In this episode of The Crop Science Podcast Show, Dr. Samuel Fernandes, assistant professor of agricultural statistics and quantitative genetics at the University of Arkansas, discusses the evolving field of plant breeding. Dr. Fernandes elaborates on the importance of quantitative genetics, machine learning, and data science integration in enhancing crop yields and stability. Listen now to gain expert knowledge and stay at the forefront of crop production advancements.

"The integration of statistical models and data science in plant breeding helps us develop stable cultivars across different environments."

• (00:00) Introduction
• (03:10) Multi-Omics in plant breeding
• (04:40) Importance of quantitative genetics
• (10:27) Bridging data and farm application
• (16:00) AI applications in crop science
• (24:18) Breakthroughs in plant breeding
• (29:00) Final three questions

Meet the guest: Dr. Samuel Fernandes is an Assistant Professor of Agricultural Statistics and Quantitative Genetics at the University of Arkansas. Specializing in quantitative genetics, plant breeding, and genomics, he has significant research experience from the University of Illinois Urbana-Champaign, focusing on genomic selection and GWAS in biomass sorghum. He holds a Ph.D. and a Master's in Genetics and Plant Breeding from the Federal University of Lavras and a Bachelor's in Agronomy from the University of Brasilia. Dr. Fernandes uses statistical models and data science to enhance crop yields.

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𝗟𝗶𝘀𝘁𝗲𝗻 𝗼𝗻 𝗔𝗽𝗽𝗹𝗲 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀, 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗼𝗿 𝗮𝗻𝘆 𝗺𝗮𝗷𝗼𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.