Incorporating lemon grass (Cymbopogon citratus L.) and marigold (Tagetes erecta L.) as non-host barrier plants to reduce impact of flea beetle (Chaetocnema confinis C.) in cabbage (Brassica oleracea var. capitata L.)

Iamba, Kari; Yaubi, Tonavu

doi:10.33545/27080013.2021.v2.i1b.33

Cited by 7 publications

(9 citation statements)

References 2 publications

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“…intercrop plots hence the leaf damage while increase in leaf area was evident [14] . By nature, abundance is not normally distributed [33,34] and is quantified by discrete variables therefore can be best described by the Poisson or negative binomial distributions [1] .…”

Section: Discussionmentioning

confidence: 97%

“…Both AIC and BIC are useful for comparing different statistical models [12,28] . Since the response variables were not normally distributed (Shapiro-Wilk test: p< 0.05), GLM was fitted to analyse the non-linearity of data distribution [14] .…”

Section: Discussionmentioning

confidence: 99%

“…PNG UNRE is an Agricultural and Environmental institution that focuses its academic programs in natural resource management. The campus is situated relatively at 4 o 21'01.90" S and 152 o 54 00 '33.44" E with an elevation of 51 meters above sea level at [14] . The soil has been categorized as more calcareous in nature and relatively sandy loamy of high alkalinity [15] .…”

Section: Materials and Methods (A) Study Sitementioning

confidence: 99%

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Data analysis of flea beetle (Psylliodes chrysocephala L.): comparing three (3) distribution families of Generalized Linear Model

Iamba¹

2022

J. Entomol. Zool. Stud.

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Generalized linear models (GLMs) are used when the variance is not constant, and/or when the errors are not normally distributed. Some ecological and entomological response variables invariably suffer from these two standard assumptions, and GLMs are excellent at dealing with them. Three distribution families of GLM: (1) Linear, (2) Poisson and (3) Gamma, were fitted to the null, reduced and full models with log link function. The data used was derived from a study on cabbage flea beetle (Psylliodes chrysocephala L.). According to the residual deviance (Goodness of Fit) and Akaike information criterion (AIC) as an estimator of model quality, it was confirmed that Gamma GLM is the best fit for the data set. Both the AIC and deviance were low in the Gamma model while high values were noted for Poisson and Linear GLMs. Our study confirms that severe skewness are often existed in data sets pertaining to parasitology and entomology. The Gamma distribution was able to provide a better and robust alternative estimator than Poisson and Linear models. Poisson distribution is mostly used to model the count of events occurring within a given time interval. Poisson and linear GLMs did not fit well with the data set and that was evident by their high scaled deviance (G 2 ).

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Section: Materials and Methods (A) Study Sitementioning

confidence: 99%

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Data analysis of flea beetle (Psylliodes chrysocephala L.): comparing three (3) distribution families of Generalized Linear Model

Iamba¹

2022

J. Entomol. Zool. Stud.

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“…The agroecosystem is located within the campus of PNG University of Natural Resources & Environment (PNG UNRE) in Papua New Guinea (PNG). The experimental site is situated at 4 o 21' 01.90" S and 152 o 00' 33.44" E on an altitude of 51m above sea level (Iamba & Waiviro 2021; Iamba & Yaubi 2021) [21,22] . The academic crops section is a research site where most agricultural in situ experiments are done on tropical crops.…”

Section: Materials and Methods (A) Study Sitementioning

confidence: 99%

Utilizing local plant extracts to control Diamondback moth in round cabbage

Iamba¹,

Malapa²,

Yoba³

2021

Acta Entomol. Zool.

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Diamondback moth (Plutella xylostella L.) with abbreviation DBM is a detrimental pest that mostly attacks cabbage and other vegetables in Brassicaceae family. The build-up of resistance in DBM due to continuous and indiscriminate use of synthetic insecticides have refocused farmer's perspectives to plant based extracts. Plant extracts are generally compatible with natural enemies of pests therefore are considered eco-friendly. This study was done to evaluate the push effect of Garlic (Allium sativum L.), Chili (Capsicum frutescens L.) and Seaweed extract on the activity of DBM. All three treatments; chili extract, garlic extract, and seaweed extract were generally effective in controlling DBM than the reference group (control treatment). Separation of means by Student-newman-keuls (SNK) test showed that Diamondback moth (DBM) abundance under seaweed extract was significantly low (2.18±0.32, p< 0.05) followed by chili extract (3.22±0.43, p< 0.05). There was no significant difference in DBM abundance under garlic extract and control treatment. For defoliation, only control treatment recorded a significant increase in DBM population (5.40±0.64, p< 0.05). The other three plant extracts had similar low non-significant abundances (p> 0.05). Data on LAI did not show any significant differences in all the treatments meaning treatments did not affect LAI (p> 0.05). This study found that both seaweed and chili extracts were effective in controlling P. xylostella in round cabbage. Both extracts are recommended for use since they differ in their mechanism pathways to protect crops.

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“…vaporariorum ), attributed to the presence of limonene detected in the headspace volatiles of the plant ( Conboy et al., 2019 ). Likewise, the related species Tagetes erecta was also found to significantly reduce the population of Psylliodes chrysocephala and Plutella xylostella , pests of the crop Pak Choi ( Brassica rapa chinensis ) in an intercrop with Pak Choi plant, while attracting more unidentified natural enemies of the pests than Pak Choi in monoculture ( Iamba and Homband, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Non-host plant odors influence the tritrophic interaction between tomato, its foliar herbivore Tuta absoluta and mirid predator Nesidiocoris tenuis

et al. 2023

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The tomato leafminer, Tuta absoluta is a destructive invasive pest of cultivated tomato and other Solanaceae plants, with yield losses of 80-100%. Mirid predators are key natural enemies of T. absoluta, but they also feed on host plants in the absence of their prey. Management of T. absoluta is a challenge due to its high biotic potential, resistance to many insecticides and the absence of sufficiently adapted auxiliary fauna in its new dispersion zones. Olfaction plays an important role in the tritrophic interaction between tomato, its herbivore pest T. absoluta and its mirid predators, which can be influenced by non-host plant odors. However, how non-host odours shape this interaction is poorly understood. Previously, we had demonstrated belowground crop protection properties of certain Asteraceae plants against the root-knot nematode Meloidogyne incognita, pest of tomato and other Solanaceae plants. Additionally, Asteraceae plants impact negatively on feeding behavior of above-ground pests of Solanaceae plants, including the greenhouse whitefly (Trialeurodes vaporariorum) and green peach aphid (Myzus persicae). Here, we tested the hypothesis that foliar volatiles from some of these non-host Asteraceae plants can influence the tomato-T. absoluta-mirid predator tritrophic interaction. In olfactometer assays, T. absoluta females were attracted to volatiles of the Solanaceae host plants tomato and giant nightshade but avoided volatiles of the Asteraceae plants, blackjack and marigold, and the positive control, wild tomato, when tested alone or in combination with the host plants. Coupled gas chromatography-mass spectrometry analysis showed that host and non-host plants varied in their emission of volatiles, mainly monoterpenes and sesquiterpenes. Random forest analysis combined with behavioral assays identified monoterpenes as the host plant attractive blend to T. absoluta and its mirid predator, with sesquiterpenes identified as the non-host plant repellent blend against T. absoluta. Contrastingly, the mirid predator was indifferent to the non-host plant repellent sesquiterpenes. Our findings indicate that terpenes influence the tomato-T. absoluta-mirid predator tritrophic interaction. Further, our results emphasize the importance of studying crop protection from a holistic approach to identify companion crops that serve multi-functional roles.

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Incorporating lemon grass (Cymbopogon citratus L.) and marigold (Tagetes erecta L.) as non-host barrier plants to reduce impact of flea beetle (Chaetocnema confinis C.) in cabbage (Brassica oleracea var. capitata L.)

Abstract: Incorporating lemon grass (Cymbopogon citratus L.) and marigold (Tagetes erecta L.) as non-host barrier plants to reduce impact of flea beetle (Chaetocnema confinis C.) in cabbage (Brassica oleracea var. capitata L.

Cited by 7 publications

References 2 publications

Data analysis of flea beetle (Psylliodes chrysocephala L.): comparing three (3) distribution families of Generalized Linear Model

Data analysis of flea beetle (Psylliodes chrysocephala L.): comparing three (3) distribution families of Generalized Linear Model

Utilizing local plant extracts to control Diamondback moth in round cabbage

Non-host plant odors influence the tritrophic interaction between tomato, its foliar herbivore Tuta absoluta and mirid predator Nesidiocoris tenuis

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