Unlocking the power of AI for phenotyping fruit morphology in Arabidopsis
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DOI: 10.1093/gigascience/giae123
Abstract: Abstract Deep learning can revolutionise high-throughput image-based phenotyping by automating the measurement of complex traits, a task that is often labour-intensive, time-consuming, and prone to human error. However, its precision and adaptability in accurately phenotyping… read more here.
Keywords: deep learning; fruit morphology; morphology; morphology arabidopsis ... See more keywords
Fruit Morphology and Ripening-Related QTLs in a Newly Developed Introgression Line Collection of the Elite Varieties ‘Védrantais’ and ‘Piel de Sapo’
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DOI: 10.3390/plants11223120
Abstract: Melon is an economically important crop with widely diverse fruit morphology and ripening characteristics. Its diploid sequenced genome and multiple genomic tools make this species suitable to study the genetic architecture of fruit traits. With… read more here.
Keywords: qtls; morphology ripening; fruit morphology; morphology ... See more keywords