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

Bocianowski, Jan; Szulc, Piotr; Nowosad, Kamila

doi:10.1016/s2095-3119(18)62085-4

Cited by 16 publications

(13 citation statements)

References 27 publications

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“…Additionally, we obtained three groups of treatments, classified by the years of study (Figure 2). Thus this is a reliable method, which may be confirmed by its extensive application by breeders and geneticists (Shamsuddin, 1985;Seidler-Łożykowska et al, 2013;Nowosad et al, 2016;Bocianowski et al, 2018Bocianowski et al, , 2019Wrońska-Pilarek et al, 2018). In our study, the greatest diverse in terms of all the 13 traits jointly (measured Mahalanobis distances) was found for cover crop: zero, method of tillage: aggregate (in 2011) and cover crop: no tillage, method of tillage: plowing (in 2012).…”

Section: Discussionsupporting

confidence: 72%

Analysis of Effects of Cover Crop and Tillage Method Combinations on the Phenotypic Traits of Spring Wheat (Triticum Aestivum L.) Using Multivariate Methods

Bocianowski¹,

Majchrzak²

2019

Appl. Ecol. Env. Res.

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The paper presents the results of multivariate analysis assessing variation in quantitative traits after the application of various cover crops and tillage methods in cultivation of spring wheat in three years of study. The purpose of this study was to assess the multivariate phenotypic variation of spring wheat under 27 different combinations of three cover crops, three tillage methods and three years of study. 13 quantitative traits were monitored through the course of three years (2011)(2012)(2013) in Poland. The result was statistically analyzed using the multivariate methods. Analysis of canonical variables proved to be a reliable tool providing a comprehensive assessment of variation in the effect of cover crop and method of tillage combinations on many traits simultaneously. The most diverse treatments were Z-A-1 (cover crop: zero, method of tillage: aggregate, in 2011) and N-P-2 (cover crop: no tillage, method of tillage: plowing, in 2012). The most similar treatments (in terms of 13 traits assessed) included Z-A-1 (cover crop: zero, method of tillage: aggregate, in 2011) and N-A-1 (cover crop: Nno tillage, method of tillage: aggregate, in 2011).

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Section: Discussionsupporting

confidence: 72%

Analysis of Effects of Cover Crop and Tillage Method Combinations on the Phenotypic Traits of Spring Wheat (Triticum Aestivum L.) Using Multivariate Methods

Bocianowski¹,

Majchrzak²

2019

Appl. Ecol. Env. Res.

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“…This results from the fact that these variables explained a considerable part of the total variation (77.86%, 75.33% and 72.15% for cuts I, II and III, respectively). Thus, this is a reliable method, which may be confirmed by its extensive application by breeders and geneticists [25][26][27][28][29][30].…”

Section: Discussionmentioning

confidence: 75%

Comparison of the Yield and Chemical Composition of Eleven Timothy (Phleum pratense L.) Genotypes under Three Locations in Poland

et al. 2020

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Field trials were conducted in the years 2017–2019 at the Małopolska Plant Breeding in the Plant Breeding Stations in Polanowice, Nieznanice and Palikije. The trials were designed to determine the yield of some timothy genotypes in the context of chemical composition under different habitat conditions. The present evaluation of the strain quality shows a high potential for breeding. The analyzed genotypes produced high dry matter yields, which differed by as much as 53%. The experimental plots also differed in the crude protein content, which varied from 104.5 to 230.1 g kg−1 d.m., depending on the crop and year of harvest. For crude fiber, these values ranged from 173.9 to 274.8 g kg−1 d.m., depending on the crop and harvest year. The analysis of the mineral composition also revealed significant large variation.

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“…Multi-location experiments the AMMI biplot allows to visualize the main genotype effect in different environments (Bocianowski et al 2019a). The AMMI model was used to study many species (Abakemal et al 2016;Edwards 2016;Nowosad et al 2017Nowosad et al , 2018Bocianowski et al 2019d). Indicating GE's interaction and other interactions is possible using the AMMI model.…”

Section: Discussionmentioning

confidence: 99%

“…Indicating GE's interaction and other interactions is possible using the AMMI model. This model ensures an increase in the correctness of estimation (Bocianowski et al 2018(Bocianowski et al , 2019b. The use of AMMI allows the division of genotypes or other factors into groups based on similarity as well as characterization and detection of trends depending on the environment.…”

Section: Discussionmentioning

confidence: 99%

Genotype by environment interaction for seeds yield in pea (Pisum sativum L.) using additive main effects and multiplicative interaction model

2019

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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

Cited by 16 publications

References 27 publications

Analysis of Effects of Cover Crop and Tillage Method Combinations on the Phenotypic Traits of Spring Wheat (Triticum Aestivum L.) Using Multivariate Methods

Analysis of Effects of Cover Crop and Tillage Method Combinations on the Phenotypic Traits of Spring Wheat (Triticum Aestivum L.) Using Multivariate Methods

Comparison of the Yield and Chemical Composition of Eleven Timothy (Phleum pratense L.) Genotypes under Three Locations in Poland

Genotype by environment interaction for seeds yield in pea (Pisum sativum L.) using additive main effects and multiplicative interaction model

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