Table_3_Transcriptome Profiling-Based Analysis of Carbohydrate-Active Enzymes in Aspergillus terreus Involved in Plant Biomass Degradation.XLSX by Camila L. Corrêa (9463088)

“…<p>Given the global abundance of plant biomass residues, potential exists in biorefinery-based applications with lignocellulolytic fungi. …”

Table_5_Transcriptome Profiling-Based Analysis of Carbohydrate-Active Enzymes in Aspergillus terreus Involved in Plant Biomass Degradation.DOCX by Camila L. Corrêa (9463088)

“…<p>Given the global abundance of plant biomass residues, potential exists in biorefinery-based applications with lignocellulolytic fungi. …”

<b>Linking morpho-taxonomy to ecosystem functions: trait-based estimation of biomass and potential carbon budget in omnivore nematodes</b> by Reza Ghaderi (20779415)

“…<p dir="ltr">Omnivore nematodes within the order Dorylaimida are among the largest free-living soil-dwelling nematodes, suggesting a significant role in soil biomass and carbon cycling. …”

Relationship between above-ground biomass carbon stock and the probability of tiger occupancy (after Barber et al. [41]). by Kanchan Thapa (4093234)

Mixing proportions and spawning stock biomass of Baltic cod stocks. by Franziska Maria Schade (13876514)

A hybrid method for forest aboveground biomass estimation: fusion of individual tree- and area-based approaches over northeast China by Zhen Zhen (465713)

“…<p>Currently, large-scale above-ground biomass (AGB) estimation mainly depends on the area-based approach (ABA). …”

Box plots showing baseline prevalence and mean egg count at pre-MDA1 in districts that were responders compared to those that were persistent hotspots of decreasing praziquantel ef... by Takafira Mduluza (39754)

Table 1_Decadal-scale urban footprints on seagrass blue carbon dynamics in Palk Bay, India: a remote sensing based framework.docx by Rajamohanan Pillai Ranith (22589207)

“…</p>Methods<p>By integrating decadal satellite-based urbanization metrics with in-situ measurements of seagrass biomass and sediment organic carbon at four sites (Pamban, Mandapam North, Devipattinam, Thondi) for the periods 2010 and 2022, we quantified how the urban expansion affected the seagrass biomass and sediment carbon storage potential. …”

Distribution of aboveground carbon – CAar, herbaceous carbon – CAhe, and litter carbon – CAho, stored in the mosaics and vegetation cover types of agroforestry and silvopastoral la... by Jenniffer Tatiana Díaz-Cháux (21587359)

Image 5_Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasm.jpeg by Shiva Om Makaju (22116274)

“…These visualizations aided in distinguishing genotypes with stable and superior biomass yield across contrasting environments. Overall, the BLUP-based DAI is a robust and practical selection tool that improves the accuracy of identifying drought-resilient, high-yielding switchgrass genotypes. …”

Image 4_Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasm.jpeg by Shiva Om Makaju (22116274)

“…These visualizations aided in distinguishing genotypes with stable and superior biomass yield across contrasting environments. Overall, the BLUP-based DAI is a robust and practical selection tool that improves the accuracy of identifying drought-resilient, high-yielding switchgrass genotypes. …”

Table 1_Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasm.docx by Shiva Om Makaju (22116274)

“…These visualizations aided in distinguishing genotypes with stable and superior biomass yield across contrasting environments. Overall, the BLUP-based DAI is a robust and practical selection tool that improves the accuracy of identifying drought-resilient, high-yielding switchgrass genotypes. …”

Image 2_Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasm.jpeg by Shiva Om Makaju (22116274)

“…These visualizations aided in distinguishing genotypes with stable and superior biomass yield across contrasting environments. Overall, the BLUP-based DAI is a robust and practical selection tool that improves the accuracy of identifying drought-resilient, high-yielding switchgrass genotypes. …”

Image 6_Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasm.jpeg by Shiva Om Makaju (22116274)

“…These visualizations aided in distinguishing genotypes with stable and superior biomass yield across contrasting environments. Overall, the BLUP-based DAI is a robust and practical selection tool that improves the accuracy of identifying drought-resilient, high-yielding switchgrass genotypes. …”

Image 3_Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasm.jpeg by Shiva Om Makaju (22116274)

“…These visualizations aided in distinguishing genotypes with stable and superior biomass yield across contrasting environments. Overall, the BLUP-based DAI is a robust and practical selection tool that improves the accuracy of identifying drought-resilient, high-yielding switchgrass genotypes. …”

Table 2_Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasm.docx by Shiva Om Makaju (22116274)

“…These visualizations aided in distinguishing genotypes with stable and superior biomass yield across contrasting environments. Overall, the BLUP-based DAI is a robust and practical selection tool that improves the accuracy of identifying drought-resilient, high-yielding switchgrass genotypes. …”

Image 1_Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasm.jpeg by Shiva Om Makaju (22116274)

“…These visualizations aided in distinguishing genotypes with stable and superior biomass yield across contrasting environments. Overall, the BLUP-based DAI is a robust and practical selection tool that improves the accuracy of identifying drought-resilient, high-yielding switchgrass genotypes. …”

Effect of silicon sources and silicon application methods on pupa survival percentage, pupa duration (days), and pupa biomass(mg) of fall armyworm feeding on maize plants. by Inzamam Ul Haq (11668620)

Subjects:

Effect of silicon sources and silicon application methods on (a) pupal survival percentage, (b) pupa duration (days), and (c) pupa biomass (mg) of fall armyworm. by Inzamam Ul Haq (11668620)

Subjects:

Bar plot of multiple comparisons of means using Tukey’s honest significant difference (HSD) test. by Ghulam Sarwar (5900315)