1,721,113 research outputs found

    The annual change of reproductive axis hormones in male and female hair goats

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    Bu araştırmada, 1.5 yaşlı 12 baş Kıl keçisinde (7 baş dişi ve 5 baş erkek) Melatonin, Gonadotropin Salgılatıcı Hormon (GnRH), Folikül Uyarıcı Hormon (FSH), Lüteinleştirici Hormon (LH), Östrojen, Testosteron, Projesteron, Prolaktin ve Oksitosin hormonlarının bir yıl süresince ve farklı fizyolojik dönemlerdeki değişimleri incelenmiştir. Çalışmada hormon düzeylerini belirlemek için 2015 yılı Eylül ve 2016 yılı Ağustos ayları arasında her keçiden aylık periyotlarla kan örnekleri alınmıştır. Kan serumunda hormon analizleri Erciyes Üniversitesi Ziraat Fakültesi Zootekni Bölümü'nde bulunan Hayvan Fizyolojisi ve Endokrinolojisi Laboratuvarı'nda gerçekleştirilmiştir. Araştırma sonuçlarına göre Kıl keçilerinde Eylül, Ekim, Kasım, Aralık, Ocak, Şubat, Mart, Nisan, Mayıs, Haziran, Temmuz ve Ağustos aylarında melatonin (ng/l), GnRH (ng/ml), FSH (mIU/ml), LH (mIU/ml), östrojen (ng/l), testosteron (ng/ml), projesteron (ng/ml), prolaktin (ng/l) ve oksitosin (ng/l) hormonlarının genel ortalamaları sırasıyla, 899.51±197.28, 986.72±185.06, 1031.47±186.83, 1051.39±151.25, 962.70±172.49, 1033.15±177.90, 1057.14±184.81, 927.63±159.53, 854.67±160.36, 822.98±166.26, 787.53±159.53, 827.53±133.71; 55.94±3.97, 66.74±6.47, 59.65±5.39, 36.62±2.58, 34.69±4.84, 36.54±5.30, 34.31±6.15, 30.72±5.07, 32.26±6.11, 33.76±6.13, 33.74±6.10, 37.20±6.76; 8.83±0.71, 11.27±0.69, 8.55±0.72, 7.62±0.69, 6.42±0.99, 6.95±0.81, 6.51±0.56, 6.52±0.89, 5.75±0.68, 5.63±0.70, 6.37±0.91, 6.96±0.80; 12.76±1.37, 18.26±1.77, 15.82±1.66, 14.72±2.17, 9.97±1.93, 8.30±1.18, 6.50±1.11, 5.89±1.15, 5.58±1.29, 6.18±1.13, 7.24±1.47, 9.02±0.86; 61.36±4.99, 60.78±5.20, 46.61±4.24, 35.43±3.27, 36.14±3.42, 52.39±5.07, 38.45±3.67, 38.74±4.18, 40.15±2.99, 41.25±5.29, 40.14±4.47, 38.74±3.65; 6.28±0.58, 10.09±1.38, 7.63±0.74, 2.04±0.18, 1.19±0.22, 1.20±0.15, 0.74±0.20, 0.58±0.07, 0.88±0.12, 1.06±0.37, 2.77±0.54, 3.34±0.38; 3.98±0.78, 13.44±0.94, 13.87±2.05, 11.09±1.13, 7.12±0.92, 4.33±0.46, 1.25±0.10, 1.19±0.16, 1.15±0.10, 1.41±0.13, 1.25±0.08 ve 1.34±0.09; 19.88±3.88, 28.77±4.79, 25.69±4.71, 30.21±6.06, 35.42±6.79, 35.15±7.94, 24.74±4.43, 23.64±4.51, 19.13±3.64, 16.16±3.74, 16.74±3.93, 17.44±3.77 ve 21.13±1.39, 25.10±2.15, 26.03±3.20, 25.59±3.12, 25.39±2.78, 26.40±2.79, 20.92±3.16, 20.63±2.69, 20.57±1.78, 20.59±2.80, 20.92±2.69, 20.91±2.15 olarak saptanmıştır. Dişi Kıl keçilerinde LH, östrojen, projesteron ve prolaktin hormonlarının ortalama değerleri bakımından aylar arasında görülen farklılıklar istatistiksel olarak önemli (p<0.01) bulunurken; erkek Kıl keçilerinde ise GnRH, FSH, LH, östrojen, testosteron, projesteron ve prolaktin hormonlarının ortalama değerleri bakımından aylar arasında görülen farklılıkların istatistiki olarak önemli (GnRH, LH, östrojen, testosteron, projesteron: p<0.01; FSH, prolaktin: p<0.05) seviyede olduğu tespit edilmiştir. Araştırmada mevsim, sıcaklık-nem indeksi ve fotoperiyot değişimi ile üreme aksı hormonları değişimleri arasındaki ilişkiler de incelenmiştir. In this research, Melatonin, Gonadotropin Releasing Hormone (GnRH), Follicle Stimulating Hormone (FSH), Luteinizing Hormone (LH), Estrogen, Testosterone, Progesterone, Prolactin (PRL) and Oxytocin hormones changes were studied on 12 heads of Hair goat with 1.5 years old (7 heads of female and 5 heads of male) in different physiological periods during one year (from September 2015 to August 2016). In the study, the blood samples were taken from each goat in every month in order to determine hormone levels. In the blood serum, hormone analysis were performed in the Animal Physiology and Endocrinology Laboratory at Erciyes University, Faculty of Agriculture, Department of Animal Science. Based on the results obtained in this research, the general means of melatonin (ng/l), GnRH (ng/ml), FSH (mIU/ml), LH (mIU/ml), estrogen (ng/l), testosterone (ng/ml), progesterone (ng/ml), prolactin (ng/l) and oxytocin (ng/l) hormones in Hair goats in September, October, November, December, January, February, March, April, May, June, July and August were found as 899.51±197.28, 986.72±185.06, 1031.47±186.83, 1051.39±151.25, 962.70±172.49, 1033.15±177.90, 1057.14±184.81, 927.63±159.53, 854.67±160.36, 822.98±166.26, 787.53±159.53, 827.53±133.71; 55.94±3.97, 66.74±6.47, 59.65±5.39, 36.62±2.58, 34.69±4.84, 36.54±5.30, 34.31±6.15, 30.72±5.07, 32.26±6.11, 33.76±6.13, 33.74±6.10, 37.20±6.76; 8.83±0.71, 11.27±0.69, 8.55±0.72, 7.62±0.69, 6.42±0.99, 6.95±0.81, 6.51±0.56, 6.52±0.89, 5.75±0.68, 5.63±0.70, 6.37±0.91, 6.96±0.80; 12.76±1.37, 18.26±1.77, 15.82±1.66, 14.72±2.17, 9.97±1.93, 8.30±1.18, 6.50±1.11, 5.89±1.15, 5.58±1.29, 6.18±1.13, 7.24±1.47, 9.02±0.86; 61.36±4.99, 60.78±5.20, 46.61±4.24, 35.43±3.27, 36.14±3.42, 52.39±5.07, 38.45±3.67, 38.74±4.18, 40.15±2.99, 41.25±5.29, 40.14±4.47, 38.74±3.65; 6.28±0.58, 10.09±1.38, 7.63±0.74, 2.04±0.18, 1.19±0.22, 1.20±0.15, 0.74±0.20, 0.58±0.07, 0.88±0.12, 1.06±0.37, 2.77±0.54, 3.34±0.38; 3.98±0.78, 13.44±0.94, 13.87±2.05, 11.09±1.13, 7.12±0.92, 4.33±0.46, 1.25±0.10, 1.19±0.16, 1.15±0.10, 1.41±0.13, 1.25±0.08 ve 1.34±0.09; 19.88±3.88, 28.77±4.79, 25.69±4.71, 30.21±6.06, 35.42±6.79, 35.15±7.94, 24.74±4.43, 23.64±4.51, 19.13±3.64, 16.16±3.74, 16.74±3.93, 17.44±3.77 and 21.13±1.39, 25.10±2.15, 26.03±3.20, 25.59±3.12, 25.39±2.78, 26.40±2.79, 20.92±3.16, 20.63±2.69, 20.57±1.78, 20.59±2.80, 20.92±2.69, 20.91±2.15 respectively. There were statistically significant (p<0.01) differences among the months for LH, estrogen, progesterone and prolactin levels in female Hair goats; while the differences among the months for GnRH, FSH, LH, estrogen, testosterone, progesterone and prolactin levels were statistically significant (GnRH, LH, estrogen, testosterone, progesterone: p<0.01; FSH, prolactin: p<0.05) in male Hair goats. In this research, relationships among the changes in reproductive axis hormones with season, temperature-humidity index and photoperiod were also investigated

    Effects of water restriction on thermoregulation mechanism and behaviour's of goats.

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    TEZ8656Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2012.Kaynakça (s. 37-42) var.xii, 43 s. : res. ; 29 cm.The present study was carried out to investigate the effects of water restriction on performance, thermoregulation mechanism and behavior's of goats. 20 Balcalı goats in Agricultural Faculty Research Farm, University of Cukurova, Adana, Turkey were used for the experiment. 20 female goats were selected in June and after a one week trial the experiment was started in July and held for 30 days. All goats were kept in individual cages during the experiment. Selected 5 goats were kept as control group. The rest 15 goats were kept as trial. Control group were continued as normal feeding and management conditions while trial groups were given restricted water management. Thus, daily given water amount were 2 l/day for group 1, 3 l/day for group 2 and 4 l/day for group 3. Daily feed consumption, physiological adaptation, biochemical blood parameters and feed and water consumption behaviors were detected and recorded. Even, weights were also recorded for find out the effects of restricted watering regime on goats. The results showed that water restriction caused live weight loss, lower feed consumption, higher rectal and skin temperatures, lower pulse and respiratory rate, higher glucose, cholesterol, urea, creatinine, sodium and vasopressin and lower potassium levels. Anhydrous animals were rested and standing much more but showed less rumination and walking behavior.Araştırma, Çukurova Üniversitesi Ziraat Fakültesi Araştırma ve Uygulama Çiftliği Süt Keçiciliği tesislerinde toplam 20 baş Balcalı genotipinden dişi çepiç üzerinde yürütülmüştür. Bu amaçla Haziran ayında 20 baş Balcalı çepiç canlı ağırlık ortalamaları eşit olacak şekilde seçilmiş ve sıcaklık zorlanımının maksimum düzeyde olduğu Temmuz ayında araştırma başlatılmıştır. Denemeye 30 gün boyunca devam edilmiştir. Seçilen 5 baş çepiç kontrol grubunu diğer 15 baş çepiç ise muamele grubunu oluşturmuştur. Kontrol grubu çepiçler normal besleme ve manejman düzeninde devam ederken muamele gruplarına normal rasyona ilaveten tüketilen kuru madde oranı dikkate alınarak değişen miktarlarda su verilmiştir. Buna bağlı olarak muamele gruplarına günlük 2 l, 3 l ve 4 l su verilerek yem tüketimi, fizyolojik adaptasyon ve biyokimyasal kan parametreleri ile beslenme ve su tüketimi davranışları takip edilmiştir. Ayrıca canlı ağırlıkları da takip edilerek su kısıtlamasının etkileri ortaya konulmaya çalışılmıştır. Elde edilen bulgular ve analiz sonuçları incelendiğinde kısıtlı su uygulamasının muamele grupları arasında istatistik olarak önemli farklılıklara neden olduğu tespit edilmiştir. Buna göre hayvanların tükettiği su miktarı azaldıkça yem tüketimi ve canlı ağırlıkta gerileme meydana gelmektedir (p<0.01). Hayvanların rektal ve deri sıcaklıklarında yükselme meydana gelirken, solunum sayısı ve nabız hızında azalma tespit edilmiştir (p<0.01). Su miktarındaki azalmayla birlikte kan glukoz, kolesterol, üre, kreatinin, sodyum ve ADH düzeylerinde artış meydana gelirken, kan potasyum seviyesinde azalma olduğu tespit edilmiştir (p<0.01). Hayvanların beslenme ve yürüme davranışında kısıtlı su uygulamasıyla birlikte düşüş yaşanırken; ayakta durma ve dinlenme davranışlarında hem frekans hem süre olarak artış gözlemlenmiştir (p<0.01)

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Hayvansal Üretimin Küresel Isınmaya Etkileri

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    Artan sıcaklığa bağlı olarak meydana gelen küresel ısınmayı; “atmosfer, okyanuslar ve karalardaki yüzey sıcaklıklarının artışı” olarak tanımlamak mümkündür. Küresel ısınmaya büyük oranda kömür, petrol ve doğal gaz gibi fosil yakıtların yakılması sonucu atmosfere yayılan sera gazlarının neden olduğu düşünülmektedir. Küresel ısınma ve iklim değişikliği başta tarım olmak üzere, sağlık, orman, su kaynakları, enerji, kıyı alanları, turizm, türler ve doğal kaynakları önemli ölçüde etkileyecektir. Çiftlik hayvanları ve hayvansal üretimin iklim değişikliği ve küresel ısınmadan nasıl etkileneceği ve ortaya çıkacak verim kayıplarının azaltılması konusunda halen birçok çalışma yapılmaktadır. Bir diğer taraftan hayvansal üretim, insan kaynaklı CO2 emisyonunun %9’unu, CH4 emisyonunun %35-40’ını, N2O emisyonunun %65’ini ve NH3 emisyonunun %64’ünü sağlayarak küresel ısınmaya katkıda bulunmaktadır. Bu çalışmada hayvansal üretimin küresel ısınmaya olan etkileri araştırılacak ve bunları minimize etmek üzere kimi öneriler getirilmeye çalışılacaktır.Global warming is the increase in the average temperature of Earth's near-surface air and oceans since the mid-20th century and its projected continuation. Most of the observed temperature increase since the middle of the 20th century was very likely caused by increasing concentrations of greenhouse gases resulting from human activity such as fossil fuel burning and deforestation. Warming is expected to be strongest in the Arctic and would be associated with continuing retreat of glaciers, permafrost and sea ice. Other likely effects include changes in the frequency and intensity of extreme weather events, species extinctions, and changes in agricultural yields. Animal production is contribute to global warming with causing to %9 of human welded CO2 emission, %35-40 of CH4 emission, %65 of N2O emission and %64 of NH3 emission. On the other hand, the effects of global warming (high temperature and drought) are adversely affects animal production. In this article, we discussed the effects of animal production to global warming and some solutions suggested to neutralize this effects

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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