Pearson correlation coefficients for biomass traits in sugarcane
![Pearson correlation coefficients for biomass traits in sugarcane](https://www.researchgate.net/publication/336619157/figure/fig4/AS:963549740408858@1606739568947/Pearson-correlation-coefficients-for-biomass-traits-in-sugarcane-leaf-and-culm-tissues_Q320.jpg)
![](https://www.researchgate.net/profile/Daehwan-Kim-20/publication/338955135/figure/tbl1/AS:853476250755073@1580496003254/Compositional-analysis-of-sugarcane-bagasse-samples-before-and-after-pretreatment-by_Q320.jpg)
Pearson correlation coefficients for biomass traits in sugarcane
![](https://www.researchgate.net/profile/Daehwan-Kim-20/publication/338955135/figure/fig1/AS:853476246573057@1580496002690/Scanning-electron-micrograph-SEM-of-raw-sugarcane-bagasse-liquid-hot-water-pretreated_Q320.jpg)
Pearson correlation coefficients for biomass traits in sugarcane
![](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs12155-016-9801-8/MediaObjects/12155_2016_9801_Fig1_HTML.gif)
High-Throughput Profiling of the Fiber and Sugar Composition of Sugarcane Biomass
![](https://www.biorxiv.org/content/biorxiv/early/2022/06/22/2022.06.21.497116/F2.large.jpg)
Response of sugarcane rhizosphere soil fungal communities on a temporal gradient to changes in critical growth periods
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Transformation of OsGH9B1 and OsGH9B3 produced overexpressed
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Variety-specific sugarcane yield simulations and climate change impacts on sugarcane yield using DSSAT-CSM-CANEGRO model - ScienceDirect
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High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data, Plant Methods
![](https://www.researchgate.net/publication/330260813/figure/fig6/AS:963549253885964@1606739452736/Cell-wall-morphologies-and-compositions-in-the-OsGH9B1-and-OsGH9B3-transgenic-lines-a.png)
Cell wall morphologies and compositions in the OsGH9B1 and OsGH9B3
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Horticulturae, Free Full-Text
![](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs12155-016-9801-8/MediaObjects/12155_2016_9801_Fig3_HTML.gif)
High-Throughput Profiling of the Fiber and Sugar Composition of Sugarcane Biomass
![](https://www.researchgate.net/publication/358599169/figure/fig1/AS:1123595090706438@1644897353724/Breeding-scheme-for-the-generation-of-thefour-AI-RILs-characterized-in-this-study_Q320.jpg)
Gabriella PAPA, Chemist Postdoc Fellow
![](https://www.researchgate.net/publication/358599169/figure/fig4/AS:1123595094900737@1644897354047/Agronomical-tratits-of-the-four-AI-RILs-A-Plant-and-ear-height-at-maturity-SD-are_Q320.jpg)
Gabriella PAPA, Chemist Postdoc Fellow
![](https://www.researchgate.net/publication/358732367/figure/fig1/AS:1125367976865792@1645320042100/Pearson-correlation-analysis-for-different-parameters-among-consecutive-ratooning-A.png)
Pearson correlation analysis for different parameters among consecutive
![](https://www.researchgate.net/publication/363721045/figure/tbl2/AS:11431281085528447@1663783008322/Pearson-Correlation-coefficients-between-Winter-tolerance-index-Winter-sprouting-index.png)
Pearson Correlation coefficients between Winter tolerance index, Winter
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Revealing the relationship between nitrogen use efficiency‐related QTLs and carbon and nitrogen metabolism regulation in poplar - Du - 2023 - GCB Bioenergy - Wiley Online Library