Depending on the species selected, cover crops can also restore nitrogen leached by previous crops, augmenting subsequent crops’ yield potential while minimizing future input costs. Increasingly, cover crops are sown as a second cash crop—a practice, known as “double-cropping,” which benefits the farmer as well as the soil. By extending every cultivated acre’s seasonal production capacity, double-cropping is one intensification practice that’s boosting yields worldwide. Other forms of intensification include spacing crop rows more narrowly—using seed bred for high-density planting—and intercropping, wherein one species is planted among or between the rows of another.
A corollary finding of this research is that not every farm acre should be enlisted for food production. Soils that require intensive inputs to realize the yield potential of hybrids and genetically engineered seeds may not be worth farming, as the costs of remediation could exceed harvest revenues. The greatest yields—and profits—are achieved by selecting arable land and specializing in the crops proven to thrive in local soils and climates, as this maximizes resource efficiencies and concentrates management efforts.
More data, greater precision
Improved soil health unlocks the genetic potential of high-yielding varieties, but it is ably assisted by precision agriculture—the crop-system efficiencies enabled by digital tools and the data they generate—in sustaining the upward trajectory of the yield curve. Rentsche attributes the ongoing profitability of his operation to the yield monitor he first affixed to his combine in 2008. “It taught us to farm better,” he says, citing the bumper-crop effect of more timely and targeted fertilizer applications.
Introduced in the early ’90s, yield monitors furnish farmers with georeferenced data on crop yields and moisture content. Software then converts monitor data into yield maps that reveal over time precisely where—and which kind of—remediation is needed. For Rentsche, 30 years of data affirms the wisdom of targeting interventions to the weakest areas. “I get more yield by bringing the low end up 10 percent,” he says, “than by swinging for the fences on the whole field.”
Data guides Rentsche in every action he takes, helping him realize greater yields while minimizing input costs. He’s prescriptively planting rather than blanketing fields with seed, installing drainage tiles only where needed, applying fertility to just the needier plants, and calibrating nitrogen applications so that they infuse only his grain and not the local or regional watershed.
But digital tools don’t just help farmers achieve greater yields. Most importantly, they provide the insight crucial to profitable decision-making. For example, Rentsche’s biggest gains to date have come from the precision application of a combination fungicide/insecticide. It has improved his yields per acre by 20 bushels by releasing the genetic potential of his seed investment, which produces straighter, sturdier, taller stalks. Since those sturdy stalks extend his harvest window, he’s better able to amortize the annual cost of his equipment. Yet maintaining these gains requires trade-offs. To prevent fungicide resistance, he must rotate either the chemical or the crop it’s used on, as careful stewardship is the key to preserving its economic benefits. “The predictive power these digital tools give me is very useful in analyzing these trade-offs,” he says. “I measure everything, find out what consistently works with the rest of the production system, and put it into practice as prescribed. Data science is my secret sauce.”
No limit in sight
Depending on the species selected, cover crops can also restore nitrogen leached by previous crops, augmenting subsequent crops’ yield potential while minimizing future input costs. Increasingly, cover crops are sown as a second cash crop—a practice, known as “double-cropping,” which benefits the farmer as well as the soil. By extending every cultivated acre’s seasonal production capacity, double-cropping is one intensification practice that’s boosting yields worldwide. Other forms of intensification include spacing crop rows more narrowly—using seed bred for high-density planting—and intercropping, wherein one species is planted among or between the rows of another.
A corollary finding of this research is that not every farm acre should be enlisted for food production. Soils that require intensive inputs to realize the yield potential of hybrids and genetically engineered seeds may not be worth farming, as the costs of remediation could exceed harvest revenues. The greatest yields—and profits—are achieved by selecting arable land and specializing in the crops proven to thrive in local soils and climates, as this maximizes resource efficiencies and concentrates management efforts.
More data, greater precision
Improved soil health unlocks the genetic potential of high-yielding varieties, but it is ably assisted by precision agriculture—the crop-system efficiencies enabled by digital tools and the data they generate—in sustaining the upward trajectory of the yield curve. Rentsche attributes the ongoing profitability of his operation to the yield monitor he first affixed to his combine in 2008. “It taught us to farm better,” he says, citing the bumper-crop effect of more timely and targeted fertilizer applications.
Introduced in the early ’90s, yield monitors furnish farmers with georeferenced data on crop yields and moisture content. Software then converts monitor data into yield maps that reveal over time precisely where—and which kind of—remediation is needed. For Rentsche, 30 years of data affirms the wisdom of targeting interventions to the weakest areas. “I get more yield by bringing the low end up 10 percent,” he says, “than by swinging for the fences on the whole field.”
Data guides Rentsche in every action he takes, helping him realize greater yields while minimizing input costs. He’s prescriptively planting rather than blanketing fields with seed, installing drainage tiles only where needed, applying fertility to just the needier plants, and calibrating nitrogen applications so that they infuse only his grain and not the local or regional watershed.
But digital tools don’t just help farmers achieve greater yields. Most importantly, they provide the insight crucial to profitable decision-making. For example, Rentsche’s biggest gains to date have come from the precision application of a combination fungicide/insecticide. It has improved his yields per acre by 20 bushels by releasing the genetic potential of his seed investment, which produces straighter, sturdier, taller stalks. Since those sturdy stalks extend his harvest window, he’s better able to amortize the annual cost of his equipment. Yet maintaining these gains requires trade-offs. To prevent fungicide resistance, he must rotate either the chemical or the crop it’s used on, as careful stewardship is the key to preserving its economic benefits. “The predictive power these digital tools give me is very useful in analyzing these trade-offs,” he says. “I measure everything, find out what consistently works with the rest of the production system, and put it into practice as prescribed. Data science is my secret sauce.”
No limit in sight