Feedstuffs in Focus

Right bug, right drug, right time

Antibiotics can save pigs and protect performance, but only when we stop treating “a problem” and start treating the right pathogen at the right moment. We sit down with Dr. Megan Hindman, swine technical consultant with Elanco Animal Health, to break down what smart antibiotic use actually looks like on farm and why so many disappointing outcomes trace back to one issue: mismatch. Wrong bug, wrong drug, wrong time. We walk through the real-world decision tree producers face, starting with diagnostics. Dr. Hindman explains how timely lab work and past herd history help narrow the cause, then how to choose a therapy that reaches the target tissue where disease is happening. From there we compare common swine antibiotic delivery options feed medication for planned challenges, water medication for fast barn-wide treatment when pigs are drinking well, and injectables when you need certainty that each animal receives a full dose. The conversation also zooms out to antimicrobial stewardship and long-term sustainability. Vaccination, biosecurity, ventilation, and feed management form the foundation, while antibiotics act as the sealant that closes gaps. The big takeaway is simple and demanding: prevention first, treatment second, paired with early detection by the people closest to the pigs every day. Subscribe for more practical swine health conversations, share this with your team, and leave a review if it helped. What’s the hardest part of getting treatments right on your farm?

Layer immune health control programs go beyond single fix

Immune health is one of those topics everyone agrees matters, yet it’s easy to oversimplify until a flock starts slipping in ways you can’t explain. We’re joined by William Stanley, senior key account veterinarian with Boehringer Ingelheim, to get practical about what “strong immunity” really means for layer flock health and day to day decision making on farms. We start with what Stanley calls the immune health triad (also known as the disease triad): the host bird, the pathogen and the environment. That simple model helps us make sense of messy real-world cases where more than one factor is changing at once. We talk through the immunology terms vets use, the classic immunosuppressive threats like infectious bursal disease and chicken anemia virus, and why emerging pressures can look like “everything is off” instead of one clear diagnosis. Then we dig into what’s keeping poultry veterinarians up at night, including renewed attention on Marek’s disease and the idea that field strains may be evolving in ways that drive immunosuppression even with solid vaccination and good technique. From there, we lay out control strategies that go beyond a single fix: tightening vaccine programs, checking air quality and other environmental stressors, and staying alert to feed risks like mycotoxins. We also connect immune status to food safety, since opportunistic bacteria such as Salmonella, Campylobacter and E. coli can take advantage when immunity is compromised. If you care about layer performance, disease prevention, vaccination strategy, and practical poultry health management, this conversation will give you a clearer framework and smarter questions to ask. Subscribe, share the episode with a colleague, and leave a review with the immune-health challenge you’re seeing most right now.

Smart bets in uncertain ag markets

Uncertainty in agriculture is hitting differently right now, not because we have never dealt with risk, but because so many forces are moving at the same time. Commodity price volatility, stubborn input costs, geopolitical shocks, tighter regulation, and fast-changing farm technology are stacking up and making it harder to know what to do next. So we sit down with Emily Sword, Vice President at Inspire, to get practical about how farms and agribusiness leaders can plan without pretending the chaos is going away.  Emily brings both sides of the story: a fifth-generation farm background and years leading brand strategy in the corporate world. We talk risk management and business planning that actually works in a choppy agriculture market, including three anchors we keep coming back to: focus on what you can control, stay relentlessly close to customer needs, and decide what you want your business to look like on the other side of this cycle. When you have that long-term vision, short-term choices get clearer.  We also dig into making change feel less like a gamble by treating it as a series of small experiments. That means setting a hypothesis, defining success, running a pilot, and scaling only what proves out, whether that’s biologics, new seed approaches, precision ag tools, or drone application methods. On the communications side, Emily breaks down how to learn what customers really think through interviews, focus groups, segmentation, personas, and then validating themes with surveys at scale.  If you’re trying to stay steady, build brand trust, and make smarter bets in an uncertain ag economy, this conversation will give you a grounded playbook. Subscribe, share this with a colleague, and leave a review, then tell us what experiment you’re running next.

Ceasefire does little to ease fertilizer market woes

A ceasefire can change the mood overnight, but it cannot instantly move ships, lower insurance, or restore trust in a trade lane that suddenly feels risky. We sit down with Chris Vlachopoulos, fertilizer specialist and senior editor at ICIS [https://www.icis.com/explore/about/?cmpid=PSC|CHEM-2025-02-AMER-ICIS|General&sfid=701dP00000EJokKQAT&keyword=icis&matchtype=e&cmpid=PSC|ICIS|CHLEG-2023-09-GLOBAL-GG_core_brand|all&sfid=7014G000001oHVGQA2&keyword=icis&matchtype=e&gad_source=1&gad_campaignid=21636386106&gbraid=0AAAAAD_hXA-5LVdBjMcGcdQ1CsOs_uvui&gclid=CjwKCAjwnN3OBhA8EiwAfpTYetmJK3I291JuyiVJw3fR-nxekMNJgyC8UNG0bL-NAk9gb_r6ZcQgHxoCo1oQAvD_BwE], to unpack what the U.S. and Iran two-week ceasefire really means for the fertilizer market and for anyone watching input costs ahead of planting season.  We dig into the disconnect between improved sentiment and stubborn reality: reports of no inbound traffic, significant volumes of fertilizer stuck in transit, and freight and insurance premiums that keep pressure on delivered prices. Chris explains why urea reacts so violently, how the market can change fast, and why a “return to normal” is hard when logistics remain constrained. We also map out which products carry the most exposure, from urea and ammonia to sulfur, sulfuric acid, and the knock-on impact those feedstocks can have on phosphate fertilizer pricing.  From there, we look at who feels it first and longest. India’s seasonal demand, Australia’s delayed shipments, and Europe’s demand destruction each tell a different story about availability and affordability. We also talk through what higher fertilizer and fuel costs can force at the farm gate, including crop pivots, reduced applications, and the risk that higher production costs eventually show up in consumer food prices. If you want a clear, practical read on fertilizer prices, global supply chains, and agricultural market risk, press play, then subscribe, share the episode, and leave a review. What signal are you watching next?

AI for early poultry disease detection

In a poultry barn, disease does not wait for the next walk-through. We sit down with Dr. Guoming Li of the University of Georgia to talk about a practical question every grower and integrator faces: how do you catch health problems early enough to protect animal welfare, reduce losses, and safeguard food safety when time and labor are limited? We explore precision poultry farming tools that turn everyday signals into early warnings. Dr. Li breaks down how thermography and machine learning can detect temperature shifts linked to avian influenza and Newcastle disease, and why focusing on non-feathered regions like the head and legs improves accuracy by reducing ambient-temperature noise. We also discuss how image-based diagnostics can fit into real farm routines, including the idea of a smartphone app that uses deep learning and transfer learning to classify fecal images for Salmonella risk assessment without adding expensive sensors. Then we tackle the hard part: trust. When a model trained on one dataset fails on another region or housing system, it exposes the generalizability problem that still holds back AI disease detection. We also look at behavioral analytics, including the broiler activity index and computer vision tracking of movement patterns, as biomarkers for illness, stress, and abnormal conditions. Finally, we zoom out to what makes AI reliable in animal health: curated datasets, rigorous validation, and science-based inference instead of confident guesses. If you care about poultry health monitoring, biosecurity, and practical AI on farms, listen now, share this with a colleague, and leave a review so more people can find the show. What signal do you think will become the most trusted early-warning tool: heat, images, or behavior?