Revista Mexicana Ciencias Agrícolas volume 13 number 3 April 01 - May 15, 2022
DOI: https://doi.org/10.29312/remexca.v13i3.2896
Article
Bioprospecting of beneficial insects in agroecological and organic production systems in San Luis Potosí
Víctor Hernández-Aranda
Ramón Jarquin-Gálvez§
Pablo Lara-Ávila
Gisela Aguilar-Benítez
Faculty of Agronomy and Veterinary Medicine-Autonomous University of San Luis Potosí. San Luis-Matehuala Highway km 14.5, Ejido Palma de la Cruz, Soledad de Graciano Sánchez, SLP, Mexico. CP. 78321. (a317931@alumnos.uaslp.mx; pablo.lara@uaslp.mx; gisela.aguilar@uaslp.mx).
§Corresponding author: ramon.jarquin@uaslp.mx.
Abstract
Insect bioprospecting was carried out in two horticultural production units, an organic one called Casa Garambullo located in Villa de Hidalgo and an agroecological one called Granja Doña Mary located in Soledad de Graciano Sánchez, both in the state of San Luis Potosí. The diversity of insect species, beneficial or not, present in these localities was determined. To this end, horticultural production units were compared through the number of insect species over four weeks, using entomological net, water traps and yellow sticky traps. From these captures, a count of individuals was made, and they were classified by order and family. It was found that the largest number of specimens of beneficial insects was collected in the water traps. In the crops of corn in development, corn in postharvest, squash in development, squash in postharvest and chard of Casa Garambullo and Granja Doña Mary, 8 families of beneficial insects were identified: Vespidae, Apidae, Syrphidae, Eulophidae, Crabronidae, Formicidae, Cynipidae, Coccinellidae. Despite the homogeneity in the orders, the collection of arthropods in the organic production system ‘Casa Garambullo’ located in Villa de Hidalgo showed a greater number of beneficial insects compared to the agroecological production system Doña Mary in Soledad de Graciano Sánchez, in terms of diversity, the dominance of species and specific biodiversity in both localities was low; however, the diversity of species in the localities studied was high.
Keywords: agroecosystems, diversity, dominance, entomofauna, vegetables.
Reception date: January 2022
Acceptance date: April 2022
Introduction
Conventional agriculture is considered one of the main causes of the simplification of the environment due to the strong impact produced on the environment. The expansion of monocultures has led to the homogenization of agricultural landscapes and the development of unfavorable agricultural practices for many species (Puech et al., 2014). The use of synthetic products for soil fertilization, insect control, the control of weeds and diseases compromise the health and well-being of the farmer, in addition to deteriorating the structure and biodiversity of the soil (Ortega, 2009), at the same time compromises the quality of foods, exacerbating the presence of toxic agricultural chemicals (Nicholls and Altieri, 2006) and negatively impacting the entomofauna of agricultural areas (Sánchez and Wyckhuys, 2019), mainly in pollinators that generate invaluable agroecosystem values (Devine et al., 2008).
Agroecological science promotes comprehensive environmental analysis, generating new theoretical-practical approaches to production, which has been configured from complex and systemic thinking (León, 2009). Organic agriculture is characterized by using agroecological management practices that promote soil biodiversity and beneficial ecological interactions to offset the need for synthetic inputs such as inorganic fertilizers and biocides (Blundell et al., 2020). Organic management practices also regulate undesirable insect populations and generate metabolomic reactions in plants to pest damage (Lichtenberg et al., 2017; Hernández, 2021). Likewise, it differs from agroecological production in the market by having the guarantee of a legal certification (Jarquin et al., 2013).
Long-term decline in insect pests on organic farms has been largely attributed to practices that limit their dominance, increase biodiversity, and increase the number of beneficial insects (Muneret et al., 2018). Within the agroecological and organic production systems, the preservation of beneficial entomofauna for biological control by conservation is important, being considered a requirement in the case of the Mexican Organic Certification published in the Official Journal of the Federation (DOF, for its acronym in Spanish) modified in 2020. Insects are the most diverse and abundant living beings in agroecosystems, with a direct link in terms of plant survival (Bautista et al., 2011).
Bioprospecting is defined as the collection and identification of biological samples (plants, animals, microorganisms, insects, macroscopic fungi, among the most important) and the accumulation of indigenous knowledge to help discover genetic or biochemical resources found in biodiversity. In an agricultural context, insect bioprospecting is grouped into beneficial and non-beneficial. The first group includes pollinators, as well as entomophagues and parasitoids of pest insects (Srivastava, 2017).
The need to achieve efficient pest control in the different crops has led to the search for more efficient ecological and economic alternatives for control and monitoring (Bravo et al., 2020). Stability in the agroecosystem is not only related to the number of species present, but rather to the functional connections between them. In general, the more diverse agroecosystems, the more stable and resilient they tend to be (Nicholls et al., 2015). Biodiversity must be maintained or promoted to preserve the self-regulating capacity of agroecosystems. The latter involves a thorough knowledge of existing species to promote survival.
Insect trapping is a useful tool for estimating the size of populations and the diversity of species existing in a specific location (Altieri and Nicholls, 2013). This is relevant since, because of modern agriculture, there is a loss in the landscape, and it has been suggested that large-scale conversion to organic agriculture could partly improve this loss (Benton et al., 2003).
Organic farming methods generally improve biodiversity, operationally defined as species richness in a variety of groups of organisms (Bengtsson et al., 2005). The richness and abundance of insects are defined by biotic and abiotic factors; climatic adversity is another factor that conditions the appearance or decline of insects, rather than the production of plants (Ruggiero, 2001). The objective of the present study was the population quantification (abundance) and diversity (species reported as beneficial and harmful) of insects using the Shannon-Weaver and Simpson indices in two different conditions, one organic and one agroecological in the state of San Luis Potosí.
Materials and methods
Study sites
The study was carried out in two production systems in the state of San Luis Potosí, the first considered organic as it is duly certified through an officially recognized organization for this purpose (DOF, 2020), called Casa Garambullo (CG), located in Peotillos, municipality of Villa Hidalgo (22° 29’54, 22488” north latitude and 100° 36’37, 36656” west latitude), at an altitude of 1 527 masl and the second characterized as an agroecological system, in the process of certification, located in La Virgin neighborhood in the municipality of Soledad de Graciano Sánchez, called Doña Mary (DM), of the Plantifor company (22° 11’27, 591” north latitude and 100° 57’2, 71368” west latitude) at an altitude of 1 853 masl. Both systems carry out the same practices (use of organic fertilizers, crop rotation, use of live barriers, maintenance of biodiversity, use of free pollination seeds, among others). The difference between the two is that in the organic system these practices have been carried out for more than three years, in contrast to the agroecological one.
Sampling of entomofauna in associated crops
The collection methods used were active and passive; the active method was by using an entomological net consisting of a metal ring of 0.3 m in diameter, handle of 1.5 m and using a white tulle-type fabric as material for the conical bottom bag and in the passive traps, water traps and sticky traps, which consisted respectively of a yellow plastic container with a capacity of 3 L with water, using 50 g of liquid soap to break the surface tension and increase the collection, and yellow plastic boxes of 0.25 x 0.25 m, fastened on two wooden poles previously installed on the ground at a height of 1.4 m (Ramírez et al., 2014).
The capture of insects was carried out in lots cultivated with chard (Beta vulgaris) in development, squash (Cucurbita maxima) and corn (Zea mays), the latter two in conditions of development and postharvest, from mid-September to the first week of October 2019. The collections considered several points within the productive lots as shown in Figure 1. Due to logistical limitations, only four collections with an entomological net were carried out on September 11, 18, 25 and October 2, 2019, between 10:00 and 13:00 respectively, making 3 hits with the net on the vegetation, crossing the sowing bed according to the recommendations of Coronado et al. (2015).
Figure 1. Graphic representation of the delimitation made in the crops of chard, corn and squash, with the passive and active methods of capturing insects.
Likewise, three collections with water traps were carried out following the methodology proposed by Morón and Terrón (1988), these traps were placed in the center of the polygons drawn for the evaluation of each crop; and finally the sticky traps were installed, from September 18 and 25 and October 2, to which vegetable oil was applied and, prior to the penultimate collection, synthetic oil was used (Mujica et al., 2007; Ruiz, 2010), this type of trap is based on chromatic attraction and is considered for the monitoring of certain pests, whose color used is attractive to aphids and whiteflies (Qiu and Ren, 2006). The insects captured by the net method were placed in airtight bags that contained a piece of cotton with formaldehyde. Those insects captured in the water traps were placed in glass containers with water and sealed.
The sticky traps removed in each collection were placed in airtight bags and were subsequently transferred to the entomology laboratory of the Faculty of Agronomy and Veterinary Medicine of the Autonomous University of San Luis Potosí, along with the specimens captured in the other two methods for their taxonomic identification by stereoscope and using the taxonomic keys by order and family (Gibb et al., 2006; Alonso, 2015; Aguirre and Barranco, 2015; Carles, 2015; García et al., 2015; Fernández and Pujade, 2015), reported as beneficial or not, then placed in falcon tubes of 50 ml with 70% alcohol for their conservation, with the respective date and identification of the farm. For the identification, all insects collected in conditions to be observed were used.
Data analysis
Shannon and Simpson indexes
Once the count and subsequent identification of insects by order and families was made, the specific biodiversity was calculated through the Shannon-Weaver index, (1964) and the richness of organisms was measured based on the Simpson diversity index. For the calculation of the Shannon index, the following formula was used: . Where: s= number of species (species richness); pi= proportion of individuals of species; i= with respect to the total number of individuals (i.e., the relative abundance of species i); ni/N. Where: ni= number of individuals of species i; N= number of all individuals of all species.
The Shannon index, also considered an equity index, correlates abundance and richness of species and expresses the uniformity of abundance values across all species in the sample. It reaches values between 0, when there is a single species, and the Napierian logarithm of S, when all species are represented by the same number of individuals (Cámara and Díaz, 2013). For the calculation of the Simpson index, the following formula was used: . Where: s= is the number of species; pi= is the relative abundance of species I; pi= ni/Σni. Where: ni= number of individuals. D= Σpi2 (dominance).
The distinction of the species with the highest value of importance without evaluating the contribution of the rest is considered based on the Simpson index (1949). It indicates the relationship between the richness or number of species and the abundance or number of individuals per species anywhere. The importance of the most dominant species is being strongly influenced in its calculation. Values close to 1 indicate the predominance of one or some species over others. As its value is inverse to equity, diversity can be calculated as diversity (D= 1- λ), which tells us that the closer to the value of 1, the greater the equity (Cámara and Díaz, 2013).
Statistical data
The field data collected were sorted based on each trapping method. For the results of insect capture methods through entomological net, water traps and sticky traps, a two-way analysis of variance (Anova) with one replica was performed, followed by multiple comparisons with the Tukey test to test for significant differences (p< 0.05) between the type of traps used in both localities and the number of insects captured. For statistical analysis and graphical representation, the software Minitab19 and GraphPad Prism 9.0 were used respectively.
Climate data
Data on maximum, minimum temperatures and precipitation, but not relative humidity, were recorded in both localities during the time the study lasted through the application MeteoRed (version 6.8.3-free) in order to compare the behavior of the different insect populations based on climate information.
Results and discussion
Insect capture
In the organic production unit CG, by means of an entomological net, 95 insects were captured in the selected crops, likewise, 84 insects were captured in the production unit DM, with the order Hymenoptera (Figure 2) being the most frequently collected in both localities. Based on the total number of individuals captured, the largest number of insects was collected in the chard crop with 32.60% and 44.05% in CG and DM respectively, with the family Formicidae being the one with the highest number of individuals. This type of sampling demonstrated efficiency in capturing adult insects.
Figure 2. Orders of insects most frequently captured by the entomological net method in Casa Garambullo and Doña Mary. A comparison of means between localities was made and a greater presence of insects of the order Hymenoptera was observed; there are no significant differences (p> 0.05) in the capture of this order in both farms. Error bars indicate a 95% confidence interval (CI).
None of the crops sampled during the development of the study showed damages of economic importance in the two production units analyzed. Duarte and Almirall (2020) identified a high abundance of the family Formicidae (of the order Hymenoptera) through the association of crops that included chard, and mention that, although this family of insects presents a contribution as a biological controller, it must be taken into consideration that a high population of these insects could become a pest. On the other hand, Campo et al. (2014) mention that chard tends to present a high variety of insects, in addition to the fact that if this crop is associated, there would be a high diversity of natural enemies present in its environment.
The greatest capture of insects was achieved with the method of water traps, obtaining 1 202 in Casa Garambullo and 761 in Granja Doña Mary during the four weeks of study, being again the order Hymenoptera (Figure 3) the one that was most frequently observed in both farms. Of the total individuals, 39.6% and 33.51% were captured in the crops of corn in production and squash in postharvest in CG and DM, respectively. In both places, the family Vespidae was found in greater quantity. This method of collection is mostly used for flying insects (Hudson et al., 2020).
Figure 3. Orders of insects most frequently captured by the method of water traps in Casa Garambullo and Doña Mary. A comparison of means in the collection of insects between localities was made and it was confirmed that there are significant differences (p< 0.05) in the capture of the order Hymenoptera in both farms. Error bars indicate a 95% confidence interval (CI).
Within an agroecosystem, the presence of the family Vespidae has special relevance for the natural control of non-beneficial insects. Lopez et al. (2013) mention that this family acts as a natural controller of insects considered as a pest in corn; this arthropod acts as a controller of insects of the families Chrysomelidae, Cicadelidae, Noctuidae, Acrididae, found in a representative way in both study sites. In the same way, the family Vespidae can be associated as pollinators and predators of different pests in cucurbit crops (Dalló et al., 2018).
By means of the method of yellow sticky traps, during the three samples in the farm Casa Garambullo and Granja Doña Mary, 460 and 373 individuals were collected respectively, with the orders Hemiptera and Thysanoptera being the most frequently found in both farms (Figure 4). In the postharvest squash crop, in both farms, the largest number of captured insects was found with 36.96% and 37.27% in CG and DM respectively, with the families Aleyrodidae, Aphididae, Thripidae and Aeolothripidae being observed most frequently in both farms.
In a study conducted by Díaz et al. (2020) in squash, the efficacy of yellow sticky traps in the control of Bemisa tabaci belonging to the family Aleyrodidae, vector of the squash curly leaf virus (SLCV), was reported. Likewise, Corrales (1995) mentions that several species of Thysanoptera have been found in vegetables, including squash; however, within biological control, to keep a low population of these pest insects, it can be done with the presence of the family Eulophidae of the order Hymenoptera as mentioned by Loomans et al. (1997), which were identified at both study sites.
Figure 4. Orders of insects captured with sticky traps in Casa Garambullo and Doña Mary. Through the comparison of means, a greater presence is observed in the capture of non-beneficial insects of the order Hemiptera and Thysanoptera, there are no significant differences in the capture of these orders (p> 0.05) in both farms. Error bars indicate a 95% confidence interval.
As for the total number of insects captured in the organic CG and agroecological DM production units, it was found that, with the captures with entomological net, it was possible to collect 58.95% and 57.14% of beneficial insects respectively; likewise, from the water traps, despite the fact that a greater number of insects were captured, only 52.83% and 54.27% were identified as beneficial in both organic and agroecological production units respectively, finally through the sticky traps, 16.09% and 15.55% insects considered beneficial were captured in CG and DM (Table 1).
Table 1. Total number of insects captured/total beneficial insects in the crops analyzed.
Type of trap | Organic production unit | Agroecological production unit |
Net | 95/56 | 84/48 |
Water | 1202/635 | 761/413 |
Sticky | 460/74 | 373/58 |
Organic agriculture is a driver of the abundance of species of natural enemies as stated by Muneret et al. (2019) and it could be inferred that, based on the data obtained in the capture of beneficial insects with water traps and entomological net, their abundance is inversely proportional to the non-beneficial insects captured in both farms (organic and agroecological).
Species diversity in both production units
The Shannon-Weaver index has been the most used to measure the diversity of entomofauna. In ecology, diversity refers to the diversity of species, expressing the number of populations and their relative abundances (Segnini, 1995). For its part, from the Simpson index, the relationship between richness or number of species and the abundance or number of individuals per species anywhere is indicated (Moreno, 2001).
Considering the total number of insects captured through the three established collection techniques, the following orders of beneficial insects were identified: Hymenoptera, Coleoptera, Hemiptera and Diptera in Casa Garambullo and Doña Mary, being the families Vespidae, Apidae, Syrphidae, Eulophidae, Crabronidae, Formicidae, Cynipidae and Coccinellidae the ones identified in greater quantity in both farms.
As for the indices of specific biodiversity, these were low H’: 1.33 and 1.26 in the organic and agroecological production units respectively (Table 2), considering a high range of specific biodiversity when they oscillate between 2 and 3 as stated by Pla (2006) and Gelambi (2018).
Table 2. Simpson’s index calculated for organic and agroecological production units.
Order | Casa Garambullo | Order | Granja Doña Mary | |||||
Quantity | Relative abundance (pi) | pi^2 | Quantity | Relative abundance (pi) | pi^2 | |||
Araneae | 3 | 0.001707456 | 2.91541E-06 | Coleoptera | 178 | 0.14614122 | 0.0213572548 | |
Coleoptera | 303 | 0.172453045 | 0.029740053 | Dermaptera | 1 | 0.00082102 | 0.0000006741 | |
Diptera | 296 | 0.168468981 | 0.028381798 | Diptera | 282 | 0.23152709 | 0.0536047951 | |
Hemiptera | 210 | 0.119521912 | 0.014285488 | Hemiptera | 153 | 0.12561576 | 0.0157793201 | |
Hymenoptera | 710 | 0.404097894 | 0.163295108 | Hymenoptera | 367 | 0.30131363 | 0.090789903 | |
Lepidoptera | 4 | 0.002276608 | 5.18294E-06 | Lepidoptera | 4 | 0.00328407 | 0.0000107851 | |
Orthoptera | 3 | 0.001707456 | 2.91541E-06 | Orthoptera | 6 | 0.00492611 | 0.0000242665 | |
Thysanoptera | 197 | 0.112122937 | 0.012571553 | Thysanoptera | 210 | 0.17241379 | 0.0297265161 | |
Trombidiformes | 31 | 0.017643711 | 0.000311301 | Trombidiformes | 17 | 0.01395731 | 0.0001948064 | |
Total | 1757 | Total | 1218 | |||||
D | 0.25 | D | 0.21 | |||||
1-D | 0.75 | 1-D | 0.79 |
In the calculations made from the Simpson index, a low dominance among insect species was obtained in the Casa Garambullo and Doña Mary farms (D= 0.25 and D= 0.21 respectively), however, there was a high diversity of species in both farms 1 - D= 0.75 and 0.79 respectively (Tables 3 and 4). If the diversity of species is 1 or close to 1, it is considered high, as mentioned by Brito et al. (2007). The latter could be linked to changes in temperature and precipitation (Figures 5 and 6) since climate is an element that affects insect populations. Climatic variables influence the survival and duration of insect life cycles, causing variations in the number of individuals captured (Hodgson et al., 2011).
Table 3. Calculation of the Shannon index in the locality of Villa de Hidalgo.
Order | Family | # | pi | log pi | pi x log pi |
Araneae | Araneidae | 3 | 0.002 | -2.77 | -0.005 |
Coleoptera | Chrysomelidae | 1 | 0.001 | -3.24 | -0.002 |
Coleoptera | Coccinellidae | 28 | 0.016 | -1.8 | -0.029 |
Coleoptera | Curculionidae | 101 | 0.057 | -1.24 | -0.071 |
Coleoptera | Dermestidae | 58 | 0.033 | -1.48 | -0.049 |
Coleoptera | Meloidae | 1 | 0.001 | -3.24 | -0.002 |
Coleoptera | Mordellidae | 82 | 0.047 | -1.33 | -0.062 |
Coleoptera | Nitidulidae | 13 | 0.007 | -2.13 | -0.016 |
Coleoptera | Scabareidae | 4 | 0.002 | -2.64 | -0.006 |
Coleoptera | Tenebrionidae | 15 | 0.009 | -2.07 | -0.018 |
Diptera | Calliphoridae | 14 | 0.008 | -2.1 | -0.017 |
Diptera | Crabronidae | 32 | 0.018 | -1.74 | -0.032 |
Diptera | Culicidae | 57 | 0.032 | -1.49 | -0.048 |
Diptera | Dolichopodidae | 18 | 0.01 | -1.99 | -0.02 |
Diptera | Empididae | 13 | 0.007 | -2.13 | -0.016 |
Diptera | Eulophidae | 11 | 0.006 | -2.2 | -0.014 |
Diptera | Muscidae | 82 | 0.047 | -1.33 | -0.062 |
Diptera | Sepsidae | 18 | 0.01 | -1.99 | -0.02 |
Diptera | Syrphidae | 46 | 0.026 | -1.58 | -0.041 |
Diptera | Tachinidae | 5 | 0.003 | -2.55 | -0.007 |
Hemiptera | Aleyrodidae | 15 | 0.009 | -2.07 | -0.018 |
Hemiptera | Aphididae | 135 | 0.077 | -1.11 | -0.086 |
Hemiptera | Cicadellidae | 55 | 0.031 | -1.5 | -0.047 |
Hemiptera | Pentatomidae | 5 | 0.003 | -2.55 | -0.007 |
Hymenoptera | Aphelinidae | 20 | 0.011 | -1.94 | -0.022 |
Hymenoptera | Apidae | 107 | 0.061 | -1.22 | -0.074 |
Hymenoptera | Brachonidae | 6 | 0.003 | -2.47 | -0.008 |
Hymenoptera | Crabronidae | 21 | 0.012 | -1.92 | -0.023 |
Hymenoptera | Cynipidae | 37 | 0.021 | -1.68 | -0.035 |
Hymenoptera | Eulophidae | 64 | 0.036 | -1.44 | -0.052 |
Hymenoptera | Formicidae | 190 | 0.108 | -0.97 | -0.104 |
Hymenoptera | Scoliidae | 36 | 0.02 | -1.69 | -0.035 |
Hymenoptera | Vespidae | 229 | 0.13 | -0.88 | -0.115 |
Lepidoptera | Noctuidae | 4 | 0.002 | -2.64 | -0.006 |
Orthoptera | Acrididae | 3 | 0.002 | -2.77 | -0.005 |
Thysanoptera | Aeolothripidae | 176 | 0.1 | -1 | -0.1 |
Thysanoptera | Thripidae | 21 | 0.012 | -1.92 | -0.023 |
Trombidiformes | Tetranychidae | 31 | 0.018 | -1.75 | -0.031 |
Sum | 1 757 | -1.329 | |||
H | 1.33 |
Table 4. Calculation of the Shannon index in the locality of Soledad de Graciano Sánchez.
Order | Family | # | pi | log pi | pi x log pi |
Coleoptera | Coccinellidae | 20 | 0.016 | -1.785 | -0.029 |
Coleoptera | Curculionidae | 73 | 0.06 | -1.222 | -0.073 |
Coleoptera | Dermestidae | 13 | 0.011 | -1.972 | -0.021 |
Coleoptera | Eulophidae | 11 | 0.009 | -2.044 | -0.018 |
Coleoptera | Mordellidae | 55 | 0.045 | -1.345 | -0.061 |
Coleoptera | Nitidulidae | 6 | 0.005 | -2.307 | -0.011 |
Dermaptera | Forficulidae | 1 | 0.001 | -3.086 | -0.003 |
Diptera | Bombyllidae | 1 | 0.001 | -3.086 | -0.003 |
Diptera | Crabronidae | 11 | 0.009 | -2.044 | -0.018 |
Diptera | Culicidae | 42 | 0.034 | -1.462 | -0.05 |
Diptera | Dolichopodidae | 10 | 0.008 | -2.086 | -0.017 |
Diptera | Eulophidae | 109 | 0.089 | -1.048 | -0.094 |
Diptera | Muscidae | 81 | 0.067 | -1.177 | -0.078 |
Diptera | Syrphidae | 28 | 0.023 | -1.638 | -0.038 |
Hemiptera | Cicadellidae | 34 | 0.028 | -1.554 | -0.043 |
Hemiptera | Aleyrodidae | 3 | 0.002 | -2.609 | -0.006 |
Hemiptera | Aphididae | 102 | 0.084 | -1.077 | -0.09 |
Hemiptera | Coccinellidae | 8 | 0.007 | -2.183 | -0.014 |
Hemiptera | Coreidae | 1 | 0.001 | -3.086 | -0.003 |
Hemiptera | Lygaeoidea | 1 | 0.001 | -3.086 | -0.003 |
Hemiptera | Pentatomidae | 3 | 0.002 | -2.609 | -0.006 |
Hemiptera | Pyrrhocoridae | 1 | 0.001 | -3.086 | -0.003 |
Hymenoptera | Apidae | 56 | 0.046 | -1.337 | -0.061 |
Hymenoptera | Aphididae | 27 | 0.022 | -1.654 | -0.037 |
Hymenoptera | Crabronidae | 8 | 0.007 | -2.183 | -0.014 |
Hymenoptera | Cynipidae | 23 | 0.019 | -1.724 | -0.033 |
Hymenoptera | Eulophidae | 11 | 0.009 | -2.044 | -0.018 |
Hymenoptera | Formicidae | 107 | 0.088 | -1.056 | -0.093 |
Hymenoptera | Muscidae | 9 | 0.007 | -2.131 | -0.016 |
Hymenoptera | Vespidae | 126 | 0.103 | -0.985 | -0.102 |
Lepidoptera | Noctuidae | 4 | 0.003 | -2.484 | -0.008 |
Orthoptera | Acrididae | 6 | 0.005 | -2.307 | -0.011 |
Thysanoptera | Aeolothripidae | 187 | 0.154 | -0.814 | -0.125 |
Thysanoptera | Thripidae | 23 | 0.019 | -1.724 | -0.033 |
Trombidiformes | Tetranychidae | 17 | 0.014 | -1.855 | -0.026 |
Sum | 1 218 | -1.26 | |||
H | 1.26 |
Figure 5. Climograph of the municipality of Villa de Hidalgo where the maximum temperature 30 °C, minimum temperature 11 °C and precipitation from September 11 to October 3, 2019, are indicated.
Figure 6. Climograph of the municipality of Soledad de Graciano Sánchez where the maximum temperature 29 °C, minimum temperature 8 °C and precipitation from September 11 to October 03, 2019, are indicated.
The richness and diversity of insects is directly linked to biotic and abiotic factors. Although the offspring is high, arthropod mortality is high and variable, some authors emphasize that biodiversity is being affected by habitat and climate (Fox, 2013).
Conclusions
The largest number of insects was captured in the organic production unit Casa Garambullo, attributable to its greater diversity of crops per unit area compared to the agroecological production system Granja Doña Mary, the main families of beneficial insects found in both production units were: Vespidae, Apidae, Syrphidae, Eulophidae, Crabronidae, Formicidae, Cynipidae and Coccinellidae. Regarding the indices of diversity of insects found in both production areas, in all the crops in which the diversity of insects was evaluated, it was found that there is a low dominance among insect species; however, diversity is high in both localities; specific biodiversity indices were low in both farms.
Cited literature
Aguirre, A. y Barranco, V. P. 2015. Orden Orthoptera. Ibero Diversidad Entomológica. 46(1):1-13.
Alonso, M. 2015. Orden Coleoptera. Rev. IDE@-SEA. 55(1):1-18.
Altieri, M. A. y Nicholls, C. I. 2013. Agroecología y resiliencia al cambio climático: principios y consideraciones metodológicas. Agroecología. 8(1):7-20.
Bautista, F.; Palacio, J. L. y Delfín, H. 2011. Técnicas de muestreo para manejadores de recursos naturales. 2da Edición. Universidad Nacional Autónoma de México. ISBN 978-607-02-21297-9. 790 p.
Bengtsson, J.; Ahnström, J. and Weibull, A. C. 2005. The effects of organic agriculture onbiodiversity and abundance: a meta‐analysis. J. Appl. Ecol. 42(2):261-269.
Benton, T. G.; Vickery, J. A. and Wilson, J. D. 2003. Farmland biodiversity: is habitat heterogeneity the key? Trends Ecol. Evol. 18(4):182-188. https://doi.org/10.1016/S0169-5347(03)00011-9.
Blundell, R.; Schmidt, J. E.; Igwe, A.; Cheung, A. L.; Vannette, R. L.; Gaudin, A. C. y Casteel, C. L. 2020. Organic management promotes natural pest control through altered plant resistance to insects. Nature Plants. 6(5):483-491.
Bravo, R.; Zela-Uscamayta, K. y Lima, I. 2020. Eficiencia de trampas pegantes de colores en la captura de insectos de hortalizas de hoja. Sci. Agropec. 11(1):61-66.
Brito, Y. M.; Camacho, E. R.; Vargas, O. M.; Nelson, N. T.; Lewis, Y. L.; Castillo, N. R. y Campo, D. P. 2007. Diversidad de insectos benéficos asociados a Morinda citrifolia L. Fitosanidad. 11(1):25-28.
Cámara R. y Díaz, F. 2013. Muestreo en transecto de formaciones vegetales de fanerófitos y Caméfitos: fundamentos metodológicos. Estudios Geográficos. 74(274):67-88.
Campo, A. D. P.; Acosta, R. L.; Morales, S. y Prado, F. A. 2014. Evaluación de microorganismos de montaña (mm) en la producción de acelga en la meseta de Popayán. Biotecnología en el sector agropecuario y agroindustrial. 12(1):79-87.
Carles, M. 2015. Orden diptera. Rev. IDE@-SEA. 63(1):1-22.
Coronado, B. J. M.; Ruíz, C. E. y Thompsom, F. R. M. 2015. Métodos de colecta de insectos. En: Morón, M., Jarquin, R, Zacarías, O. Bioprospección de insectos benéficos en sistemas de producción agroecológicos y orgánicos en San Luis Potosí. Introducción a la Ciencia, la Tecnología y la Innovación en la UASLP. Verano de la Ciencia 2018. 6(2):75-79.
Corrales, M. J. L. 1995. Chinches, chicharritas, minadores y trips de hortalizas. In: anónimo. (Ed.). Manejo fitosanitario de hortalizas. Memorias del XXVII Congreso Nacional de Entomología. San Luis Potosí, Universidad Autónoma de San Luis Potosí. 242 p.
Dalló, J. B.; Souza, M. M.; Coelho, E. L. y Brunismann, A. G. 2018. Vespas sociais (Hymenoptera, Vespidae) en Cultura de bucha vegetal Luffa aegyptiaca mill. Rev. Agrogeoambiental. 9(4):111-124.
Devine, G. J.; Eza, D.; Ogusuku, E. y Furlong, M. J. 2008. Uso de insecticidas: contexto y consecuencias ecológicas. Rev. Peruana de Medicina Experimental y Salud Pública. 25(1):74-100.
Diario Oficial de la Federación. 2020. Acuerdo por el que se modifican, adicionan y derogan diversas disposiciones del diverso por el que se dan a conocer los lineamientos para la operación orgánica de las actividades agropecuarias. https://www.dof.gob.mx/nota-detalle.php?codigo=5594612&fecha=08/06/2020https://www.dof.gob.mx/nota-detalle.php?codigo=5594612&fecha=08/06/2020.
Díaz, J. F.; Sahagún, J.; Ayvar, S.; Vargas, M. y Alvarad, O. G. 2020. Virus de la hoja rizada de calabaza (SLCV): diagnóstico, dinámica poblacional del vector y distribución espacio-temporal del virus. Rev. Mex. Cienc. Agríc. 11(1):83-95.
Duarte, S. y Almirall, A. L. 2020. Diversidad de insectos asociados a siete cultivos en el sistema de cultivo organopónico “1° de julio” de La Habana. Rev. Cient. Agroec. 8(2):58-65.
Fernández, S. y Pujade, J. 2015. Orden hymenoptera. Rev. IDE@-SEA. 59(1):1-36.
Fox, R. 2013. The decline of moths in great britain: a review of possible causes. Insect conservation and diversity. 6(1):5-19.
García, E.; Romo, H.; Monteys, V. S.; Munguira, M. L.; Baixeras, J.; Moreno, A. V. y García, J. L. Y. 2015. Orden lepidoptera. Rev. IDE@-SEA. 65(1):1-21.
Gelambi, M. 2018. ¿Qué es el índice de Shannon y para qué sirve? Lifeder. https://www.lifeder.com/indice-de-shannon/.
Gibb, T. J.; Oseto, C. Y. and Oseto, C. 2006. Arthropod collection and identification: laboratory and field techniques. Academic Press. 311 p. ISBN: 978-012-3695-45-1.
Hernández, V. A. 2021. Biocontrol del cáncer bacteriano en jitomate mediante un té aeróbico de composta. Tesis. San Luis Potosí, México, DF. 13-14 pp.
Hodgson, J. A.; Thomas, C. D.; Oliver, T. H.; Anderson, B. J.; Brereton, T. M. and Crone, E. E. 2011. Predicting insect phenology across space and time. Glob. Change Biol. 17(3):1289-1300. Doi: 10.1111/j.1365-2486.2010.02308.x.
Hudson, J. R.; Hanula, J. L. and Horn, S. 2020. Assessing the efficiency of pan traps for collecting bees (Hymenoptera: apoidea). J. Entomol. Sci. 55(3):321-328. Doi: 10.18474/0749-8004-55.3.321.
Jarquin, R.; Schwentesius, R.; Aguilar, E.; Ýngel, M.; Ramírez, H. M. y Domínguez, N. 2013. Guía para la comprensión de lineamientos técnicos de operación orgánica (No. 635.0484 J3G8). 1ra. (Ed). ISBN 978-607-9343-18-7. 87 p.
León, T. E. S. 2009. Agroecología: desafíos de una ciencia ambiental en construcción. Agroecología. 4(1):7-17.
Lichtenberg, E. M.; Kennedy, C. M.; Kremen, C.; Batary, P.; Berendse, F.; Bommarco, R. and Crowder, D. W. 2017. A global synthesis of the effects of diversified farming systems on arthropod diversity within fields and across agricultural landscapes. Glob. Change Biol. 23(11):4946-4957.
Loomans, A. J. M.; Murai, T. and Greene, I. D. 1997. Interactions with Hymenopterous parasitoids and parasitic nematodes. In: Lewis, T. (Ed.). Thrips as crops pest. Caba International. 740 p.
López, Y.; Hernández, J. y Caraballo, P. 2013. Actividad de forrajeo de la avispa social Polybia emaciata (Hymenoptera: vespidae: polistinae). Rev. Colomb. Entomol. 39(2):250-255.
Moreno, C. E. 2001. Métodos para medir la biodiversidad. Manuales y Tesis SEA. ISSN: 1576 9526. 84 p.
Morón, M. A. y Terrón, R A. 1988. Entomología práctica. Instituto de ecología. México, DF. 504. p.
Mujica, M. V.; Scatoni, I. B.; Franco, J.; Nuñez, S. and Bentancourt, C. M. 2007. Fluctuación poblacional de “Frankliniella occidentalis” pergande thysanoptera: thripidae en “Vitis vinifera” L. Italia en la zona sur de uruguay. Boletín de sanidad vegetal. Plagas. 33(4):457-468.
Muneret, L.; Auriol, A.; Bonnard, O.; Richart, C, S.; Thiéry, D. and Rusch, A. 2019. Organic farming expansion drives natural enemy abundance but not diversity in vineyard‐dominated landscapes. Ecol. Evol. 9(23):13532-13542.
Muneret, L.; Mitchell, M.; Seufert, V.; Aviron, S.; Pétillon, J.; Plantegenest, M. and Rusch, A. 2018. Evidence that organic farming promotes pest control. Nat. Sustain. 1(7):361-368.
Nicholls, C. I. y Altieri, M. 2006. Manejo de la fertilidad de suelos e insectos plaga: armonizando la salud del suelo y la salud de las plantas en los agroecosistemas. Manejo integrado de plagas y agroecología. 77(1):8-16)
Nicholls, C. I.; Henao, A. y Altieri, M. A. 2015. Agroecología y el diseño de sistemas agrícolas resilientes al cambio climático. Agroecología. 10(1):7-31.
Ortega, G. 2009. Agroecología vs agricultura convencional. Documento de trabajo N° 128 b. Base de investigaciones sociales. Asunción, Paraguay. ISSN 1810-584X. 24 p.
Pla, L. 2006. Biodiversidad: inferencia basada en el índice de Shannon y la riqueza. Interciencia. 31(8):583-590.
Puech, C.; Baudry, J.; Joannon, A.; Poggi, S. and Aviron, S. 2014. Organic vs. conventional farming dichotomy: does it make sense for natural enemies? Agric. Ecosyst. Environ. 194(1):48-57.
Qiu, B. L. and Ren, S. X. 2006. Using yellow sticky traps to inspect population dynamics of Bemisia tabaci and its parasitoids. Chin. Bulletin Entomol. 43(1):53-56.
Ramírez, L.; Alanís, G.; Ayala, R.; Velazco, C. y Favela, S. 2014. El uso de platos trampa y red entomológica en la captura de abejas nativas en el estado de Nuevo León, México. Acta Zool. Mex. 30(3):508-538.
Ruggiero, A. 2001. Interacciones entre la biogeografía ecológica y la macroecología: aportes para comprender los patrones espaciales en la diversidad biológica. Introducción a la biogeografía en Latinoamérica: teorías, conceptos, métodos y aplicaciones. 81-94 pp.
Ruiz, C. E. 2010. Ichneumonidae (Hymenoptera) en el estado de Tamaulipas, México. Serie avispas parasíticas de plagas y otros insectos No. 6. Universidad Autónoma de Tamaulipas. (Ed.). Planeta. 184 p.
Sánchez, F. and Wyckhuys, K. A. 2019. Worldwide decline of the entomofauna: a review of its drivers. Biol. Conserv. 232(1):8-27.
Segnini, S. 1995. Medición de la diversidad en una comunidad de insectos. Bol. Entomol. Venez. 10(1):105-13.
Shannon, C. E. and Weaver, W. 1964. The mathematical theory of communication. Urbana. University of Illinois Press. 125 p.
Simpson, E. H. 1949. Measurement of diversity. Nature. 163-688 pp.
Srivastava, S. K. 2017. Insect bioprospecting especially in India. In bioprospecting. Springer, cham. 245-267 pp.