ABACA Activities in the Philippines - Unido

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Ref. No. CFC/FIGHF/09 CFC/UNIDO/FIDA 58 Table 5. Combined analysis of 2 locations and 8 entries on stalk length (cm). Stalk length (cm) Entry Labo Abuyog Abuab 198 b 252 bc Inosa 257 a 213 c Laguis 242 ab 240 bc Lausigon 249 a 241 bc Linawaan 268 a 278 ab Musa Tex 51 243 a 246 bc Maguindanao 248 a 305 a Tangongon 238 ab 222 c Locn NS Entry * Locn * Entry * CV (%) 11.73 In a column, means followed by a common letter are not significantly different at LSD 5% level. 4.3 Relationship of yield components The estimated fiber yield per hectare was computed from the number of harvestable stalks and dry fiber content. To better understand the relationship of these yield determinants among agronomic and plant characters, correlation and regression analysis was conducted. The variables used for this analysis were limited to observations that were independently observed to ensure statistical validity of the results. The relationship among variables, while they may not be directly useful to the farmers, could be of interest to abaca researchers. Number of harvestable stalks Number of harvestable stalks had positive correlation with number of stalks (r=0.49457) while a negative correlation was observed with number of leaf sheaths (r=-0.32975), stalk base diameter (r=-0.40368) and stalk middle diameter (r= -0.2438) (Table 6). This would suggest that as the number of stalks in a hill increases, the number of harvestable stalks likewise increases. On the other hand, as the stalk girth increases, the number of harvestable stalks decreases. Table 6. Correlation of harvestable stalks with other agronomic characters. Characters Correlation Coefficient (r) Probability P > [t] Number of Stalks 0.49
Ref. No. CFC/FIGHF/09 CFC/UNIDO/FIDA 59 Dry fiber content Multiple regression analysis showed the linear dependency of dry fiber content with stalks characters (Table 7). Number of stalks, stalk weight and stalk length were the significant factors determined dry fiber content. The R 2 of the regression equation was 70% indicating a substantial proportion of the variation in the dry fiber content that could be explained by the three yield components. The values of the partial regression coefficients showed that number of stalks has an inverse effect on dry fiber content, b= - 9.57 as opposed to stalk length, b= 6.12, and stalk weight, b= 1.16. These would imply that increase in the number of stalks generally results to a 9.57 reduction in fiber content while a unit increase in each of stalk length and stalk weight results to increase in fiber content by as much as 6.12 and 1.16, respectively. This would also suggest that too many stalks may not be advantageous as the stalks tend to be smaller, slimmer and shorter with less fiber. Table 7. Regression analysis of dry fiber content with other agronomic characters. Variable Partial regression coefficient (b) Probability Pr > [t] Intercept -291.82637
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ABACA Activities in the Philippines - Unido

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