{"id":3604,"date":"2025-05-19T11:56:32","date_gmt":"2025-05-19T11:56:32","guid":{"rendered":"https:\/\/agrosynapsis.com\/?p=3604"},"modified":"2025-05-19T15:36:12","modified_gmt":"2025-05-19T15:36:12","slug":"mendel-qtls","status":"publish","type":"post","link":"https:\/\/agrosynapsis.com\/es\/mendel-qtls\/","title":{"rendered":"Is it possible to mendelize the QTLs? When Quantitatitve Traits Behave like Mendelian Ones"},"content":{"rendered":"

In many breeding programs, I’ve seen segregating generations full of potential\u2014but often their trait data gets ignored. And yet, those segregations offer a glimpse into the mode of inheritance, pointing to more strategic breeding decisions.

Understanding the difference between mendelian versus quantitative inheritance is the key. \ud835\udde0\ud835\uddf2\ud835\uddfb\ud835\uddf1\ud835\uddf2\ud835\uddf9\ud835\uddf6\ud835\uddee\ud835\uddfb \ud835\ude01\ud835\uddff\ud835\uddee\ud835\uddf6\ud835\ude01\ud835\ude00 are typically controlled by one or a few genes, show clear segregation ratios (like 3:1 or 1:2:1), and are mostly stable across environments.
A good example is the fruit skin color in tomato, particularly the difference between red and yellow fruit. This trait is primarily controlled by a single gene, the \ud835\ude06 locus.
On the other hand, \ud835\uddfe\ud835\ude02\ud835\uddee\ud835\uddfb\ud835\ude01\ud835\uddf6\ud835\ude01\ud835\uddee\ud835\ude01\ud835\uddf6\ud835\ude03\ud835\uddf2 \ud835\ude01\ud835\uddff\ud835\uddee\ud835\uddf6\ud835\ude01\ud835\ude00 are controlled by many genes (polygenic), tend to show a continuous range of variation, and are strongly influenced by environmental conditions. Traits like yield, earliness, and drought tolerance fall into this category.

By studying the trait disribution in segregating generations, breeders could:

\u2705\ud835\udddc\ud835\uddf1\ud835\uddf2\ud835\uddfb\ud835\ude01\ud835\uddf6\ud835\uddf3\ud835\ude06 \ud835\ude01\ud835\uddf5\ud835\uddf2 \ud835\ude00\ud835\uddf2\ud835\uddf4\ud835\uddff\ud835\uddf2\ud835\uddf4\ud835\uddee\ud835\ude01\ud835\uddf6\ud835\uddfc\ud835\uddfb \ud835\uddfd\ud835\uddee\ud835\ude01\ud835\ude01\ud835\uddf2\ud835\uddff\ud835\uddfb\ud835\ude00 \ud835\uddfc\ud835\uddf3 \ud835\ude01\ud835\uddff\ud835\uddee\ud835\uddf6\ud835\ude01\ud835\ude00
Examine whether the trait segregates in Mendelian ratios or as a continuous distribution. This provides insight into the number of genes involved and their effect sizes, helping making predictions and designing the selection strategy.

\u2705\ud835\udddc\ud835\uddf1\ud835\uddf2\ud835\uddfb\ud835\ude01\ud835\uddf6\ud835\uddf3\ud835\ude06 \ud835\uddf6\ud835\uddfb\ud835\uddf3\ud835\uddf9\ud835\ude02\ud835\uddf2\ud835\uddfb\ud835\uddf0\ud835\uddf6\ud835\uddfb\ud835\uddf4 \ud835\uddf3\ud835\uddee\ud835\uddf0\ud835\ude01\ud835\uddfc\ud835\uddff\ud835\ude00
Sometimes, a trait that should behave Mendelian appears as quantitative. Environmental stress, varying genetic backgrounds, or interactions between genes (epistasis) might be softening the expression of the trait. Recognizing these modifiers helps in understanding how to stabilize its expression.

\u2705\ud835\udde0\ud835\uddf2\ud835\uddfb\ud835\uddf1\ud835\uddf2\ud835\uddf9\ud835\uddf6\ud835\ude07\ud835\uddf2\u00a0\ud835\udde4\ud835\udde7\ud835\udddf\ud835\ude00
Once a major QTL is identified, use molecular markers to treat it as if it were a Mendelian gene. Control environmental conditions during selection to enhance its expression. This approach makes selection clearer and more effective, even for complex traits.

\ud83d\udd2c \ud835\uddd6\ud835\uddee\ud835\ude00\ud835\uddf2 \ud835\uddf6\ud835\uddfb \ud835\udde3\ud835\uddfc\ud835\uddf6\ud835\uddfb\ud835\ude01: \ud835\udde7\ud835\uddfc\ud835\uddfa\ud835\uddee\ud835\ude01\ud835\uddfc \ud835\udde4\ud835\udde7\ud835\udddf\ud835\ude00 \ud835\uddf3\ud835\uddfc\ud835\uddff \ud835\uddec\ud835\uddf6\ud835\uddf2\ud835\uddf9\ud835\uddf1 \ud835\uddee\ud835\uddfb\ud835\uddf1 \ud835\udde6\ud835\ude02\ud835\uddf4\ud835\uddee\ud835\uddff

This strategy isn\u2019t just theoretical\u2014it\u2019s already delivering results in real breeding programs. By identifying major QTLs and managing them through molecular tools and targeted environments, breeders have successfully transformed complex traits into more manageable ones.

One compelling example comes from tomato breeding, where researchers used markers linked to three major QTLs to create tomato lines with better yield and flavor. By \u201cmendelizing\u201d these QTLs, they turned a complex quantitative trait into a more predictable and selectable one.

\ud83d\udd17 https:\/\/lnkd.in\/dHXFHsCn<\/a>

\ud83d\udce3 So, what about your breeding program? Are there QTLs that you could mendelize?<\/p>\n

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In this post we explore how we can “mendelize” the QTLs<\/p>","protected":false},"author":2,"featured_media":3605,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[46],"tags":[],"class_list":["post-3604","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-knowledge-bites"],"yoast_head":"\nIs it possible to mendelize the QTLs? When Quantitatitve Traits Behave like Mendelian Ones - AgroSynapsis<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/agrosynapsis.com\/es\/mendel-qtls\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Is it possible to mendelize the QTLs? 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