Efficiency Of Milk Production Research Articles

Multi-attribute decision-making: Use of scoring methods to choose the best form of dietary fat supplement in pregnant Saanen goats.

Nutritional manipulation with functional nutrients like polyunsaturated fatty acids can boost milk production efficiency in dairy farming. It is important to consider the animal's physiological periods, especially the second half of the first pregnancy for mammary gland development. By considering multiple factors and comparing them, multi-attribute decision-making (MADM) can be utilized to conduct further assessments and select the best diet for the animals. Forty primiparous Saanen does, from the last 2 months of pregnancy up to 4 months of lactation, have been assigned to four iso-energetic and iso-nitrogenous diets. Four dietary groups included: no external sources of fat (negative control, CT), saturated palm oil (positive control), roasted soybeans (omega-6, SB) and extruded flaxseed (omega-3, FS). Twenty-two performance criteria such as feed intake, milk yield and composition, body weight, blood metabolites and hormones, the milk fatty acid profile, as well as morphological and histological measurements of the mammary gland, in the form of least-square means, were considered. A decision-making tool was used to select the best form of fat supplements in late pregnancy and early lactation diets, to improve lactation performance in Saanen goats. For this purpose, a MADM method was applied to determine the order of preference similarity to the ideal solution. According to the score of this method, the FS group had the highest coefficients (0.689), and the CT group had the lowest coefficients (0.281). Incorporating flaxseed into the diets of Saanen goats during late pregnancy and early lactation is a valuable strategy for enhancing milk performance. This supplement is recommended as a source of fat. Additionally, the implementation of decision-making tools, such as the MADM method in animal science, can significantly improve management decision-making processes by reducing both time and cost. This presents a new avenue for making well-informed decisions.

Nutrients intake, milk production, and production costs of dairy goats fed with high proportions of cactus cladodes genotypes Opuntia and Nopalea in association with different forage sources

This study aimed to evaluate the nutrient intake, milk production, and production costs of dairy goats fed diets containing the rations with cactus cladodes (Opuntia stricta or Nopalea cochenillifera) associated with silage (Sorghum bicolor) or Tifton hay (Cynodon spp). Twelve pluriparous Saanen and Anglo Nubiana goats (42.25 ± 5.48 kg) at eight weeks of lactation were used. Treatments lasted 60 days, consisting of four periods of 15 days, distributed in three Latin square (4×4) with four diets. The treatments represented by diets with different associated feed: SSOP (Sorghum Silage + Opuntia); THOP (Tifton hay + Opuntia); SSNO (Sorghum Silage + Nopalea); and THNO (Tifton hay + Nopalea), in addition to concentrate in all diets. There were differences (p < 0.05) for the intakes of DM, OM, with higher values observed for goats fed the diets THNO, THOP, and SSNO, and for CP, NDF and ADF were higher for THNO and SSNO diets. Similar behavior occurred for voluntary and total water intake. The milk production and feed efficiency did not differ (p > 0.05). Costs with food, milk revenue, and gross revenue were not influenced by diets (p > 0.05). The Opuntia or Nopalea cactus cladodes genotypes associated with sorghum silage or tifton hay can be used to feed dairy goats in the semiarid region.

Effect of monensin on milk production efficiency and milk composition in lactating dairy cows fed modern diets

Since the US Food and Drug Administration's approval of monensin in 2004, significant nutritional advances have been made to increase feed efficiency and milk fat production. Recent evidence suggests monensin's adverse effect on milk fat percentage may be absent when diets are formulated to address known diet-induced milk fat depression risk factors. Thus, study objectives were to evaluate effects of monensin level on dry matter intake (DMI), milk production and composition, and efficiency of high-producing cows fed diets formulated to optimize milk fat. Ninety-six lactating Holstein cows (36 primiparous, 60 multiparous; 106 ± 17 d in milk [DIM]) were balanced by parity, DIM, and milk production and were randomly assigned to 1 of 12 pens with 8 cows per pen. All cows received 11 g/t monensin for 5 wk after which pens received 1 of 4 dietary treatments (n = 3) formulated to provide 0 (CON), 11 (R11), 14.5 (R14.5), or 18 (R18) g/t monensin for 9 wk. The basal diet was 54% forage, 27% NDF, 29% starch, and 2.3% rumen unsaturated fatty acid load. Pen was the experimental unit and data were analyzed using the Fit Model Procedure of JMP. Effects of treatment, time, and treatment × time interaction were included as fixed effects and pen as a random effect. Least squares means were determined and linear and quadratic contrasts were tested. Dry matter intake tended to decrease linearly with increasing monensin dose. Milk yield, fat percentage, and protein percentage and yield were unaffected by treatment while fat yield was quadratically increased. Milk de novo and mixed fatty acid (FA) yields (g/d) increased quadratically with monensin whereas preformed FA linearly decreased during the experimental period. Energy-corrected milk (ECM) was quadratically increased by monensin. Milk urea nitrogen concentrations increased linearly with increasing monensin dose. Monensin linearly increased feed efficiency (ECM/DMI, 3.5% fat-corrected milk/DMI, and solids-corrected milk/DMI). Body weight gain did not differ between treatments. Estimated dietary energy tended to increase linearly with increasing monensin level. These data suggest monensin improves component-corrected milk production efficiency, estimated dietary energy, and does not negatively affect milk fat percentage or FA profile.

Effect of Different Feeding Methods on Milk Production and Composition of Lactating Punganur Cows

The present experiment was conducted during January–August, 2021 at Livestock Research Station, Palamaner, Chittoor, Andhra Pradesh, India to study the effect of different feeding methods on production performance in lactating Punganur cows. A lactation study of 90 days duration was conducted on 16 lactating Punganur cows which were distributed (CRD) into four treatment groups comprising of 4 animals each. Animals of Control group were maintained as per the feeding practice followed by the farmers rearing Punganur cows in Chittoor district (Hedge lucerne, Paddy straw and Concentrate mixture), T2 group fed with Super Napier grass Paddy straw and Concentrate mixture, T3 group fed with Paddy straw, concentrate mixture and UMMB and T4 group fed with TMR. The average FCM yield (kg d-1) was highest (p<0.05) in T4 followed by T3 or T2 and lowest in T1. The Protein and lactose content (%) of milk was highest (p<0.05) in T4 and lowest in T3, while Fat and SNF (%) remained unaltered. The efficiency of milk production (kg/kg FCM) of DMI and TDNI lowest (p<0.05) in T4, While CPI and DCPI lower (p<0.05) in T4 or T3 as compared to T2 or T1. The cost economics of milk production indicated that the feed cost (`) per kg FCM yield was lowest (p<0.05) in T3. The study concluded that the feed conversion efficiency in terms of DM, CP and Gross energy was highest for TMR group, while cost economics of milk production was better in Paddy straw, concentrate mixture, UMMB and TMR group.

Genetic parameters and genome-wide association studies for mozzarella and milk production traits, lactation length, and lactation persistency in Murrah buffaloes

Genetic and genomic analyses of longitudinal traits related to milk production efficiency are paramount for optimizing water buffaloes breeding schemes. Therefore, this study aimed to: 1) compare single-trait random regression models under a Single-step Genomic Best Linear Unbiased Prediction (ssGBLUP) setting based on alternative covariance functions (i.e., Wood - WD, Wilmink - WL, and Ali-and-Schaeffer - AS) to describe milk (MY), fat (FY), protein (PY), and mozzarella (MZY) yields, fat-to-protein ratio (FPR), somatic cell score (SCS), lactation length (LL), and lactation persistency (LP) in Murrah dairy buffaloes (Bubalus bubalis); 2) combine the best functions for each trait under a multiple-trait framework; 3) estimate time-dependent SNP effects for all the studied longitudinal traits; and, 5) identify the most likely candidate genes associated with the traits. A total of 323,140 test-day records from the first lactation of 4,588 Murrah buffaloes were made available for the study. The model included the average curve of the population nested within herd-year-season of calving, systematic effects of number of milkings per day, and age at first calving as linear and quadratic covariates, and additive genetic, permanent environment, and residual as random effects. The WD model had the best goodness of fit based on the deviance information criterion and posterior model probabilities for all traits. Moderate heritabilities were estimated over time for most traits (0.30 ± 0.02 for MY; 0.26 ± 0.03 for FY; 0.45 ± 0.04 for PY; 0.28 ± 0.05 for MZY; 0.13 ± 0.02 for FPR; and 0.15 ± 0.03 for SCS). The heritability estimates for LP ranged from 0.38 ± 0.02 to 0.65 ± 0.03 depending on the trait definition used. Similarly, heritabilities estimated for LL ranged from 0.10 ± 0.01 to 0.14 ± 0.03. The genetic correlation estimates across DIM for all traits ranged from -0.06 (186 to 215 DIM for MY-SCS) to 0.78 (66 to 95 DIM for PY-MZY). The SNP effects calculated for the random regression model coefficients were used to estimate the SNP effects throughout the lactation curve (from 5 to 305 d). Numerous relevant genomic regions and candidate genes were identified for all traits, confirming their polygenic nature. The candidate genes identified contribute to a better understanding of the genetic background of milk-related traits in Murrah buffaloes and reinforce the value of incorporating genomic information in their breeding programs.

Phenotypic parameters of the mother stock of the Jersey breed

Recently, in connection with the transition to an industrial approach in animal husbandry and an increase in demand for planned breeds bred in Ukraine, high requirements have arisen for their productivity, feed cost, suitability for machine milking and other characteristics. Breeding of the Jersey breed can serve as an important reserve for the further development of dairy cattle breeding in Ukraine. The Jersey breed is characterized by high productivity and is the most fat-milk breed in the world, with high feed value and good technological properties of the udder. The purpose of the research was to evaluate the phenotypic parameters of the Jersey cattle herd and to study the influence of the duration of the service period on the efficiency of milk production. 1,331 head of breeding stock of the Jersey breed are kept in the APNVP “Vizit” of the Khmelnytskyi district of the Vinnytsia region, of which 68.4 % are cows. Youngsters are rated elite-record and elite – 99.3 %. Up to 3 lactations are kept in a herd of Jersey cows. Hope per cow is 5819 kg of milk, with a fat content of 6.05 % and a protein content of 4.2 %. The milk productivity of cows exceeds the minimum requirements for the Jersey breed by 83 % for the first lactation, by 82.1 % for the second, and by 73.1 % for the third. The hope for 305 days of lactation in cows with a service period of 90 days in the second lactation is 11.8 % less than the data of cows with a service period of 120 days, for the third lactation – by 11.4 %. The average daily survival of cows with a service period of 120 days was lower than that of control cows by 7.0 %. The efficiency of using cows when extending the service period beyond the 90-day limit recommended by experts reduces the milk productivity of cows. The ratio of fat to protein is higher in Jerseys by 0.3, fat to dry skimmed milk residue by 0.2, and protein to dry skimmed milk residue by 0.06.

Feeding microalgae is the key to increasing the economic efficiency of milk production

The article discusses the results of feeding green microscopic aquatic plants Chlorella Vulgaris to black-and-white cows. Drinking a suspension of chlorella to fresh cows for 99 days of lactation showed that feeding a suspension of chlorella kept the average daily milk yield of the cows of the experimental group, in the transitional spring-summer season, at a high level during the entire accounting period. The average daily milk yield in the experimental group of first-calf heifers was 9.3 % higher than in the experimental group. This made it possible to milk in the experimental group, on average, one head more milk in its natural form than in the control group by 250.5 liters. Additional milk yield in the experimental group, in terms of the basic milk fat content of 3.4 %, amounted to 547.5 liters, and the profit from the sale of this milk per 1 head of the experimental group was more by 16.6 thousand rubles, compared with the control. The use of chlorella suspension in feeding cows of the 2-nd and 3-rd lactations shows that 534.2 liters of milk can be additionally obtained from one cow in 99 days, based on a basic fat content of 3.4 %. Additional profit from the sale of milk per 1 cow, in this case, will be 16.1 thousand rubles.

Geographical trends for automatic milking systems research in non-pasture-based dairy farms: A scoping review

Automatic milking system (AMS) adoption in the United States is trending upward, with issues such as lower availability and increased cost of labor being factors frequently listed as motives for AMS implementation. In addition, more interest in precision dairy farming by the new generation of farmers may also help increase AMS adoption. The objective of this scoping review was to characterize the nature of the literature investigating non-pasture-based AMS and the opportunities and challenges for future research. The eligibility criteria included studies published in or after the year 2000, with full text in English, of at least 500 words, examining various outcomes related to AMS in non-pasture-based dairy farms. Six electronic databases were searched: Biosis (Web of Science), CAB Abstracts (CAB Direct), Medline (PubMed), PubAg, AGRIS (FAO), and Scopus (Elsevier). The review focused on studies with objectives, characteristics, farms, and AMS information. A total of 4,292 titles and abstracts were screened, and 536 studies were finally included. Most of the studies were conducted in Europe (73.5%), among commercial herds (67.9%), comprising Holstein cows (57.7%), using Lely and DeLaval brands (45.4% vs. 39.7%), with free-flow traffic (52.7%). The main research topics investigated were milk production, milk composition, and AMS efficiency, followed by behavior and welfare, health disorders (especially mastitis), and nutrition in Europe and other regions. At the same time, in the United States, trends were similar, except for nutrition. Since 2016 there has been an increased interest in studies on energy and water consumption, technological development, environment (enteric emissions), reproduction, genetics, and longevity or culling. However, the small number of studies and unclear characterization of what is optimum for reproductive management, other health disorders, economics, and water and energy consumption suggest a need for future research.

Technology of Automatic Evaluation of Dairy Herd Fatness

The global recent development trend in dairy farming emphasizes the automation and robotization of milk production. The rapid development rate of dairy farming requires new technologies to increase the economic efficiency and improve production. The research goal was to increase the milk production efficiency by introducing the technology to automatically assess the fatness of a dairy herd in 0.25-point step on a 5-point scale. Experimental data were collected on the 3D ToF camera O3D 303 installed in a walk-through machine on robotic free-stall farms in the period from August 2020 to November 2022. The authors collected data on 182 animals and processed 546 images. All animals were between 450 and 700 kg in weight. Based on the regression analysis, they developed software to find and identify the main five regions of interest: the spinous processes of the lumbar spine and back; the transverse processes of the lumbar spine and the gluteal fossa area; the malar and sciatic tuberosities; the tail base; and the vulva and anus region. The adequacy of the proposed technology was verified by means of a parallel expert survey. The developed technology was tested on 3 farms with a total of 1810 cows and is helpful for the non-contact evaluation of the fatness of a dairy herd within the herd’s life cycle. The developed method can be used to evaluate the tail base area with 100% accuracy. The hungry hole can be determined with a 98.9% probability; the vulva and anus area—with a 95.10% probability. Protruding vertebrae—namely, spinous processes and transverse processes—were evaluated with a 52.20% and 51.10% probability. The system’s overall accuracy was assessed as 93.4%, which was a positive result. Animals in the condition of 2.5 to 3.5 at 5–6 months were considered healthy. The developed system makes it possible to divide the animals into three groups, confirming their physiological status: normal range body condition, exhaustion, and obesity. By means of a correlation dependence equal to R = 0.849 (Pearson method), the authors revealed that animals of the same breed and in the same lactation range have a linear dependence of weight-to-fatness score. They have developed an algorithm for automated assessment of the fatness of animals with further staging of their physiological state. The economic effect of implementing the proposed system has been demonstrated. The effect of increasing the production efficiency of a dairy farm by introducing the technology of automatic evaluation of the fatness of a dairy herd with a 0.25-point step on a 5-point scale had been achieved. The overall accuracy of the system was estimated at 93.4%.

The Impact on Cow Performance and Feed Efficiency When Individual Cow Milk Composition and Energy Intake Are Accounted for When Allocating Concentrates

The objective of this three-treatment, 12-week study (involving 69 dairy cows) was to test three methods of concentrate allocation on milk production efficiency. All treatments were offered a basal mixed ration of grass silage and concentrates, with additional concentrates offered to individual cows based on either milk yield alone (Control), milk energy output (Precision 1) or energy intake and milk energy output (Precision 2). Concentrate requirements were calculated and adjusted weekly. Control cows had lower concentrate dry matter intake (DMI; p = 0.040) and milk protein content (p = 0.003) but yield of milk and energy-corrected milk (ECM), energy balance, bodyweight and condition score were unaffected by treatment. Efficiency measures such as ECM/DMI and ECM/metabolizable energy intake were also unaffected by treatment. Less concentrates were used per kg ECM yield in the Control compared to the Precision treatments (p < 0.001). In conclusion, accounting for individual cow milk composition or milk composition combined with individual cow energy intake did not improve production efficiency compared to an approach based on individual cow milk yield only.

ASSESSMENT OF THE STATE AND TRENDS IN THE IMPLEMENTATION OF INNOVATIVE TECHNOLOGICAL SOLUTIONS IN BREEDING DAIRY FARMS OF UKRAINE

The global dairy sector has been significantly impacted in recent years, with experts assessing the consequences as a serious threat to the food security of the world's population. The biggest destabilising factors for the industry were the effects of the pandemic, war, inflation and high energy prices. Despite the steady increase in demand for milk, there is currently no trend towards a recovery in production growth. Dairy producers are under constant pressure from the above factors, resulting in lower margins, difficult access to competitive capital, and constant adaptation to new regulations. In the current political, economic and climatic conditions, one of the possible ways to increase the profitability of the dairy industry as a major incentive to increase production is the widespread introduction of innovative technological approaches to milk production.
 The purpose of the article is to assess the state and trends in the implementation of innovative technological solutions in dairy farming in Ukraine on the example of Ukrainian breeding dairy farms.
 Research results. In order to ensure the survival of the national dairy industry during the active military phase, as well as its rapid development in the post-war period, created a Roadmap for the restoration of the dairy industry. The Roadmap is primarily aimed at ensuring sustainable long-term development of the dairy industry; creation and operation of highly efficient and financially sustainable dairy farms; stimulating the construction of modern dairy enterprises with widespread introduction of innovations aimed at increasing the international competitiveness of the industry.
 Our research has shown that in recent years, the dynamics of modernisation processes in Ukrainian dairy farming has accelerated. In particular, in the Holstein herds, the productivity of cows kept in dairy complexes increased by 1882 kg per cow, or 470 kg per year on average, in 2016–2020.
 At the same time, increasing the efficiency of milk production through the introduction of innovative technological solutions will result in a mega-trend of farm consolidation in the future. For example, in the US, 50.3% of milk is produced at industrial large-scale dairies with more than 1.000 cows, where the latest science and technology is used. The influence of the factor of production concentration on the efficiency of the use of breeding animals of dairy and dairy-meat cattle breeds was studied. The average number of cows in the controlled breeding herds of dairy breeds in Ukraine (n = 350) in 2019 was 400 cows. The average milk yield per cow was 7.540 kg. According to the results of the analysis, as the number of cows in the farms grows, economic indicators such as revenue, profitability, and profitability increase.
 Conclusions. In recent years, a quarter of breeding farms for the most numerous specialised dairy breeds have been involved in the innovation process in pedigree dairy cattle breeding, with more than 50% of the number of breeding cows of these breeds concentrated there. The small herds used traditional technologies for keeping and using cows.
 The introduction of the latest innovative technological solutions for industrial milk production ensures an increase in revenues from its sale due to the growth of cow productivity. As the concentration of cows increases, the industry's performance indicators, such as milk yield, feed intake and the intensity of land use, are also increasing. The industry's profitability is increasing from 14.7% to over 24.2%.
 When creating new livestock complexes in the post-war period, the best international and domestic experience of the industry should be taken into account. The development of the dairy farming sector should be aimed at breeding specialised dairy cattle breeds and introducing innovative technologies for their maintenance, feeding and operation. Domestic specialised dairy breeds are at the level of the best European analogues in terms of productivity in industrial dairy complexes, and are superior in terms of reproduction and health, are economically viable and should become the basis for further development of the dairy cattle industry in Ukraine.

Enrichment of chocolate byproducts and protected fats with zinc to partially replace corn in diets of early lactation Holstein cows

Abstract The present experiment aimed to evaluate the effect of partial replacement of corn with chocolate byproducts, protected fats, or their mixture supplemented with zinc in the diet of lactating cows on feed utilization and lactation performance for 90 days. Fifty multiparous Holstein cows (565±25 kg BW, 3±1 parity, 7±1 days in milk, and a previous milk production of 35±2.9 kg/d), were randomly assigned to 5 treatments in a completely randomized design. The control diet contained (per kg DM): 412 g concentrate feed mixture, 412 g corn silage, and 176 g berseem hay. The control diet was supplemented with 1 g of zinc daily (Zinc diet). In the other diets, each kg of crushed corn grain was replaced with (DM basis) 600 g chocolate byproducts (CH diet), 400 g protected fats (PF diet), or 500 g of chocolate byproducts and protected fats mixture (1:1 DM basis) (CHPF diet). Both amounts of protected fats and chocolate byproducts had the same energy concentration as 1 kg of corn. The total mixed ration was prepared and distributed using a horizontal mixer system after mixing for 20 min. Chemical analysis showed that the replacement minimally affected the composition of the total mixed rations. Additionally, treatments did not affect feed intake. Compared to the control treatment, the zinc treatment did not affect milk production, milk composition, or feed efficiency. Increased (P<0.05) daily production of milk and component yields, and feed efficiency as well as fat concentration were observed by the CH, PF and CHPF treatments. Without affecting other measured blood parameters or hematocrit, treatments increased (P<0.05) the concentrations of total proteins, albumin, glucose, cholesterol, triglyceride, and zinc in the blood of cows. Additionally, the CH, PF, and CHPF treatments increased (P<0.01) the digestibility of nutrients compared to the control treatment. It is concluded that the addition of zinc to the control did not affect cow performance; however, its addition to chocolate byproducts, protected fats, or their mixture to partially replace corn improved the performance of cows.

Effect of feeding a Saccharomyces cerevisiae fermentation product to Holstein cows exposed to high temperature and humidity conditions on milk production performance and efficiency—A pen-level trial

The objective of this study was to evaluate the effect of feeding a Saccharomyces cerevisiae fermentation product (SCFP) on milk production efficiency of Holstein cows naturally exposed to high temperature and humidity conditions. The study was conducted in 2 commercial farms in Mexico from July to October 2020 and included 1 wk covariate period, 3 wk adaptation, and 12 wk data collection. Cows [n = 1,843; ≥21 d in milk (DIM) and <100 d carried calf] were enrolled and assigned to the study pens (n = 10) balanced for parity, milk yield, and DIM. Pens were fed a total mixed ration diet either without (CTRL) or with SCFP (19 g/d, NutriTek, Diamond V). Milk yield, energy-corrected milk (ECM), milk components, linear somatic cell score, dry matter intake (DMI), feed efficiency (FE; Milk/DMI and ECM/DMI), body condition score, and the incidence of clinical mastitis, pneumonia, and culling were monitored. Statistical analyses included mixed linear and logistic models accounting for repeated measures (when applicable; multiple measurements per cow within treated pens) with pen as the experimental unit and treatment, time (week of study), parity (1 vs. 2+), and their interactions as fixed and pen nested within farm and treatment as random effect. Parity 2+ cows within pens fed SCFP produced more milk than cows within CTRL pens (42.1 vs. 41.2 kg/d); there were no production differences between groups of primiparous groups. Cows within SCFP pens had lower DMI (25.2 vs. 26.0 kg/d) and greater FE (1.59 vs. 1.53) and ECM FE (1.73 vs. 1.68) than cows within CTRL pens. Milk components, linear somatic cell score, health events, and culling were not different between groups. At the end of the study (245 ± 54 DIM), SCFP cows had greater body condition score than CTRL (3.33 vs. 3.23 in the first parity; 3.11 vs. 3.04 in 2+ parity cows). Feeding Saccharomyces cerevisiae fermentation products to lactating cows exposed to high temperature and humidity conditions improved FE.

The effects of feeding α-amylase-enhanced corn silage with different dietary starch concentrations to lactating dairy cows on milk production, nutrient digestibility, and blood metabolites

Corn silage is one of the most common ingredients fed to dairy cattle. Advancement of corn silage genetics has improved nutrient digestibility and dairy cow lactation performance in the past. A corn silage hybrid with enhanced endogenous α-amylase activity (Enogen, Syngenta Seeds LLC) may improve milk production efficiency and nutrient digestibility when fed to lactating dairy cows. Furthermore, evaluating how Enogen silage interacts with different dietary starch content is important because the ruminal environment is influenced by the amount of rumen fermentable organic matter consumed. To evaluate the effects of Enogen corn silage and dietary starch content, we conducted an 8-wk randomized complete block experiment (2-wk covariate period, 6-wk experimental period) with a 2 × 2 factorial treatment arrangement using 44 cows (n = 11/treatment; 28 multiparous, 16 primiparous; 151 ± 42 d in milk; 668 ± 63.6 kg of body weight). Treatment factors were Enogen corn silage (ENO) or control (CON) corn silage included at 40% of diet dry matter and 25% (LO) or 30% (HI) dietary starch. Corn silage used in CON treatment was a similar hybrid as in ENO but without enhanced α-amylase activity. The experimental period began 41 d after silage harvest. Feed intake and milk yield data were collected daily, plasma metabolites and fecal pH were measured weekly, and digestibility was measured during the first and final weeks of the experimental period. Data were analyzed using a linear mixed model approach with repeated measures for all variables except for body condition score change and body weight change. Corn silage, starch, week, and their interactions were included as fixed effects; baseline covariates and their interactions with corn silage and starch were also tested. Block and cow served as the random effects. Plasma glucose, insulin, haptoglobin, and serum amyloid A concentrations were unaffected by treatment. Fecal pH was greater for cows fed ENO versus CON. Dry matter, crude protein, neutral detergent fiber, and starch digestibility were all greater for ENO than CON during wk 1, but differences were less by wk 6. The HI treatments depressed neutral detergent fiber digestibility compared with LO. Dry matter intake (DMI) was not affected by corn silage but was affected by the interaction of starch and week; in wk 1, DMI was similar but by wk 6, cows fed HI had 1.8 ± 0.93 kg/d less DMI than LO cows. Milk, energy-corrected milk, and milk protein yields were 1.7 ± 0.94 kg/d, 1.3 ± 0.70 kg/d, and 65 ± 27 g/d greater for HI than LO, respectively. In conclusion, ENO increased digestibility but it did not affect milk yield, component yields, or DMI. Increasing dietary starch content improved milk production and feed efficiency without affecting markers of inflammation or metabolism.

Water Use Efficiency in Milk Production of Selected Dairy Breeds in Central Region of Bihar: A Lifetime Analysis

Water Use Efficiency in Milk Production of Selected Dairy Breeds in Central Region of Bihar: A Lifetime Analysis

Effects of corn silage and grain expressing α-amylase on ruminal nutrient digestibility, microbial protein synthesis, and enteric methane emissions in lactating cows

Increasing ruminal starch digestibility has the potential to improve microbial protein synthesis (MPS), milk production, and feed efficiency. Enogen corn (Syngenta Seeds LLC) expresses high α-amylase activity, and we evaluated effects of Enogen corn silage (CS) and grain (CG) on ruminal starch digestibility, MPS, and milk production in lactating dairy cows. Fifteen Holstein cows (6 ruminally cannulated and 9 noncannulated; average ± standard deviation at the beginning of the trial: 170 ± 40 d in milk; milk yield, 37.2 ± 7.73 kg/d; body weight, 714 ± 37 kg) were used in a replicated 3 × 3 Latin square design (28 d per period) with 3 treatments: a diet containing isoline CS and CG (control, CON); a diet with Enogen CS and isoline CG (ECS); and a diet with Enogen CS and CG (ECSCG). Dry matter (DM; 30%), starch (35% of DM), and particle size distribution of the isoline and Enogen CS were similar. However, the mean particle size of Enogen CG was larger (1.05 vs. 0.65 mm) than that of the isoline CG. Cannulated cows were used for digestibility and nutrient flow measurements, noncannulated cows were used for enteric CH4 measurements, and all cows were used for production evaluation. Dry matter intake (DMI) and milk yield were greater for ECS and ECSCG compared with CON (26.7 and 26.6 vs. 25.1 kg/d and 36.5 and 34.1 vs. 33.1 kg/d, respectively) without a difference between ECS and ECSCG. Milk protein yield was greater (1.27 vs. 1.14 and 1.17 kg/d) for ECS compared with CON and ECSCG. Milk fat content was greater (3.79 vs. 3.32%) for ECSCG compared with ECS. Milk fat yield and energy-corrected milk did not differ among treatments. Ruminal digestibilities of DM, organic matter, starch, and neutral detergent fiber were not different among treatments. However, ruminal digestibility of nonammonia, nonmicrobial N was greater (85 vs. 75%) for ECS compared with ECSCG. Total-tract apparent starch digestibility was lower (97.6 and 97.1 vs. 98.3%) for ECS and ECSCG compared with CON, respectively, and tended to be lower (97.1 vs. 98.3%) for ECSCG compared with ECS. Ruminal outflows of bacterial OM and nonammonia N tended to be greater for ECS than for ECSCG. Efficiency of MPS tended to be greater (34.1 vs. 30.6 g of N/kg of organic matter truly digested) for ECS versus ECSCG. Ruminal pH and total and individual short-chain fatty acid concentrations did not differ among treatments. Concentration of ruminal NH3 for ECS and ECSCG was lower (10.4 and 12.4 vs. 13.4 mmol/L, respectively) compared with CON. Methane per unit of DMI decreased for ECS and ECSCG compared with CON (11.4 and 12.2 vs. 13.5 g/kg of DMI, respectively) without a difference between ECS and ECSCG. In conclusion, ECS and ECSCG did not increase ruminal or total-tract starch digestibility. However, the positive effects of ECS and ECSCG on milk protein yield, milk yield, and CH4 per unit of DMI may show potential benefits of feeding Enogen corn. Effects of ECSCG were not apparent when compared with ECS, partly due to larger particle size of Enogen CG compared with its isoline counterpart.

Genomic diversity and population structure of the Czech Holstein cattle

Holstein-Friesian (HF) is a cosmopolitan breed distributed in more than 150 countries. It represents a large metapopulation with intensive gene flow, realised mainly through artificial insemination and the intensive use of the popular "star" bulls. The breed is known for its superiority in milk yield, production efficiency and black and white coat color. In contrast to the enormous size of the census population, which exceeds nine million animals in the U.S. alone, the genetic diversity of this highly commercialised breed is surprisingly low, necessitating genetic monitoring, especially of subpopulations in individual countries. Our main objective in this study was to analyze genomic diversity (estimated by genomic inbreeding and effective population size) and population structure (relationship to other subpopulations) of the subpopulation from the Czech Republic and, based on high-throughput SNP array genotypes. We analysed 2178 animal samples (32,865 autosomal SNP) from 12 subpopulations and the Simental cattle breed (98 animals), which represents an outlier population. Czech bulls showed high genomic inbreeding (FROH>2Mb=0.133), well above the inbreeding level of Czech cows (FROH>2Mb=0.091), with particularly high recent inbreeding (ROH>8Mb). Unexpectedly, the estimated effective population size (NeLD) was relatively high, ranging from 202 (GONE) to 283 (NeEstimator v2), depending on the estimation algorithm. Our phylogenetic analyses showed that the Czech HF belonged to the "core metapopulation HF ", together with Belgian, British, Canadian, Dutch, French, German, and USA subpopulations, which was separated from the Swiss, Irish, and Croatian subpopulations. We also showed that Czech AI bulls differed slightly from cows, especially in genes affecting meat and carcass. Our results have defined the population structure of the Czech HF and indicate the potential problems of increased inbreeding due to selection of AI bulls.

Partial replacement of corn with chocolate byproducts or protected fat in diets of early lactating Holstein cows: feed utilization and lactational performance

This study determined the effects of the partial replacement of corn with chocolate byproducts or protected fat on the performance of cows. Forty multiparous Holstein cows were assigned to four treatments in a completely randomized design for 90 d. The control diet was a complete diet containing 41.2% concentrate feed mixture, 41.2% corn silage, and 17.6% berseem hay. In the other experimental diets, each kg of crushed corn grain in the control diet (DM basis) was replaced with 600 g chocolate byproducts (CH), 400 g protected fat (PF), or 500 g of a mixture of chocolate byproducts and protected fat (1:1 DM basis) (CHPF). Both amounts of PF and CH had the same energy concentration as 1 kg of corn. The experimental treatments did not affect total intake; however, they increased (p < 0.001) daily production of milk, milk fat content, and feed efficiency. Moreover, treatments increased (p < 0.05) blood total protein, albumin, glucose, cholesterol, and triglyceride. The CH, PF, and CHPF treatments increased (p < 0.01) nutrient digestibility. It is concluded that replacing 1 kg of corn in the diet of lactating Holstein cows with PF at 400 g, followed by CHPF at 500 g, and CH at 600 g enhanced milk production and feed efficiency.

Mineral Status of Lactating Jaffarabadi Buffaloes in Their Home Tract: A Field Study

Deficit macro and micro-minerals in the ration of lactating Jaffarabadi buffaloes adversely affects growth, milk production and reproduction efficiency. For present study, four villages from each of 5 talukas were selected at random for taking representative samples of soil, feeds, forages and blood plasma of lactating Jaffarabadi buffaloes. Within the village, help was sought from village milk producers and district animal husbandry officer for identification of 3 farmers and collection of representative samples. All the samples were processed and analysed for chemical composition as well as major macro and micro-minerals, using Microwave Plasma Atomic Emission Spectrometer (MP-AES). Ca content was high in groundnut haulms (0.95%), but maize forage (0.23%), cotton seed cake (0.16%), cotton seed (0.12%) and maize cake (0.25) were found to be below the critical level (0.30%). The P content in concentrate ingredients was high (0.38-0.68%), but low in roughages (0.07-0.20%). Green jowar (0.18%) and maize cake (0.10%) were deficient in Mg. Feeds and forages were found to be adequate in iron. Abundant level of Cu was found in all feeds and forage. Sugarcane was found deficient in all minerals, except iron, and groundnut haulms (20.70 ppm) were found to be deficient in Zn. The blood mineral profile of the majority of lactating Jaffarabadi buffaloes was adequate. From the present study, it was apparent that soil and therefore forages cultivated in particular region were deficient in P and Zn. Same minerals were adequate in concentrate available in this area. So, to fulfil the requirement of deficient minerals there is need to feed concentrate along with area specific mineral mixture to the buffaloes.

Effect of betaine supplementation on production performance and serum antioxidant indices of Nili-Ravi buffaloes during summer.

This study aimed to determine whether feeding betaine (Bet) to lactating Nili-Ravi buffaloes elevates their production performance during the hot and humid climate. Sixty lactating Nili-Ravi buffaloes were randomly divided into four groups: the control group received a standard concentrates basal diet without Bet, whereas in the treated group the same diet was supplemented with Bet at 0.2%, 0.4%, and 0.6% on dry matter basis for 9 weeks. All animals received ad libitum amount of chopped green maize fodder. Milk production and its fat % were recorded twice daily, whereas for the remaining components samples were collected weekly. Blood samples were collected at the end of the experiment. The results showed that feeding Bet to buffaloes increased (p<0.05) milk yield, production efficiency, and nutrient utilization at all three inclusion levels; however, milk composition remained unaffected. A numerical but non-significant (p>0.05) increase in performance was noticed with higher doses of Bet. Superoxide dismutase in all three treatments and glutathione peroxidase in Bet 0.2% inclusion level were higher (p<0.05) as compared to the control. However, malondialdehyde was not significantly affected. Inclusion of Bet in the concentrate ration of lactating buffalos at 0.2% level on the dry matter basis is recommended as it positively influenced the production and also improved their antioxidant status during summer.