AC Bachmann

C Kappes

CJ Patrick

CS Straub

DK Letourneau

E Yábar

FQ Zheng

FS Fernandes

FS Ramalho

GF Silva

HF Kaiser

SA De Bortoli

VR Schmalhofer

WKRE van Wingerden

Scientific Reports

AbstractThe relationship between pests and natural enemies using multivariate analysis on cotton in different spacing has not been documented yet. Using multivariate approaches is possible to optimize strategies to control Aphis gossypii at different crop spacings because the possibility of a better use of the aphid sampling strategies as well as the conservation and release of its natural enemies. The aims of the study were (i) to characterize the temporal abundance data of aphids and its natural enemies using principal components, (ii) to analyze the degree of correlation between the insects and between groups of variables (pests and natural enemies), (iii) to identify the main natural enemies responsible for regulating A. gossypii populations, and (iv) to investigate the similarities in arthropod occurrence patterns at different spacings of cotton crops over two seasons. High correlations in the occurrence of Scymnus rubicundus with aphids are shown through principal component analysis and through the important role the species plays in canonical correlation analysis. Clustering the presence of apterous aphids matches the pattern verified for Chrysoperla externa at the three different spacings between rows. Our results indicate that S. rubicundus is the main candidate to regulate the aphid populations in all spacings studied.</jats:p

José B. Malaquias

Francisco S. Ramalho

Carlos T. dos S. Dias

Bruno P. Brugger

Aline Cristina S. Lira

Carlos F. Wilcken

Jéssica K. S. Pachú

José C. Zanuncio

Crossref

Multivariate approach to quantitative analysis of Aphis gossypii Glover (Hemiptera: Aphididae) and their natural enemy populations at different cotton spacings

Multivariate approach to quantitative analysis of Aphis gossypii Glover (Hemiptera: Aphididae) and their natural enemy populations at different cotton spacings

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