Cereal Research Communications
Volume/Issue:
Volume 36: Issue 1
Effect of various crop production factors on the yield and yield stability of maize in a long-term experiment
Authors:
Z. Berzsenyi Agricultural Research Institute of the Hungarian Academy of Sciences P.O. Box 19 H-2462 Martonvásár Hungary

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Q. Dang Agricultural Research Institute of the Hungarian Academy of Sciences P.O. Box 19 H-2462 Martonvásár Hungary

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Pages:
167–176
Online Publication Date:
18 Feb 2008
Publication Date:
01 Mar 2008
Article Category:
Research Article
DOI:
https://doi.org/10.1556/crc.36.2008.1.17
Keywords:
long-term experiment; maize; production factors; stability analysis; AMMI model
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In a long-term experiment set up in Martonvásár (N 47°21′, E 18°49′), Hungary in 1960 on a humous loam soil of the chernozem type, the effect of five crop production factors in increasing maize yields was studied in seven treatments. The factors studied were soil cultivation, fertilisation, plant density, variety and weed control. All the factors had a favourable and an unfavourable level. Yield data recorded over 42 years were evaluated using analysis of variance and stability analysis. The highest yield (8.59 t ha −1 ) was obtained when all the production factors were favourable and lowest (2.09 t ha −1 ) when these factors were unfavourable. When only one factor was unfavourable and all the other factors were favourable the following yields were obtained (t ha −1 ): soil tillage: 8.32, fertilisation: 5.21, genotype: 4.98, plant density: 6.31 weed control: 7.01. The crop production factors contributed to the increase in maize yield in the following ratios (%): fertilisation 30.6, variety 32.6, plant density 20.2, weed control 14.2, soil cultivation 2.4. The highest value of the coefficient of variation (CV%) was obtained when all the production factors were at the unfavourable level (45.7%) and when weed control or fertilisation were unfavourable (36.6% and 34.8%, respectively), while the lowest value was recorded when all the factors were favourable (19.5%). The significant treatment × year interaction could be attributed principally to treatments in which weed control, fertilisation, genotype or all the factors were unfavourable. The regression coefficient of linear regression analysis provided a satisfactory characterisation of the stability of the treatments in different environments, while the distance between the straight lines expressed the yield differences between the treatment pairs. The AMMI (Additive Main Effect and Multiplicative Interaction) model proved to be a valuable approach for understanding agronomic treatment × environment interactions and assessing the mean performance and yield stability of treatments.

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Cover Cereal Research Communications
Cereal Research Communications A Quarterly of the Cereal Research Non-Profit Ltd. Company
Print ISSN:
0133-3720
Online ISSN:
1788-9170

 

 

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Cereal Research Communications
Language English
Size A4
Year of
Foundation		 1973
Volumes
per Year		 1
Issues
per Year		 4
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0133-3720 (Print)
ISSN 1788-9170 (Online)

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