Skip to main content

Mike Gore, Ph.D. '09, plant geneticist in the College of Agriculture and Life Sciences, explains corn breeding at Musgrave Research Farm in Aurora, New York, in August.

皮卡丘直播app污下载安装

Mike Gore, Ph.D. ’09, hears the clock ticking. And while it’s not an alarm clock, it’s part of what gets him going every day.

Gore, associate professor of molecular breeding and genetics for nutritional quality, Liberty Hyde Bailey professor and international professor of plant breeding and genetics, conducts research at the intersection of several disciplines. His lab uses quantitative genetics, genomics, analytical chemistry and remote sensing to explore the genetic basis of trait variation in crops such as corn, oat and cassava.

A TerraSentia robot, which is being trained to perform remote diagnostics on individual corn plants, moves between rows of corn at Musgrave Research Farm in Aurora, New York.

Plant breeding has been going on for 10,000 years, he said, but technology – unmanned aerial vehicles (UAVs), robots, artificial intelligence (AI) and machine learning – is revolutionizing the practice.

“One role that we plant breeders can play is to learn how to integrate these cutting-edge technologies into research programs,” he said, “so that we can more efficiently and effectively select [plant variations] for the high-yielding, or highly nutritious, cultivar that can help feed the world’s population.”

初恋视频成版人

Feeding the world’s population: It’s a huge challenge for plant breeders, he said, as well as researchers in other disciplines. Cornell is addressing it with the Cornell Initiative for Digital Agriculture (CIDA), which is leveraging digital innovations in agriculture to improve the sustainability, profitability, resiliency and efficiency of the world’s food systems. Gore is in the CIDA leadership group.

Currently at around 7.6 billion people, Earth’s population is expected to reach around 10 billion by 2050. How will we feed all those people in an efficient and sustainable way?

Gore admits that, although there’s still time to come up with viable solutions, he’s feeling the urgency.

“I think all plant scientists do,” Gore said. “We all share that passion, but we definitely hear that clock ticking. Let’s hope it’s not a timebomb.”

Gore’s lab uses “rapid phenotyping” – the ability to non-destructively measure a plant’s morphological, physiological, and biochemical properties in real time repeatedly over the course of a growing season, as opposed to waiting until harvest. That could help reduce the time it takes to develop crop varieties that are optimal for a particular region or climate.

“With these new technologies, we’re able to do phenotyping every day, every week, every month, to know how the plant is responding to the environment over whole growing seasons,” Gore said.

Among other crops, Gore’s lab focuses on corn – including corn grown in upstate New York – and the development of variations that are best suited to the short growing season and weather conditions. His lab employs camera-wielding UAVs – drones – and four-wheeled robots to perform real-time diagnostics of scores of corn varieties at the Musgrave Research Farm in Aurora, New York, about 24 miles north of campus.

This past summer, his shared 3-acre cornfield contained approximately 800 highly diverse hybrids, each in two-row mini-plots, from which his team will try to identify the best varieties for growing in the upstate region.

Gore’s team – in collaboration with the lab of Ed Buckler, adjunct professor of plant breeding and genetics – is developing AI for the autonomous vehicles that can count individual plants, measure plant height and check individual leaves for disease, among other tasks. And he can perform diagnostics on the plant at any point in its growth process.

“It’s like knowing a baseball player’s batting average in July, as opposed to just at the end of the season,” he said. “We’re trying to identify the key plant developmental stage that you can do the phenotyping on, so that it could be predictive of yield at the end of the season.

“If you had that capability,” he said, “then you’d know what plants to cross-breed before the pollen’s even been shed.”

By using technology to detect key traits in midseason, Gore said, he can perhaps develop more precise breeding methods – and shorten the breeding timeline “from six to eight years, to maybe four or five” as the technologies are developed.

He envisions a day when a robot or drone can not only facilitate rapid phenotyping, but also detect fungal diseases or weeds and immediately dispense a fungicide or herbicide in a precise dose, at just the right coordinate in the field. And while there will always be humans on a farm, Gore thinks a role-reversal could be in the offing.

“If we can train the robots, perhaps someday the robots will be training us to do very precise plant breeding,” he said. “We have more than 800 highly diverse hybrids in this field [at Musgrave]. Which one is the best for growing here, and why? Those are the questions we’re trying to answer. … We’re trying to closely model the biological reality of a plant. I would argue that, over time, robots can probably do it even better than human beings. That’s what we’re kind of on the cusp of right now.”

Developing a corn variety that’s best suited for upstate New York is one of many challenges Gore and researchers like him are tackling as the specter of feeding 10 billion people looms.

“All of these tools are going to be important for food and nutrition security,” he said. “How do we figure out how to use these technologies for crops such as cassava, rice, maize, wheat that all of these developing nations are relying on for nourishment?

“How do we turn the engine of evolution faster in plant breeding?” he asked. “We have to totally change the paradigm that we’ve been in for the past 10,000 years.”

忻州盈百皇设备有限公司

马尔康如顺伟服务有限公司

兴城晶满荣设备有限公司

快猫app污下载安装 烟花直播成版人 花椒直播app下载免费 陌秀直播成版人 秀色直播app下载免费 ML聚合直播app污下载安装 老王视频app下载免费 硬汉视频成版人 91视频成版人 蓝精灵直播成版人 初恋直播成版人 红杏视频成版人 富二代f2短视频成版人 橙子视频app污下载安装 茄子app污下载安装 食色短视频app污下载安装 斗艳直播app下载免费 黄瓜成版人 花心app污下载安装 久草视频成版人 暗夜直播app污下载安装 成版人短视频成版人 七仙女直播app污下载安装 小喵直播app污下载安装 丝瓜视频污成版人 樱花app污下载安装 橘子直播成版人 荔枝app下载免费 豆奶视频app下载免费 樱桃视频app污下载安装 依恋直播app污下载安装 大西瓜视频app下载免费 夏娃直播app下载免费 初恋直播成版人 咪哒直播app下载免费 s8视频成版人 豆奶app下载免费 主播福利成版人 橘子直播app污下载安装 花心视频app下载免费 棉花糖直播成版人 蜜蜂视频app污下载安装 富二代f2抖音app下载免费 樱花雨直播app下载免费 灭火卫视成版人 成版人茄子视频成版人 豆奶短视频app污下载安装 成版人抖音成版人 秋葵视频成版人 丝瓜成版人 秀儿直播app下载免费 套路直播成版人 左手视频app下载免费 小公主直播app污下载安装 花秀神器成版人 美岁直播app下载免费 水果视频app下载免费 烟花直播app污下载安装 硬汉视频成版人 香蜜直播app污下载安装 年华直播app污下载安装 快狐app污下载安装 草莓app下载免费 成版人音色短视频成版人 云上花直播app下载免费 皮卡丘直播app下载免费 嘿嘿连载成版人 9uuapp下载免费 年轻人片成版人 草鱼app下载免费 茄子直播app下载免费 草鱼app下载免费 免费黃色直播app下载免费 月亮直播成版人 蘑菇视频app下载免费 本色视频app下载免费 七仙女直播成版人 夜夜直播成版人 大小姐直播成版人 享爱直播app污下载安装 灭火卫视app下载免费 食色短视频app下载免费 污直播app污下载安装 小奶狗app下载免费 梦露直播app污下载安装 番茄社区app下载免费 音色短视频app下载免费 骚虎直播app下载免费 swag视频app污下载安装 快狐短视频成版人 茄子直播成版人 棉花糖直播成版人 野花视频app污下载安装 梦幻直播app污下载安装 红娘直播成版人 抖阴成版人 小姐姐直播成版人 乐购直播成版人 黄瓜app污下载安装 雨燕直播app污下载安装 成人快手成版人 大小姐直播app污下载安装 JOJO直播app下载免费 鸭脖视频app下载免费 七秒鱼app下载免费 啪嗒视频成版人 秀儿直播app下载免费 黄色直播软件app污下载安装 依恋直播app污下载安装 美梦视频成版人 橘子直播app下载免费 葡萄视频成版人 初恋视频app污下载安装 望月直播app下载免费 探探直播app下载免费 恋人直播app污下载安装 杏花直播app下载免费 大西瓜视频app下载免费 小怪兽成版人 大秀直播app下载免费 抖阴直播成版人 抖阴视频app下载免费 彩云直播app下载免费 云雨直播app污下载安装 蝶恋花直播app下载免费 A头条成版人 梦幻直播app下载免费 茄子视频app污下载安装 番茄直播app污下载安装 嘿嘿连载成版人 快狐短视频app污下载安装 食色短视频app污下载安装 年华直播成版人 樱花app下载免费 花姿直播app下载免费 蓝精灵直播app污下载安装 菠萝菠萝蜜视频app污下载安装 趣播app污下载安装 番茄直播app污下载安装