• Korean Journal of Soil Science and Fertilizer
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• v.44 no.2
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• pp.176-180
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• 2011

Rice production depended on the weed control. The purpose of this study was conducted to evaluate the influence of tillage with chemical amendments + 5 cm flooded, no-tillage without Chinese milk vetch + 5 cm flooded (NTNT 5 cm), no-tillage amended with Chinese milk vetch + 5 cm flooded (NTCM 5 cm), and no-tillage amended with Chinese milk vetch + 10 cm flooded (NTCM 10 cm) on weed occurrence and yield of rice in paddy. Triplicate experimental plots were laid out in a randomized complete block design and compared by employing least significant difference. The dry weights of weeds in NTCM 5 cm and NTCM 10 cm were 11% and 4% level of NTNT 5 cm (p<0.05) and were 3.2 times and 1.2 times more than in conventional tillage system. In addition, the Aneilema keisak and Ludwigia prostrata were significantly increased in NTNT 5 cm (p<0.05). The yield of rice grain in NTCM 10 cm was 2.6 times more than in NTNT 5 cm and was 89% level of conventional tillage system. Our findings suggest that NTCM 10 cm should be enhance of weed control as well as improving of yield of rice in paddy.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.4
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• pp.475-478
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• 2005

This study was conducted to evaluate feeding value of berseem and lucerne silage as a replacement for conventional fodder (berseem fodder) in lactating Nili buffaloes. Fifteen early lactating multi-parous Nili buffaloes, five buffaloes in each group were allotted three experimental diets. Berseem and lucerne fodders were ensiled at 30% DM (wheat straw was used to adjust the DM of fodders) with molasses (at the rate of 2% of fodder DM) in two bunker silos for 30 days. The diets contained 75% DM from berseem fodder (BF), 75% DM from berseem silage (BS) and 75% DM from lucerne silage (LS). Each diet contained 25% concentrate DM. Diets were mixed daily and fed twice a day at ad libitum intakes. Dry matter intake (DMI) was significantly higher (13.8 kg/d) in buffaloes fed BF diet than those fed LS (12.5 kg/d) and BS (11.9 kg/day) diets. The differences in digestible DMI and DMI as percent body weight were significant between fodder and silage based diets but non-significant when BS and LS were compared. Lower DMI with silage-based diets was probably because of low silage pH. Intake of NDF (NDFI) was higher (5.68 kg/d) in buffaloes fed BF diet followed by those fed LS (5.50 kg/d) and BS (5.00 kg/d) diets. The difference was significant (p<0.05) across fodder and silage based diets but NDFI was non-significant across both silage-based diets. The apparent DM digestibility was significantly different (p<0.05) between fodder and silage-based diets but was non-significant between LS and BS diets. Four percent fat corrected milk yield was significantly different (p<0.05) between fodder and silage-based diets but was non-significant between LS and BS diets. Higher milk yield with fodder based diet was because of more digestible nutrient intake (Table 3) compared with silage based diets. Milk CP, TP and NPN and SNF did not show any treatment effects. The present results indicated that the berseem and lucerne fodder ensiled at 30% DM level with 2% molasses could safely replace (75% DM) the conventional leguminous fodder in the diets of lactating Nili buffaloes.

• Asian-Australasian Journal of Animal Sciences
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• v.30 no.11
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• pp.1550-1556
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• 2017

Objective: This study estimated the genetic parameters for productive and reproductive traits. Methods: The data included production and reproduction records of animals that have calved between 1979 and 2013. The genetic parameters were estimated using multivariate mixed models (DMU) package, fitting univariate and multivariate mixed models with average information restricted maximum likelihood algorithm. Results: The estimates of heritability for milk production traits from the first three lactation records were $0.03{\pm}0.03$ for lactation length (LL), $0.17{\pm}0.04$ for lactation milk yield (LMY), and $0.15{\pm}0.04$ for 305 days milk yield (305-d MY). For reproductive traits the heritability estimates were, $0.09{\pm}0.03$ for days open (DO), $0.11{\pm}0.04$ for calving interval (CI), and $0.47{\pm}0.06$ for age at first calving (AFC). The repeatability estimates for production traits were $0.12{\pm}0.02$, for LL, $0.39{\pm}0.02$ for LMY, and $0.25{\pm}0.02$ for 305-d MY. For reproductive traits the estimates of repeatability were $0.19{\pm}0.02$ for DO, and to $0.23{\pm}0.02$ for CI. The phenotypic correlations between production and reproduction traits ranged from $0.08{\pm}0.04$ for LL and AFC to $0.42{\pm}0.02$ for LL and DO. The genetic correlation among production traits were generally high (>0.7) and between reproductive traits the estimates ranged from $0.06{\pm}0.13$ for AFC and DO to $0.99{\pm}0.01$ between CI and DO. Genetic correlations of productive traits with reproductive traits were ranged from -0.02 to 0.99. Conclusion: The high heritability estimates observed for AFC indicated that reasonable genetic improvement for this trait might be possible through selection. The $h^2$ and r estimates for reproductive traits were slightly different from single versus multi-trait analyses of reproductive traits with production traits. As single-trait method is biased due to selection on milk yield, a multi-trait evaluation of fertility with milk yield is recommended.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1249-1258
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• 2015

DGAT1(diacylglycerol O-acyltransferase1) gene is well known as a major gene of milk production in dairy cattle. This study was conducted to investigate how the DGAT1 gene effect on milk yield was appeared from the genome wide association (GWA) using high density whole genome SNP chip. The data set used in this study consisted of 353 Korean Holstein sires with 50k SNP genotypes and deregressed estimated breeding values of milk yield. After quality control 41,051 SNPs were selected and locations on chromosome were mapped using UMD 3.1. Bayesian regression of BayesB method (pi=0.99) was used to estimate the SNP effects and genomic breeding values. Percentages of variance explained by 1 Mb non-overlapping windows were calculated to detect the QTL region. As the result of this study, top 1 and 3 of 2,516 windows were seen around DGAT1 gene region and 0.51% and 0.48% of genetic variance were explained by these two windows. Although SNPs on the DGAT1 gene region are excluded in commercial 50k SNP chip, the effect of DGAT1 gene seem to be reflected on GWA by the SNPs which are in linkage disequilibrium with DGAT1 gene.

• Journal of Animal Science and Technology
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• v.46 no.3
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• pp.373-386
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• 2004

This study was conducted to investigate effects of the brown seaweed residues supplementation on in vitro fermentation, and milk yield and milk composition of dairy cows. Therefore, two experiments consisting of an in vitro and an in vivo growth trial were used. In in vitro experiment, brown seaweed residues(BSR) was supplemented in basal diet with 0, 1, 2 and 4% respectively, and incubated for 3, 6, 9, 12, and 24 h. The pH value, ammonia-N and VFA were investigated. The pH value tended to increase with increasing BSR during the incubation. Particularly, pH was significantly higher in BSR treatments compared with control at 9 h(p < 0.05). While, ammonia-N concentration was not significantly different across treatments during the whole incubation. BSR supplementation did not affect total VFA production, but acetate was linearly increased in BSR treatments compared with control at 12 h(p < 0.05), and its concentration was highest(92.70 mM) in 4% BSR among treatments. The concentration of iso-butyrate tended to increase in BSR treatments in comparison to control during the incubation. In addition, the concentration of iso-valerate was higher in BSR treatments compared with control at 12 and 24 h. In growth trial, BSR was added(800 g/d/animaI) to diets of dairy cow. Dry matter intake was not affected by BSR supplementation, but daily milk yield(kg) significantly increased in BSR treatment compared with control(p < 0.05). However, milk composition(%) and milk yield(kg) were not significantly different between treatments. Milk fat(% and kg/d) tended to slightly decrease in BSR treatment compared with control(3.59% and 1.06 kg/d vs. 3.32% and 1.01 kg/d), The contents of C16:0 and C20:4 in milk significantly increased in BSR treatment compared with control reflecting from dietary fatty acid composition. The content of C18:0 in milk which is end product of biohydrogenation of CI8 unsaturated fatty acids in the rumen significantly increased in BSR treatment compared with control(p < 0.05). C18:2 content in milk tended to decrease, but tended to increase trans-II C18:l and CLA contents in milk in BSR treatment compared with control. In conclusion, it could be summarized that BSR may stabilize rumen pH, and it could improve milk yield and CIA content in milk with more than 4% of diet. Therefore, BSR could be beneficially used in dairy diets as a feed additive.

• Asian-Australasian Journal of Animal Sciences
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• v.33 no.11
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• pp.1858-1865
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• 2020

Objective: The microbiota of dairy cow milk varies with the season, and this accounts in part for the seasonal variation in mastitis-causing bacteria and milk spoilage. The microbiota of the cowshed may be the most important factor because the teats of a dairy cow contact bedding material when the cow is resting. The objectives of the present study were to determine whether the microbiota of the milk and the cowshed vary between seasons, and to elucidate the relationship between the microbiota. Methods: We used 16S rRNA gene amplicon sequencing to investigate the microbiota of milk, feces, bedding, and airborne dust collected at a dairy farm during summer and winter. Results: The seasonal differences in the milk yield and milk composition were marginal. The fecal microbiota was stable across the two seasons. Many bacterial taxa of the bedding and airborne dust microbiota exhibited distinctive seasonal variation. In the milk microbiota, the abundances of Staphylococcaceae, Bacillaceae, Streptococcaceae, Microbacteriaceae, and Micrococcaceae were affected by the seasons; however, only Micrococcaceae had the same seasonal variation pattern as the bedding and airborne dust microbiota. Nevertheless, canonical analysis of principle coordinates revealed a distinctive group comprising the milk, bedding, and airborne dust microbiota. Conclusion: Although the milk microbiota is related to the bedding and airborne dust microbiota, the relationship may not account for the seasonal variation in the milk microbiota. Some major bacterial families stably found in the bedding and airborne dust microbiota, e.g., Staphylococcaceae, Moraxellaceae, Ruminococcaceae, and Bacteroidaceae, may have greater influences than those that varied between seasons.

• Asian-Australasian Journal of Animal Sciences
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• v.30 no.3
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• pp.363-369
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• 2017

Objective: The current study compared the effects of dietary levels of two phase stoned olive cake (OC) in form of silage (OCS) on milk production and quality of Saanen goats. Methods: The OCS included in total mixed ration (TMR) at dry matter proportions of 0.0 (OC0), 0.10 (OC10), and 0.20 (OC20). The TMR were fed to a total of 18 goats in a completely randomized design for a period of 5 weeks. Results: Dietary treatments had no effect on the milk yield of Saanen goats, but the daily milk fat production was greater (p<0.05) at feeding OC20. The total phenolic (TP) compounds contents increased (p<0.01) in each increment of OCS in TMR and this was also reflected in the TP contents of milk. The C8:0, C10:0, C12:0, and C14:0 saturated fatty acids (FAs) in milk fat decreased (p<0.01) with increasing dietary level of OCS, but the decrease (p<0.001) in C16:0 and the increase (p<0.01) in C18:0 in milk fat occurred similarly at each inclusion level of OCS. Only OC20 reduced (p<0.05) the total saturated FA, yet the reduction (p<0.01) in n6/n3 ratio and atherogenicity index occurred in both OC10 and OC20. Conclusion: Two phase stoned OCS increases milk quality not only through modifying the milk FA composition, but also by increasing the milk TP content. These favorable changes in milk quality are closely associated with the dietary level of OCS.

• Journal of Veterinary Clinics
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• v.24 no.2
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• pp.119-124
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• 2007

Milk components analysis was carried out milk yield(MY), milk fat(MF), milk protein(MP), milk urea nitrogen(MUN), milk solid(MS), day of non-pregnant condition(DNPC), and days of primipara(DPRI) involved. Dairy farms were divided high, middle and low groups according to the standard records for milk components. Examination records were divided by farm, parity, year, season and month, the number of samples were 28,957. MUN concentration was below 12 mg and when the MPP was below 3.0%, the days of non-pregnant condition were $94{\pm}10.77$ days but concentration of MUN was under 12 mg and when MPP was above 3.2%, longer period of non-pregnant condtion of $181.3{\pm}9.25$ was noted. The days of gestation of the first calving cow was $495.9{\pm}9.04$ days when the concentration of MUN was below 12mg/dl and MPP was under 3.0%. If the concentration of MUN was 12 mg/dl and when the MPP was over 3.2%, the days of gestation were $511.0{\pm}8.36$ days. It was believed that the concentrations of MPP and MUN have significant effects on the days of non-pregnant condition and the days of gestation. Determination of MY, MF, MS, and MUN was Milkoscan $4,000{\sim}5,000$ Serier(FOSS Electric Co., Copenhagen, Denmark). MUN standard concentration was 12-18(mg/dl) similar to blood urea nitrogen(BUN). Mutual relationship of milk components(MF, SCC, MY, DNPC, MS) and MUN concentration was low in regression analysis.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.5
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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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• v.26 no.7
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• pp.911-915
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• 2013

The aim of this study was to investigate allele frequencies at the CSN1S2 locus in two Chinese dairy goat breeds and the effects of its variation on dairy goat economic traits. Seven hundred and eight goats from Xinong Saanen (XS, n = 268) and Guanzhong (GZ, N = 440) breeds were selected. The milk samples of 268 XS goats were collected during the middle of lactation, body size parameters (708 goats) and daily milk yield (202 goats) were registered. The RFLP (restriction fragment length polymorphism) and SSCP (single strand conformation polymorphism) were used to detect the polymorphisms in CSN1S2. The Hardy-Weinberg (HW) equilibrium and the associations between body size, milk yield and composition and the genotypes were calculated. The results revealed that only A and F CSN1S2 alleles were found in the two Chinese dairy goat breeds. Allelic frequencies of A and F were 0.795, 0.205 and 0.739, 0.261 in Xinong Saanen and Guanzhong population respectively. Xinong Saanen breed was in Hardy-Weinberg equilibrium, while Guanzhong breed deviated from Hardy-Weinberg equilibrium (p<0.05). The association of polymorphism with economic traits indicated that the goats with FF genotype have higher milk fat and total solid concentration than those with AA and AF genotypes (p<0.05).