Multidimensional Analysis of Diversity in Genotypes of Winter Oilseed Rape (Brassica napus L.)

Bocianowski, Jan; Liersch, Alina

doi:10.3390/agronomy12030633

Cited by 6 publications

(4 citation statements)

References 44 publications

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“…The AMMI model provides a useful tool in diagnosing TYI patterns and improving the accuracy of response estimates. It enables clustering of genotypes based on similarity of response characteristics and identifying potential trends in environments (Bocianowski et al , 2019b(Bocianowski et al , 2019cFotso et al 2018;Bocianowski and Liersch 2022). The suggested strategy could extract more information from the TYI, thereby aiding researchers in identifying specific treatments with competitive yields across diverse years (Paderewski et al 2016;Podlaski et al 2017;Bocianowski et al 2021b).…”

Section: Discussionmentioning

confidence: 99%

The interaction of different abiotic conditions on the value of the component traits of the technological yield of sugar beet

2022

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The aim of this study was to analyse the effects of different date of insecticidal treatment against Noctuinae caterpillars on the technological yield from sugar beet using the additive main effect and multiplicative interaction (AMMI) model. The AMMI model is one of the most widely used statistical tools in the analysis of multiple-environment trials. The results of the analysis of the dependence of the components of the sugar beet yield, carried out separately in individual years (2011–2018) of the experiment, indicate a significant and directly proportional impact of the root mass on the technological yield of sugar in all years. The average sugar content per years also varied from 16.22% (2014) to 19.68% (2015). Potassium molasses from the base of the tested protective treatments varied from 27.27 to 61.43 mmol kg−1. The average sodium molasses per years also varied from 1.196 mmol kg−1 (2015) to 6.692 mmol kg−1 (2018). α-amine-nitrogen of the tested protective treatments varied from 6.03 (for phenological criterion in 2011) to 37.95 mmol kg−1 (for intervention criterion in 2018). Technological yield of sugar beet tested protective treatments varied from 171.4 (for phenological criterion in 2015) to 360.0 t ha−1 (for soil spraying of plants—in 2012) throughout the 8 years, with an average of 280.47 t ha−1. The use of the AMMI model to estimate the interaction of conducted insecticidal treatments based on environmental conditions showed the additivity of the effects of the applied treatments on the effectiveness of the obtained quality features of the technological yield of sugar beet.

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Section: Discussionmentioning

confidence: 99%

The interaction of different abiotic conditions on the value of the component traits of the technological yield of sugar beet

2022

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“…A canonical variance analysis (CVA) was applied to present a multi-trait assessment of the similarity for the tested groups of compounds in lower dimensions with the least possible loss of information. The Mahalanobis distances 45 were used as a measure of the "multi-trait" similarity of groups of compounds 46 , the significance of which was verified using the critical value D a , the least significant distance 47 . Mahalanobis distances were calculated for all pairs of groups of compounds.…”

Section: Methodsmentioning

confidence: 99%

Biochemistry of microwave controlled Heracleum sosnowskyi (Manden.) roots with an ecotoxicological aspect

Słowiński,

Grygierzec,

Wajs-Bonikowska

et al. 2024

Sci Rep

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Sosnowski hogweed is an invasive weed in eastern-middle Europe that is dangerous to human health and the environment. The efficacy of its control using chemical and mechanical methods is limited. Electromagnetic radiation (microwaves) could be an environmentally friendly alternative for controlling this species. This study aims to: (1) Determine the effect of varying microwave treatment (MWT) durations on the control of S. hogweed using a device emitting microwaves at 2.45 GHz, 32.8 kW/m2; (2) Evaluate the impact of MWT on soil by an ecotoxicological bioassays; (3) Analyze biochemical changes occurring in the roots during the process. A field study was performed to assess the efficacy of S. hogweed control using MWT in times from 2.5 to 15 min. The MWT-treated soil was collected immediately after treatment (AT) and tested using bioassays (Phytotoxkit, Ostracodtoxkit, and Microtox). Fourteen days AT, the MWT hogweed roots were dug out, air-dried, and analyzed for the content and composition of essential oil, sugars, and fatty acids. According to the ecotoxicological biotests, the MWT soils were classified as non-toxic or low-toxic. The regeneration of hogweed was observed only in non-treated plants (control). Hogweed MWT for 2.5–15 min did not regenerate up to 14 days AT. The average weight of roots in hogweed MWT for 15.0 min was ca. two times smaller than the control plants. Those roots contained significantly higher amounts of sugars and saturated fatty acids than the control. We did not find a correlation between S. hogweed root essential oil content and composition and MWT time. The main compounds of essential oil were p‑cymene and myristicin. No highly photosensitizing compounds were identified in the tested root oil. We conclude that MWT of S. hogweed could be an environmentally safe and prospective control method, but more studies are needed.

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“…The normality of the distribution of the observed traits was tested using Shapiro–Wilk’s normality test to check whether the analysis of variance (ANOVA) met the assumption that the ANOVA model residuals followed a normal distribution. The homogeneity of variance was tested using Bartlett’s test [ 46 ]. A one-way analysis of variance (ANOVA) was carried out to determine the main effect of line on the variability of both studied traits.…”

Section: Methodsmentioning

confidence: 99%

The Use of DArTseq Technology to Identify Markers Linked to Genes Responsible for Seed Germination and Seed Vigor in Maize

Nowak¹,

Tomkowiak

Bocianowski

et al. 2022

IJMS

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Seed vigor and seed germination are very important traits, determined by several factors including genetic and physical purity, mechanical damage, and physiological condition, characterized by maintaining a high seed vigor and stable content after storage. The search for molecular markers related to improvement in seed vigor under adverse condition is an important issue in maize breeding currently. Higher sowing quality of seeds is necessary for the development of the agriculture production and better ability to resist all kinds of adversity in the seeds’ storage. Condition is a very important factor affecting the yield of plants, thanks to the construction of their vitality. Identification of molecular markers associated with seed germination and seed vigor may prove to be very important in the selection of high-yielding maize varieties. The aim of this study was to identify and select new markers for maize (SNP and SilicoDArT) linked to genes influencing the seed germination and seed vigor in inbred lines of maize (Zea mays L.). The plant material used for the research was 152 inbred maize lines. The seed germination and seed vigor were analyzed. For identification of SNP and SilicoDArT markers related to the seed germination and seed vigor, the SilicoDarT technique developed by Diversity Arrays Technology was used. The analysis of variance indicated a statistically significant differentiation between genotypes for both observed traits. Positive (r = 0.41) correlation (p < 0.001) between seed germination and seed vigor was observed. As a result of next-generation sequencing, the molecular markers SilicoDArT (53,031) and SNP (28,571) were obtained. Out of 81,602 identified SilicoDArT and SNP markers, 15,409 (1559 SilicoDArT and 13,850 SNP) were selected as a result of association mapping, which showed them to be significantly related to the analyzed traits. The 890 molecular markers were associated with seed vigor, and 1323 with seed germination. Fifty-six markers (47 SilicoDArT and nine SNP) were significant for both traits. Of these 56 markers, the 20 most significant were selected (five of these markers were significant at the level of 0.001 for seed vigor and at the level of 0.05 for seed germination, another five markers were significant at the level of 0.001 for seed germination and at the level of 0.05 for seed vigor, five markers significant at the level of 0.001 only for seed vigor and five significant at the level of 0.001 only for seed germination also selected). These markers were used for physical mapping to determine their location on the genetic map. Finally, it was found that six of these markers (five silicoDArT—2,435,784, 4,772,587, 4,776,334, 2,507,310, 25,981,291, and one SNP—2,386,217) are located inside genes, the action of which may affect both seed germination and seed vigor. These markers can be used to select genotypes with high vigor and good seed germination.

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Multidimensional Analysis of Diversity in Genotypes of Winter Oilseed Rape (Brassica napus L.)

Cited by 6 publications

References 44 publications

The interaction of different abiotic conditions on the value of the component traits of the technological yield of sugar beet

The interaction of different abiotic conditions on the value of the component traits of the technological yield of sugar beet

Biochemistry of microwave controlled Heracleum sosnowskyi (Manden.) roots with an ecotoxicological aspect

The Use of DArTseq Technology to Identify Markers Linked to Genes Responsible for Seed Germination and Seed Vigor in Maize

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