Research Article |
Corresponding author: Desmond Conlong ( des.conlong@sugar.org.za ) Academic editor: Michel Lecoq
© 2020 Adrian Bam, Pia Addison, Desmond Conlong.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Bam A, Addison P, Conlong D (2020) Acridid ecology in the sugarcane agro-ecosystem in the Zululand region of KwaZulu-Natal, South Africa. Journal of Orthoptera Research 29(1): 9-16. https://doi.org/10.3897/jor.29.34626
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Grasshoppers and locusts are well known crop and pasture pests throughout the world. Periodically they cause extensive damage to large areas of crops and grazing lands, which often exacerbate food shortage issues in many countries. In South Africa, acridid outbreaks rarely reach economic proportions, but in sugarcane plantations, localized outbreaks of native acridid species have been reported for the last eight years with increasing frequency and intensity in certain areas. This study was undertaken from May 2012 to May 2013 to identify the economically important acridid species in the sugarcane agroecosystem in these outbreak areas, to monitor seasonal activity patterns, to assess sampling methods, and to determine the pest status of the major species through damage ratings. Five acridid species of particular importance were identified: Nomadacris septemfasciata (Serville), Petamella prosternalis (Karny), Ornithacris cyanea (Stoll), Cataloipus zuluensis Sjötedt, and Cyrtacanthacris aeruginosa (Stoll). All species are univoltine. Petamella prosternalis was the most abundant species and exhibited a winter egg diapause, while N. septemfasciata, the second most abundant species, exhibited a winter reproductive diapause. Petamella prosternalis and N. septemfasciata were significantly correlated with the damage-rating index, suggesting that these two species were responsible for most of the feeding damage found on sugarcane. This study, for the first time, identified the acridid species complex causing damage to sugarcane in the Zululand area of KwaZulu-Natal, South Africa, and documented their population characteristics and related damage. These data are important information on which to base sound integrated pest management strategies.
Cataloipus zuluensis, Cyrtacanthacris aeruginosa, damage rating, management, Nomadacris septemfasciata, Ornithacris cyanea, outbreaks, Petamella prosternalis, population surveys
Grasshoppers and locusts (Orthoptera: Acrididae) attack sugarcane in various parts of the world, such as Indonesia (
Grasshopper outbreaks, on the other hand, have occurred sporadically in southern Africa and, apart from the elegant grasshopper Zonocerus elegans Thunberg (Orthoptera: Pyrgomorphidae), which attacks a wide range of wild and crop plants (
Population surveys have generally been used to estimate animal numbers in the field for conservation purposes (
Site descriptions.—Population surveys took place in the Empangeni region of KwaZulu-Natal, South Africa (28°44'56.74"S; 31°53'59.24"E) from 30th May 2012 until 30th May 2013. Four farms, which previously reported significant damage and high population densities, were chosen as study sites. Magazulu farm (Tedder) (28°44'9.54"S, 31°52'16.60"E) is situated within 2 km of Empangeni town and was the most southerly site surveyed. GSA farms (28°40'54.94"S, 31°54'51.98"E) and Crystal Holdings (28°40'0.50"S, 31°54'47.37"E) are situated close to each other, roughly 8 km from Empangeni town, and Jengro (28°37'30.84"S, 32°0'52.68"E) was the most northerly site, situated roughly 18 km from Empangeni town.
Sampling methods.—Population surveys were completed on each farm once a week from May 2012 to May 2013. When the sugarcane was young (3–6 months old), conventional sweep netting was used as it allowed the standard 180° sweep to be done (see
The route (Fig.
Summary of survey methods used to measure acridid abundances during population surveys on four sugarcane sites and associated natural habitats from May 2012 to May 2013.
Sampling method | Period of sampling (start and end date) | Age of cane | |
---|---|---|---|
Drive netting | 30-May-12 | 12-Sep-12 | 8 months |
Visual transects | 20-Sep-12 | 03-Dec-12 | 12 months |
Sweep netting | 21-Nov-12 | 10-Jan-13 | 3 months |
Drive netting | 17-Jan-13 | 15-May-13 | 5 months |
Data collection.—During each field trip, rainfall and temperature were recorded for that day. An attempt was made to conduct field trips only during sunny, dry days in order to minimize sample bias due to climatic factors. One area on each farm where acridid population densities were high was selected as the designated survey site for that farm. Acridids obtained from sweep netting were stored separately per site and brought back to the laboratory alive for identification and counting. Once in the laboratory, they were either killed by freezing or ‘cooled’ to aid counting. For visual transects, disturbed individuals were identified and recorded without being caught. Collected individuals were sorted into morphologically similar groups, and reference material was identified by a specialist (Corinna S. Bazelet).
DNA Extraction.—The acridid species identified using morphological characters were molecularly DNA barcoded (using the CO1 gene) in the biotechnology section at the South African Sugarcane Research Institute (SASRI). DNA was extracted from the muscle of the hind femur, using the KAPA Express Extract DNA Extraction kit (Kapa Biosystems, South Africa) according to the manufacturer’s instructions.
PCR using Cytochrome Oxidase gene primers.—PCR amplification was conducted using the KAPA 2G Robust PCR Kit (Kapa Biosystems, South Africa) with 1μl DNA template. The final reaction conditions were as follows: 1X Kapa2G Buffer A, 0.2 mM dNTP mix, 0.5 μM each COI Forward and COI Reverse primer and 0.5 units Kapa2G Robust DNA Polymerase.
The DNA primer sequences were:
COI Forward – 5’AATTGGGGGGTTTGGAAATTG3’
COI Reverse – 5’GCTCGTGTATCAACGTCTATTCC3’
PCR reactions were conducted in an Applied Biosystems Veriti Thermal Cycler using the following thermal cycling profile: 94°C for 2 min, followed by 35 cycles of 94°C for 30 sec, 55°C for 50 sec, and 72°C for 90 sec. Final extension was at 72°C for 10 min. PCR products were purified using the DNA Clean and Concentrator kit (Zymo Research, USA) according to the manufacturer’s instructions.
DNA sequencing was conducted using the BigDye Terminator v3.1 Cycle Sequencing kit (Applied Biosystems, USA) according to the manufacturer’s instructions. Sequencing reactions were conducted in an Applied Biosystems Veriti Thermal Cycler using the BigDye Terminator v3.1 kit recommended thermal cycling profile. Sequencing products were purified using the BigDye XTerminator Purification Kit (Applied Biosystems) according to manufacturer’s instructions.
Uploading of DNA sequences to online databases.—After obtaining good CO1 sequences, a search on two DNA barcoding websites, namely, BOLD systems (www.boldsystems.org) and the National Centre for Biotechnology Information (www.ncbi.nlm.nih.gov) indicated that none of the species’ DNA had been submitted to these databases. The sequences were thus submitted to BOLD systems and Genbank.
Damage rating estimate.—The level of leaf damage due to grasshopper feeding was estimated on a weekly basis to generate a damage-rating index for the period of May 2012–May 2013. During weekly population surveys, five random sugarcane stools (the underground stubble from which the plant is grown) within the sugarcane survey sites were chosen and a damage rating from 1–5 was estimated as the percentage of leaf area eaten on the youngest top five green leaves of a randomly chosen stalk in the stool (Table
Criteria used as a guideline to assess damage in order to obtain a damage-rating index to correlate against population abundance data.
Rating | % damage rating |
---|---|
0/5: | 0 |
1/5: | 1–20 |
2/5: | 21–40 |
3/5: | 41–60 |
4/5: | 61–80 |
5/5: | 81–100 |
The five values per transect were then averaged to get a mean damage rating per farm. The four mean weekly damage ratings were combined and averaged to get a monthly damage-rating index and then plotted against the other farms over the entire year.
Acridid surveys in surrounding grassland (natural habitat).—Grassland surveys were completed as a means of comparing grasshopper population densities and species composition in grassland sites compared to sugarcane survey sites. Four sites of natural grassland adjacent or nearby to each of the sugarcane survey sites (approximately 1 km from the sugarcane sites) on each farm were sampled for five months from October 2012 to February 2013. Due to unforeseen circumstances, two of the grassland survey sites had to be abandoned, therefore only two grassland sites remained from 21 November to 17 January (seven weeks). During this period, all acridid species sampled were in the hopper stage. Grassland surveys were completed using the same sweep net method as in the sugarcane study sites. Five 100 m transects were walked per site while sweeping the net over the top half of the grass sward in an 180° arc. Captured specimens were placed in separately marked tubs and brought back to the laboratory for identification and counting.
Data analysis.—Rank abundance curves were plotted, calculating a log abundance value that designated each species a ranking from 1–5 according to their total abundance in sugarcane sites. Monthly relative abundance (total count for all species by individual count for each species) was calculated as a percentage in order to correlate the relative abundance of acridid population densities with observed damage. Gamma rank correlation analysis was performed, which is preferable over the Spearman’s R analysis as the data contained many tied observations, which the Gamma analysis explicitly accounts for. Where a correlation between species abundance and the damage-rating index was found, a pairwise comparison was conducted. All analyses were completed in Statistica 11.0 (StatSoft Inc., Tulsa, OK, USA). To compare whether farms were associated with any particular species of grasshopper, a simple correspondence analysis, with grasshopper species as column variables and farms as row variables, was used. Likewise, a simple correspondence analysis was also used to compare habitat type (sugarcane vs. grassland) with grasshopper species over a seven-week sampling period with habitat type as column variables and species as row variables. No supplementary row variables were used in either analysis. The analyses were conducted in Statistica 11.0.
Species assemblage.—A total of seven acridid species were recorded during one year of sampling, including the less abundant Orthochtha sp. (Orthoptera: Acrididae) and Z. elegans. Five species, however, were of particular concern due to their high population densities (Fig.
Rank abundance plot of the five most prominent acridid species found in sugarcane in Zululand, South Africa (1: Petamella prosternalis; 2: Nomadacris septemfasciata; 3: Cataloipus zuluensis; 4: Cyrtacanthacris aeruginosa; 5: Ornithacris cyanea), based on population surveys carried out from May 2012 to May 2013 in four study sites.
Molecular identification.—None of the species’ DNA matched the sequences previously loaded onto GenBank or the BOLD websites accurately. All five specimen sequences were submitted to BOLD systems, as well as Genbank. The Genbank accession numbers are as follows:
Nomadacris septemfasciata: BankIt1690897 SASRI1001-13. COI-5P KJ130657
Cyrtacanthacris aeruginosa: Bank1t1690897 SASRI1002-13.COI-5P KJ130656
Petamella prosternalis: Bank1t1690897 SASRI1003-13. COI-5P KJ130659
Cataloipus zuluensis: Bank1t1690897 SASRI1004-13. COI-5P KJ130655
Ornithacris cyanea: Bank1t1690897 SASRI1005-13. COI-5P KJ130658
Population surveys and damage rating.—From the start of the surveys in May 2012, populations fluctuated, alternating between a high relative abundance of P. prosternalis in summer, and a high relative abundance of N. septemfasciata and O. cyanea in winter (Fig.
At the beginning of August, only N. septemfasciata and O. cyanea individuals were still present as adults; this continued until October 2012, when the next generation of hoppers of all species emerged in a fairly synchronized manner. According to
During the period of May 2012 to May 2013, the damage-rating index fluctuated substantially, indicating that damage varies in relation to population density and possibly the season and growth stage of the sugarcane plant (Fig.
The Empangeni area (Zululand region of KwaZulu-Natal, South Africa) would qualify as such a breeding zone, as high N. septemfasciata numbers were only found in this region of the province. In Madagascar, long range migrations of N. septemfasciata have been proven to occur (
Damage reached a peak at the end of January 2013, which was when grasshopper population density was the greatest as most individuals had undergone their final molt to become adults and the effects of natural mortality over time were small.
The damage rating index was significantly correlated with the fluctuations of P. prosternalis and N. septemfasciata (Table
Relationship between acridid species abundance and damage rating in four sugarcane study sites in Zululand, KwaZulu-Natal.
Species | Damage rating (gamma statistic) |
---|---|
P. prosternalis | 0.429143* |
N. septemfasciata | 0.250408* |
O. cyanea | 0.111739 |
C. aeruginosa | -0.190004 |
C. zuluensis | 0.152348 |
These results suggest that the combination of P. prosternalis and N. septemfasciata currently pose the greatest risk to South African sugarcane in terms of crop damage. A shortcoming of the damage rating index is that it does not take into account the growth rate of the plant being analyzed over time. Three of the four survey sites were dryland sugarcane farms; therefore, a decrease in rainfall over winter may slow down plant recovery after feeding and cause damage to be overestimated during winter months.
Seasonal life cycle.—Population surveys and personal observations by AB indicated that the five main species in sugarcane are all univoltine (completing one generation per year). All species had a diapause period although the life stage that entered into diapause differed between the species (Table
Simplified summary of the two diapause strategies observed within the grasshopper assemblage attacking South African sugarcane. Bold rows indicate southern hemisphere winter months.
Month | Egg diapause present | Reproductive diapause present |
P. prosternalis, C. aeruginosa, C. zuluensis | N. septemfasciata, O. cyanea | |
January | Hoppers | Hoppers |
February | Hoppers | Hoppers |
March | Mating/oviposition | Hoppers |
April | Mating/oviposition | Reproductive diapause |
May | Mating/oviposition | Reproductive diapause |
June | Egg diapause | Reproductive diapause |
July | Egg diapause | Reproductive diapause |
August | Egg diapause | Reproductive diapause |
September | Egg diapause | Reproductive diapause |
October | Egg diapause | Mating/oviposition |
November | Hoppers | Mating/oviposition/Hoppers |
December | Hoppers | Mating/oviposition/Hoppers |
Species composition.—Figure
Grassland sites were more similar in acridid assemblage structure, the species occurring there falling mostly to the right of the graph, while sugarcane sites were also more similar but with a different acridid assemblage structure, falling to the left of the graph (Fig.
Nomadacris septemfasciata are capable, over time, of covering distances of over 1000 miles or more (
Species identification and their population dynamics are the first steps in developing an integrated pest management plan. Population surveys have shown that P. prosternalis is the most abundant species in sugarcane in the Zululand region, followed by N. septemfasciata. These two species should, therefore, be considered as the primary targets for IPM. The other three species—C. zuluensis, C. aeruginosa, and O. cyanea—are found at lower but appreciable numbers and therefore should not be ignored as their potential for population increase is not well known but certainly possible. All species studied are univoltine, which means that to correlate population fluctuations with weather variables as done in previous literature (see
The following staff from SASRI were instrumental in the success of the project: Angela Walton, Denise Gillespie, and all insect rearing staff for assisting with the colonies in the Insect Rearing Unit (IRU). Nelson Muthusamy, for always lending an extra hand with all rearing issues; the late Mike Way, for advice and help in photographing the research specimens; Keshia Pather from GIS for help in the map constructions in the paper, and Deborah Sweby from Biotechnology for the enthusiastic molecular identifications of the locust and grasshopper species found during the study. Special thanks are given to Tom Fortmann, SASRI’s Extension Specialist for the affected area, and the growers who willingly allowed the use of their farms for the research. SASRI provided the funding to complete the research, for which they are thanked, and additional funding was obtained from the National Research Foundation of South Africa [Grant specific unique reference number (UID) 71909; P Addison].