Archive for balanced nutrient intake

Unlock the Secrets to Maximizing Rumen Feed Efficiency: The Ultimate Guide for Dairy Farmers

Unlock the secrets to maximizing rumen feed efficiency for your dairy farm. Discover actionable tips and expert insights to boost productivity and profits. Ready to learn more?

Summary: This comprehensive guide explores the intricacies of rumen feed efficiency, emphasizing the critical role of high-quality forage, appropriate feed particle size, and balanced nutrient intake in optimizing dairy herd health and productivity. By fine-tuning cattle diets, milk output can increase by up to 15% and reduce feed costs by 10-20%. A well-maintained rumen environment, with a focus on pH balance and fiber content, maximizes feed efficiency and reduces methane emissions by 30%, enhancing both herd production and environmental sustainability.

Key Takeaways:

  • Understanding the rumen’s role is crucial: It acts as a fermentation Vat, turning feed into energy and nutrients essential for your herd’s performance.
  • High-quality forage is paramount: It enhances digestibility, nutrient absorption, and overall feed efficiency, driving better animal performance.
  • Optimal feed particle size can significantly impact rumen efficiency, ensuring that cows can extract the maximum nutrients from their feed.
  • Achieving the perfect nutrient balance is both an art and a science, requiring careful consideration of protein, fiber, and energy levels tailored to your herd’s needs.
  • Feed additives and supplements can provide an extra boost to your herd’s performance, helping to optimize rumen function and overall health.
  • Consistent monitoring and adjustments of diets are essential for maintaining peak rumen efficiency, demanding regular assessment and tweaking based on animal performance and health indicators.
  • Comprehensive, tailored dietary strategies are vital for enhancing feed utilization, improving productivity, and reducing costs in dairy cattle management.

Consider this: you can increase milk output, raise healthier cows, and increase earnings without making any additional investments. Maximizing rumen feed efficiency is more than just a phrase; it is a novel concept for dairy producers.You may increase your milk output by up to 15% by fine-tuning your cattle’s diet. Optimizing their nutrition will not only boost milk supply, but will also improve overall cow health and result in significant cost savings. Effective feed efficiency may reduce feed costs by 10-20%. With the growing cost of feed and the drive for sustainable practices, understanding rumen feed efficiency is critical to the success of your dairy farm.

The Rumen: The Fermentation Vat that Powers Your Herd 

The rumen, a key component of ruminants’ digestive systems, is a giant fermentation vat. Various microorganisms, including bacteria, protozoa, and fungi, aid this intricate process, which works together to break down meals. Each microorganism serves a distinct purpose, decomposing specific components of the eaten substance.

When feed reaches the rumen, bacteria break cellulose, fibers, and other carbohydrates via fermentation. This process produces volatile fatty acids (VFAs), including acetate, propionate, and butyrate, the animal’s principal energy source. VFAs are absorbed via the ruminal wall and transferred to the liver, where they are processed and used for maintenance, growth, and milk production.

Maintaining a healthy rumen environment is critical for maximizing feed efficiency. This entails assuring a steady supply of nutrients, optimum pH balance, and enough fiber content to enable microbial activity and digestion. A steady rumen environment helps avoid illnesses like acidity and bloating, improving nutrition absorption and overall animal production (Rumen Health Initiative). Regular monitoring and modifications to feed regimens and feed additives like buffers and probiotics may help maintain this delicate balance.

Interestingly, well-balanced diets may reduce methane emissions by 30%, leading to increased herd production and environmental sustainability. Ensuring that nutritional balance and fiber content are carefully regulated not only promotes optimum microbial activity but also reduces the formation of methane, a powerful greenhouse gas. Integrating this approach into your feeding plan will help you meet your long-term sustainability objectives while also improving feed efficiency and animal health.

Understanding and controlling rumen function isn’t just a science; it’s a strategy that significantly enhances cattle health while boosting feed efficiency and economic returns for farmers. Dairy cows with well-optimized rumen function can produce an impressive 5-10% more milk. Moreover, high-efficiency diets can lead to a staggering 20% increase in milk fat content. 

How Forage Quality, Feed Particle Size, and Nutrient Balance Supercharge Rumen Efficiency 

Several variables may impact rumen efficiency, the most important of which is fodder quality. High-quality fodder promotes microbial growth inside the rumen, resulting in more effective fermentation. Research published in the Journal of Dairy Science in 2015 found that cows given high-quality alfalfa produced more milk owing to improved nutritional absorption (Smith et al., 2015).

Furthermore, feed particle size influences rumen efficiency. Fine grinding of feed particles may increase the surface area for microbial activity, speeding up the fermentation process. However, attractive particles may cause rumen acidosis, emphasizing the need for a balanced strategy. Johnson et al. (2016) discovered that optimum particle size increased fiber digestibility by up to 12%.

Nutrient balance is another critical component that influences feed efficiency. Balanced feeds with optimum quantities of carbohydrates, proteins, and lipids are required to sustain good rumen activity. Over- or under-feeding any one nutrient might upset the microbial balance. A meta-analysis by researchers at the University of Wisconsin found that increasing feed efficiency by 1% may result in a 3-5% savings in overall feed costs, highlighting the economic relevance of balanced nutrition (University of Wisconsin, 2019).

Maintaining high forage quality, improving feed particle size, and ensuring nutritional balance are all critical methods for increasing rumen feed efficiency. These measures, backed by extensive research and statistical data, have the potential to significantly increase herd health and production overall.

Discover the Secret to Rumen Efficiency: The Power of High-Quality Forage 

High-quality forage is essential for obtaining optimal rumen feed efficiency. This process is heavily influenced by the forage’s composition, namely its fiber digestibility and protein concentration. When fodder has high fiber digestibility, microorganisms in the rumen may break it down more effectively, resulting in improved nutrient absorption and energy availability for the animal. This increases the cows’ overall health and productivity while increasing feed efficiency, possibly lowering feed costs by 3-5% (Usmani, 2007).

Additionally, forage with a balanced and adequate protein content is essential for maximizing rumen functionality. Protein is a necessary component for microbial development in the rumen, which influences the digestion of other meal components. Insufficient protein may reduce microbial activity, resulting in poor fermentation and nutrition utilization. Thus, paying attention to fodder quality, namely fiber digestibility and protein content, may significantly influence your herd’s performance and efficiency.

Optimizing Feed Particle Size: The Hidden Key to Maximizing Rumen Efficiency 

Optimizing feed particle size is crucial for increasing rumen feed efficiency. Particle size directly influences how well the rumen’s microbial community can break down and ferment feed, affecting your herd’s nutritional intake and general health. Finely milled feed enhances the surface area for microbial activity, resulting in better digestibility and nutrient absorption.

However, the advantages of finely powdered feed come with a substantial drawback: the danger of acidosis. When feed is ground too finely, it ferments quickly, resulting in excess volatile fatty acids. This fast fermentation might exceed the rumen’s buffering ability, resulting in a dip in pH and ruminal acidosis. Varon et al. (2007) found that acidosis causes lower feed intake and reduced total herd production, making it a significant problem to prevent.

A hybrid strategy to feed particle size is used to attain the desired equilibrium. Use a range of particle sizes to slow fermentation while guaranteeing proper digestion. Chopping grass to medium lengths (approximately ½ to ¾ inch) may give a healthy balance, decreasing acidity and boosting rumen efficiency. Furthermore, efficient fiber sources like long-stem hay may help keep the rumen’s pH stable by encouraging chewing and saliva production, which functions as a natural buffer.

Pro tip: Regularly check rumen pH levels and modify feed particle size as needed. These tactics will help you maintain a healthy balance, increasing the efficiency and well-being of your herd.

The Art and Science of Achieving the Perfect Nutrient Balance 

Achieving the right nutritional balance is an art and a science, and it is directly related to your herd’s health and production. An optimum diet must have an appropriate balance of carbs, proteins, and lipids to improve rumen function and feed efficiency. Carbohydrates, the primary energy source, should comprise 50-60% of the diet. These comprise non-structural carbohydrates (NSC), such as grains, which ferment quickly, and structural carbs, such as cellulose found in forages, which digest slowly.

Proteins are vital for microbial development in the rumen because they offer the nitrogen required for microbial protein synthesis. The food’s ideal crude protein (CP) percentage varies between 12% and 18%, depending on the production stage and lactation. A balance of rumen-degradable protein (RDP) and rumen-undegradable protein (RUP) guarantees a consistent supply of amino acids for microbial protein synthesis and optimal rumen activity.

Although high in energy, Fats need careful management owing to their complicated function in the rumen environment. Fats should not account for more than 6% of the diet. Excess fat may impair fiber digestion and harm rumen fermentation. Aim for a balanced intake of saturated and unsaturated fats to maintain energy levels without upsetting the microbial environment.

Balancing these nutrients requires continuous monitoring and modification depending on feed analysis and herd performance. Net energy systems and automated ration formulations are essential for fine-tuning nutritional balance. This meticulous attention to detail may significantly improve rumen health and feed efficiency, increasing herd production and sustainability.

Boost Your Herd’s Performance with Feed Additives and Supplements 

Learn about feed additives to get the most out of your rumen feed. These small but powerful changes can significantly improve the health and production of your herd.

  • Buffers: The pH Guardians.
    Buffers like sodium bicarbonate are essential for maintaining the proper pH equilibrium in the rumen. They also neutralize excess acidity, preventing acidosis, which may severely impair digestion. Research published in the Journal of Dairy Science found that cows given buffers had increased feed intake and milk output (Arambel & Kent, 2005).
  • Probiotics: The Gut Allies.
    Probiotics are good microorganisms that improve gut health and digestion. They may also aid in regulating the rumen environment, increasing feed efficiency. A meta-analysis of 66 research revealed that utilizing probiotics in dairy cows increased milk output, improved general health, and decreased the need for antibiotics (Krehbiel, 2003).
  • Enzymes: Digestive Boosters
    Enzymes such as cellulases and amylases degrade complex plant components, making absorbing nutrients easier. Including enzymes in the diet may improve fiber digestion and nutrient absorption. The Journal of Animal Science reported that enzyme supplementation significantly boosted feed efficiency and milk output (Beauchemin et al., 2003).

By judiciously combining these feed additives and supplements, you may improve your herd’s rumen efficiency, resulting in excellent health and production. Remember, a slight change in their nutrition today might result in significant improvements tomorrow.

Master the Art of Monitoring and Adjusting Diets: Your Ultimate Guide to Peak Rumen Efficiency 

Diets must be monitored and adjusted regularly to achieve and maintain maximum feed efficiency in your herd. By constantly monitoring animal performance and rumen health indicators, you can fine-tune diets to ensure each cow obtains the nutrients it needs for optimal production and health. Begin by developing a systematic strategy for measuring feed efficiency.

Begin by tracking each cow’s or group’s daily feed consumption. This may be accomplished via human logging or automatic feeding systems. Next, milk output and components such as fat and protein percentages are examined to see how effectively the meal is used.

Use body condition score (BCS) to assess your cows’ nutritional health. Regularly grading cows on a scale of 1 to 5 may help determine if the present feed matches energy needs. Watch out for rumen health indicators, including cud chewing, dung consistency, and rumen fill, since they might provide early warning signs of nutritional imbalance.

Try changing the forage-to-concentrate ratios or adding particular feed additives to balance nutrient intake. Collaborate with a nutritionist to assess feed samples and alter diets based on the most recent information.

Furthermore, using technology like Precision Feeding Systems may help you reliably distribute the calculated food to your herd, reduce mistakes, and guarantee that each cow gets an ideal balance of nutrients adapted to its specific requirements. By carefully monitoring and making timely modifications, you may significantly improve rumen efficiency and overall herd performance.

The Bottom Line

Increasing rumen feed efficiency is necessary for every dairy farmer seeking profitability and sustainability. Farmers may increase milk output significantly, cut feed expenses, and maintain their herd’s health and well-being by improving the fermentation process inside the rumen. Improving feed efficiency by merely 1% may lead to a 3-5% decrease in feed costs (Salim Surani). High-quality forage, accurate feed particle size, proper nutrition balance, and strategic supplementation should all become part of your feeding strategy, allowing you to make educated choices that improve your herd’s productivity and health. What gains might you get by adjusting your feed tactics today? Optimizing feed efficiency is a continual process that aims to improve economic viability and animal welfare. Are you prepared to accept this trip and receive the benefits?

Learn more:

Comparing Dairy Feed Systems: Predicting Essential Amino Acid Outflows in Cows

Discover which dairy feed system best predicts essential amino acid outflows in cows. Are NRC, CNCPS, or NASEM systems more accurate for your herd’s nutrition?

The dairy industry thrives on the delicate balance between nutrition and productivity, with essential amino acids (EAA) playing a pivotal role. These building blocks are crucial for dairy cows’ health, growth, and milk production, serving as the foundation of successful dairy farming. But how do farmers ensure their herds get the right EAA mix? The answer lies in advanced feed evaluation systems that predict and optimize EAA outflows. This article explores the effectiveness of three such systems: the National Research Council (NRC), the Cornell Net Protein and Carbohydrate System (CNCPS), and the National Academies of Sciences, Engineering, and Medicine (NASEM). 

Optimal EAA delivery in dairy diets boosts cow health and productivity and enhances overall farm sustainability through efficient nutrient utilization. 

This study compares these three systems, focusing on their ability to predict post-ruminal outflows of EAAs. Analyzing data from 70 duodenal and 24 omasal studies aims to determine which method offers the most reliable predictions, guiding better feed formulations and promoting improved dairy cow health and productivity.

Essential Amino Acids in Dairy Cows

Essential amino acids (EAA) are vital nutrients that dairy cows must obtain through their diet. They are critical for protein synthesis, enzyme activity, and other metabolic processes

In dairy nutrition, EAAs are vital to maintaining optimal milk production. An imbalance in amino acid ratios can lead to nutrient waste and inefficient milk production. Proper balance ensures that dietary proteins are used effectively, producing higher milk yield and quality. 

Deficiencies in EAAs like methionine and Lysine can reduce milk protein synthesis, impacting milk production and cow health. Addressing these deficits through precise ration formulation sustains high milk yield and ensures cow well-being.

Dairy Feed Systems

In addition to the three dairy feed evaluation systems, the feed delivery method is crucial for amino acid absorption and utilization. Total Mixed Ration (TMR) and Partial Mixed Ration (PMR) are the two central systems. 

Total Mixed Ration (TMR): This system mixes all dietary components into a single blend, ensuring each bite is nutritionally balanced. 

Partial Mixed Ration (PMR): This method combines forage and concentrate portions separately, providing flexibility but potentially less consistency in nutrient intake. 

Pros of TMR: 

  • Ensures balanced nutrient intake in every bite, improving amino acid absorption.
  • Promotes stable rumen fermentation, essential for microbial protein synthesis and cow health.

Cons of TMR: 

  • Requires costly specialized mixing equipment.
  • Less flexible in adjusting to individual cow needs or changes in forage quality.

Pros of PMR: 

  • Offers flexibility to manage forage and concentrate portions for individual cow needs.
  • It is cheaper to implement as it doesn’t require sophisticated mixing equipment.

Cons of PMR: 

  • This may lead to inconsistent nutrient intake, affecting amino acid absorption.
  • It can cause sorting behavior, leading to imbalanced nutrition.

When choosing between TMR and PMR, consider: 

  • Equipment and Cost: Initial investment and maintenance of feeding equipment.
  • Nutritional Consistency: TMR ensures balanced intake, which is crucial for amino acid absorption, while PMR needs careful management.
  • Cow Behavior: Feeding systems should align with cow behavior to maintain milk production and health.
  • Flexibility: PMR might be preferable for operations requiring quick ration adjustments.

Both TMR and PMR have merits and limitations. The choice depends on farm-specific factors like resource availability, herd size, and management goals. Implementing the right feeding strategy with accurate feed evaluation optimizes amino acid absorption, ensuring better productivity and health in dairy cows.

Predicting Essential Amino Acid Outflows

Predicting essential amino acid (EAA) outflows in dairy cows accurately is vital for crafting balanced rations that boost health and productivity. Three primary dairy feed evaluation systems are in use: the National Research Council (NRC), the Cornell Net Protein and Carbohydrate System (CNCPS), and the National Academies of Sciences, Engineering, and Medicine (NASEM). 

These systems use models based on rumen-undegradable, microbial, and endogenous protein outflows. The NRC model underpredicts most EAAs, while CNCPS overpredicts amino acids like Arg, His, and Lys. On the other hand, NASEM occasionally overpredicts Lysine but is more accurate overall in predicting absolute values. 

Several factors affect amino acid absorption and metabolism, including the cow’s physiological state, feed composition, and microbial protein synthesis efficiency in the rumen—the sample collection site, whether omasal or duodenal, significantly impacts model accuracy. Changes in crude protein and EAA chemistry in feed also influence predictions, highlighting the complex relationship between diet formulation and nutrient absorption. 

Accurate EAA outflow estimates are crucial for ensuring dairy cows receive proper nutrition, which optimizes milk production, enhances feed efficiency, and improves reproductive performance. Misestimations can result in nutrient deficits or excesses, with economic and health impacts. Therefore, continually refining these prediction models is essential to meet the evolving needs of dairy nutrition and maintain productive, healthy herds.

Comparative Analysis: NRC vs CNCPS vs NASEM

Evaluation SystemPrediction Accuracy (EAA Outflows)Mean BiasLinear Bias of ConcernStrengthsWeaknesses
NRCAccurateUnderpredicted most EAA (5.3% to 8.6%)HisHigher concordance correlation in duodenal studies
Slight superiority in predicting dietary change responses
Underprediction of most EAA except Leu, Lys, and Val
NASEMAccurateOverpredicted Lys (10.8%)NoneSmall superiority in predicting absolute valuesOverprediction of Lys
CNCPSVariableOverpredicted Arg, His, Lys, Met, and Val (5.2% to 26.0%)All EAA except Leu, Phe, and ThrLowest mean bias for Met in omasal studiesMean and linear biases of concern for many EAA

Analyzing raw observed values, the NRC system underpredicted EAA outflows, with deviations ranging from 5.3% to 8.6% of the observed mean except for Leu, Lys, and Val. Conversely, NASEM overpredicted Ly’s outflow by 10.8%. CNCPS overpredicted multiple amino acids, with deviations from 5.2% to 26.0%. 

Regarding linear bias, NASEM showed no significant biases for any EAA, highlighting its robustness. NRC only had a linear bias of concern for His at 6.8%, while CNCPS had biases for almost all EAAs except Leu, Phe, and Thr. 

For dietary changes, NRC showed fewer EAAs with linear biases of concern, precisely only two. NASEM and CNCPS had biases for four and six EAAs, respectively. Notably, He exhibited linear biases across all three systems. 

The variability in sampling sites—omasal versus duodenal—revealed systematic discrepancies in Met outflows. NRC performed better with duodenal studies, while CNCPS showed the most negligible mean bias for Met in omasal samples. This 30% difference in Met mean biases mirrors discrepancies observed in Met versus nonammonia nitrogen outflows. 

Detailed reporting of crude protein and EAA chemistry for feed ingredients, as observed in 36% of studies, helped reduce linear biases across all systems, emphasizing the importance of precise ingredient characterization. 

Overall, NRC and NASEM showed vital prediction accuracy for EAA outflows, with NASEM excelling in predicting absolute values and NRC in adapting to dietary changes. Despite CNCPS’s broader mean and linear biases, it still offers valuable insights, making the system choice dependent on specific nutritional priorities.

Addressing Mean and Linear Biases in Feed Evaluation Systems

Understanding and addressing biases in feed evaluation systems is crucial for improving amino acid (AA) prediction models. Our meta-analysis of the NRC, CNCPS, and NASEM systems revealed significant insights into their predictive capabilities. 

Mean and linear biases were considered concerning if statistically significant and exceeding 5% of the observed mean, mitigating Type I errors and ensuring actual predictive discrepancies. 

Examining raw observed values, NRC tended to underpredict most essential amino acids (EAA) outflows, with deviations between 5.3% and 8.6% of the observed mean, except for Leu, Lys, and Val. NASEM overpredicted Lys by 10.8%, indicating a need for refinement. CNCPS overpredicted multiple EAAs, with biases from 5.2% to 26.0% for Arg, His, Lys, Met, and Val, suggesting algorithm adjustments. 

Regression analyses indicated that reporting the measured chemistry of crude protein and EAA in feed ingredients, present in 36% of studies, significantly reduced linear biases in all three systems, emphasizing the importance of accurate input data. 

Sampling site differences, particularly between omasal and duodenal studies, also affected mean biases for Met outflows. NRC showed better concordance in duodenal studies, while CNCPS was more accurate in omasal studies. This suggests that feed evaluation system applicability may vary with sampling methodology, warranting a nuanced model application approach. 

This analysis highlights the strengths and limitations of current feed evaluation systems, prompting further refinements for enhanced accuracy and reliability. Addressing biases and leveraging precise feed composition data are essential for advancing dairy feed evaluation frameworks.

Impact of Study Adjustments on EAA Predictions

Adjusting data for the random effect of the study revealed notable changes in the feed evaluation systems’ ability to predict EAA outflows. These adjustments are crucial for reducing biases from study-specific variations, providing a clearer picture of predictive capabilities. The Concordance Correlation Coefficient (CCC), indicating predictive agreement, ranged from 0.34 to 0.55, showing moderate reliability across the systems. 

NRC showed an advantage in predicting EAA responses to dietary changes, with biases of concern for only two amino acids. This could be due to NRC’s fine-tuned foundational equations. In contrast, NASEM and CNCPS displayed more significant biases, with NASEM having four and CNCPS six EAA with linear biases of concern. 

Interestingly, measured crude protein and EAA chemistries in feed ingredients—reported in 36% of the studies—significantly decreased linear biases in all three systems. This underscores the importance of precise ingredient characterization in improving prediction accuracy. 

Histidine (His) outflows showed linear biases of concern across all three systems, suggesting a common modeling issue for this amino acid. Additionally, methodological differences between duodenal and omasal studies are notable; NRC showed better concordance for methionine (Met) in duodenal studies. CNCPS exhibited lesser mean bias in omasal studies. 

Overall, these adjustments highlight the complexities in predicting EAA outflows. While NRC and NASEM are relatively reliable, each with unique strengths, CNCPS’s significant biases suggest a need for refinement. Future work should focus on identifying and correcting the causes of these biases to enhance nutritional precision for dairy cows.

The Bottom Line

The comparative analysis of NRC, CNCPS, and NASEM systems revealed distinct performance traits in predicting post-ruminal outflows of essential amino acids (EAA) in dairy cows. NRC and NASEM demonstrated solid accuracy, with NASEM slightly better at predicting absolute values and NRC superior in dietary change responses. In contrast, CNCPS showed significant biases for various EAAs. 

These insights are crucial for dairy farmers and researchers. Accurate EAA outflow predictions are vital in formulating balanced rations, optimizing milk production, and enhancing overall herd health. The study highlights the need to choose the right evaluation system for absolute values or diet changes. The choice of sampling site, duodenal or omasal, also affects EAA prediction accuracy, which is vital for effective feeding strategies

Future research should focus on reducing biases in feed evaluation systems and improving EAA prediction methods. Developing advanced models that include data from various sampling sites is essential. Further exploration into feed ingredient chemistry and its effects on EAA outflows will drive advancements in dairy nutrition, benefiting both economic and animal welfare outcomes.

Key Takeaways:

  • Essential Nutrients: Accurate prediction of EAA outflows enables better nutritional planning for dairy cows, leading to improved growth, milk production, and overall health.
  • Evaluation Systems: This study compares NRC, CNCPS, and NASEM in terms of their ability to predict postruminal amino acid outflows.
  • Meta-Analysis Scope: The data set includes 354 treatment means from 70 duodenal and 24 omasal studies, ensuring a comprehensive comparison across various methodologies.
  • Bias Consideration: Mean and linear biases are critical factors, flagged if statistically significant and representing more than 5% of the observed mean, to avoid Type I error.
  • Consistent Findings: NRC and NASEM are consistent in their predictions, with NASEM slightly better at predicting absolute values and NRC being superior in predicting dietary change responses. CNCPS, however, exhibits mean and linear biases for numerous EAAs.
  • Practical Applications: Understanding the accuracy and biases of these systems can help farmers and dieticians in optimizing diet formulations, thereby improving the effectiveness of dairy production practices.

Summary: The dairy industry relies on a balance between nutrition and productivity, with essential amino acids (EAA) playing a crucial role in cow health, growth, and milk production. Advanced feed evaluation systems help farmers predict and optimize EAA outflows. This study compares Total Mixed Ration (TMR) and Partial Mixed Ration (PMR) to determine the most reliable predictions for predicting post-ruminal EAA outflows. TMR ensures balanced nutrient intake, improving amino acid absorption and promoting stable rumen fermentation. PMR offers flexibility and is cheaper but may lead to inconsistent nutrient intake and imbalanced nutrition. Both systems have merits and limitations, depending on farm-specific factors. Implementing the right feeding strategy with accurate feed evaluation optimizes amino acid absorption, ensuring better productivity and health in dairy cows.

Send this to a friend