• Animal Bioscience
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• 제35권3호
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• pp.377-384
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• 2022

Objective: This study was conducted to estimate multi-trait genetic parameters for somatic cell score (SCS), milk yield and type traits in Nigerian Dwarf (ND) goats from the United States. Methods: Data from 1,041 ND goats in the United States with kiddings in 95 herds were used to estimate multi-trait genetic parameters for SCS, milk (MILK), fat (FAT), and protein (PROT) yields, and 14 type traits. An 18-trait mixed linear animal model for lactation mean SCS (Log₂), MILK, FAT, PROT, and 14 type traits was applied. A factor analytic approach (FA1) in ASReml software was used to obtain convergence. Results: Averages for SCS were low (2.85±1.29 Log₂), and were 314±110.6, 20.9±7.4, and 14±4.9 kg, respectively, for MILK, FAT, and PROT. Heritabilities for SCS, MILK, FAT, and PROT were 0.32, 0.16, 0.16, and 0.10, respectively. The highest heritabilities for type traits were for stature (0.72), teat diameter (0.49), and rump width (0.48), and the lowest estimates were for dairyness (0.003) and medial suspensory ligament (0.03). Genetic correlations of SCS with MILK, FAT, and PROT were positive but low (0.25, 0.18, and 0.23, respectively). Genetic and phenotypic correlations between MILK, FAT, and PROT were high and positive (≥0.66). Absolute values of genetic correlations involving SCS with type traits were generally low or no different from zero. Most of the phenotypic correlations involving SCS with type traits were low. No serious unfavorable genetic correlations between milk yield traits and SCS or between milk yield traits or SCS and type traits were found. Conclusion: Genetic variation exists in the ND breed for most studied traits. The development of selection programs based on these estimates may help accelerate favorable multi-trait genetic changes in this breed.

• Asian-Australasian Journal of Animal Sciences
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• 제28권3호
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• pp.303-310
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• 2015

The study was conducted to analyze the genetic parameters of somatic cell score (SCS) of Holstein cows, which is an important indicator to udder health. Test-day records of somatic cell counts (SCC) of 305-day lactation design from first to fifth lactations were collected on Holsteins in Korea during 2000 to 2012. Records of animals within 18 to 42 months, 30 to 54 months, 42 to 66 months, 54 to 78 months, and 66 to 90 months of age at the first, second, third, fourth and fifth parities were analyzed, respectively. Somatic cell scores were calculated, and adjusted for lactation production stages by Wilmink's function. Lactation averages of SCS ($LSCS_1$ through $LSCS_5$) were derived by further adjustments of each test-day SCS for five age groups in particular lactations. Two datasets were prepared through restrictions on number of sires/herd and dams/herd, progenies/sire, and number of parities/cow to reduce data size and attain better relationships among animals. All LSCS traits were treated as individual trait and, analyzed through multiple-trait sire models and single trait animal models via VCE 6.0 software package. Herd-year was fitted as a random effect. Age at calving was regressed as a fixed covariate. The mean LSCS of five lactations were between 3.507 and 4.322 that corresponded to a SCC range between 71,000 and 125,000 cells/mL; with coefficient of variation from 28.2% to 29.9%. Heritability estimates from sire models were within the range of 0.10 to 0.16 for all LSCS. Heritability was the highest at lactation 2 from both datasets (0.14/0.16) and lowest at lactation 5 (0.11/0.10) using sire model. Heritabilities from single trait animal model analyses were slightly higher than sire models. Genetic correlations between LSCS traits were strong (0.62 to 0.99). Very strong associations (0.96 to 0.99) were present between successive records of later lactations. Phenotypic correlations were relatively weaker (<0.55). All correlations became weaker at distant lactations. The estimated breeding values (EBVs) of LSCS traits were somewhat similar over the years for a particular lactation, but increased with lactation number increment. The lowest EBV in first lactation indicated that selection for SCS (mastitis resistance) might be better with later lactation records. It is expected that results obtained from these multi-trait lactation model analyses, being the first large scale SCS data analysis in Korea, would create a good starting step for application of advanced statistical tools for future genomic studies focusing on selection for mastitis resistance in Holsteins of Korea.

• Journal of Animal Science and Technology
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• 제51권4호
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• pp.265-272
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• 2009

본 연구는 임실군 관내 16농가를 선정하여 총 486두에 대한 비유기록을 수집하였으며, 얻어진 결과는 다음과 같다. 평균 비유개시 3분이내 유량(3MG)은 7.44 kg으로 총 유량의 55%가 3분이내에 비유되는 것으로 나타났고 평균 우유속 거품함량(SPL)은 33.93%였으며, 평균 후착유 유량은(MNG)은 0.14 kg으로 총 유량의 1%에 불과하였다. 순간최고유속(HMF), 분당최고유속(HMG)과 주착유시평균유속(DMHG)에 대한 평균치는 각각 3.03 kg/min, 2.94 kg/min과 2.05 kg/min으로 임실군 젖소군의 비유속도는 대체적으로 느린 것으로 조사되었다. 비유개시부터 유속 500 g/min 도달시간(tS500)은 평균 0.23분(약 14초) 이었으며, 총비유 시간(tMGG)의 평균은 7.75분이었다. 평균 과착유소요시간(tMBG)은 0.58분(35초) 이었으며, 후착유소요시간(tMNG)은 평균 0.42분(14초) 걸리는 것으로 조사되었다. 최고유속시 전기전도도(ELHMF)와 비유개시시 최고전기전도도(ELAP)의 평균은 각각 6.81 mS/cm와 7.58 mS/cm로 조사되었고 최고유속이후 최고전기전도도(ELMAX)는 평균 7.48 mS/cm로 나타났으며, 비유초기와 최고유속의 전기전도도 차이(ELAD)는 평균 0.61 mS/cm로 나타났다. 총비유량은 주착유시 평균유속(DMHG), 주착유시간(tMHG), Plateau 비유 소요시간(tPL), 비유하강기 소요시간(tAB)과 총착유 시간(tMGG)에 대하여 0.35~0.54 범위의 정(+)의 상관관계를 나타낸 반면, 과착유시간(tMBG)과 우유속 거품함량(SPL)과는 각각 -0.11과 -0.27의 부(-)의 상관을 나타내었다. 주착유시 평균유속(DMHG)이 증가하면 총비유시간(tMHG), Plateau 비유 소요시간(tPL), 비유하강기 소요시간(tAB), 총비유시간(tMGG)과 우유속 거품함량(SPL)은 감소하는 것으로 나타났다. 비유개시시 전기전도도가 높은 개체의 우유는 체세포 수가 적은 반면 최고 비유기 이후 최고전도도가 높은 개체의 우유는 체세포 수가 높은 것으로 나타났다. 따라서 비유상태를 정기적으로 점검하고 착유 및 비유에 대한 표준안을 바탕으로 착유를 실시하면 유량과 유질의 향상을 기대할 수 있다고 판단되었다.

• 대한수의학회지
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• 제32권2호
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• pp.157-164
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• 1992

Changes in the both inward current and conductance of membrane by the fertilization were observed using the one microelectrode voltage clamp(or switch clamp) technique. Unfertilized eggs and both 1- and 2-cell stage eggs after fertilization were donated from the superovulated mouse (ICR, more than 6 weeks old) treated with PMSG(pregnant mare serum gonadotropin, Sigma) and HCG(human chorionic gonadotropin, Sigma) and naturally mated ones, respectively in this experiment. Membrane potential was held at -90mV and the voltage step was applied from -80mV to 50mV with interval of 10mV or 20mV for 300ms. since both of amplitudes and time courses in the membrane currents were various according to the states of cells and clamping condition, results were presented by their $averages{\pm}SEM$(standard mean error)and ratios or percentages. Inward currents began to appear in response to the step depolarization from -60mV and reached its maximum at -50mV. However, since the potential was not clamped evenly during the voltage step, current-voltage(I-V) relationship might be positively shifted 10 or 20mV. From the steady-state currents plotted in the I-V curve, outward rectification was markedly observed. Peak inward currents$(i_{in})$ at -50mV were $-0.62{\pm}0.23nA$(n=4),$-0.52{\pm}0.25nA$(n=5) and $-0.37{\pm}0.25nA$(n=6), in the 1-cell stage, 2-cell stage fertilized eggs and in the unfertilized eggs, respectively. Pure inward current (difference between steady-state and peak, $i_{in. pure}$) were $-1.01{\pm}0.23nA$, $-0.69{\pm}0.43nA$ and $-0.68{\pm}0.29nA$, respectively in the 1-cell stage fertilized eggs, unfertilized eggs and 2-cell stage fertilized eggs. These results suggested that the outward current in fertilized eggs of 2-cell stage was more increased than those in the unfertilized eggs. Pure inward currents in the all stages of eggs showed a similar fashion in the I-V relationship from -50mV to 50mV and reversal potential at 50mV. Time constant of inactivation$({\tau})$ in the inward current was decreased as the membrane potential was depolarized in the unfertilized and 2-cell stage eggs but in the 1-cell stage eggs t was not likely to be affected significantly. Slope conductances were 14.2nS, 8.9n5 and 7.7nS in the 1-cell, 2-cell stage fertilized eggs and the unfertilized eggs, respectively. Membranes between two cells within a zona pellucida seem to be electrical-connected in the 2-cell stage eggs from the observation made in the analysis for the electronic spread and decay to the current stimuli. Both of inward current and membrane conductance were increased after fertilization in the mouse eggs. Inward current seems to be carried by the same ion or through the same channels up to the 2-cell stage and ion that carried inward current was thought to play important function after fertilization in the mouse eggs.

• 대한수의학회지
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• 제41권2호
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• pp.243-252
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• 2001

Milk constituents and somatic cell count (SCC) were analysed for 4,059 milk samples from 178 dairy farms from April to December in 1999. Correlations among each milk constituents, milk urea (MU) concentration and SCC in association with lactation stage, milk yield and parity, and balancing status of nutrients' supplies were analysed, and the results are summarized as follows; Averages of milk fat percent, total solids percent and milk yield were $3.72{\pm}0.91%$, $12.50{\pm}1.31%$ and $23.80{\pm}8.54kg$, respectively, whereas those were significantly lower during the summer season. In contrast, average of MU concentration was $0.0361{\pm}0.0006%$ which was significantly higher during the summer season. With milk yield, concentrations of fat, protein and SCC in milk decreased but concentrations of lactose and urea in milk and body condition score (BCS) were not altered. Concentrations of fat, protein, lactose, total solids, SNF, and urea in milk were significantly affected by stage of lactation ($P{\leq}0.0001$) but SCC was not changed. Parity of dairy cows had a significant effect on concentrations of fat ($P{\leq}0.02$), lactose ($P{\leq}0.0001$), total solids ($P{\leq}0.002$), and SNF ($P{\leq}0.0001$) in milk and milk yield ($P{\leq}0.0005$) but did not change concentrations of urea and protein in milk. Somatic cell count had significant positive correlationship with percentages of fat, protein and total solids ($P{\leq}0.0001$), respectively, but had negative correlationship with percentages of urea and lactose in milk and milk yield ($P{\leq}0.0001$). Milk urea concentration was negatively correlated with concentrations of protein, fat, total solids, and SNF in milk and milk yield ($P{\leq}0.0001$) and, according to regression analysis using milk urea concentration and SCC, following equation was obtained; $Y(MU)=3.688{\times}10^{-2}-4.04{\times}10^{-7}{\times}X(SCC{\times}1,000)(r^2=0.0038$, $P{\leq}0.0001$). We studied balance between protein and energy supplies to dairy cows in each farm based upon milk urea and protein concentrations, and results showed that 137 of total 178 farms fed cows unbalanced amounts of dietary protein and energy.

• 한국농림기상학회지
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• 제2권4호
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• pp.175-182
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• 2000

표준관측소의 점 단위 기온 관측 및 예보값을 농업분야에서 활용하기 위해서는 공간내삽이 필요한 경우가 많지만 기후학적 평년값 같은 장기간의 평균값 내삽과는 달리 지형효과를 반영하기 어려워 거리역산가중법이 수정 없이 사용되고 있다. 우리 나라처럼 지형이 복잡한 산악지역에서는 수평 거리에만 의존한 내삽 결과에 심각한 오류가 포함될 수 있으므로, 영농지원 정보로서 중요한 일 최저기온을 대상으로 추정오차의 최대근원인 해발고도의 영향을 보정 할 수 있는 간단한 공간내삽모형을 작성하였다. 먼저 남한 육지 상에 위치한 63개 표준관측소에서 수집된 일 최저기온자료와 관측소의 위치, 해안으로부터 거리, 경사향, 표고 등 국지기온 결정인자를 회귀분석 하여 표고에 따른 기온감율 추정식을 날짜의 함수로 표현하였다. 63개 관측점의 표고값을 공간내삽 하여 재구성한 전국의 가상 지형으로부터 1 km$\times$ 1 km 공간단위의 전국 수치고도값 편차를 계산하고, 여기에 해당 날짜의 기온감율을 적용하여 보정값을 계산한다. 기존의 거리역산가중법에 의한 기온추정값을 이 보정값에 의해 수정함으로써 최종 기온값을 얻는다. 임의로 선발된 1999년의 월별 하루씩 총 12일에 대하여 이 모형과 기존 거리역산가중법을 각기 적용하여 267개 자동기상관측지점의 일 최저기온을 추정한후 실측값과 비교하였다 오차평균, 절대오차평균, 그리고 평방근오차평균 등 세가지 추정오차를 분석한 결과 이 방법이 거리역산가중법에 비해 산악지역에서의 일 최저기온 추정에 있어 뚜렷한 개선효과를 보였다.

• 대한수의학회지
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• 제5권1호
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• pp.61-96
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• 1965

Observations were made on the blood picture of total 196 heads of healthy Korean cattles, including 98 males and 98 females in the purpose of determination of hematological values and its sex difference, and seasonal variations during one year period from December 1963 to November 1964. The blood sampling were scheduled by random in four different seasons and the sample size of both sex included in each season were designated to be same size. The ranges, averages or mean values of the erythrocytes, hemoglobin, hematocrit, mean corpuscular hemoglobin concentration, total white blood cell count and differential count were determined in this studies and their respective standard deviation, standard error of means, sex defferences and seasonal variations were as follows; 1. The erythrocyte count of male showed a range of $5.0{\times}10^6/c.mm$ to $8.75{\times}10^6/c.mm$ with a mean of $6.5{\pm}0.096{\times}10^6/c.mm$. Female showed a range of $5.0{\times}10^6/c.mm$ to $8.30{\times}10^6/c.mm$, with a mean of 6. $131{\pm}0.078{\times}10^6/c.mm$. There was a highly significant sex difference and seasomal variation was not found to be significant. 2. The hemoglobin value of male showed a range of 9.0g/100cc. to 14.5g/100cc. with a mean of $11.074{\pm}0.143g/100cc$. Female showed a range of 9.0g/100cc to 13.0g/100cc. with a mean of $10.745{\pm}0.034g/100cc$. There was a highly significant sex difference and seasonal variation was not found to be significant. 3. The hematocrit value of male showed a range of 28% to 45% and with a mean of $34.867{\pm}0.468%$. Female showed a range of 28% to 42% with a mean of $32.888{\pm}0.322%$. There was a highly significant sex difference and seasonal variation was not found to be significant. 4. The mean corpuscular hemoglobin of male showed a range of 14.4rr. to 19.6rr. with a mean of $17.1{\pm}0.112rr$. Female showed a range of 14.7rr. to 19.5rr. with a mean of $17.6{\pm}0.113rr$. 5. The mean corpusular volume of male showed a range of $42.5{\mu}^3$ to $62.2{\mu}^3$ with a mean of $53.9{\pm}0.419{\mu}^3$, Female showed a range of $44.2{\mu}^3$ to $60.0{\mu}^3$ with a mean of $53.8{\pm}0.375{\mu}^3$. 6. The mean corpuscular hemoglobin concentration of male showed a range of 28.1 % to 34.9% with a mean of $31.4{\pm}0.161%$. Female showed a range of 28.0% to 34.9% with a mean of $30.9{\pm}0.169%$. 7. The total leucocyte count of male showed a range of 4,000/c.mm to 13,100/c.mm. with a mean of $9,338{\pm}218.23/c.mm$. Female showed a range of 4,000/c.mm. to 14,000/c.mm. with a mean of $9,338{\pm}235.90/c.mm$. Six difference was not found to be significant and there was a highly significant seasonal variation. 8. The differential count of male, the means of neutrophil, stab, segmented cell, Iymphocyte, monocyte, eosinophil and basophil were $31.173{\pm}0.570%$, 0.3%. $30.867{\pm}0.564%$, $55.112{\pm}0.603%$, $3.745{\pm}0.082%$, $9.867{\pm}0.422%$ and 0.14% rspectively. Female showed means of $31.010{\pm}0.572%$, 0.2%, $30.806{\pm}0.569%$, $53.929{\pm}0.634%$, $4.082{\pm}0.109%$, $10.908{\pm}0.503%$ and 0.12% respectively. There were significant sex differences in monocyte and highly significant sex difference in eosinophil, and seasonal variation were found to be highly significant in neutrophil, monocyte and eosinophil. 9. Hematological comparison made between cattles infested with so called "small type piroplasma" and non-infested group. The result of investigation showed no significant difference upon the red blood cell, hemoglobin and hematocrit values between lighty infested group and non-infested group. 10. Age distribution of test group in this study ranged from 2 years to 6 years in both sex and their average age were $4.45{\pm}0.114$(male) and $4.50{\pm}0.116$(female). There found to be no significant sex difference and seasonal variations in the age of test group.

• 한국농림기상학회지
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• 제2권2호
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• pp.47-61
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• 2000

북한 시ㆍ군별 벼 생육모의결과를 토대로 벼 재배 적합성 여부를 판정하였다. 생육모의에 필요한 시ㆍ군 별 일 기상자료는 지형기후학적 공간내삽기법을 근거로 한 3단계 과정을 통해 생산하였다. 우선 기온의 경우 51개 남북한 표준관측소의 14년간(1981~1994) 월평균값을 관측지점 위도, 해발고도, 해안거리, 경사도, 개방도 등 지리지형변수에 회귀시켜 얻은 통계모형(RMSE=0.4~1.6$^{\circ}C$)을 북한전역에 적용시켜 1 km$\times$1 km수평 격자점 단위로 월별 평균값을 추정하였다. 강수량의 경우 상대적으로 자료가 풍부한 남한의 지형-강수 관계를 도출하여 이를 북한지방에 적용한 윤 (2000)의 방법에 의해 월별 강수량 분포도를 작성하였다. 일사량의 경우 남한 19개 관측소의 14년간(1984~1997) 월 평균 수평면 전천일사량 관측값의 추정식([일사량, MJ m$^{-2}$ day$^{-1}$)=0.344+0.4756[대기외 일사량]+0.0299[남쪽 개방도]-1.307[운량]-0.01[상대습도], 결정계수 0.92, RMS error 0.95)에 의해 북한 지방 27개 지점의 일사량 자료를 복원하였다. 이를 거리역산가중법으로 공간내삽하여 북한전역의 월별 일사량 분포도를 작성하였다. 두 번째 단계에서는 얻어진 1 km$\times$1km 격자점 기후값을 183개 북한 시ㆍ군별로 공간평균값을 취했다. 마지막으로 시ㆍ군 단위 월별 기후값을 이용하여 통계적인 방법 (Pickering et al., 1994)에 의해 30년간의 일별 기상자료를 생성하였다. 북한의 대표적인 벼 품종 생육조사자료를 토대로 CERES-rice 모형의 유전적 모수를 조정하고, 준비된 기상자료를 입력시켜 183개 시ㆍ군별 벼의 생육을 30년치씩 모의하였다. 생육모의결과 중 성숙기와 수량 관련 특성을 점수화 하여 각 시ㆍ군의 벼 재배용 농업기후학적 잠재력을 정량적으로 표현하였다.