Salinity Factor Effect on Barley Seedlings Incubation

Stress factors limit the development of living organisms, especially plants, and reduce their productivity. In this regard, the study of the effects of stress factors on plants and the discovery of adaptation mechanisms play an important role in the regulation of stress in the cell. From a biological point of view, stress is considered to be any change in the external environment that impairs the normal development of the plant or changes it in a negative direction. Stresses cause changes in the physiological activity of plants, weaken the process of biosynthesis in the cell, disrupt normal life and ultimately can cause plant death.

Faktor-faktor yang Mempengaruhi Hipertensi Pada Lansia: Scoping Review

AbstrakHipertensi adalah suatu peningkatan tekanan darah sistolik atau diastolik yang tidak normal. Hipertensi umumnya di derita oleh lanjut usia, terdapat dua faktor risiko yang mempengaruhi hipertensi pada lansia, yaitu faktor yang dapat diubah dan yang tidak dapat diubah. Penelitian ini bertujuan untuk mengetahui apa saja faktor-faktor yang mempengaruhi hipertensi pada lansia. Penelitian ini mengakses database PubMed, ProQuest, dan Portal Garuda. Pencarian dilakukan dengan mengkombinasi kata kunci : “Factor,” “Effect,” “Elderly or Older,” and “Hypertention or Hypertension or High Blood Pressure”. Dari database PubMed didapatkan 1 artikel untuk di review, dari database ProQuest didapatkan dua artikel untuk di review dan dari database portal garuda di dapatkan dua artikel untuk di review yang sesuai dengan criteria inklusi dan ekslusi. Partisipan pada studi ini adalah lansia dengan hipertensi. Pada penelitian ini menggunakan instrument STROBE. Hasil penelitian scoping review dari 5 artikel menunjukkan bahwa terdapat 8 faktor yang dapat mempengaruhi hipertensi pada lansia yaitu, gangguan tidur, stress, usia, merokok, konsumsi alkohol, kebiasaan olahraga, obesitas, faktor genetik. Pada penelitian ini rata-rata mean usia lansia yang menderita hipertensi berada pada usia lanjut (elderly). Berdasarkan review terhadapa kelima artikel tersebut ada 8 faktor yang mempengaruhi hipertensi pada lansia.Kata Kunci : Faktor-Faktor; Hipertensi; Lansia;

D-Optimal Split-plot Designs With Random Whole Plot Factor and Fixed Sub-plot Factor

This study examines design preference in Completely Randomized (CR) split-plot experiments involving random whole plot factor effect and fixed sub-plot factor effect. Many previous works on optimally designing split-plot experiments assumed only factors with fixed levels. However, the cases where interests are on random factors have received little attention. These problems have similarities with optimal design of experiments for fixed parameters of non-linear models because the solution rely on the unknown parameters.  Design Space (DS) containing exhaustive list of balanced designs for a fixed sample size were compared for optimality using the product of determinants of derived information matrices of the Maximum Likelihood (ML) estimators equivalent to random and fixed effect in the model. Different magnitudes of components of variance configurations where variances of factor effects are larger than variances of error term were empirically used for the comparisons. The results revealed that the D-optimal designs are those with whole plot factor levels greater than replicates within each level of whole plot.

Inorganic Elements of Mangium Stem (Acacia mangium Willd) from Different Provenanc

This study aimed to investigate the ash content and concentrations of inorganic elements present in the stem of Acacia mangium. The tree samples (24 years) were collected from five different provenances (Sidei, West of Morehead, Daintree, Ellerbeck, and El Arish). Meanwhile, the disc samples were obtained from the trunk of each tree on the lower parts. The samples were collected from four radial positions (bark, sapwood, outer heartwood, inner heartwood), and the ash and insoluble acid contents were determined. Furthermore, the concentration of 5 elements (Ca, Mg, Fe, Mn, K, and Na) was measured by Atomic Absorption Spectrophotometry (AAS). The interaction of provenance and radial position factors affected ash and potassium contents. Also, acid insoluble ash and calcium contents showed a provenance factor effect. The barks obtained from the tree samples contained the highest concentrations of ash content and most of the elements. The wood and bark of El-Arish provenance showed the lowest (0.50~0.72%) and highest levels (4.75%) of ash content respectively. Furthermore, the highest amount of insoluble acid ash (3075 ppm) and calcium (4513 ppm) content was also measured in samples of El-Arish provenance, and radial position factor was a significant source of variation for Ca, Mg, Na, and Mn concentrations. Except Mg, the inner and outer portions of the heartwood mostly showed no significant difference in unprecedented element concentrations. Ash content was positively correlated with Ca in sapwood (r=0.39) and Mn in bark (r=0.54). In addition, moderate correlations were observed between Mg and Ca in heartwood (r=0.63) and bark (r=0.54) tissues. For ash and silica content, the comparatively low concentration on samples from El-Arish provenance are good options to improve wood quality for breeding programs.

PSIX-22 Assessment of the influence of IGF2 gene polymorphism in boars on economically significant traits

Studies of polymorphism in the IGF2 gene are of interest due to their association with economically useful traits in pigs. The aim of this work was to study the effect of IGF2 polymorphism on the variability of meat and fattening traits in pigs and to control the preservation of high reproductive qualities. The genotyping was performed using RT-PCR approaches were generated on the genetic resource collection of the L.K. Ernst Federal Research Center for Animal Husbandry. The total of 272 Large White (LW) and 301 Landrace (L) boars was investigated. Genotypes have been identified: at LW AA 73.5%, AG 23.2%, GG 3.3%; for L AA 10.3%, AG 35.2%, GG 54.5%. Reproductive performance evaluated on 22082 farrows from these boars. Analysis of productivity data was performed taking advantage of the model: y=μ+Breed+IGF2+Breed×IGF2+e, where y is the productivity index (for traits: weight at start of the test (BWs), weight at the end of the test (BWe), age of reaching 100 kg (AGE100), average daily gain (ADG), fat thickness (BF), litter size (LS), live-born (LB) and stillborn piglets (SB), the number of weaned piglets (Wean), the weaning weight (WWT), µ is the total average for a sample of n animals; Breed - the influence of the breed factor; IGF2 - gene factor effect; Breed×IGF2 - factor interaction effect; e - error. A significant effect of the IGF2 gene on variability was revealed at P < 0.001 BWe, ADG, LS, LB, Wean, WWT, at P < 0.01 on BWs, AGE100; when factors interact at P < 0.001 on ADG, AGE100, Wean, WWT, at P < 0.05 on LB. Revealed animals with genotype AA showed the best results in terms of meat and feeding qualities, as well as reproductive qualities. This research was supported by the Ministry of science and higher education No 0445-2021-0008.

Forecasting Young Apple Tree Bud Status with a Visible/Near-Infrared Spectrometer

Being able to ascertain the physiological condition of the buds on a young apple tree before bud burst could help farmers manage their orchards more efficiently, especially if they could do so without destroying the buds in the process. The experiments carried out in this study were conducted with the aim of distinguishing shoot from non-shoot buds before bud burst using a visible/near-infrared spectrometer, a device that does not destroy the buds being tested. Tests on spring-planted (April 30, 2021) trees were conducted to check shoot and non-shoot bud physiology and the winter dormancy of young ‘Jonagold’, ‘Miyabi Fuji’ and ‘Orin’ apple trees. The light absorbance of the shoot buds before bud burst was much lower than the light absorbance of the non-shoot buds as checked on the visible/near-infrared spectrometer. The highest first factor effect was determined by a PCA test conducted on shoot and non-shoot ‘Jonagold’ buds (99.9%) at a range of 640-652 nm, ‘Miyabi Fuji’ buds (99.7%) at 654-680 nm and ‘Orin’ buds (99.6%) at 704-766 nm seven days before bud burst. We also found that the highest level of accuracy, using the Classifier analysis, between shoot and non-shoot ‘Jonagold’ buds (76.6%) was one day before bud burst, for ‘Miyabi Fuji’ buds (82.1%) it was three days before and for ‘Orin’ buds (76.3%) it was two days before. These findings suggest that growers can more effectively manage the development of the young trees in their orchards with a visible/near-infrared spectrometer.

Experimental research on water chemistry evolution in case of inadequate conservation protocols: application on surface and groundwater

The objective of this study conducted from October to December 2020 in the Natural Resources and Sensitive Environment Development Laboratory was to demonstrate the importance of conservation protocols respect throw evolution of water chemistry. Ninety-nine samples representing three water types (tap, spring and mineral water) were analyzed. Storage was at laboratory temperature with no conservation protocol. Studied parameters (temperature, pH, CE, dissolved oxygen, oxydo-reduction potential, total dissolved solids, HCO3−, Ca2+, Mg2+, SO42− and Cl−) were determined using standard methods. The data registered from physico-chemical parameters were subjected to different analytical methods to assess the time affect on their values compared with initial state. The results indicate that pH and alkalinity (exprimed in HCO3−) are the most vulnerable to evolution processes with highly significant time factor effect, while the concentrations of chlorides and sulfates with conductivity levels are statistically less evolved. PCA analysis accounting 71.43% of the total variance examines contribution of water type composition as a second variation factor. Projection through F1*F2 plan demonstrates clearly two groups with surface waters (tap water) which are excessively mineralized and groundwaters (spring and bottled waters) in which pH and magnesium parameters variations are the best illustrated.