{"id":32008,"date":"2025-11-23T08:49:07","date_gmt":"2025-11-23T03:04:07","guid":{"rendered":"https:\/\/www.revoscience.com\/en\/?p=32008"},"modified":"2025-11-23T08:49:09","modified_gmt":"2025-11-23T03:04:09","slug":"chinese-researchers-boost-genomic-prediction-accuracy-in-swine-breeding","status":"publish","type":"post","link":"https:\/\/www.revoscience.com\/en\/chinese-researchers-boost-genomic-prediction-accuracy-in-swine-breeding\/","title":{"rendered":"Chinese Researchers Boost Genomic Prediction Accuracy in Swine Breeding"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full is-resized\"><img data-dominant-color=\"6f794f\" data-has-transparency=\"false\" loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"448\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" src=\"https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp\" alt=\"\" class=\"wp-image-32009 not-transparent\" style=\"--dominant-color: #6f794f; width:840px;height:auto\" title=\"\" srcset=\"https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp 640w, https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction-150x105.webp 150w\" \/><figcaption class=\"wp-element-caption\"><em><sup>AI generated Image<\/sup><\/em><\/figcaption><\/figure>\n\n\n\n<p>Deep learning techniques are increasingly being used to predict complex traits in animal and plant breeding. Yet, improving genomic prediction accuracy remains a challenge. <\/p>\n\n\n\n<p>Now, a team of scientists in China has reported promising results using convolutional neural networks (CNNs) to predict swine traits.<\/p>\n\n\n\n<p>The study, published in the <em>Journal of Integrative Agriculture<\/em>, highlights how CNNs can outperform traditional methods when paired with innovative data encoding strategies.<\/p>\n\n\n\n<p>\u201cWe evaluated the CNN model\u2019s performance with different sets of single nucleotide polymorphisms (SNPs) and found that the model performed best with sets of 1,000 SNPs,\u201d said Zhonglin Tang, corresponding author and professor at the Agricultural Genomics Institute in Shenzhen, Chinese Academy of Agricultural Sciences.<\/p>\n\n\n\n<p>Tang and his team introduced a novel encoding method that transforms 16 genotypes into eight binary variables using an expanded one-hot encoding approach. This adjustment significantly improved the CNN\u2019s ability to predict swine traits compared to conventional encoding techniques.<\/p>\n\n\n\n<p>\u201cOur findings suggest that this expanded one-hot encoding method can enhance the accuracy of deep learning models in genomic prediction of economically important swine traits,\u201d Tang explained. \u201cThis has major implications for breeding programs, where genomic prediction is critical to advancing strategies.\u201d<\/p>\n\n\n\n<p>The researchers recommend that future studies continue to refine deep learning methods by incorporating advanced data pre-processing techniques, potentially unlocking further gains in prediction accuracy.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deep learning techniques are increasingly being used to predict complex traits in animal and plant breeding.<\/p>\n","protected":false},"author":2,"featured_media":32009,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62],"tags":[],"class_list":["post-32008","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agriculture"],"featured_image_urls":{"full":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp",640,448,false],"thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction-200x200.webp",200,200,true],"medium":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp",640,448,false],"medium_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp",640,448,false],"large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp",640,448,false],"1536x1536":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp",640,448,false],"2048x2048":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp",640,448,false],"ultp_layout_landscape_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp",640,448,false],"ultp_layout_landscape":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp",640,448,false],"ultp_layout_portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction-600x448.webp",600,448,true],"ultp_layout_square":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction-600x448.webp",600,448,true],"newspaper-x-single-post":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp",640,448,false],"newspaper-x-recent-post-big":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction-550x360.webp",550,360,true],"newspaper-x-recent-post-list-image":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction-95x65.webp",95,65,true],"web-stories-poster-portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction.webp",640,448,false],"web-stories-publisher-logo":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction-96x96.webp",96,96,true],"web-stories-thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2025\/11\/Genomic-Prediction-150x105.webp",150,105,true]},"author_info":{"info":["RevoScience"]},"category_info":"<a href=\"https:\/\/www.revoscience.com\/en\/category\/agriculture\/\" rel=\"category tag\">Agriculture<\/a>","tag_info":"Agriculture","comment_count":"0","_links":{"self":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/32008","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/comments?post=32008"}],"version-history":[{"count":1,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/32008\/revisions"}],"predecessor-version":[{"id":32010,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/32008\/revisions\/32010"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media\/32009"}],"wp:attachment":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media?parent=32008"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/categories?post=32008"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/tags?post=32008"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}