Comparison of Growth Curves of Four Breeds of Japanese Native Chicken, Onaga-Dori, Tosa-Jidori, Ukokkei and Hinai-Dori

AbstractWe have developed a model for theH2OandOHevolution in a comet outburst, assuming that together with the gas, a distribution of icy grains is ejected. With an initial mass of icy grains of 108kg released, theH2OandOHproductions are increased up to a factor two, and the growth curves change drastically in the first two days. The model is applied to eruptions detected in theOHradio monitorings and fits well with the slow variations in the flux. On the other hand, several events of short duration appear, consisting of a sudden rise ofOHflux, followed by a sudden decay on the second day. These apparent short bursts are frequently found as precursors of a more durable eruption. We suggest that both of them are part of a unique eruption, and that the sudden decay is due to collisions that de-excite theOHmaser, when it reaches the Cometopause region located at 1.35 × 105kmfrom the nucleus.

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Motilitas dan Vabilitas Spermatozoa Ayam Kampung pada Suhu 5°C Menggunakan Pengencer dan Lama Simpan yang Berbeda

Jurnal Ilmu dan Teknologi Peternakan Tropis ◽

10.33772/jitro.v5i3.7242 ◽

2018 ◽

Vol 5 (2) ◽

pp. 102

Author(s):

Enike Dwi Kusumawati ◽

Selvinus Lawu Woli ◽

Aju Tjatur Nugroho Krisnaningsih ◽

Waluyo Edi Susanto ◽

Syam Rahadi

Keyword(s):

Data Analysis ◽

Storage Temperature ◽

Coconut Water ◽

Laboratory Research ◽

Ringer Lactate ◽

Randomized Design ◽

Native Chicken ◽

Lactate Solution ◽

Better Than

ABSTRAKPenelitian ini dilakukan untuk mengetahui motilitas dan viabilitas spermatozoa ayam kampung pada suhu 5oC menggunakan pengencer dan lama simpan yang berbeda. Metode yang digunakan dalam penelitian ini adalah penelitian laboratorium menggunakan Rancangan Acak Lengkap (RAL) Faktorial dengan pengencer ringer lactat solution, air kelapa dan tanpa pengencer serta lama simpan 0, 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, masing-masing diulang 10 kali. Variabel yang diamati yaitu motilitas dan viabilitas spermatozoa. Analisa data yang digunakan adalah analisis varian. Hasil analisis data menunjukkan bahwa motilitas dan viabilitas spermatozoa menggunakan pengencer ringer lactat solution lebih tinggi (P<0,01) serta dapat bertahan sampai lama simpan 24 jam dibandingkan air kelapa dan tanpa pengencer. Adapun nilai motilitas ringer lactat solution, air kelapa dan tanpa pengencer pada lama simpan 24 jam masing-masing sebesar 43,5±17,17%; 8±4,83%; 6,5±2,4%, sedangkan nilai viabilitasnya sebesar 83,2±7,25%; 64,6±3,20%; dan 63,1±2,33%. Kesimpulan dari hasil penelitian ini adalah ringer lactat solution lebih baik dibandingkan air kelapa dan tanpa pengencer dalam mempertahankan kualitas semen ayam kampung pada suhu simpan 5oC sampai lama simpan 24 jam.Kata Kunci : air kelapa, ayam kampung, motilitas, spermatozoa, viabilitas ABSTRACTThis study was conducted to determine the motility and viability of spermatozoa of Native chickens at 5oC using different diluents and time storage. The method used in this study was laboratory research using Factorial Completely Randomized Design with ringer lactate solution, coconut water and without diluent at 0, 3, 6, 9, 12, 15, 18, 21, 24, 27, 30 hours of time storage each repeated 10 times. The variables observed were motility and viability of sperm. Data analysis used is variance analysis. The results of data analysis showed that the motility and viability of spermatozoa using ringer lactate solution diluents was higher (P <0.05) than coconut water and without diluents. The motility values of ringer lactat solution, coconut water and without diluents were 43,5±17,17%; 8±4,83%; 6,5±2,4% respectively, while the viability values were 83,2±7,25%; 64,6±3,20% and 63,1±2,33%. The conclusion of this study is that ringer lactat solution is better than coconut water an without diluents in maintaining the quality of Native chicken semen at a storage temperature of 5oC until 24 hours.Keywords: coconut water, motility, native chicken, sperm, viability

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Carbon Footprint from Meat Production of Thai Cross Breed Native Chicken in Nakhon Ratchasima Province, Thailand

International Journal of Advances in Agricultural & Environmental Engineering ◽

10.15242/ijaaee.c0415020 ◽

2015 ◽

Vol 2 (1) ◽

Keyword(s):

Carbon Footprint ◽

Meat Production ◽

Native Chicken

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Growth curves for children with X-linked hypophosphatemia

Bone Abstracts ◽

10.1530/boneabs.7.oc17 ◽

2019 ◽

Author(s):

Meng Mao ◽

Thomas Carpenter ◽

Michael Whyte ◽

Alison Skrinar ◽

Chao-Yin Chen ◽

...

Keyword(s):

Growth Curves

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Probiotics Slow the Growth of Pathogenic Bacteria

International Journal of Probiotics and Prebiotics ◽

10.37290/ijpp2641-7197.14:28-31 ◽

2019 ◽

Vol 14 (1) ◽

pp. 28-31 ◽

Cited By ~ 1

Author(s):

Rowles H. L.

Keyword(s):

Growth Rate ◽

Bacterial Infections ◽

Pathogenic Bacteria ◽

Diarrheal Disease ◽

Growth Curves ◽

Mortality Rates ◽

Controlled Delivery ◽

E Coli ◽

Multiple Strains ◽

Commercial Probiotics

Probiotics are live microorganisms, which when ingested in sufficient amounts, confer health benefits to the host by improving the gut microflora balance. The purpose of this research was to determine whether commercial probiotic products containing multitude of commensal bacteria would reduce the growth rate of pathogenic bacteria, specifically Escherichia coli and Salmonella typhimurium. Growth curves were established, and the growth rates were compared for samples of E. coli, S. typhimurium, Nature’s Bounty Controlled Delivery probiotic, Sundown Naturals Probiotic Balance probiotic, and cocultures of the pathogenic bacteria mixed with the probiotics. The findings of this research were that the commercial probiotics significantly reduced the growth rate of E. coli and S. typhimurium when combined in cocultures. Probiotics containing multiple strains may be taken prophylactically to reduce the risk of bacterial infections caused by E. coli and S. typhimurium. Probiotics could be used to reduce the high global morbidity and mortality rates of diarrheal disease.

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Comparison of the Growth Curves of Cancer Cells and Cancer Stem Cells

Current Stem Cell Research & Therapy ◽

10.2174/1574888x0902140121163539 ◽

2014 ◽

Vol 9 (2) ◽

pp. 112-116 ◽

Cited By ~ 5

Author(s):

Maria Toloudi ◽

Eleni Ioannou ◽

Marina Chatziioannou ◽

Panagiotis Apostolou ◽

Christos Kiritsis ◽

...

Keyword(s):

Stem Cells ◽

Cancer Stem Cells ◽

Cancer Cells ◽

Growth Curves

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The Cumulative Risk of Chemical and Nonchemical Exposures on Birth Outcomes in Healthy Women: The Fetal Growth Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16193700 ◽

2019 ◽

Vol 16 (19) ◽

pp. 3700 ◽

Cited By ~ 2

Author(s):

Leah Zilversmit Pao ◽

Emily W. Harville ◽

Jeffrey K. Wickliffe ◽

Arti Shankar ◽

Pierre Buekens

Keyword(s):

Birth Outcomes ◽

Fetal Growth ◽

Cumulative Risk ◽

Logistic Models ◽

Growth Curves ◽

Adverse Outcomes ◽

Risk Scores ◽

Growth Study ◽

Race Ethnicity ◽

Pregnancy Weight

Metals, stress, and sociodemographics are commonly studied separately for their effects on birth outcomes, yet often jointly contribute to adverse outcomes. This study analyzes two methods for measuring cumulative risk to understand how maternal chemical and nonchemical stressors may contribute to small for gestational age (SGA). SGA was calculated using sex-specific fetal growth curves for infants of pregnant mothers (n = 2562) enrolled in the National Institute of Child Health and Human Development (NICHD) Fetal Growth Study. The exposures (maternal lead, mercury, cadmium, Cohen’s perceived stress, Edinburgh depression scores, race/ethnicity, income, and education) were grouped into three domains: metals, psychosocial stress, and sociodemographics. In Method 1 we created cumulative risk scores using tertiles. Method 2 employed weighted quantile sum (WQS) regression. For each method, logistic models were built with three exposure domains individually and race/ethnicity, adjusting for age, parity, pregnancy weight gain, and marital status. The adjusted effect of overall cumulative risk with three domains, was also modeled using each method. Sociodemographics was the only exposure associated with SGA in unadjusted models ((odds ratio) OR: 1.35, 95% (confidence interval) CI: 1.08, 1.68). The three cumulative variables in adjusted models were not significant individually, but the overall index was associated with SGA (OR: 1.17, 95% CI: 1.02, 1.35). In the WQS model, only the sociodemographics domain was significantly associated with SGA. Sociodemographics tended to be the strongest risk factor for SGA in both risk score and WQS models.

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