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International Journal of Tropical Insect Science Vol. 33, No. 1, pp. 71–81, 2013 q icipe 2013 doi:10.1017/S1742758412000458 Post-harvest insect infestation in maize grain stored in woven polypropylene and in hermetic bags Kukom Edoh Ognakossan1,2, Agbéko Kodjo Tounou1, Yendouban Lamboni2 and Kerstin Hell2* 1 Ecole Supérieure d’Agronomie, Université de Lomé, BP 1515, Lomé, Togo; 2International Institute of Tropical Agriculture (IITA), BP 08-0932 Tri Postal Cotonou, Republic of Benin (Accepted 24 November 2012) Abstract. Maize was artificially infested with either 10 or 25 individual Prostephanus truncatus (Horn) and Sitophilus zeamais (Motschulsky) or a mixture of both, and stored in a hermetic grain bag (HGB) or a woven polypropylene bag (WPB) for 150 days. Population growth of P. truncatus and S. zeamais during storage was low in HGB, while in WPB, the insect population increased significantly with storage duration. Mortality rate during storage was significantly higher in HGB than in WPB. After 60 days of storage, the average mortality rate of 99.50% was observed in HGB infested with 25 P. truncatus, and 100% for S. zeamais at the same infestation density after 90 days of storage. Grain losses were significantly lower in HGB compared with WPB. Less than 0.5 and 6.0% losses were obtained, respectively, for S. zeamais and P. truncatus in HGB infested with 25 individual insects after 150 days of storage, whereas losses of 19.2% (infestation with S. zeamais) and 27.1% (infestation with P. truncatus) were observed in WPB. HGB seems to be resistant to the perforation of S. zeamais, but not to P. truncatus. The moisture content of maize grains stored in HGB remained practically the same during storage, compared with the levels in WPB, which reduced with storage time. WPB could be used for maize storage, protecting it against insect infestation without the need for insecticide use. Key words: hermetic grain bags, hermetic storage, population dynamics, grain losses, mortality rate, S. zeamais, P. truncatus Introduction Maize (Zea mays L. [Poaceae]) is the most important cereal food crop in sub-Saharan Africa (SSA) and an important source of energy and protein (Zia-Ur-Rehman, 2006). Yields are low in SSA, and there have been no significant increases over the last 50 years (PACN, 2010). Maize yields are being affected by multiple abiotic and biotic stresses, such as low soil fertility, water stress, weeds, diseases and insects. In some cases, losses due to pests and diseases, both pre- and post*E-mail: k.hell@cgiar.org harvest, far outweigh any reasonable hope for increases in productivity through improved germplasm and pre-harvest management (Chabi-Olaye et al., 2005). The most damaging maize pests in SSA are lepidopterous stem and cob borers, post-harvest weevils and the larger grain borer. Losses as high as 36% have been recorded on stored maize in Benin, due principally to infestation with Prostephanus truncatus (Horn) (Coleoptera: Bostrichidae) (Lamboni and Hell, 2009). These losses have an impact on food security and income generation and contribute to high food prices by removing part of the supply from the market (Abebe et al., 2009; Yuya et al., 2009). 72 K. Edoh Ognakossan et al. In recent years, maize production and storage systems have undergone several changes. Higher yielding, improved varieties were introduced, but these varieties also proved to be more susceptible to post-harvest insect pests, when stored in traditional stores used by West African farmers (Meikle et al., 1998). Extension agents and private sector pesticide input dealers have promoted the use of storage insecticides, but often these inputs are not available at the right time, leaving farmers no option than to treat with pesticides that are available, but not recommended for use on food crops (Meikle et al., 1999). Likewise, access to insecticides in SSA is not always simple and its use has an impact on the environment and human health (Obeng-Ofori and Reichmuth, 1999). Biological control of P. truncatus based on the use of Teretrius nigrescens Lewis (Coleoptera: Histeridae), the most effective natural antagonist of this pest, has been used in Africa as well as alternative control methods (Golob, 2002). However, the conclusions of the various studies (pheromone trapping, field experiments, gut analysis grain store surveys, simulation modelling, statistical and economic analysis) carried out by different research groups to measure the effect of the natural enemy on P. truncatus have been largely equivocal (Meikle et al., 2002). Therefore, the use of complementary alternative control methods, which are economically viable, safe to humans and the environment and can minimize qualitative and quantitative maize grain losses in storage, is needed. Hermetic grain bag (HGB) storage technology seems to have a great potential. The bags have a low air permeability, so that after 1 week to 10 days at room temperature, oxygen levels are modified by the respiration and metabolism of insects, fungi and the grain itself to a level of 1 – 2% O2 while the CO2 levels rise substantially, causing the death of insects and microorganisms by asphyxiation (Varnava et al., 1995; Murdock et al., 2012). Based on this principle, simple hermetic storage technologies have been developed, and include triple-layer bag storage (Purdue Improved Cowpea Storage (PICS) bags) mainly used for cowpea storage (Murdock et al., 2003) and the International Institute of Tropical Agriculture (IRRI) Super bag used to control post-harvest problems on rice in Asia (Rickman and Aquino, 2007). Because of its effectiveness and ease of use, small-scale farmers and other organizations have quickly adopted the PICS technology (Baributsa et al., 2010). This technology offers three advantages: (i) reducing direct losses from attack by cowpea weevils, (ii) farmers are not obliged to sell at harvest when prices are generally low and can sell later at a much higher price and (iii) farmers avoid price discount for cowpea grain damaged by weevils (NGI, 2009). Studies carried out with the PICS technology for the control of stored pests on rice in Asia have shown its effectiveness (Ben et al., 2006; Rickman and Aquino, 2007). In Vietnam, no change in moisture content was observed on rice grains stored in the IRRI Super bag and the number of live insects was reduced to 1 per kg, while in traditional storage, living insect levels increased to an average of 53 per kg (Ben et al., 2006). This simple hermetic technology might be attractive for transfer to Africa, but the effect of this technology on the main stored maize insect pests Sitophilus zeamais (Motschulsky) (Coleoptera: Curculionidae) and P. truncatus needs to be tested prior to its use. Prostephanus truncatus is a wood-boring insect, which has been known to bore through plastics (Nansen and Meikle, 2002), so testing whether hermetic storage is effective in controlling this pest is especially pertinent. Materials and methods Maize and moisture content Maize grains of the downy mildew-resistant improved variety were sorted to eliminate damaged grains and impurities, and then kept at 2 18.58C for 2 weeks to destroy any insect infestation before bagging. Moisture content was determined initially and at each sampling date according to the ISO 712:1979 routine method. From 20 samples of 50 g each, three separate subsamples of about 10 g of maize grains were drawn, milled and transferred into metal containers, and weighed and dried in an oven for 2 h 15 min at 1308C and then reweighed. Moisture content was calculated by the following formula: Wi 2 Wd £ 100; mc ð%Þ ¼ Wi where mc is the moisture content; Wi, the initial weight; and Wd, the dry weight. S. zeamais and P. truncatus rearing Adults of S. zeamais and P. truncatus were obtained from a laboratory culture. Fifty unsexed adults of each species were reared on 250 g of maize in 1-litre glass jars closed with a lid covered with a fine wire mesh (150 mm) at 27.26 ^ 0.68 8C and 80.66 ^ 1.32% relative humidity and a day length of 12:12 h. After 2 weeks of incubation, the adult insects were removed from jars by sieving. At the end of 5 weeks, the newly emerged generation was used in the experiments. Storage bags A HGB (27 cm long £ 20 cm wide) and a woven polypropylene bag (WPB) of about 25 mm in Insect population dynamics in hermetic storage thickness, commonly used by farmers and merchants in Benin, were used for maize storage. The WPB was cut the same size as the HGB, but the edges were sewn to close. 73 were determined by the count and weight method described by Boxall (1986): weight loss ð%Þ ¼ Storage, sampling and data collection ðW u £ N d Þ 2 ðW d £ N u Þ £ 100; W u ðN d þ N u Þ where Wu is the weight of undamaged grains; Nu, the number of undamaged grains; Wd, the weight of damaged grains; and Nd, the number of damaged grains. Maize storage started on 16 December 2008 and ended 21 May 2009; and the trial overlapped two seasons in Benin: the long dry season (November to mid-April) and the long rainy season (mid-April to mid-July). The experiment was set up in a split-plot design with three replications per experimental unit. The whole-plot factor was the storage technology (HGB and WPB) and subplot factors were as follows: infestation level (10 and 25), type of insects (P. truncatus, S. zeamais and mixture (P. truncatus þ S. zeamais)) and storage duration (60, 90, 120 and 150 days). Each bag was filled with 1 kg of grain and artificially infested with either 10 or 25 sexed S. zeamais or P. truncatus adults or with a mixture of S. zeamais þ P. truncatus with the two density levels. After filling, the bags were compressed to remove excess air and tightly sealed. All bags were stored in a room at ambient temperature and relative humidity, and monitored with destructive sampling at 60, 90, 120 and 150 days. Weekly mean temperatures and relative humidity were recorded. At each sampling, bags were opened, grains sieved and dead and living P. truncatus or S. zeamais adults counted. After this, 30 g of grains were drawn for moisture content determination according to the ISO (1980) method described above. Number and weight of damaged and undamaged grains on the basis of three random samples of 1000 grains and the number of holes on the bags were also recorded. Grain weight losses Data analysis SPSS for Windows version 16.0 (SPSS Inc., Chicago, IL) was used for statistical analysis using the general linear model (SPSS, 2007). The number of insects and holes was log(x þ l)-transformed. Mortality rate, losses and moisture content were arcsine square root (x/100)-transformed to normalize the data. Analysis of variance was used to compare means between the two storage technologies. The Student – Newman – Keuls test was used to separate averages at 5%. Correlations were computed for the HGB technology to establish the interactions between the number of holes and insect density, mortality rate and losses. Results Temperature and relative humidity during storage The weekly mean temperatures and relative humidity in the storage room during the trial were 28.90 ^ 0.69 8C and 79.44 ^ 3.63% (Fig. 1). The highest temperatures were recorded in March/ April and the highest relative humidity at the end of the trial in May. 87 Relative humidity (%) Mean relative humidity (%) 85 Temperature (˚C) Mean temperature (˚C) Mid-April 32 31 81 79 30 77 Long rainy season 75 29 73 Long dry season 71 28 69 First sampling 67 65 Temperature (°C) Relative humidity (%) 83 0 1 2 3 4 5 6 7 8 9 10 Second sampling 11 12 13 14 Fourth sampling Third sampling 15 16 17 18 19 20 21 22 27 Weeks Fig. 1. Weekly average relative humidity and temperature in storage during the trial (16 December 2008 to 21 May 2009) K. Edoh Ognakossan et al. 74 C 13 Moisture content (%) Moisture content (%) A 12 11 10 9 13 12 11 10 9 0 60 90 120 150 0 Storage duration (days) Moisture content (%) B 60 90 120 150 Storage duration (days) HGB (10 S. zeamais) WPB (10 S. zeamais) HGB (mixture (10 S. zeamais + 10 P. truncatus)) HGB (10 P. truncatus) WPB (10 P. truncatus) WPB (mixture (10 S. zeamais + 10 P. truncatus)) HGB (Mixture (25 S. zeamais + 25 P. truncatus)) 13 WPB (Mixture (25 S. zeamais + 25 P. truncatus)) 12 11 10 9 0 60 90 120 150 Storage duration (days) HGB (25 S. zeamais) WPB (25 S. zeamais) HGB (25 P. truncatus) WPB (25 P. truncatus) Fig. 2. Evolution of moisture content in hermetic grain bag (HGB) and in woven polypropylene bags (WPB) during storage Grain moisture content Moisture content in HGB showed the same trend irrespective of the level of infestation and species of insect. The average initial moisture content was 12.05 ^ 0.16%. In bags infested with S. zeamais, significant differences were obtained between maize stored in HGB and WPB after 120 days when infested with 10 S. zeamais and after 90 days in maize infested with 25 S. zeamais (Fig. 2A and B). In HGB, moisture Table 1. Number (mean ^ SE, n ¼ 3) of holes caused by Sitophilus zeamais, Prostephanus truncatus and mixture of insects (S. zeamais þ P. truncatus) on hermetic grain bag (HGB) and woven polypropylene bag (WPB) S. zeamais Days after storage Infestation with 10 insects 60 90 120 150 Infestation with 25 insects 60 90 120 150 HGB P. truncatus WPB Mixture (S. zeamais þ P. truncatus) HGB WPB HGB WPB 0.00 ^ 0.00Aa 1.00 ^ 0.00Ab 0.00 ^ 0.00Aa 5.33 ^ 0.88Bb 0.00 ^ 0.00Aa 18.33 ^ 4.91Cb 0.00 ^ 0.00Aa 23.00 ^ 5.00Cb 2.33 ^ 1.20Aa 2.67 ^ 1.76Aa 5.50 ^ 1.50Aa 0.50 ^ 0.50Aa 8.67 ^ 3.28Aa 39.33 ^ 6.43Bb 94.67 ^ 8.66Cb 81.67 ^ 9.59Cb 0.00 ^ 0.00Aa 1.33 ^ 0.66Aa 0.00 ^ 0.00Aa 6.00 ^ 2.08ABb 0.00 ^ 0.00Aa 23.00 ^ 10.44Bb 0.00 ^ 0.00Aa 21.67 ^ 3.18Bb 0.33 ^ 0.33Aa 30.67 ^ 5.81Ab 0.00 ^ 0.00Aa 31.00 ^ 4.72Ab 3.33 ^ 1.76Aa 74.00 ^ 13.89Bb 15.00 ^ 2.88Ba 46.00 ^ 10.69Ab 9.33 ^ 2.02Aa 109.00 ^ 6.65Bb 3.00 ^ 3.00Aa 104.33 ^ 27.14Bb 4.00 ^ 3.05Aa 118.67 ^ 11.26Bb – – 0.00 ^ 0.00Aa 4.33 ^ 0.66Ab 3.67 ^ 1.76Aa 40.67 ^ 7.17Bb 2.33 ^ 2.33Aa 61.33 ^ 10.99Bb 0.00 ^ 0.00Aa 113.33 ^ 12.12Cb Mean (^SE) values within a column (row) followed by the same uppercase letter (lowercase) are not significantly different from each other at the 5% probability level. Insect population dynamics in hermetic storage HGB (S. zeamais) WPB (S. zeamais) HGB (P. truncatus) WPB (P. truncatus) B Log (numbers/kg) Log (numbers/kg) A 4 3 2 4 75 HGB (S. zeamais) WPB (S. zeamais) HGB (P. truncatus) WPB (P. truncatus) 3 2 1 1 0 60 90 120 150 0 60 Storage time (days) 90 120 150 Storage time (days) Fig. 3. Population growth of Sitophilus zeamais and Prostephanus truncatus adults in HGB and WPB during storage (n ¼ 3). A, infestation with 10 S. zeamais or 10 P. truncatus. B, infestation with 25 S. zeamais or 25 P. truncatus. content did not vary significantly during the whole storage period (P ¼ 0.350 (10 S. zeamais); P ¼ 0.408 (25 S. zeamais); Fig. 2A and B). In WPB, moisture content was significantly different at 120 days of storage in bags infested with 10 S. zeamais (P ¼ 0.0001; Fig. 2A) and after 60 days of storage in bags infested with 25 S. zeamais (P , 0.0001; Fig. 2B). In bags infested with P. truncatus (Fig. 2A and B), moisture content differed between the HGB and WPB after 60 days with 10 individuals and at all sampling dates with 25 individuals. No significant differences were observed for moisture content in HGB (P ¼ 0.206 (10 P. truncatus); P ¼ 0.060 (25 P. truncatus)). Under mixed infestations (Fig. 2C), significant differences were observed between the HGB and WPB after 60 days of storage in both levels of infestation. In HGB, no significant differences A 4 regarding moisture content were observed, while in WPB, significant differences were observed at 60 days of storage in both the levels of infestation (P , 0.0001). Number of holes on storage bags No holes were observed on HGB during the whole experimental period, when only S. zeamais was present. Significant differences were observed for the number of holes on WPB compared with HGB, except for the infestation level of 25 S. zeamais at 60 days of storage (Table 1). The number of holes increased significantly until 120 days of storage in WPB under both infestation levels (P , 0.0001 (10 S. zeamais); P ¼ 0.006 (25 S. zeamais)). When P. truncatus was present, the number of holes was lower in HGB than in WPB (Table 1). For 10 P. truncatus, significant differences were B 4 HGB (mixture (S. zeamais + P. truncatus)) HGB (mixture (S. zeamais + P. truncatus)) WPB (mixture (S. zeamais + P. truncatus)) Log (numbers/kg) Log (numbers/kg) WPB (mixture (S. zeamais + P. truncatus)) 3 2 1 3 2 1 0 60 90 120 Storage time (days) 150 0 60 90 120 Storage time (days) Fig. 4. Growth of the mixture of insects (Prostephanus truncatus þ Sitophilus zeamais) in HGB and WPB during storage (n ¼ 3). A, infestation with 10 P. truncatus þ 10 S. zeamais. B, infestation with 25 P. truncatus þ 25 S. zeamais. K. Edoh Ognakossan et al. 76 B 2.5 y = 0.4273x + 1.4475 R2 = 0.692 P = 0.001 2.0 1.5 y = 0.2329x + 1.2391 R2 = 0.4033 P = 0.049 1.0 0.5 y = 0.1909x + 1.7876 R2 = 0.7678 P = 0.004 2.5 Infestation with 10 P. truncatus Infestation with 25 P. truncatus Log (density of mixture+1) Log (density of P. truncatus+1) A 2.0 1.5 y = 0.2693x + 1.6428 R2 = 0.3529 P = 0.054 1.0 0.5 Infestation with mixture (10 S. zeamais + 10 P. truncatus) Infestation with mixture (25 S. zeamais + 25 P. truncatus) 0 0 0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 0 0.5 Log (number of holes+1) 1.0 1.5 Log (number of holes+1) Fig. 5. Relationship between insect numbers and the number of holes made in HGB. A, relationship between Prostephanus truncatus numbers and the number of holes. B, relationship between mixture (P. truncatus þ Sitophilus zeamais) density and the number of holes. observed between the number of holes in HGB and WPB after 60 days of storage. When bags were infested with 25 P. truncates, significant differences between the HGB and WPB were observed during the whole storage period. No significant differences were obtained between the different sampling dates for the number of holes observed in HGB (P ¼ 0.387 (10 P. truncatus); P ¼ 0.092 (25 P. truncatus)). The number of holes increased significantly in WPB up to 120 days of storage when infested with 10 P. truncatus (P , 0.0001), but with 25 P. truncatus, a significantly lower number of holes were only observed up to 60 days of storage (P ¼ 0.001). Under mixed infestation (S. zeamais þ P. truncatus), the number of holes recorded in HGB was significantly lower than those recorded in WPB at both levels of infestation (Table 1). In HGB infested with 10 insects, no significant differences between the sampling dates were obtained for the number of holes (P ¼ 0.173) independent of insect species. However, at higher levels of infestation, the number of holes at 120 days was significantly higher than the numbers recorded at 90 and 60 days (P ¼ 0.009). In WPB, the number of holes increased significantly with storage duration with 10 S. zeamais þ 10 P. truncatus (P , 0.0001) and at higher infestation levels (P ¼ 0.033). Population growth of S. zeamais and P. truncatus in HGB The population growth of S. zeamais in HGB and WPB is presented in Fig. 3A and B. The number of S. zeamais recorded was higher in WPB than in HGB with both infestation levels. The Sitophilus zeamais population in WPB increased significantly with storage time (P , 0.0001), while no significant difference was observed in HGB. Table 2. Per cent mortality (mean ^ SE, n ¼ 3) of Sitophilus zeamais, Prostephanus truncatus and mixture of insects (S. zeamais þ P. truncatus) stored in hermetic grain bag (HGB) S. zeamais Days after storage HGB Mixture (S. zeamais þ P. truncatus) P. truncatus WPB HGB Infestation with 10 insects 60 96.30 ^ 3.70Aa 5.28 ^ 0.19Ab 83.45 ^ 8.31Aa 90 98.04 ^ 1.96Aa 7.94 ^ 2.98Ab 92.70 ^ 7.29Aa 120 100 ^ 0.00Aa 10.38 ^ 1.24Ab 85.06 ^ 5.24Aa 150 100 ^ 0.00Aa 10.64 ^ 3.05Ab 100 ^ 0.00Aa Infestation with 25 insects 60 92.48 ^ 6.02Aa 7.59 ^ 0.84Ab 99.52 ^ 0.47Aa 90 100 ^ 0.00Aa 10.93 ^ 0.13Bb 87.97 ^ 6.03Aa 120 100 ^ 0.00Aa 14.01 ^ 0.99Cb 73.04 ^ 16.33Aa 150 100 ^ 0.00Aa 17.74 ^ 1.16Db 82.92 ^ 14.38Aa WPB HGB WPB 7.74 ^ 1.14Ab 92.05 ^ 1.45Aa 7.90 ^ 1.98Ab 10.80 ^ 2.38ABb 87.80 ^ 6.76Aa 9.06 ^ 2.04Ab 24.29 ^ 5.76Bb 92.63 ^ 7.36Aa 19.82 ^ 1.86Bb 25.51 ^ 5.43Bb 100 ^ 0.00Aa 24.13 ^ 2.15Bb 7.77 ^ 0.66Ab 10.51 ^ 1.47Ab 19.41 ^ 1.82Bb 21.83 ^ 1.57Bb 92.75 ^ 4.46Aa 9.70 ^ 1.42Ab 89.00 ^ 2.54Aa 16.32 ^ 1.26Bb 90.81 ^ 9.18Aa 22.27 ^ 2.00Bb — — Mean (^SE) values within a column (row) followed by the same uppercase letter (lowercase) are not significantly different from each other at the 5% probability level. Insect population dynamics in hermetic storage B 1.8 1.6 y = –0.5796x + 1.5942 R2 = 0.7214 P = 0.0001 1.4 1.2 1.0 y = –0.6002x + 1.6113 R2 = 0.7275 P = 0.002 0.8 0.6 0.4 Infestation with 10 P. truncatus 0.2 Infestation with 25 P. truncatus Arcsin (√(mortality rate/100)) Arcsin (√(mortality rate/100)) A 1.8 77 y = –0.1518x + 1.3916 R2 = 0.2749 P = 0.182 1.6 1.4 1.2 1.0 y = –0.4064x + 1.4695 R2 = 0.5424 0.8 P = 0.010 0.6 0.4 Infestation with mixture (10 S. zeamais + 10 P. truncatus) Infestation with mixture (25 S. zeamais + 25 P. truncatus) 0.2 0 0 0 0.2 0.4 0.6 0.8 1.0 1.2 0.5 0 1.4 1.0 1.5 Log (number of holes+1) Log (number of holes+1) Fig. 6. Relationship between the mortality of insects and the number of holes made in HGB. A, relationship between Prostephanus truncatus mortality and the number of holes. B, relationship between the mortality of the mixture of insects (P. truncatus þ Sitophilus zeamais) and the number of holes. Significant differences between the HGB and WPB for P. truncatus were observed at 90, 120 and 150 days, but not at 60 days of storage (P ¼ 0.835 (10 insects); P ¼ 0.596 (25 insects); Fig. 3A and B). The number of P. truncatus was lower in HGB than in WPB and increased in WPB with storage duration. In HGB, significant differences were only observed at 120 days of storage (P ¼ 0.028 (10 insects); P , 0.0001 (25 insects)) for the two levels of infestation. In the mixture of S. zeamais þ P. truncatus, the total number of both insects was significantly higher in WPB compared with HGB at both levels of infestation (Fig. 4A and B). In HGB, infested with 10 S. zeamais þ 10 P. truncatus, the total number of insects at 60 days of storage was significantly lower than the levels on the other sampling dates (P ¼ 0.009). In maize infested with 25 S. zeamais þ 25 P. truncatus and stored in HGB, significant differences for the number of insects were only observed between 60 and 90 days (P ¼ 0.041). In WPB, the total number of insects increased significantly with storage duration for the two levels of infestation (P , 0.0001). The number of holes increased with the number of P. truncatus in HGB (r ¼ 0.64, P ¼ 0.049 (10 P. truncatus); r ¼ 0.83, P ¼ 0.001 (25 P. truncatus); Fig. 5A). In HGB infested with 10 S. zeamais þ 10 P. truncatus, the number of holes did not increase with the number of insects (r ¼ 0.594, P ¼ 0.054), while under higher infestation levels, the number of holes increased with the number of insects (r ¼ 0.876, P ¼ 0.004) (Fig. 5B). Effect of HGB on the mortality rate of S. zeamais and P. truncatus The mortality rate of S. zeamais was significantly higher in HGB than in WPB during the whole storage period under both levels of infestation Table 3. Percentage of grain losses (mean ^ SE, n ¼ 3) in hermetic grain bag (HGB) caused by Sitophilus zeamais, Prostephanus truncatus and mixture of insects (S. zeamais þ P. truncatus) S. zeamais Days after storage Infestation with 10 insects 60 90 120 150 Infestation with 25 insects 60 90 120 150 HGB P. truncatus WPB HGB WPB Mixture (S. zeamais þ P. truncatus) HGB WPB 0.07 ^ 0.03Aa 1.19 ^ 0.37Ab 0.45 ^ 0.37Aa 3.55 ^ 0.29Bb 0.13 ^ 0.03Aa 8.83 ^ 1.05Cb 0.12 ^ 0.02Aa 16.88 ^ 1.32Db 0.46 ^ 0.19Aa 2.18 ^ 0.51Ab 0.44 ^ 0.10Aa 6.57 ^ 2.56ABb 2.46 ^ 0.47Ba 11.41 ^ 0.71BCb 0.47 ^ 0.08Aa 19.22 ^ 4.77Cb 0.81 ^ 0.08Aa 6.48 ^ 0.67Ab 1.60 ^ 0.52Aa 17.16 ^ 2.87Bb 2.12 ^ 0.54Aa 21.10 ^ 2.53Bb 1.10 ^ 0.11Aa 29.93 ^ 2.02Cb 0.14 ^ 0.01Aa 2.04 ^ 0.13Ab 0.34 ^ 0.06Aa 4.74 ^ 1.53Bb 0.38 ^ 0.12Aa 12.70 ^ 1.07Cb 0.45 ^ 0.09Aa 19.21 ^ 0.75Db 0.62 ^ 0.19Aa 5.38 ^ 1.34Ab 1.77 ^ 0.73Aa 13.53 ^ 1.35Bb 5.48 ^ 2.16Aa 18.90 ^ 1.09Bb 2.02 ^ 1.16Aa 27.06 ^ 2.76Cb 0.84 ^ 0.23Aa 8.40 ^ 1.48Ab 5.15 ^ 1.65Ba 21.64 ^ 1.20Bb 1.69 ^ 0.22Aa 30.04 ^ 3.23Cb — — Mean (^SE) values within a column (row) followed by the same uppercase letter (lowercase) are not significantly different from each other at the 5% probability level. K. Edoh Ognakossan et al. 78 (Table 2). In HGB, no living S. zeamais was recorded from 120 days of storage with 10 S. zeamais and from 90 days of storage with 25 S. zeamais. In WPB infested with 10 S. zeamais, no significant differences existed for mortalities (P ¼ 0.254) but with 25 S. zeamais, mortality rate increased significantly with storage time (P , 0.0001) to reach 17.74 ^ 1.16 at 150 days. The mortality rate of P. truncatus was significantly higher in HGB than in WPB (Table 2). The mortality rates of P. truncatus in HGB did not differ significantly with the level of infestation (P ¼ 0.382 (10 P. truncatus); P ¼ 0.460 (25 P. truncatus)). In WPB, the mortality rate increased significantly with storage time (P ¼ 0.022 (10 P. truncatus); P , 0.0001 (25 P. truncatus)); however, this mortality rate did not reach one-third of the mortality rates detected in HGB infested with 10 P. truncatus and a fourth of the rates in HGB infested with 25 P. truncatus. When infested with S. zeamais þ P. truncatus, the mortality rate was significantly higher in HGB than in the control under both levels of infestation (Table 2). In HGB, the mortality rate remained practically the same during the whole storage period for both levels of infestation (P ¼ 0.443 (10 S. zeamais þ 10 P. truncatus); P ¼ 0.740 (25 S. zeamais þ 25 P. truncatus)), while it increased in WPB (P ¼ 0.002 (10 S. zeamais þ 10 P. truncatus); P ¼ 0.004 (25 S. zeamais þ 25 P. truncatus)). Insect mortality in HGB infested with P. truncatus decreased when the number of holes increased (r ¼ 2 0.85, P ¼ 0.002 (10 P. truncatus); r ¼ 2 0.84, P , 0.0001 (25 P. truncatus); Fig. 6A). The same was obtained with 10 S. zeamais þ 10 P. truncatus (r ¼ 2 0.73, P ¼ 0.010), whereas with 25 S. zeamais þ 25 P. truncatus, the number of holes did not significantly influence mortality (r ¼ 2 0.52, P ¼ 0.182) (Fig. 6B). Arcsin √(losses/100) B Infestation with 10 P. truncatus Infestation with 25 P. truncatus 0.35 0.25 0.20 0.15 y = 0.0787x + 0.0482 R2 = 0.4418 P = 0.036 0.10 0.05 Infestation with mixture (10 S. zeamais + 10 P. truncatus) Infestation with mixture (25 S. zeamais + 25 P. truncatus) 0.30 y = 0.1528x + 0.0589 R2 = 0.7817 P < 0.0001 0.30 Losses lower than 0.5% were observed in HGB during the whole storage period, compared with WPB, where losses of 16.88 ^ 1.32 and 19.21 ^ 0.75% were observed when infested with 10 S. zeamais and 25 S. zeamais, respectively (Table 3). Losses were significantly higher in WPB than in HGB and remained practically the same in HGB during the whole period of storage (P ¼ 0.610 (10 S. zeamais); P ¼ 0.105 (25 S. zeamais)). In WPB, losses increased significantly with storage duration under both levels of infestation (P , 0.0001). In bags infested with P. truncatus, losses were significantly higher in WPB than in HGB (Table 3). At 90 days, losses in WPB were practically three times higher than in HGB. Losses in HGB infested with 25 P. truncatus did not differ significantly during the whole storage period, whereas in bags infested with 10 P. truncatus, losses were significantly higher at 120 days of storage. In WPB, losses increased with storage time (P ¼ 0.004 (10 P. truncatus); P , 0.0001 (25 P. truncatus)). In bags infested with a mixture of S. zeamais and P. truncatus, losses in WPB at 60 days of storage were practically double that of the highest losses recorded in HGB (Table 3). In HGB infested with 10 S. zeamais þ 10 P. truncatus, no significant difference was observed during the whole storage period (P ¼ 0.152), but at higher infestation levels, a significant difference was observed at 90 days of storage (P ¼ 0.044). Losses in WPB increased significantly with storage duration. Grain losses in HGB infested with P. truncatus increased with the number of holes in the bags (r ¼ 0.66, P ¼ 0.036 (10 P. truncatus); r ¼ 0.88, P , 0.0001 (25 P. truncatus); Fig. 7A). This was 0 Arcsin √(losses/100) A Effect of HGB on grain losses caused by S. zeamais and P. truncatus y = 0.1055x + 0.0914 R2 = 0.7418 P = 0.006 0.25 0.20 0.15 0.10 y = 0.0631x + 0.1013 R2 = 0.6063 P < 0.0001 0.05 0 0 0.5 1.0 Log (number of holes+1) 1.5 0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Log (number of holes+1) Fig. 7. Relationship between maize losses and the number of holes made in HGB. A, relationship between losses caused by Prostephanus truncatus and the number of holes. B, relationship between losses caused by mixture of insects (P. truncatus þ Sitophilus zeamais) and the number of holes. Insect population dynamics in hermetic storage also observed under both levels of mixed infestation (r ¼ 0.77, P ¼ 0.010 (10 S. zeamais þ 10 P. truncatus); r ¼ 0.86, P ¼ 0.006 (25 S. zeamais þ 25 P. truncatus); Fig. 7B). Discussion This study demonstrated a major reduction of progeny number, grain weight loss and a high mortality of S. zeamais or P. truncatus when maize was stored in hermetic storage bags (HGB). Temperature and relative humidity in storage during our trial were close to those favourable for optimum development of S. zeamais and P. truncatus, but in HGB, low insect development rates and high mortalities were observed compared with the normal farmer practice, e.g. storage in WPB. These effects could be due to the low oxygen permeability of HGB, and its function as a hermetic storage system when properly sealed (Rickman and Aquino, 2007). In such an environment, oxygen levels drop sharply while CO2 accumulates via the respiration of pests, microorganisms and grains (Varnava et al., 1995; Moreno et al., 2000). High insect mortality rates were observed in HGB compared with WPB. As with all aerobic organisms, development and survival of insects is strongly correlated with oxygen concentration, so that in hermetic storage, all insect development ceases (Donahaye and Navarro, 2000) and insects perish if levels fall below 2 – 3% (Oxley and Wickenden, 1963; Moreno et al., 2000). Bailey and Banks (1980) stated that hermetic condition delayed insect development, impaired metamorphosis and altered fecundity. The impact of insect pest destruction on stored grain is commonly expressed in terms of the percentage of grains damaged or the percentage of grain weight loss (Boxall, 2002). However, crop storage efficiency depends on storage duration and losses during storage (including quality deterioration; Thamaga-Chitja et al., 2004). Losses observed in the bags are linked to the infestation level and mortality rate of insects in the bag. Storage of maize in HGB minimized grain weight losses to less than 1% when infested only with S. zeamais and less than 6% for infestation with P. truncatus or the mixed insect population. These levels were much lower than those reported by Boxall (2002) who observed losses of 5 –10% when maize was only infested with Sitophilus spp., while losses in P. truncatus-damaged maize ranged from 15 to 45%. According to Compton et al. (1998), insect damage has virtually no effect on price at levels below 5– 6% damaged grains, but above this, the percentage of damaged grains has a strong, quasilinear relationship with price. For every 1% increase 79 in grain damage, the expected mean price decreased by between approximately 0.6 and 1%, so that any increase in grain losses would directly reduce the retail price. If maize can be kept nearly insect-free through the use of HGB, such grains would retail for the highest price. Higher numbers of S. zeamais than P. truncatus were observed during the whole storage period in control bags; this could be due to S. zeamais increasing more on maize grain, while P. truncatus proliferating more easily on maize cobs than on grains. Cowley et al. (1980) reported that P. truncatus development in maize grains was much slower than on cobs, but Sitophilus spp. had a higher development rate on maize grains than on cobs. In mixed populations, the number of individual insects tends to be much lower than the number of insects in single-species populations, which could be due to inter-specific competition limiting population size. Several authors (Cowley et al., 1980; Giga and Canhao, 1993; Meikle et al., 1998; Danho et al., 2000) have reported that the presence of S. zeamais negatively influences the development of P. truncatus. Traditional farmers’ storage ecosystems are usually infested with numerous species, so that the mixed infestation with S. zeamais and P. truncatus illustrated more closely their challenges. There was a strong correlation between the number of holes observed on HGB and insect numbers, mortality rate and losses, so that the conclusion was drawn that holes negatively affected the efficiency of HGB. Since P. truncatus is a wood-boring insect, this species has a remarkable ability to tunnel through all kinds of material including plastics (Borgemeister et al., 2003). The higher the number of holes, the higher the number of insects, grain weight losses and the lower the mortality rate. These results suggest that holes created by perforation would favour gas exchange and eventually HGB would no more be a hermetic storage system. However, HGB offers a superior resistance to insect damage than WPB, which is probably related to its layer structure. In this trial, it was observed that P. truncatus makes more holes on the bags than S. zeamais, allowing the larger grain borer to exit easily from the bags. Sitophilus zeamais apparently did not make any holes on HGB and a much lower number of holes were observed on the control bag when infested only with this species, than with P. truncatus. Li (1988) reported that P. truncatus has a remarkable ability to tunnel through hard materials and was found to have penetrated plastic of 35 mm in thickness. HGBs are only 0.078 mm thick. The possibility of perforation of hermetic storage plastics such as HGB by some insects such as Rhyzopertha dominica (Coleoptera: Bostrichidae) has been reported by De Dios et al. (2001) and Rickman K. Edoh Ognakossan et al. 80 and Aquino (2007), while Baoua et al. (2012) stated that Callosobruchus maculatus Fabricius (Coleoptera: Chrysomelidae) was able to perforate HGB used for cowpea storage in Niger. Most of the holes were located near the seams of the plastic (De Dios et al., 2001). Also, intermittent opening and closing for sampling had led to reinfestation, and the insects were then able to pierce the polyvinyl chloride (PVC) liner, causing the system to fail (Rickman and Aquino, 2007). When maize was stored in HGB, moisture content remained practically the same during the whole storage period, inferring that exchanges between HGB and the external environment were limited since the bags were hermetic. However, this also means that no further drying is possible within this structure, so that grains have to be well dried prior to storage. On the contrary, grain moisture in polypropylene bags followed the evolution of the ambient relative humidity due to the permeability of these bags. This confirms that in hermetic bags, initial moisture content remains largely unchanged during storage. Conclusion Minimizing post-harvest losses and extending shelf-life through the use of improved storage structures are not only very effective ways of improving farm income through crop storage and sale at premium prices when demand outstrips supply later in the post-harvest period, but also offer the opportunity to smooth hunger between staple crop harvests. The results obtained in this study show that HGB potentially promises to be one of the key technologies for effective, safe postharvest management of maize grains, and improving food security of small-scale farmers. The tested technology does seem to be very promising, especially as it was done using small-sized bags that have a much bigger surface area-to-volume ratio, making it more difficult to attain hermetic conditions. Bigger bags would be much more effective. We observed holes bored by P. truncatus on the bag; however, this did not affect the hermetic storage principle of the bags when maize was stored for 150 days. 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