Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleAçık Erişim2015Scopus SJRQ2
    Investigate the effects of non-genetic factors on calving difficulty and stillbirth rate in holstein friesian cattle using the CHAID analysis; [Genetiksel Olmayan Faktörlerin Siyah Alaca Sığırlarda Güç ve Ölü Doğuma Etkilerinin CHAID Analizi İle İncelenmesi]

    Bayram, Bahri; Topal, Mehmet; Aksakal, Vecihi; Önk, Kadir

    A total number of 947 calving records from 613 Holstein Friesian cows raised at a private dairy farm in Kelkit, Turkey, from 2004 to 2006 were used to study the effect of non-genetic factors on calving difficulty and stillbirth rate using CHAID algorithm. The mean calf birth weight was 41.0±0.19 kg. The overall incidence of calving difficulty and stillbirths in the Holstein Friesian herd were 9.1% and 9.4%, respectively. Calf birth weight, birth type and calving season had the greatest impact on calving difficulty. The increase in calf birth weight was associated with a significant increase in calving difficulties (P<0.01). The calving difficulty risk in twins (18.9%) was higher than in singleton calves (5.0%). The main environmental variables affecting the stillbirth rate were parity number, calf birth weight, sex of calf, calving season and calving difficulty. Parity number was statistically the most relevant factor affecting the stillbirth rate, which was also higher in primiparous (18.7%) than in multiparous cows (5.4%). As the calf birth weight increased, a significant increase was also in the stillbirth rate (P<0.01). The stillbirth rate in winter (19.7%) was higher than in other seasons (3.6%) (P<0.01). Calving assistance was associated with an increased risk of stillbirth (P<0.05). As a result, calf birth weight, birth type and calving season had the greatest impact variables on calving difficulty, however, parity, calf birth weight, sex, calving season and calving difficulty were the most effective variables on stillbirth in Holstein Friesian Cattle.

    • SDG 2 · Açlığa Son
    AtıfScopus8WoS8OpenAlex1
    İncele
  • MakaleYalnız künye2012Scopus SJRQ2
    Comparison of Multiple Linear Regression and Artificial Neural Network Models Goodness of Fit to Lactation Milk Yields

    Takma, Cigdem; Atil, Hulya; Aksakal, Vecihi

    In this study, effects of lactation length, calving year and service period on lactation milk yield of Holstein Friesians were modeled with multiple regression and artificial neural networks (ANN) and compared goodness of fit of models. Analyses were carried on five lactations milk yields of 305 Holsteins calved at 2006, 2007 and 2008 years. After several experiments, hidden layer number was taken one and hidden nodes number were found three for the chosen architecture. Moreover, convergence criteria, maximum iteration number and epoch number were taken as 1.10(-6), 50 and 20, respectively. Adjusted coefficient of determination (R-2),root mean square error (RMSE), mean absolute deviation (MAD), mean absolute percentage error performance criteria (MAPE) were used for comparison of artificial neural network and multiple linear regression models goodness of fit. After analysis R-2 values were found among 0.62-0.85 for the five lactations with neural networks model. RMSE, MAD and MAPE criteria also were found among 480.9-1682.8, 325.2-1381.7 and 6.1-20.2, respectively. These criteria were found for R-2, RMSE, MAD and MAPE among 0.30-0.75, 1964.8-30008.7, 1576.6-2458.3 and 24.7-35.6, respectively for multiple linear regression. When the models were compared, artificial neural networks model gave better fit than multiple linear regression models. Consequently, artificial neural networks was determined an alternative method to multiple regression analysis.

    • SDG 2 · Açlığa Son
    AtıfWoS40OpenAlex34
    İncele
  • MakaleYalnız künye2009Scopus SJRQ4
    The effect of average daily gain and age at first calving on reproductive and milk production traits of brown swiss and holstein friesian cattle

    Bayram, B.; Yanar, M.; Akbulut, O.

    The purpose of the study was to determine the effects of average daily gain and age at first calving on the reproductive and milk production traits of Brown Swiss (BS) a.d Holstein Friesian (HF) cattle. For this purpose, daily gains and ages at first calving were divided into two groups which were below the average called as the "slow" or "early" groups and above the average named as "moderate" or "late" groups respectively. BS heifers in the moderate group reached the first insemination age and first calving age 103.7 and 101.7 days earlier (P>0.01) than these in the slow group respectively. The corresponding values for HF heifers were 37.8 and 29.5 days respectively and were not significant. While the average daily gain had negative effects on reproduction traits following the first calving, the daily gain of BS had no effect on the milk production traits in all parities. HF heifers in the moderate group had higher (P>0.05) actual (585 kg) and 305 days milk yield (324 kg) in the second parity. Early calving in both breeds resulted in a significant (P>0.05) reduction in the actual and 305-days milk yield in the first parity. Early calving caused a significant decrease (P>0.05) in the actual milk yield, 305-days milk yield, actual milk fat and 305-days milk fat yield of BS cows in the first parity. Either early or late calving in BS didn't affect on milk traits in second and third parities. The early calving in HF lowered significantly (P>0.05) the actual and 305-days milk yield in first lactation. However, late calving in HF resulted in lower actual milk yield, 305-days milk yield, actual milk fat yield and 305-days milk fat yield in third parity.

    AtıfScopus15WoS12
    İncele
  • MakaleYalnız künye2009
    Estimates of genetic and phenotypic parameters for the birth weight of calves of Holstein Friesian cattle reared organically

    Aksakal, Vecihi; Bayram, Bahri

    The aim of this study, was to estimate genetic and phenotypic parameters for birth weight and to determine the survival rate of calves of Holstein Friesian cattle reared organically. Aborting rate, still born rate and the calving difficulty rate were 4.6, 3.9 and 9.1 %, respectively. The average birth weight was 42.76±0.229 kg in present study. This value was quite higher than the birth weight in Holstein Friesian calves that breed conventionally in Turkey's conditions. The effect of calving season (p<0.01) and farming system (p<0.05) on birth weight were significant. Male calves had 2.69 kg higher birth weight than females and this difference was found significant (p<0.01). The mean birth weight of single calves was 6.26 kg (17%) higher than that of twin calves. The effect of the years on birth weight was not significant, because caring, feeding and the other breeding methods were made according to the conditions of the regulations. As the birth parity was increased, the birth weight decreased (p<0.05). Heritability and repeatability estimates belong to birth weight were found as 0.232±0.110 and0.206±0.073, respectively.

    AtıfScopus21WoS20
    İncele