Application of humus preparations from oxyhumolite in crop production

Gonet, S. S.; Dziamski, Andrzej; Gonet, Elzbieta

doi:10.1016/0160-4120(96)00043-8

Cited by 10 publications

(5 citation statements)

References 9 publications

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“…All coatings increased dry mass accumulation in young seedlings as compared to the uncoated seed when the coat share was >75 % in barley and rye. In these cases, about 60 % of the total mobilized resources went into the roots, and the proportion of roots was >60 % in most cases, which confirms results from earlier works (Gonet et al. 1995, Ayuso et al.…”

Section: Discussionsupporting

confidence: 88%

“…Therefore, seed coats used in this paper were augmented in addition with Biplantol ® , an organic, homoeopathic product supposed to promote root development (Bioplant Naturverfahren GmbH), and humic acid, known to improve water penetration into seeds, promote germination and stimulate root growth (Tan and Nopamornbodi 1979, Tattini et al. 1991, Gonet et al. 1995, Mackowiak et al.…”

Section: Introductionmentioning

confidence: 99%

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Effects of Composition and Share of Seed Coatings on the Mobilization Efficiency of Cereal Seeds During Germination

Gorim

Asch

2011

J Agronomy Crop Science

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Cereal production systems are increasingly threatened by suboptimal water supply or intermittent drought spells early in the planting season. Seed coated with hydrophilic materials or hydro‐absorbers that increase the amount of water available for germination and seedling development is a promising approach to improving stand establishment under changing conditions. Barley, rye and wheat grains with combinations of hydro‐absorber, humic acid and Biplantol® in different shares of the total seed mass were germinated in plates at 25 °C on moist filter paper. Germination rates, resource partitioning and mobilization efficiency were assessed and compared with those of uncoated seeds. Results show a strong influence of coat thickness and composition on the germination rate and the efficiency of mobilization of carbohydrates stored in the endosperm. In general, coating significantly reduced germination rate and total germination as compared to uncoated seeds in all cereals tested. Differences in coating thickness had a distinct effect on germination rate for most combinations of coatings and species. Germination rates increased with increasing coat size. This effect was most pronounced for coatings containing hydro‐absorbers and least pronounced for coatings containing humic acid or Biplantol®. Coating generally increased the amount of carbohydrates partitioned to the roots, and thick coating increased the efficiency of grain reserve mobilization compared with the uncoated seeds. Differences between species and the implications for coating‐related changes in germination metabolism are discussed.

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Effects of Composition and Share of Seed Coatings on the Mobilization Efficiency of Cereal Seeds During Germination

Gorim

Asch

2011

J Agronomy Crop Science

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“…Soil organic matter that plays a key role in governing the metal mobility consists mainly of humic substanceshumic and fulvic acids. Therefore, exogenous humic substances prepared from soil (Halim et al, 2003), compost (Clemente and Bernal, 2006), peat (Evangelou et al, 2004;Clemente and Bernal, 2006) or young brown coal (Gonet et al, 1996) were tested as the soil amendments capable not only to improve the process of plant nutrition (Gonet et al, 1996), but also to affect the fractionation of heavy metals in contaminated soils (Clemente and Bernal, 2006) and subsequently their availability to phytoextraction (Halim et al, 2003;Evangelou et al, 2004). Advantageously, the organic matter can be added to soil in the form of caustobiolitic materials, in particular of peat or brown coal with high contents of humic acids.…”

Section: Introductionmentioning

confidence: 99%

Effects of inorganic and organic amendments on the mobility (leachability) of heavy metals in contaminated soil: A sequential extraction study

et al. 2010

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“…We previously noted that Pattern 7 may describe a transitional state between cancer-associated and healthy epithelial cells. We can obtain the top 15 ranked genes for pattern 7 as follows: To get a cursory look at what some of these genes might be doing, I input a list of all pattern 7 marker genes into goNet 65 , an online tool that can quickly perform GO term annotation on a list of human or mouse genes (they must be entered with a newline between each gene). This is the graph that was produced:…”

Section: Find Markers Of Each Patternmentioning

confidence: 99%

Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R, and GenePattern Notebook implementations of CoGAPS

Johnson

Tsang

Mitchell

et al. 2022

Preprint

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Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. Still, inferring biological processes requires additional post hoc statistics and annotation for interpretation of features learned from software packages developed for NMF implementation. Here, we aim to introduce a suite of computational tools that implement NMF and provide methods for accurate, clear biological interpretation and analysis. A generalized discussion of NMF covering its benefits, limitations, and open questions in the field is followed by three vignettes for the Bayesian NMF algorithm CoGAPS (Coordinated Gene Activity across Pattern Subsets). Each vignette will demonstrate NMF analysis to quantify cell state transitions in public domain single-cell RNA-sequencing (scRNA-seq) data of malignant epithelial cells in 25 pancreatic ductal adenocarcinoma (PDAC) tumors and 11 control samples. The first uses PyCoGAPS, our new Python interface for CoGAPS that we developed to enhance runtime of Bayesian NMF for large datasets. The second vignette steps through the same analysis using our R CoGAPS interface, and the third introduces two new cloud-based, plug-and-play options for running CoGAPS using GenePattern Notebook and Docker. By providing Python support, cloud-based computing options, and relevant example workflows, we facilitate user-friendly interpretation and implementation of NMF for single-cell analyses.

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Application of humus preparations from oxyhumolite in crop production

Cited by 10 publications

References 9 publications

Effects of Composition and Share of Seed Coatings on the Mobilization Efficiency of Cereal Seeds During Germination

Effects of Composition and Share of Seed Coatings on the Mobilization Efficiency of Cereal Seeds During Germination

Effects of inorganic and organic amendments on the mobility (leachability) of heavy metals in contaminated soil: A sequential extraction study

Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R, and GenePattern Notebook implementations of CoGAPS

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