PENGARUH LAMA PERENDAMAN GA3 DAN BEBERAPA MACAM TSS TERHADAP PERTUMBUHAN TANAMAN BAWANG MERAH (Allium ascalonicum L.)

[THE EFFECT OF IMMERSION IN GA3 AND SOME KINDS OF TSS ON THE GROWTH OF SHALLOTS (Allium ascalonicum L.)]. Shallots (Allium ascolonicum L.) are very much needed by the community and have become one of the high-value commodities in Indonesia. TSS or True Shallot Seed is an elective that can be created as a wellspring of seeds and is an answer for address the issue for quality shallot seeds. In the utilization of TSS seeds, there are still a few deterrents in low development strength. In the use of TSS seeds, there are still some obstacles in low growth strength. Dormancy can be solved by treatment with growth regulators that can encourage, inhibit or qualitatively alter plant development and advancement. One of the PGRs that is regularly utilized is Gibberellins (GA3). This review meant to get the connection between splashing time with a few TSS seeds on the development of shallots, which included germination, development simultaneously, development speed, germination life, plant length, and the quantity of leaves. This examination was led in Ketindan Town, Lawang Area, Malang Regime, East Java, from February to April 2021. This review was a factorial investigation organized dependent on a Randomized Complete Block Design (RCBD) comprising of 2 factors: the length of inundation and the kind of TSS seeds that were rehashed as much as multiple times. The main variable was the inundation time in a GA3 arrangement with a centralization of 40 ppm comprising of no dousing, 15 minutes, 30 minutes, and 45 minutes of inundation. The seed factor of shallot TSS consists of TSS Sanren, TSS Lokananta, and TSS Bauji. The outcomes showed that the mix of splashing time and TSS seed type fundamentally impacted development speed simultaneously and the quantity of leaves 7 dap.

Microbiomes of commercially-available pine nuts and sesame seeds

Metagenomic analysis of food is becoming more routine and can provide important information pertaining to the shelf life potential and the safety of these products. However, less information is available on the microbiomes associated with low water activity foods. Pine nuts and sesame seeds, and food products which contain these ingredients, have been associated with recalls due to contamination with bacterial foodborne pathogens. The objective of this study was to identify the microbial community of pine nuts and sesame seeds using targeted 16S rRNA sequencing technology. Ten different brands of each seed type were assessed, and core microbiomes were determined. A total of 21 and 16 unique taxa with proportional abundances >1% in at least one brand were identified in the pine nuts and sesame seeds, respectively. Members of the core pine nut microbiome included the genera Alishewanella, Aminivibrio, Mycoplasma, Streptococcus, and unassigned OTUs in the families of Desulfobacteraceae and Xanthomonadaceae. For sesame seeds, the core microbiome included Aminivibrio, Chryseolina, Okibacterium, and unassigned OTUs in the family Flavobacteriaceae. The microbiomes of these seeds revealed that these products are dominated by environmental bacterial genera commonly isolated from soil, water, and plants; bacterial genera containing species known as commensal organisms were also identified. Understanding these microbiomes can aid in the risk assessment of these products by identifying food spoilage potential and community members which may co-enrich with foodborne bacterial pathogens.

Statistical Modeling and Significance of Inputs Studies for the Rice Crop Productivity in Pakistan

Lower production of rice crop and increasing population trend is a tangible question for Pakistan. The current study based cross-sectional data collected from crop reporting service Punjab. The multiple linear regression (MLR) model is applied to investigate the significant factor for rice crop yield enhancement. The inputs variable i.e. owned land, seed rate, DAP, Urea, no. of water, no. of ploughs, no. of levels, crop life periods days, other fertilizers, variety super yes or no, seed type yes or no, spray no or yes and disease attack yes or no are studied in MLR model for rice productivity. All the factors found to be statistical significant except land, level, crop life period and super variety. Adj R2 is found to be 0.422 and it is good fit for cross-sectional data.

The Seeds of Doubt: Finding Seeds in Intriguing Places

Introduction: Seeds may be found in gastrointestinal tissue samples, and their multifaceted appearance may be challenging. The aim is to report a rough incidence of pathology samples which show seeds, specify the most frequent sample types and show an iconography of the most commonly identified seeds.Materials and Methods: Between 2017 and 2020, all gastrointestinal pathology cases in which seeds/seed parts were found, were collected and seed type described by referencing a seed image library.Results: Fifty cases with complete seeds/seed parts were collected: 16 colonic resections for colorectal cancer and diverticulosis, 13 appendiceal resections for appendicitis, 1 gastric resection. Fifteen cases were found in polypectomy specimens and 5 cases in colorectal endoscopic biopsies. Most frequent seed types were tomato, kiwi, blueberry, and blackberry seeds.Conclusion: Seeds may be found in up to 4% of specimens; their recognition may be useful to exclude parasitic infections as well as in forensic sciences.

Network based multifactorial modelling of miRNA-target interactions

Competing endogenous RNA (ceRNA) regulations and crosstalk between various types of non-coding RNA in humans is an important and under-explored subject. Several studies have pointed out that an alteration in miRNA:target interaction can result in unexpected changes due to indirect and complex interactions. In this article, we defined a new network-based model that incorporates miRNA:ceRNA interactions with expression values. Our approach calculates network-wide effects of perturbations in the expression level of one or more nodes in the presence or absence of miRNA interaction factors such as seed type, binding energy. We carried out the analysis of large-scale miRNA:target networks from breast cancer patients. Highly perturbing genes identified by our approach coincide with breast cancer-associated genes and miRNAs. Our network-based approach takes the sponge effect into account and helps to unveil the crosstalk between nodes in miRNA:target network. The model has potential to reveal unforeseen regulations that are only evident in the network context. Our tool is scalable and can be plugged in with emerging miRNA effectors such as circRNAs, lncRNAs, and available as R package ceRNAnetsim: https://www.bioconductor.org/packages/release/bioc/html/ceRNAnetsim.html.

SOME ANTI-NUTRITIONAL COMPONENTS IN NIGERIA COTTONSEED AND COTTONSEED MEALS

Cottonseed of three Nigerian commercial varieties of cotton, three locational composite seed cotton and cottonseed meals were investigated with respect to their content of gossypol (free and total), tannins, phytin and phytin phosphorus. Free and total gossypol ranged from 1.14 to 1.34% and 1.21 to 1.59%, respectively in cottonseed kernels, and 0.028 to 0.064% and 0.413 to 0.831%, respectively in cotton seed meals. Varietal and environmental factors appeared to influence the gossypol content of cottonseed while the variability in the meals was due to the effects of conditions under which the seed was processed. Tannins ranged from 26.25 to 38.50 mg/100g in the seed kernels and 3.13 to 6.75 mg/100g in the meals. From all indications varietalIocational and processing factors appeared to influence the tannin content of the seed and meals in a similar manner as they influenced the gossypol content. Phytin and phytin phosphorus did not vary appreciably between or within seed type, neither did processing of seed appear to affect their contents in the meals.

Preparation burning may not improve short-term seed survival in an Amazonian savanna

The role of fire in the management of degraded areas remains strongly debated. Here we experimentally compare removal and infestation of popcorn kernels (Zea mays L. – Poaceae) and açaí fruits (Euterpe oleracea Mart. – Arecaceae) in one burned and two unburned savanna habitats in the eastern Brazilian Amazon. In each habitat, a total of ten experimental units (five per seed type) were installed, each with three treatments: (1) open access, (2) vertebrate access, and (3) invertebrate access. Generalized linear models showed significant differences in both seed removal (P < 0.0001) and infestation (P < 0.0001) among seed type, habitats and access treatments. Burned savanna had the highest overall seed infestation rate (24.3%) and invertebrate access increased açaí seed infestation levels to 100% in the burned savanna. Increased levels of invertebrate seed infestation in burned savanna suggest that preparation burning may be of limited use for the management and restoration of such habitats in tropical regions.

Network based multifactorial modelling of miRNA-target interactions

Competing endogenous RNA (ceRNA) regulations and crosstalk between various types of non-coding RNA in human is an important and under-explored subject. Several studies have pointed out that an alteration in miRNA:target interaction can result in unexpected changes due to indirect and complex interactions. In this paper, we defined a new network-based model that incorporates miRNA:ceRNA interactions with expression values and then calculates network-wide effects after perturbation in expression level of element(s) while utilizing miRNA interaction factors such as seed type, binding energy. We have carried out analysis of large scale miRNA:target networks from breast cancer patients. Highly perturbing genes identified by our approach coincide with breast cancer associated genes and miRNAs. Our network-based approach helps unveiling the crosstalk between node elements in miRNA:target network where abundance of targets leading to sponge effect is taken into account. The model has potential to reveal unforeseen and unpredicted regulations which are only evident when considered in network context. Our tool is scalable and can be plugged in with emerging miRNA effectors such as circRNAs, lncRNAs and available as R package ceRNAnet-sim https://www.bioconductor.org/packages/release/bioc/html/ceRNAnetsim.html.