Factors determining application of certified seed material in farms
Dariusz R. Mańkowski
d.mankowski@ihar.edu.plPracownia Ekonomiki Nasiennictwa i Hodowli Roślinm Zakład Nasiennictwa i Nasionoznawstwa, Instytut Hodowli i Aklimatyzacji Roślin w Radzikowie (Poland)
https://orcid.org/0000-0002-7499-8016
Tadeusz Oleksiak
Pracownia Ekonomiki Nasiennictwa i Hodowli Roślinm Zakład Nasiennictwa i Nasionoznawstwa, Instytut Hodowli i Aklimatyzacji Roślin w Radzikowie (Poland)
Abstract
The farmers’ decisions on the use of certified seed are influenced by numerous factors, e.g. economical (price of sowing material, farm profit), technological (soil and crop management systems), social (education, knowledge, experience) etc. The mentioned factors are usually correlated (autocorrelation), which disturbs to give a simple answer to what the use of certified seed depends on. An attempt has been done at identification of some technological factors, which are significant for the main crops growers. The analysis based on survey research of the years 1992–2003, which was conducted on 38 500 fields of those farmers, who kept accountancy to meet the needs of Agriculture and Food Economy Institute. The data included: whole farm area, arable area, area under a specified crop, distance of a farm to a place of seed supply, soil acidity, soil quality, organic manuring, NPK fertilization, use of pesticides, rate and time of sowing. The data were subjected to the analysis of logistic regression (PROC LOGISTIC of the SAS® version 9.1) in order to determine the factors relevant for the use of certified seed material. The separate models were suggested for each of the studied crops (winter and spring wheat, spring barley, winter triticale, potato). Selection of variables for each of the models was performed using the AIC (Akaike Information Criterion) and SBC (Schwarz Bayesian Criterion). The use of certified seed was most closely related to the input factors, in particular to the mineral fertilization level and the number of fungicide treatments. The link was stated also with the production scale and total area of a farm.
Keywords:
barley, logistic regression, potatoes, seed material, survey research, triticale, wheatReferences
Agresti A. 2002. Categorical data analysis. 2nd Edition. New Jersey, USA, John Wiley & Sons Inc.
Google Scholar
Akaike H. 1969. Fitting autoregressive models for prediction. Annals of the Institute of Statistical Mathematics, 21: 243 — 247.
Google Scholar
Allison P. D. 1999. Logistic Regression Using the SAS System — Theory and Application. New York, USA, SAS Publishing, SAS Institute Inc., John Wiley & Sons Inc.
Google Scholar
Cody R. P., Smith J. K. 2005. Applied Statistics and the SAS Programming Language. 5th Edition. Upper Saddle River, NJ, USA, Pearson Education Inc.
Google Scholar
Der G., Everitt B. S. 2002. A handbook of statistical analyses using SAS. 2nd Edition. USA, CRC Press LLC.
Google Scholar
Krzymuski J. 1991. Postęp odmianowy w produkcji zbóż w Polsce. Cz. III. Introdukcja z hodowli do produkcji. Biul. IHAR 177: 17 — 24.
Google Scholar
Krzymuski J. 1993. Ekonomiczne aspekty nasiennictwa. Biul. IHAR 188: 187 — 193.
Google Scholar
Krzymuski J. 1998. Postęp biologiczny w rolnictwie. W: Woś A. (red.). Encyklopedia agrobiznesu. Warszawa, Fundacja Innowacja — Wyższa Szkoła Społeczno-Ekonomiczna.
Google Scholar
Oleksiak T. 1998. Wpływ kwalifikowanego materiału siewnego na plonowanie zbóż. Biul. IHAR 208: 3 — 9.
Google Scholar
Oleksiak T. 2000. Pszenżyto w produkcji — wykorzystanie efektów hodowli. Zeszyty Naukowe Akademii Rolniczej w Szczecinie, 206 Agriculturae 82: 199 — 204.
Google Scholar
Oleksiak T. 2004 Rynek nasion. Rynek Środków Produkcji i Usług dla Rolnictwa, Nr 25: 36 — 42.
Google Scholar
Oleksiak T. 2006 Rynek nasion. Rynek Środków Produkcji i Usług dla Rolnictwa, Nr 30: 30 — 36.
Google Scholar
Rawlings J. O., Pantula S. G., Dickey D. A. 2001. Applied regression analysis — a research tool. 2nd Edition. New York, USA, Springer-Verlag Inc.
Google Scholar
SAS Institute Inc. 2004 a. BASE SAS 9.1.3 Procedures guide. Cary, NC, USA, SAS Publishing, SAS Institute Inc.
Google Scholar
SAS Institute Inc. 2004 b. SAS 9.1 Companion for Windows. Cary, NC, USA, SAS Publishing, SAS Institute Inc.
Google Scholar
SAS Institute Inc. 2004 c. SAS/STAT 9.1 User's Guide. Cary, NC, USA, SAS Publishing, SAS Institute Inc.
Google Scholar
Schwarz G. 1978. Estimating the dimension of a model. Annals of Statistics, 6: 461 — 464.
Google Scholar
Skarżyńska A., Sadowska J., Reinstein J. 1996. Koszty jednostkowe i dochodowość produkcji rolniczej w gospodarstwach indywidualnych w 1995 roku. Zagadnienia Ekonomiki Rolnej 4/5: 80 — 123.
Google Scholar
Stokes M. E., Davis C. S. 2000. Categorical Data Analysis Using the SAS System. 2nd Edition. New York, USA, SAS Publishing, SAS Institute Inc., John Wiley & Sons Inc.
Google Scholar
Witek T. (red.) 1981. Waloryzacja rolniczej przestrzeni produkcyjnej Polski według gmin. Puławy, IUNG.
Google Scholar
Authors
Dariusz R. Mańkowskid.mankowski@ihar.edu.pl
Pracownia Ekonomiki Nasiennictwa i Hodowli Roślinm Zakład Nasiennictwa i Nasionoznawstwa, Instytut Hodowli i Aklimatyzacji Roślin w Radzikowie Poland
https://orcid.org/0000-0002-7499-8016
Authors
Tadeusz OleksiakPracownia Ekonomiki Nasiennictwa i Hodowli Roślinm Zakład Nasiennictwa i Nasionoznawstwa, Instytut Hodowli i Aklimatyzacji Roślin w Radzikowie Poland
Statistics
Abstract views: 59PDF downloads: 31
License
Copyright (c) 2007 Dariusz R. Mańkowski, Tadeusz Oleksiak
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Upon submitting the article, the Authors grant the Publisher a non-exclusive and free license to use the article for an indefinite period of time throughout the world in the following fields of use:
- Production and reproduction of copies of the article using a specific technique, including printing and digital technology.
- Placing on the market, lending or renting the original or copies of the article.
- Public performance, exhibition, display, reproduction, broadcasting and re-broadcasting, as well as making the article publicly available in such a way that everyone can access it at a place and time of their choice.
- Including the article in a collective work.
- Uploading an article in electronic form to electronic platforms or otherwise introducing an article in electronic form to the Internet or other network.
- Dissemination of the article in electronic form on the Internet or other network, in collective work as well as independently.
- Making the article available in an electronic version in such a way that everyone can access it at a place and time of their choice, in particular via the Internet.
Authors by sending a request for publication:
- They consent to the publication of the article in the journal,
- They agree to give the publication a DOI (Digital Object Identifier),
- They undertake to comply with the publishing house's code of ethics in accordance with the guidelines of the Committee on Publication Ethics (COPE), (http://ihar.edu.pl/biblioteka_i_wydawnictwa.php),
- They consent to the articles being made available in electronic form under the CC BY-SA 4.0 license, in open access,
- They agree to send article metadata to commercial and non-commercial journal indexing databases.
Most read articles by the same author(s)
- Zbigniew Laudański, Dariusz R. Mańkowski, Małgorzata Flaszka, Exploratory factor analysis in studying the structure of multivariate observations , Bulletin of Plant Breeding and Acclimatization Institute: No. 263 (2012): Regular issue
- Tadeusz Oleksiak, Dagmara Bronisz, Dariusz R. Mańkowski, Marzena Iwańska, Analysis of yielding stability and wide adaptation degree of selected winter triticale (× Triticosecale Witt.) cultivars based on field production data , Bulletin of Plant Breeding and Acclimatization Institute: No. 282 (2017): Regular issue
- Dariusz R. Mańkowski, Michał Kwiatek, Introduction to Issue 300 of the Bulletin of Plant Breeding and Acclimatization Institute , Bulletin of Plant Breeding and Acclimatization Institute: No. 300 (2023): Regular issue
- Janusz Kozdój, Dariusz R. Mańkowski, Sylwia Oleszczuk, Analysis of the potential for yield formation in doubled haploids of spring barley (Hordeum vulgare L.) obtained via androgenesis , Bulletin of Plant Breeding and Acclimatization Institute: No. 256 (2010): Regular issue
- Dariusz R. Mańkowski, Zbigniew Laudański, Monika Janaszek, The application of chosen similarity measures for binary data in multivariate analysis in molecular experiments , Bulletin of Plant Breeding and Acclimatization Institute: No. 262 (2011): Regular issue
- Leszek Domański, Dariusz R. Mańkowski, Bogdan Flis, Henryka Jakuczun, Ewa Zimnoch-Guzowska, The structure of multivariable phenotypic variation in potato progenies derived from tetraploid × diploid crosses , Bulletin of Plant Breeding and Acclimatization Institute: No. 265 (2012): Regular issue
- Tadeusz Oleksiak, Factors determining yield level of winter wheat in commercial production. Part II. Differentiation depending on region and farm size , Bulletin of Plant Breeding and Acclimatization Institute: No. 260/261 (2011): Regular issue
- Dariusz R. Mańkowski, Zbigniew Laudański, Biological progress in breeding, seed technology and production of potato in Poland. Part III. Estimation of potato cultivars yield potential progress in seed production and farm cultivation , Bulletin of Plant Breeding and Acclimatization Institute: No. 253 (2009): Regular issue
- Zygmunt Kaczmarek, Dariusz R. Mańkowski, An introduction to multivariate statistical analyses. Part I. Theoretical background , Bulletin of Plant Breeding and Acclimatization Institute: No. 259 (2011): Regular issue
- Zbigniew Laudański, Dariusz R. Mańkowski, Leszek Sieczko, Attempt to evaluate winter wheat cultivation technology on the basis of survey data from individual farms. Part I. Method of selection of cultivation technology , Bulletin of Plant Breeding and Acclimatization Institute: No. 244 (2007): Regular issue