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Statistical Modeling of the Impact of Major Insect Pests of Watermelon on its Agronomic Performance: Linear Regression Perspective

Emmanuel Okrikata1 , Emmanuel Oludele Ogunwolu2 , Ngozi Ifeoma Odiaka3

Section:Research Paper, Product Type: Journal-Paper
Vol.6 , Issue.6 , pp.107-112, Dec-2019


Online published on Dec 31, 2019


Copyright © Emmanuel Okrikata, Emmanuel Oludele Ogunwolu, Ngozi Ifeoma Odiaka . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Emmanuel Okrikata, Emmanuel Oludele Ogunwolu, Ngozi Ifeoma Odiaka, “Statistical Modeling of the Impact of Major Insect Pests of Watermelon on its Agronomic Performance: Linear Regression Perspective,” International Journal of Scientific Research in Biological Sciences, Vol.6, Issue.6, pp.107-112, 2019.

MLA Style Citation: Emmanuel Okrikata, Emmanuel Oludele Ogunwolu, Ngozi Ifeoma Odiaka "Statistical Modeling of the Impact of Major Insect Pests of Watermelon on its Agronomic Performance: Linear Regression Perspective." International Journal of Scientific Research in Biological Sciences 6.6 (2019): 107-112.

APA Style Citation: Emmanuel Okrikata, Emmanuel Oludele Ogunwolu, Ngozi Ifeoma Odiaka, (2019). Statistical Modeling of the Impact of Major Insect Pests of Watermelon on its Agronomic Performance: Linear Regression Perspective. International Journal of Scientific Research in Biological Sciences, 6(6), 107-112.

BibTex Style Citation:
@article{Okrikata_2019,
author = {Emmanuel Okrikata, Emmanuel Oludele Ogunwolu, Ngozi Ifeoma Odiaka},
title = {Statistical Modeling of the Impact of Major Insect Pests of Watermelon on its Agronomic Performance: Linear Regression Perspective},
journal = {International Journal of Scientific Research in Biological Sciences},
issue_date = {12 2019},
volume = {6},
Issue = {6},
month = {12},
year = {2019},
issn = {2347-2693},
pages = {107-112},
url = {https://www.isroset.org/journal/IJSRBS/full_paper_view.php?paper_id=1617},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRBS/full_paper_view.php?paper_id=1617
TI - Statistical Modeling of the Impact of Major Insect Pests of Watermelon on its Agronomic Performance: Linear Regression Perspective
T2 - International Journal of Scientific Research in Biological Sciences
AU - Emmanuel Okrikata, Emmanuel Oludele Ogunwolu, Ngozi Ifeoma Odiaka
PY - 2019
DA - 2019/12/31
PB - IJCSE, Indore, INDIA
SP - 107-112
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract :
Studies on the impact of major pests of watermelon on its agronomic performance are hard to find. This paper presents the relationship between the agronomic performance of watermelon and density of its major insect pests with the aid of correlation and linear regression models using data collected from forty (40 m2) plots grouped into 4 replicates (10 plots/replicate) in field experiments in the early- and late-sown crop of 2016 and 2017 in the Research Farm of Federal University, Wukari, Nigeria. Plant survival rate (%) negatively and significantly (P < 0.05) correlated with each of mean number leaf-feeding beetles, A. gossypii density and B tabaci density in both the early- and late-sown crops of 2016, respectively; with a similar trend in 2017. All parameters significantly (P < 0.05) fitted the linear regression model. Densities of all major pests consistently correlated negatively and significantly with fruit yield. Student’s t-test detected significant differences between the pest and agronomic characters of the early- and late-sown crops of both years. We therefore conclude that watermelon experiences multiple pest infestations whose compositions and intensities vary between seasons and that, their influence on agronomic performance as shown by the coefficient of determination (R2) values (which were indicative of the effect of pests on crop performance) were largely > 50 %. Lower pest infestation (frequency and intensity) was also empirically shown to give rise to better growth indices and higher yields.

Key-Words / Index Term :
Flower sex ratio, leaf-feeding beetles, leaf injury, plant survival rate, total fruit yield

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