraxetin inCortex FraxiniExtract Solutions Based on Ultraviolet Spectroscopy

2011 ◽  
Vol 8 (s1) ◽  
pp. S225-S236 ◽  
Author(s):  
Ming Yang ◽  
Jia-Lei Chen ◽  
Xiu-Feng Shi ◽  
Hui-Jue Niu
Keyword(s):  
Root Mean Square Error ◽  
Reference Data ◽  
Rapid Determination ◽  
Ultraviolet Spectroscopy ◽  
Mean Square ◽  
Chemical Parameters ◽  
Ultraviolet Spectra ◽  
Calibration Models ◽  
The Relationship

To evaluate the application of ultraviolet spectroscopy for the rapid determination of aesculin, aesculetin and fraxetin inCortex fraxiniextract solutions, ultraviolet spectra ofCortex fraxiniextract solutions from different batches were collected in the spectral range from 200 nm to 400 nm. The relationship between ultraviolet spectra and chemical parameters displayed some non-linear characteristics. Thus, K-OPLS was proposed to establish the calibration models for the determination ofCortex fraxiniextract solutions between the reference data and ultraviolet spectra. The calibration results were achieved for the determination ofCortex fraxiniextract solutions. The coefficients of determination in calibration (R2) for aesculin, aesculetin and fraxetin were 0.989, 0.957 and 0.939, while in prediction (R2) were 0.982, 0.979 and 0.962, respectively. And the root-mean-square error of prediction (RMSEP) for aesculin, aesculet and fraxetin were 11.99, 3.02 and 1.59 μg/mL. The results demonstrated that ultraviolet spectroscopy could be used for the rapid determination of these three components inCortex fraxiniextract solutions.

Isolation and Determination of Anthocyanins in Seed Coats of Black Soybean (Glycine max(L.) Merr.)

2001 ◽  
Vol 49 (12) ◽  
pp. 5848-5851 ◽  
Author(s):  
Myoung-Gun Choung ◽  
In-Youl Baek ◽  
Sung-Taeg Kang ◽  
Won-Young Han ◽  
Doo-Chull Shin ◽  
...  
Keyword(s):  
Glycine Max ◽  
Black Soybean ◽  
Glycine Max L ◽  
Seed Coats

Waveband Selection for NIR Spectroscopic Analysis of Zn2+ in Soil

2013 ◽  
Vol 365-366 ◽  
pp. 737-740
Author(s):  
Li Jun Yao ◽  
Jie Mei Chen ◽  
Tao Pan
Keyword(s):  
Root Mean Square Error ◽  
Near Infrared ◽  
Spectroscopic Analysis ◽  
Correlation Coefficients ◽  
Nir Spectroscopy ◽  
Optimal Number ◽  
Moving Window ◽  
Mean Square ◽  
Selection For

Near-infrared (NIR) spectroscopy combined with moving window partial least squares (MWPLS) method was successfully applied to the waveband selection for the rapid chemical-free determination of Zn2+ in soil. Based on randomness and similarity, an effective approach was performed to obtain objective and practical models. The optimal MWPLS waveband was 1136-1252 nm, and the corresponding optimal number of PLS factors was 6. The validation root mean square error (V-SEP) and validation correlation coefficients (V-RP) of prediction were 15.658 mg kg-1 and 0.925, respectively. The Zn2+ prediction values of the validation samples are close to the measured values. The results provided a reliable NIR model and can serve as valuable references for designing the dedicated spectroscopic instruments.

Determination of Loganin in Qiju Dihuang Pills by Near-Infrared Spectroscopy Technique

2013 ◽  
Vol 807-809 ◽  
pp. 1978-1983 ◽  
Author(s):  
Cai Xia Xie ◽  
Hai Yan Gong ◽  
Jian Ying Liu ◽  
Jing Wei Lei ◽  
Xiao Yan Duan ◽  
...  
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Partial Least Square ◽  
Calibration Model ◽  
Mean Square

To establish a rapid analytical method for Loganin in Qiju Dihuang Pills (condensed) by Near-infrared Diffuse Reflectance Technique. Collecting NIR spectra by NIR Diffuse Reflectance Spectroscopy, the partial least square calibration model was built. The correlation coefficients (R2) and the root-mean-square error of cross-validation (RMSECV) were 0.99764 and 0.09340, respectively. In the external validation,coefficients of determination (r2) between NIRS and HPLC values was 0.97348,the root-mean-square error of prediction (RMSEP) was 0.08491. The results showed that the method was rapid, accurate, and could be applied to the fast determination of Loganin in Qiju Dihuang Pills (condensed).

Comparison of Calibrations Modeling for Determination of Protein of Mushroom Base on Middle Infrared Spectroscopy

2011 ◽  
Vol 460-461 ◽  
pp. 357-362 ◽  
Author(s):  
Peng Cheng Nie ◽  
Yan Yang ◽  
Yong He
Keyword(s):  
Infrared Spectroscopy ◽  
Root Mean Square Error ◽  
Latent Variables ◽  
Nonlinear Modeling ◽  
Mean Square ◽  
Linear Modeling ◽  
Fast Determination ◽  
Validation Set ◽  
Middle Infrared

Middle infrared spectroscopy combined with chemometrics was investigated for the fast determination of protein of mushroom. 140 samples (35 for each variety) were selected randomly for the calibration set, whereas, 40 samples for the validation set. After some spectrum preprocessing, linear modeling method (PLS) and nonlinear modeling LS-SVM were constructed. Different latent variables were used as inputs of LS-SVM. The optimal models were obtained with 8 LVs based on LS-SVM. The correlation coefficient,,root mean square error of prediction for the best prediction by LV-LS-SVM were 0.9275, 0.25961. The result indicated that middle infrared spectroscopy combined with LV-LS-SVM could be applied as a high precision and fast way for determination protein of mushroom.

scholarly journals RESPOSTA DA PRODUÇÃO DE SOJA À VARIABILIDADE ESPACIAL SOB PIVÔ CENTRAL

Irriga ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 19
Author(s):  
MARIO SANTOS NUNES ◽  
ADROALDO DIAS ROBAINA ◽  
MARCIA XAVIER PEITER ◽  
FABIANO DE VARGAS ARIGONY BRAGA ◽  
TONISMAR DOS SANTOS PEREIRA ◽  
...  
Keyword(s):  
Glycine Max ◽  
Growth Parameters ◽  
Irrigation Schedule ◽  
Irrigation Management ◽  
Average Production ◽  
Center Pivot ◽  
Glycine Max L ◽  
Santa Maria ◽  
E Mail

RESPOSTA DA PRODUÇÃO DE SOJA À VARIABILIDADE ESPACIAL SOB PIVÔ CENTRAL  MARIO SANTOS NUNES1; ADROALDO DIAS ROBAINA2; MARCIA XAVIER PEITER3; FABIANO DE VARGAS ARIGONY BRAGA4; TONISMAR DOS SANTOS PEREIRA5 E TAISE CRISTINE BUSKE6 1 Doutor em Engenharia Agrícola, Prof. da URI, Erechim, RS. E-mail: [email protected] Doutor, Prof. Titular do Departamento de Engenharia Rural, UFSM, Santa Maria, RS.3 Doutora, Profª. Associada do Departamento de Engenharia Rural, UFSM, Santa Maria, RS.4 Doutor em Engenharia Agrícola, UFSM, Santa Maria, RS.5 Doutorando em Engenharia Agrícola, Prof. da UNIPAMPA, Alegrete, RS.6  Doutoranda em Engenharia Agrícola, Profª. do IFCatarinense – Campus Rio do Sul, SC.  1 RESUMO O objetivo deste trabalho foi de avaliar a influência da variabilidade espacial nos componentes de produção de soja irrigada por um pivô central. O trabalho foi desenvolvido no município de Bossoroca, RS, em uma área experimental de 31,17 ha, subdividida em sete setores de aproximadamente 4,45 ha. Foram coletadas 25 plantas em cada um dos setores, sendo medidos os parâmetros de crescimento e desenvolvimento em períodos quinzenais, seguidos da determinação dos componentes de produção na colheita. O manejo de irrigação baseou-se em turno de rega estipulado pelo instrumento irrigâmetro, com mesma lâmina em todos os setores. Os pontos da área georreferenciada foram visualizados através do software ArcGIS 9.3, gerando mapas de produção. As médias de produção dos diferentes setores foram submetidas à análise de variância e a comparação de médias pelo teste de Tukey a 5% de probabilidade de erro. Concluiu-se que ocorreu variação na produtividade entre os setores, sendo que no setor 03 observou-se maior produção com 6713,25 kg ha-1 e o setor 05 a menor com 5248,05 kg ha-1. Palavras-chave: Glycine max, L.; manejo da água; componentes de produção.  NUNES, M. S.; ROBAINA, A. D.; PEITER, M. X.; BRAGA, F. de V. A.; PEREIRA, T. dos S.; BUSKE, T.C.RESPONSE OF SOYBEAN PRODUCTION TO SPACIAL VARIABILITY UNDER CENTER PIVOT  2 ABSTRACT The aim of this study was to evaluate the influence of spatial variability in yield components of soybean irrigated by a center pivot. The work was developed in Bossoroca city, RS, in an experimental area of 31.17 ha, subdivided into seven sectors of approximately 4.45 ha. In each sectors, 25 plants were collected, being measured growth parameters and developing of plants in fortnightly periods followed by determination of component production at harvest. The irrigation management was carried out with the irrigation schedule stipulated by Irrigameter instrument, with same sheet of water in all sectors. Points georeferenced area were visualized using ArcGIS 9.3 software, where maps production were generated. Average production of different sectors were subjected to analysis of variance and Tukey test at 5% probability. It was concluded that there was variation in production across sectors, where sector 03 had the highest production with 6713.25 kg ha-1 and the sector with the smallest 05 5248.05 kg ha-1. Keywords: Glycine max, L.; water management; production components.

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