Comparing Spatial Sampling Designs for Estimating Effectively Maize Crop Traits in Experimental Plots-Reference-Cited by-同舟云学术

Comparing Spatial Sampling Designs for Estimating Effectively Maize Crop Traits in Experimental Plots

Published:2024-01-26 Issue:2 Volume:14 Page:280
ISSN:2073-4395
Container-title:Agronomy
language:en
Short-container-title:Agronomy

Author:

Koutsos Thomas M.¹^ORCID,Menexes Georgios C.¹^ORCID

Affiliation:

1. School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

Abstract

The current study investigates the performance of various sampling designs in providing accurate estimates for crucial maize yield traits (intended for silage) including plant height, fresh/dry/ear weight, number of maize ears per plant, and total ear weight per plant, using spatial maize data. The experiment took place in an experimental field area at Aristotle University (AUTH) farm during the 2016 growing season. Nine sampling designs were statistically analyzed and compared with spatial data from an Italian maize hybrid (AGN720) to identify the most suitable and effective sampling design for dependable maize yield estimates. The study’s results indicate that, among the different sampling techniques, Stratified Random Sampling is the most effective and reliable method for obtaining accurate maize yield estimates. This new approach not only provides precise estimates but also requires fewer measurements, making it suitable for experiments where not all plants have emerged. These findings suggest that Stratified Random Sampling can be employed effectively as an alternative to harvesting the entire plot for effectively estimating maize crop traits in experimental plots.

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Link

https://www.mdpi.com/2073-4395/14/2/280/pdf

Reference35 articles.

1. Steel, R., and Torrie, J. (1986). Principles and Procedures of Statistics: A Biometrical Approach, McGraw-Hill Book Company.

2. Steel, R.G.D., Torrie, J.H., and Dickey, D.A. (1997). Principles and Procedures of Statistics: A Biometrical Approach, McGraw-Hill Book Company. [3rd ed.].

3. Gomez, K., and Gomez, A. (1984). Statistical Procedures for Agricultural Research, John Willey & Sons, Inc.

4. Agis-Savvas, D. (2009). Elements of Experimental Statistics, Gartaganis. (In Greek).

5. Romani, M., Borghi, B., Alberici, R., Delogu, G., Hesselbach, J., and Salamini, E. (1993). Intergenotypic Competition and Border Effect in Bread Wheat and Barley, Springer.