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Artificial intelligence aids in predicting sugarcane field performance: Study

According to a Brazilian study published in Scientific Reports, artificial intelligence (AI) can be used to develop efficient models for the genomic selection of sugarcane and forage grass varieties and predict their field performance based on their DNA. ....

Theodorus Meuwissen , University Of Campinas Center , Institute Of Biology , Norwegian University Of Life Sciences , University Of Sao Paulo , Scientific Reports , Alexandre Hild Aono , State University , Molecular Biology , Genetic Engineering , Federal University , Sao Paulo , Anete Pereira De Souza , Norwegian University , Life Sciences , Ews India ,

Scientists identify genes potentially responsible for sugarcane's resistance to pests, cold and drought

Scientists identify genes potentially responsible for sugarcane's resistance to pests, cold and drought
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Rio De Janeiro , Estado Do Rio , United Kingdom , British Columbia , University Of Northern Rio De Janeiro , University Of British Columbia , Paulo Research Foundation , Institute Of Biology , University Of Campinas , State University , Plant Science , Molecular Biology , Genetic Engineering , Anete Pereira De Souza , Northern Rio De Janeiro ,