Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Analytical Framework for the Assessment of Crop Production Technology

Janusz Gołaszewski1*, Dariusz Załuski1 and Krystyna Żuk-Gołaszewska2

1Department of Plant Breeding and Seed Production, University of Warmia and Mazury in Olsztyn, Poland

2Department of Agrotechnology, University of Warmia and Mazury in Olsztyn, Poland

*Corresponding Author:
Janusz Gołaszewski
Department of Plant Breeding and Seed Production
University of Warmia and Mazury in Olsztyn
Plac Łódzki 310-724 Olsztyn, Poland
Tel: +48895234805
E-mail: janusz.golaszewski@uwm.edu.pl

Received date: February 01, 2017; Accepted date: February 20, 2017; Published date: February 27, 2017

Citation: Gołaszewski J, Załuski D, Żuk-Gołaszewska K (2017) Analytical Framework for the Assessment of Crop Production Technology. Adv Crop Sci Tech 5:257. doi: 10.4172/2329-8863.1000257

Copyright: © 2017 Gołaszewski J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The objective of the study was to compile a methodical approach for a time-and-cost-efficient test of a crop production technology. The two or three-year procedure consisted of: (i) a survey among farmers on the technological state-of-the-art, (ii) screening the selected agro-technical factors with the use of factorial (FD) and/or fractional factorial design (FFD), (iii) a series of on-farm FD and FFD experiments and estimation of the total and individual contribution of the factors into costs and profitability of production. The test crop for verification of the procedure was pea (Pisum spp.). The approach is illustrated by empirical data obtained from the implementation of the procedure for testing of a green pea production technology in north-eastern Poland. The statistical efficiency and economic profitability of agrotechnical factors in the tested technology were given.

Keywords

Top