• Asian-Australasian Journal of Animal Sciences
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• 제31권5호
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• pp.636-642
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• 2018

Objective: The objective of this study was to estimate genetic parameters of milk, fat, and protein yields within and across lactations in Tunisian Holsteins using a random regression test-day (TD) model. Methods: A random regression multiple trait multiple lactation TD model was used to estimate genetic parameters in the Tunisian dairy cattle population. Data were TD yields of milk, fat, and protein from the first three lactations. Random regressions were modeled with third-order Legendre polynomials for the additive genetic, and permanent environment effects. Heritabilities, and genetic correlations were estimated by Bayesian techniques using the Gibbs sampler. Results: All variance components tended to be high in the beginning and the end of lactations. Additive genetic variances for milk, fat, and protein yields were the lowest and were the least variable compared to permanent variances. Heritability values tended to increase with parity. Estimates of heritabilities for 305-d yield-traits were low to moderate, 0.14 to 0.2, 0.12 to 0.17, and 0.13 to 0.18 for milk, fat, and protein yields, respectively. Within-parity, genetic correlations among traits were up to 0.74. Genetic correlations among lactations for the yield traits were relatively high and ranged from $0.78{\pm}0.01$ to $0.82{\pm}0.03$, between the first and second parities, from $0.73{\pm}0.03$ to $0.8{\pm}0.04$ between the first and third parities, and from $0.82{\pm}0.02$ to $0.84{\pm}0.04$ between the second and third parities. Conclusion: These results are comparable to previously reported estimates on the same population, indicating that the adoption of a random regression TD model as the official genetic evaluation for production traits in Tunisia, as developed by most Interbull countries, is possible in the Tunisian Holsteins.

• Asian-Australasian Journal of Animal Sciences
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• 제13권5호
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• pp.580-586
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• 2000

Data collected between 1981 and 1991 at the Philippine Carabao Center at Central Luzon State University (PCC-CLSU) were used for the comparison of growth, milk yield and draughtability of Murrah-Philippine crossbred and Philippine native buffaloes. Body weights and body measurements were available at 3-month intervals from birth to 36 months of age for a total of 34 $Murrah{\times}Philippine$ native buffalo F1 crossbreds (CBB; 21 cows, 13 bulls) and 32 Philippine native buffaloes (PNB; 16 cows, 16 bulls). Lactation records were available for 14 CBB and 19 PNB cows. Data for draughtability under wet and dry ploughing conditions were available for 4 CBB and 4 PNB steers. The results indicate that crossbreds grow faster (0-9 months of age: cows $442{\pm}19$ vs. $301{\pm}21g/day$, bulls $305{\pm}23$ vs. $296{\pm}21g/day$; 9-36 months of age: cows $227{\pm}10$ vs. $147{\pm}12g/day$, bulls $282{\pm}13$ vs. $138{\pm}12g/day$), mature earlier and produce more milk (1st lactation: $1139{\pm}153$ vs. $450{\pm}112kg$; 2nd lactation: $1115{\pm}132$ vs. $488{\pm}136kg$) than native buffaloes, but have a poorer draughtability (wet ploughing; force as % of body weight $8.8{\pm}0.2$ vs. $12.2{\pm}0.6$; dry ploughing: cut depth $10.98{\pm}0.25$ vs. $11.92{\pm}0.13cm$, velocity $0.50{\pm}0.03$ vs. $0.60{\pm}0.02m/sec$, force as % of body weight $9.0{\pm}0.6$ vs. $11.3{\pm}0.7$). The correlation coefficients between body weight and body measurements at birth and at 3-month intervals indicate that heart girth has a relatively high correlation with body weight, especially in crossbreds. It is concluded that in Philippine smallholder farming systems in which meat and milk production are secondary to draught power, the native buffalo is preferable from the point of view of input needed to maintain the number of animals kept for a required draught force.

• Journal of Animal Science and Technology
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• 제55권1호
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• pp.1-6
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• 2013

본 연구는 국내 국가단위 평가결과의 문제점을 해결하면서 유전 능력평가시스템을 고도화하고 우리나라가 국제유전평가에 참여하기 위하여 국제평가기구에서 요구하는 검증작업을 통과하기 위하여 수행하였다. 본 연구에 이용된 자료는 농협중앙회 젖소개량부에서 수집한 분만일이 2001년부터 2009년까지의 검정성적으로 총 1,416,589개이며 산차는 5산으로 제한하였으며, 누적착유일은 75~305일로 제한하였고, 전체 혈통자료는 2,279,741개이며 부모를 갖는 개체는 535,409개이고 아비소는 2,467두로 구성되어 있는 기록들을 이용하였다. 유량, 유지방, 유단백에 대한 육종가는 신규로 개발한 다형질모형(Multiple traits model)을 이용하여 육종가를 구하였으며 기초작업은 SAS version 9.2와 R프로그램을 이용하였으며 유전모수를 추정하기 위하여 VCE 6.0을 이용하였다. 전반적으로 유전적 추세는 꾸준히 지속되어 오고 있으며 산차별 차이가 두드러지게 나타나지는 않았다. 유지방을 제외하고 유량과 유단백 형질의 추세가 잘 추정되었음을 알 수 있다. 유전평가분석결과 상위 1000두의 랭킹안에 최근의 생년을 갖는 딸소가 기존에 사용한 모수로 분석한 결과보다 딸소가 증가했음을 알 수 있다. 국제유전평가모형을 통해 새로 평가한 결과 씨수소상위 100두를 기존 평가모형에 의한 평가결과와 비교했을 때, 2006년생은 23두에서 28두로 2007년생은 12두에서 20두로 2008년생은 2두에서 8두로 증가하였다. 이는 최근의 딸소나 씨수소의 유전능력이 우수함에도 불구하고 상위에 랭크되지 못했던 결과가 새 모형의 적용으로 보완하여 새로운 평가분석에 적용할 수 있을 것으로 판단된다. 따라서 기존의 단형질 모형 대신 다형질 모형을 이용한 분석방법으로 평가를 실시하고 국제유전평가에도 다형질 모형을 이용한 육종가를 제시함으로써 다형질 선발의 정확도가 향상될 수 있을 것이다.

• Asian-Australasian Journal of Animal Sciences
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• 제7권3호
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• pp.383-387
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• 1994

Six heifers each of $F_1$, $F_2$, $F_3$, $F_4$ H. Friesian $\times$ Sahjwal halfbreds and pure Sahiwal with overall average initial age and live weight of $315.6{\pm}134.8 days$ and $143.8{\pm}48.5kg$, respectively were used for this study. The under trial animals were fed according to N.R.C. (1978). The overall average age at maturity, first conception and first calving was $563.8{\pm}116.8$, $675.8{\pm}135.6$ and $956.8{\pm}149.8days$ with live weights as $302.2{\pm}58.6$, $342.6{\pm}41.5$ and $433.9{\pm}38.1kg$, respectively. The overall 305 days and total milk yield for 1st lactation was $2,729.0{\pm}669.3$ and $2,992.7{\pm}377.5litre$ while the FCM (at 4%) was $2,934.2{\pm}410.8litre$. The lactation length was $336.6{\pm}69.6days$. The fat and solids not fat contents were $4.5{\pm}0.2$ and $8.2{\pm}0.3percent$, respectively. The milk production in Sahiwal cows was significantly lower than crossbred cows. The services per conception were $2.5{\pm}1.3$. The overall per head per day consumption of DM, TCP and ME was $10.9{\pm}1.2kg$, $1,399{\pm}199gm$ and $22.6{\pm}2.4 M.Cal.$, respectively. The overall milk producing efficiency for the production of one litre of FCM was $1.12{\pm}0.15kg$ of DM, $142.2{\pm}17.76gm$ of TCP and $2.31{\pm}0.27M.Cal.$ of energy while the feeding cost was Rs. $1.46{\pm}0.22$ per litre of FCM produced. The feeding cost per litre FCM was significantly higher in Sahiwal and $F_2$ than in other genetic groups.

• Asian-Australasian Journal of Animal Sciences
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• 제24권8호
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• pp.1031-1040
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• 2011

The objective of this study was to characterize factors influencing genetic improvement of dairy cattle for milk production at farm level. Data were accumulated from 305-day milk yields and pedigree information from 1,921 first-lactation dairy cows that calved from 1990 to 2007 on 161 farms in Central Thailand. Variance components were estimated using average information restricted maximum likelihood procedures. Animal breeding values were predicted by an animal model that contained herd-year-season, calving age, and regression additive genetic group as fixed effects, and cow and residual as random effects. Estimated breeding values from cows that calved in a particular month were used to estimate genetic trends for each individual farm. Within-farm genetic trends (b, regression coefficient of farm milk production per month) were used to classify farms into 3 groups: i) farms with negative genetic trend (b<-0.5 kg/mo), ii) farms with no genetic trend (-0.5 kg/$mo{\leq}b{\leq}0.5$ kg/mo), and iii) farms with positive genetic trend (b>0.5 kg/mo). Questionnaires were used to gather information from individual farmers on educational background, herd characteristics, farm management, decision making practices, and opinion on dairy farming. Farmer's responses to the questionnaire were used to test the association between these factors and farm groups using Fisher's exact test. Estimated genetic trend for the complete population was $0.29{\pm}1.02$ kg/year for cows. At farm level, most farms (40%) had positive genetic trend ($0.63{\pm}4.67$ to $230.79{\pm}166.63$ kg/mo) followed by farms with negative genetic trend (35%; $-173.68{\pm}39.63$ to $-0.62{\pm}2.57$ kg/mo) and those with no genetic trend (25%; $-0.52{\pm}3.52$ to $0.55{\pm}2.68$ kg/mo). Except for educational background (p<0.05), all other factors were not significantly associated with farm group.

• Asian-Australasian Journal of Animal Sciences
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• 제17권1호
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• pp.1-6
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• 2004

The 490 and 380 performance records of Karan Fries and Karan Swiss cows developed through crossbreeding followed by inter-se mating were evaluated for production, reproduction performance and disposal rate. Duration of study (1982-92) was grouped into five periods (1982-83; 1984-85; 1986-87; 1988-89; 1990-92) and each year was divided into four seasons (Winter: Dec.-Jan.; Spring: Feb.-March; Summer: April-June; Rainy: July-Sept.; Autumn: Oct.-Nov). Data were also classified according to sire and level of inbreeding. The least squares means of FLY (first lactation yield -305 days), FLL (first lactation length), FSP (first service period), FDP (first dry period), FCI (first calving interval ), MY/FLL (milk yield per day of first lactation length), MY/FCI (milk yield per day of first calving interval), EBV (expected breeding value) and EBE (expected breeding efficiency) were $3,173{\pm}82$ kg, $34611{\pm}$days, $143{\pm}11$ days, $75{\pm}6$ days, $423{\pm}11$ days, $10.6{\pm}0.2$ kg, $8.9{\pm}0.2$ kg, $3,380{\pm}26$ kg, and $88.2{\pm}1.3$% respectively in Karan Fries. Corresponding estimates in Karan Swiss cows were $2,616{\pm}82$ kg, $328{\pm}8$ days, $148{\pm}12$ days, $103{\pm}9$ days, $435{\pm}13$ days, $8.9{\pm}0.2$ kg, $7.2{\pm}0.3$ kg, $2,924{\pm38}$ kg and $86.0{\pm}3.8$% respectively. The effect of sire was significant on FLY, MY/FLL, MY/FCI and EBV in both the herd (p<0.01). The 10 and 15% sires showed superiority (FLY) over herd average of 11 and 7% in Karan Fries and 32 and 21% in Karan Swiss cattle respectively. Inbreeding has adversely and significantly (p<0.05) affected the FLY, MY/FLL, MY/FCI and survivability of Karan Fries females; FDP and disposal through culling of Karan Swiss heifers. The Karan Fries heifers with inbreeding above 12.5% performed 16% lower FLY to herd average. The effect of season of calving was significant on FLL, FSP and FCI (p<0.05) in Karan Fries. Summer calvers ($361{\pm}12$) were have higher lactation length and autumn calvers ($329{\pm}14$) had minimum. Period of calving significantly influenced the FSP, FCI, MY/FLL and MY/FCI in Karan Fries and FLY, MY/FLL and MY/FCI in Karan Swiss. Production efficiency traits in Karan Fries herd witnessed higher yield in the last two periods whereas, Karan Swiss heifers showed fluctuating performance. The findings suggested judicious use of available genetic variability, keeping of inbreeding under safer level and managemental interventions for the consistent improvement of both herds.