“number of sympodial branches per plant, total dry matter production per plant and absolute growth rate (13.82, 140.14 g and 1.81 g plant-1 day-1, respectively on pooled basis) and yield attributes viz., number of bolls per plant and boll weight (12.74 and 3.68 g, respectively on pooled basis) were significantly higher at a wider row spacing of 90 cm x 10 cm”
“Among genotypes, Leaf Area Index (LAI), Absolute Growth Rate (AGR), Relative Growth Rate (RGR), Net Assimilation Rate (NAR) were recorded with Bt (KCH-14 K59 BG II) compared to Non-Bt (ADB-542)”
e2
“A field experiment was conducted at College Farm, Agricultural College, Rajendranagar, Hyderabad, during kharif 2019-20 and 2020-21”
e3
“to study the effect of genotypes and integrated nutrient management practices on growth of HDPS cotton”
“Sweep-net sampling was evaluated as a method of sampling populations of adult western spotted cucumber beetles (WSCB), Dtabrotica undecimpunctata undecimpunctata Mannerheim, in snap beans, Phaseolus vulgaris L.”
e2
“Subsequent mean/initial mean ratios were negatively correlated (R2 = 0.72) with the amount of increase in solar radiation intensity between initial and subsequent sampling episodes”
“marginal growth of laurel trees, with an average yield of 125.26 m3 ha−1 (±15.39) and MAI of 13.92 m3 ha−1 at 9 years of age with a tree density of 418 trees ha−1”
t0
“Laurel”
e1
“The intensive thinning treatment, leaving 200 trees ha−1, caused the greatest annual increase in individual tree DBH (2.03 cm) and basal area (61.37 cm2) in both absolute and relative terms and improved tree height/diameter ratio”
“Sweep-net sampling was evaluated as a method of sampling populations of adult western spotted cucumber beetles (WSCB), Dtabrotica undecimpunctata undecimpunctata Mannerheim, in snap beans, Phaseolus vulgaris L.”
e1
“Field means of beetle counts in sweep-net samples collected after the initial sampling episode (subsequent means) were significantly lower than the field mean of initial samples collected in the same field (initial mean) in 16 of 42 comparisons”
“At the 1° baseline, the tested global pipeline implementation reduced the root mean square reprojection error (RMSRE), point-density coefficient of variation (CV), vertical root mean square error (VRMSE), and the 95th percentile of the absolute point-cloud distance values (P95) by 15.05%, 14.08%, 39.87%, and 33.33%, respectively, and increased average phenotypic accuracy from 96.08% to 97.37%, compared with the teste…” Show full quote
e2
“In contrast, the tested incremental implementation showed a lower voxel void ratio and shorter processing time”
“At the 1° baseline, the tested global pipeline implementation reduced the root mean square reprojection error (RMSRE), point-density coefficient of variation (CV), vertical root mean square error (VRMSE), and the 95th percentile of the absolute point-cloud distance values (P95) by 15.05%, 14.08%, 39.87%, and 33.33%, respectively, and increased average phenotypic accuracy from 96.08% to 97.37%, compared with the teste…” Show full quote
“At the 1° baseline, the tested global pipeline implementation reduced the root mean square reprojection error (RMSRE), point-density coefficient of variation (CV), vertical root mean square error (VRMSE), and the 95th percentile of the absolute point-cloud distance values (P95) by 15.05%, 14.08%, 39.87%, and 33.33%, respectively, and increased average phenotypic accuracy from 96.08% to 97.37%, compared with the teste…” Show full quote
e2
“In contrast, the tested incremental implementation showed a lower voxel void ratio and shorter processing time”
“At the 1° baseline, the tested global pipeline implementation reduced the root mean square reprojection error (RMSRE), point-density coefficient of variation (CV), vertical root mean square error (VRMSE), and the 95th percentile of the absolute point-cloud distance values (P95) by 15.05%, 14.08%, 39.87%, and 33.33%, respectively, and increased average phenotypic accuracy from 96.08% to 97.37%, compared with the teste…” Show full quote
“At the 1° baseline, the tested global pipeline implementation reduced the root mean square reprojection error (RMSRE), point-density coefficient of variation (CV), vertical root mean square error (VRMSE), and the 95th percentile of the absolute point-cloud distance values (P95) by 15.05%, 14.08%, 39.87%, and 33.33%, respectively, and increased average phenotypic accuracy from 96.08% to 97.37%, compared with the teste…” Show full quote
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