Please wait a minute...
Journal of Integrative Agriculture  2018, Vol. 17 Issue (12): 2836-2839    DOI: 10.1016/S2095-3119(18)62085-4
Short Communication Advanced Online Publication | Current Issue | Archive | Adv Search |
Soil tillage methods by years interaction for dry matter of plant yield of maize (Zea mays L.) using additive main effects and multiplicative interaction model
Jan Bocianowski1, Piotr Szulc2, Kamila Nowosad3
1 Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, Poznań 60-637, Poland
2 Poznań University of Life Sciences, Department of Agronomy, Doj azd 11, Poznań 60-632, Poland
3 Wroc?aw University of Environmental and Life Sciences, Department of Genetics, Plant Breeding and Seed Production, Grunwaldzki 24A, Wroc?aw 53-363, Poland
Download:  PDF (873KB) ( )  
Export:  BibTeX | EndNote (RIS)      
Abstract  
The objective of this study was to assess soil tillage methods by years interaction for dry matter of plant yield of maize (Zea mays L.) grown in West Poland by the additive main effects and multiplicative interaction model.  The study comprised four soil tillage methods, analysed in 12 years through field trials arranged in a randomized complete block design, with four replicates.  Dry matter of plant yield of the tested soil tillage methods varied from 86.7 dt ha–1 (for no-plough tillage in 2005) to 246.4 dt ha–1 (for complete conventional tillage in 2012), with an average of 146.6 dt ha–1.  In the variance analysis, 49.07% of the total dry matter of plant yield variation was explained by years, 12.69% by differences between soil tillage methods, and 10.53% by soil tillage methods by years interaction.  Dry matter of plant yield is highly influenced by soil tillage methods by years factors.
 
Keywords:  AMMI model        biplot        Zea mays L.        dry matter of plant yield        stability  
Received: 08 May 2018   Accepted:
Corresponding Authors:  Correspondence Jan Bocianowski, E-mail: jan.bocianowski@up.poznan.pl   

Cite this article: 

Jan Bocianowski, Piotr Szulc, Kamila Nowosad. 2018. Soil tillage methods by years interaction for dry matter of plant yield of maize (Zea mays L.) using additive main effects and multiplicative interaction model. Journal of Integrative Agriculture, 17(12): 2836-2839.

Bojarszczuk J, Ksi???k J, Ga??zka A. 2017. Soil respiration depending on different agricultural practices before maize sowing. Plant, Soil and Environment, 63, 435–441.
Cornelius P L. 1993. Statistical tests and retention of terms in the additive main effects and multiplicative interaction model for cultivar trials. Crop Science, 33, 1186–1193.
Czy? E A. 2004. Effects of traffic on soil aeration, bulk density and growth of spring barley. Soil & Tillage Research, 79, 153–166.
Fischer R A, Edmeades G O. 2010. Breeding and cereal yield progress. Crop Science, 50, 85–98.
Gauch H G. 1988. Model selection and validation for yield trials with interaction. Biometrics, 44, 705–715.
Gauch H G, Zobel R W. 1990. Imputing missing yield trial data. Theoretical and Applied Genetics, 79, 753–761.
Giller K E, Witter E, Corbeels M, Tittonell P. 2009. Conservation agriculture and smallholder farming in Africa: The heretics’ view. Field Crops Research, 114, 23–34.
Griffith D R, Kladivko E J, Mannering J V. 1988. Long-term tillage and rotation effects on corn growth and yield on high and low organic matter, poorly drained soil. Agronomy Journal, 80, 599–605.
Kitonyo O M, Sadras V O, Zhou Y, Denton M D. 2018. Nitrogen fertilization modifies maize yield response to tillage and stubble in a sub-humid tropical environment. Field Crops Research, 223, 113–124.
Mandel J. 1961. Non-additivity in two-way analysis of variance. Journal of the American Statistical Association, 56, 878–888.
Nowosad K, Liersch A, Pop?awska W, Bocianowski J. 2016. Genotype by environment interaction for seed yield in rapeseed (Brassica napus L.) using additive main effects and multiplicative interaction model. Euphytica, 208, 187–194.
Nowosad K, Liersch A, Poplawska W, Bocianowski J. 2017. Genotype by environment interaction for oil content in winter oilseed rape (Brassica napus L.) using additive main effects and multiplicative interaction model. Indian Journal of Genetics and Plant Breeding, 77, 293–297.
Pierce F J, Fortin M C, Statom M J. 1994. Periodic plowing effects on soil properties in a no-tillage farming system. Soil Science Society of America Journal, 58, 1782–1787.
Thierfelder C, Chisui J L, Gama M, Cheesman S, Jere Z D, Bunderson W T, Eash N S, Rusinamhodzi L. 2013. Maize-based conservation agriculture systems in Malawi: Long-term trends in productivity. Field Crops Research, 142, 47–57.
Verhulst N, Govaerts B, Nelissen V, Sayre K D, Crossa J, Raes D, Deckers J. 2011. The effect tillage, crop rotation and residue management on maize and wheat growth and development evaluated with an optical sensor. Field Crops Research, 120, 58–67.
Zobel R W, Wright M J, Gauch H G. 1988. Statistical analysis of yield trial. Agronomy Journal, 80, 388–393.
[1] SHU Ben-shui, YU Hai-kuo, DAI Jing-hua, XIE Zi-ge, QIAN Wan-qiang, LIN Jin-tian. Stability evaluation of reference genes for real-time quantitative PCR normalization in Spodoptera frugiperda (Lepidoptera: Noctuidae)[J]. >Journal of Integrative Agriculture, 2021, 20(9): 2471-2482.
[2] Alefsi David SáNCHEZ-REINOSO, Gustavo Adolfo LIGARRETO-MORENO, Hermann RESTREPO-DíAZ. Evaluation of drought indices to identify tolerant genotypes in common bean bush (Phaseolus vulgaris L.)[J]. >Journal of Integrative Agriculture, 2020, 19(1): 99-107.
No Suggested Reading articles found!