SUSTAINABLE PLANT PEST MANAGEMENT THROUGH OPTIMIZATION AND MINIMIZATION

Jingyuan XIA, Alexandre LATCHININSKY, Buyung HADI, Maged ELKAHKY

Front. Agr. Sci. Eng. ›› 2022, Vol. 9 ›› Issue (1) : 161-166.

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Front. Agr. Sci. Eng. ›› 2022, Vol. 9 ›› Issue (1) : 161-166. DOI: 10.15302/J-FASE-2021426
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SUSTAINABLE PLANT PEST MANAGEMENT THROUGH OPTIMIZATION AND MINIMIZATION

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Abstract

Plant pests and diseases have significant negative impacts on global food security, world trade and rural livelihoods. Climate change exacerbates these impacts in certain parts of the world. Overreliance on pesticides as the primary tool for plant pest management leads to problems such as pesticide resistance and pest resurgence. Environmental and food safety concerns are also associated with overuse of pesticides in crop production. There is clearly a need for a shift in pest management strategies and practices globally. Optimization of structures and functions in crop production agroecosystems through soil conservation practices and cropping diversification can improve pest regulation services provided in the systems. Prioritization of safer alternatives and practices in the IPM pyramid, such as resistant varieties and biopesticides, helps minimize the use of potentially risky agricultural inputs such as synthetic pesticides. Investment is needed to boost the development of innovative green technologies and practices. Production, distribution, use and regulatory capacities need to be strengthened to facilitate large-scale adoption of green technologies and practices. Finally, policy, financial and market instruments should be wielded to provide an enabling environment for the transformation to sustainable plant pest and disease management strategies and practices worldwide.

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Jingyuan XIA, Alexandre LATCHININSKY, Buyung HADI, Maged ELKAHKY. SUSTAINABLE PLANT PEST MANAGEMENT THROUGH OPTIMIZATION AND MINIMIZATION. Front. Agr. Sci. Eng., 2022, 9(1): 161‒166 https://doi.org/10.15302/J-FASE-2021426

Introduction

The main task of modern agriculture is to feed the rapidly growing human population under conditions of reduced arable land area and water resources and a changing climate. Agriculture has increasingly benefited from elite crop cultivars produced by advanced breeding technology since the first Green Revolution increased wheat and rice yields by exploiting semi-dwarf genes in the 1960s. Conventional breeding methods (cross breeding and mutation breeding) as well as transgenic breeding have made enormous contributions to increased food production, but new cost-effective and safe approaches are needed to meet future demand. Currently, cross breeding improves cultivars by crossing compatible germplasm to introduce genetic variants and by selecting outstanding progeny with the desired trait[1]. Mutation is induced by exposure to mutagens such as ethyl methanesulfonate (which mainly induces single base C to T and G to A substitutions) and irradiation with, for example, X-rays (which usually induce small deletions of no more than 20 bp)[2]. All these conventionally bred cultivars have good safety records and fall outside regulatory controls worldwide. Transgenesis produces genetically-modified (GM) crops by transferring foreign genes into elite background cultivars. However, the procedure raises concern in terms of potential risks to health and the environment due to the random integration of foreign DNA into the host genome. This has provoked strict regulation and permission is required for commercial exploitation in most countries[3].
Genome editing, involving targeted manipulation of the genome by site-directed nucleases (SDNs), provides a powerful tool for precision crop breeding. The great advantage of this technology is that it can introduce novel traits without threatening the stability of the whole genome, and the genome-edited plants cannot be distinguished from unmodified plants. The clustered regulatory interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein (Cas) systems are the most widely adopted SDN[4]. Precision plant gene editing was selected as one of the ten breakthrough technologies in 2016 by the MIT Technology Review because of the contribution of its great potential to solve the future food crisis. The prospect of a new green revolution made possible by genome editing is approaching. However, most research has been in the form of proof of concept. Scientifically-based regulation of genome edited crops (GECs), positive and effective public communication, and optimization and development of the technology are key elements needed to propel these novel products from the laboratory to the marketplace worldwide to benefit from this innovation.

Development and application of CRISPR genome editing technologies for precision crop breeding

Plant CRISPR genome editing has made great progress[4] since the first use of CRISPR/Cas9 in plants was reported in 2013[57]. Cas9, Cas12a, Cas12b, Cas13a, Cas13b and many variants demonstrated DNA or RNA editing abilities have been added to the toolbox. Targeted gene knockout, gene replacement, gene insertion, and multiplex editing with CRISPR/Cas9 or CRISPR/Cas12a have been conducted in many plant species.
CRISPR reagents (Cas/sgRNA) are delivered into plant cells via Agrobacterium-mediated transformation or particle bombardment to generate edited crops, and mutant plants are regenerated from the edited cells by tissue culture[8]. Normally, the Cas/sgRNAs induce DNA double strand breaks (DSBs) which recruit the DNA repair pathways of non-homologous end joining (NHEJ) and homologous repair (HR), leading to editing via gene knockout, replacement or insertion (Fig. 1). The NHEJ repair pathway, which is supplied with an SDN only, is an error-prone repair pathway and usually induces insertions of a small number of base pairs or small deletions (indels) at the breaks. Given that NHEJ is the predominant repair pathway, targeted sequence mutations (which we classify as SDN-1) are the most common outcome. The HR repair pathway, supplied with homologous DNA templates along with SDNs, is used to introduce specific point mutations or sequence replacements (SDN-2) or to insert desired sequences (SDN-3) at the target site. Also, the programmable DNA binding ability of the CRISPR/Cas system provides a versatile platform for recruitment of different functional domains to target sites. Precise base pair substitutions can also be generated even in the absence of DSBs.
Fig.1 Classification of CRISPR/Cas genome editing techniques according to DNA repair mechanism.

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Base editing (BE) provides an efficient and simple strategy for obtaining base pair substitutions independent of HR and without generating DSBs and providing template DNA. The main principle of BE is to fuse a deaminase to nCas9 or dCas9[9]. The sgRNA directs the nCas9/dCas9-deaminase to the target sequence and the deaminase converts the targeted base pairs in the editing window. Two types of base editors, cytosine base editors and adenine base editors, have been used in plants. Most recently, Anzalone et al. have introduced prime editing (PE) in which an engineered reverse transcriptase and a PE guide RNA are combined with CRISPR/nCas9[10]. This technology involves no DSBs or donor DNA template and is a powerful and versatile search-and-replace tool that can generate all 12 base-to-base conversions as well as targeted deletions and insertions, and even combinations of these changes. There is no doubt that PE will soon be applied to crop plants.
In addition, the development of genome editing methods that do not involve the use of foreign DNA is likely to overcome regulatory barriers and alleviate public concern. Using purified Cas9 and in vitro-transcribed sgRNAs to form ribonucleoproteins (RNPs), DNA-free genome editing methods have been used in Arabidopsis, lettuce, maize, rice, tobacco and wheat[1113].

Applications in precision crop breeding: from trait improvement to new crops

Substantial progress has been made in the field of precision crop breeding with the development of CRISPR technologies. Applications have varied from trait improvement to innovative cross breeding and exploited in creating new crops by de novo domestication of wild species[7]. The main contributions of CRISPR have been improvements in key agronomic traits and the incorporation of novel traits that could not be obtained by cross breeding methods.

SDN-1 mediated trait improvement

SDN-1 has been used to create loss-of-function null mutants by generating a frameshift or introducing a stop codon. The most common SDN-1-mediated trait improvements have involved knocking out negative control genes or elements in order to improve yield or quality, or increase biotic- or abiotic-stress resistance. For instance, powdery mildew is a devastating worldwide disease of cereal crops. No natural hexaploid bread wheat germplasm with durable resistance to powdery mildew has been discovered due to the genetic redundancy of bread wheat. In 2014, Wang et al. generated powdery mildew-resistant wheat[14] using TALEN and CRISPR to disrupt all three homeologs of the TaMLO gene, and in so doing, genome editing created genetic variants that cross breeding could not. The capacity of CRISPR to perform multiplex editing has allowed the development of the procedure of trait stacking by which Xu et al. simultaneously knocked out three grain weight-related genes (GW2, GW5 and TGW6) to increase rice grain weight[15]. More importantly, Sanchez-Leon et al. created a low-gluten wheat designed for patients with celiac disease[16] through simultaneous knockout of most of the conserved domains of nearly 100 a-gliadin family members. In addition to disrupting gene function by deleting coding sequences, it has proved possible to fine-tune gene regulation by knocking out regulatory elements. Zhang et al. showed that disrupting endogenous upstream open reading frames (uORFs) could increase the translation of certain mRNAs[17]. Thus, by editing the uORF of LsGGP2, they obtained a modified lettuce with about 150% increased ascorbate content. Recently, targeted disruption of the promoter of rice SWEET gene was shown to be an efficient solution to rice bacterial blight[18].
Concurrently, genome editing has removed some cross-breeding bottlenecks. For example, hybridization is a very successful approach for improving crop productivity and adaptability, but the heterosis of F1 hybrids is not retained in subsequent generations and the cost of hybrid seed production is prohibitive. Through substituting mitosis for meiosis by simultaneously knocking out three key meiotic genes, REC8, PAIR1 and OSD1, Khanday et al.[19] and Wang et al.[20] independently were able to fix hybrid vigor by propagating seeds produced either by specific expression of BBM1 in the egg or knocking out MTL in hybrid rice.

SDN-2 and SDN-3 mediated trait improvements

SDN-2-mediated gene replacement and SDN-3-mediated gene insertion can confer traits by producing base pair substitutions or gene expression changes or by adding new function; hence, they are of great value in crop improvement. Trait improvements through gene replacement or gene insertion have been limited so far due to the low efficiency of the HR pathway. The most impressive example to date is the production of drought tolerant maize. Shi et al. increased ARGOS8 expression by substituting a stronger GOS2 promoter in place of the native promoter[21]. Herbicide resistance traits, which can be enriched by selection, are also a good example of this. For example, Sun et al. created sulfonylurea-based herbicide-resistant rice through HR-generated base substitutions in ALS[22]. TIPS EPSPS glyphosate-resistant rice was created based on an intron-targeting strategy using NHEJ instead of the less efficient HR-mediated gene replacement and insertion[23].

Trait improvements developed by BE

Single nucleotide polymorphisms (SNPs) are the main source of genetic diversity. Introducing elite SNPs into modern cultivars is therefore an efficient approach to crop improvement. A popular application of BE has been to introduce base pair changes in target genes that confer herbicide resistance in crops such as cotton, maize, rice, watermelon and wheat. Wheat strains with tolerance to multiple herbicides such as sulfonylurea-, imidazolinone- and aryloxyphenoxy propionate-type herbicides have recently been generated by BE[24].

Creating new crops

Plant domestication can be traced back to over 10000 years ago. Direct selection applied to wild plants over a long time has succeeded in increasing productivity but has often been accompanied by loss of fitness and of genetic diversity. De novo domestication of wild species to create new crops by genome editing has been achieved[2527]. For example, by multiplex editing of coding regions of SELF-PRUNING and SELF-PRUNING 5G, together with cis-regulatory regions of CLV3 and WUS or uORFs of GGP1, Li et al. generated a de novo domesticated tomato with compact plant architecture, synchronized fruit ripening, day length insensitivity, enlarged fruit size and increased vitamin C levels[25]. These innovations represent successful attempts at developing new improved crops in order to avoid future crises and maintain food security in sustainable low-input agricultural economies.

The global regulatory landscape for genome-edited crops

Since last century biotechnology regulations have been ratified in most countries to ensure that crops that have been genetically modified by modern biotechnology are as safe as conventional products of traditional breeding[28]. Product-based and process-based regulation are alternative regulatory frameworks adopted in different countries and regions[29]. In product-based regulation, only the improved trait and the biological product itself are the objects of regulation; conversely, process-based regulation is based the use of a GM process.
GECs do not fit well in the existing GMO regulatory framework as a result of the explosion in technological innovations, and it seems time to refine the current regulatory rules to fit the new products. More and more countries such as Argentina, Australia, Brazil, Canada, Chile, Japan and the United States are starting to amend their rules to deregulate certain GECs. In 2015, using a case-by-case process, product-based Argentina created the world’s first legislation (Resolution 173, 2015) that accepted that new plant breeding technology bred plants (including GECs), without novel recombination and having no resident transgenes, need not be covered by GMO regulations[30]. Other South American countries including Chile, Brazil and Colombia have announced similar decisions[31]. Regulation in Canada, a typical country with product-based regulation, depends on the novelty of the created trait: if it is not novel, then it does not need to be regulated regardless of what breeding method is adopted[32]. Despite adopting a process-based regulatory framework, Australia opened the door to the planting and commercialization of GECs in 2019. It announced that if no new genetic material was introduced, genetic edits made without templates (such as SDN-1) were exempt from regulation[33]. Also, GECs modified by DNA-free editing with Cas9/sgRNA RNP were not subject to regulation since from the step of modification occurs. In the same year, Japan announced a new policy according to which loss-of-function GECs without resident foreign DNA were the same as non-GECs and GE foods and were permitted in the market while registration was pending[34]. The United States prefers a case-by-case product-based regulatory approach. According to a USDA statement in 2018, GECs based on deletions or single base pair substitution will not be regulated as long as they are not plant pests or have been developed using plant pests[35]. Many GECs such as powdery mildew resistant wheat, drought and salt tolerant soybean, camelina with increased oil content, waxy corn and anti-browning mushrooms have already received approval for commercial use. In March 2019, Calyxt announced that Calyno™ high oleic soybean oil produced by GE soybeans would shortly be on the market in the USA. In 2018, 13 nations including Argentina, Australia, Brazil, Canada and the USA issued a joint statement which agreed to support agricultural applications of precision biotechnology[36].
In contrast, under a process-based regulatory framework, the EU following European GMO Directive 2001/18/EC declared in 2018 that all the above GECs were subject to GMO regulation[37]. Many other countries including China are watching developments and have not yet decided how to regulate GECs. Worldwide delays in legislation have increased the time-lag between the rapid development of GECs and market commercialization.

Scientific aspects of regulation of genetically-edited crops

In view of the major benefits to human life expected from GE innovations, Huang et al. and their colleagues from the USA, China and Germany have proposed a five-step product-focused regulatory framework for GECs[38]. This proposal provides scientific guidelines for the development of regulations. To provide a rational basis for regulation, we suggest classifying GECs according to the nature of the products and the editing method used.
As described before, there are three types of DSB-dependent editing methods (Fig. 2). SDN-1, small indel mutations without template DNA, have something in common with changes produced by random mutagenesis but are much more specific and straightforward. SDN-2, point mutations or sequence replacements made in conjunction with short template DNAs but identical to their target sequences except for a few base pairs and resemble normal DNA repair involving different alleles. SDN-3, with inserts of new DNA sequences at predetermined sites, are more specific than random insertions and avoid the side-effects of the latter. There are also two other types of editing methods (BE and PE) that are the result of DSB-independent editing. BE, single base pair substitutions without the involvement of DSBs or template DNA, are essentially alternatives to SDN-2. PE provides a complementary method for generating genetic changes, such as precise deletions and nucleotide substitutions, that cannot be achieved with current genome editing tools in plants.
The GECs produced by SDN-1, BE and PE do not contain any exogenous DNA fragments, but carry substitutions or other DNA modifications similar to or indistinguishable from mutants obtained by mutagenesis. So, from a scientific and safety perspective, if no novel traits are introduced, these products should be treated like conventionally bred cultivars exempted from GMO regulation (Fig. 2). In the case of GECs produced by SDN-2, regulation should depend on the length of the template DNA used; provided it is shorter than 20 bp, regulation should not be needed. Finally, GECs produced by SDN-3 should be subject to GMO regulation, either process- or product-based.
Fig.2 Scientific regulation of GECs developed by different genome editing techniques.

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Challenges and prospects

Genome editing is an accurate and timesaving innovation that provides an unprecedented ability to facilitate precision crop breeding. However, most of the achievements, genetically-edited crop plants, remain as experimental products in laboratories. The challenges for both science and society need to be carefully considered.
In terms of the science, target gene selection and genome editing are the two key steps in producing a precision crop breeding pipeline. The discovery of target genes related to important agronomic traits and further developments in genome editing are therefore the two most important tasks. Although low cost genome sequencing technology has yielded more than 200 plant genome sequences[39], there are only a few candidate genes for editing. A bottleneck to discovering target genes is in linking the very large amount of available sequence data to specific traits. This will require developing large scale approaches to connecting phenotype with genotype to efficiently detect trait-gene associations, and to identify and prioritize candidate genes that promote crop improvement. Another challenge of CRISPR technology is the low efficiencies of delivery systems, which greatly impedes the widespread adoption of genome editing of crops. The major delivery systems currently established in crops are inefficient, tissue culture-dependent and restricted to a limited number of genotypes in a few crop species. Increasing delivery efficiency and developing genotype-independent and tissue culture-free delivery systems via the germ line or meristematic cells are therefore key challenges.
Governments, developers, growers, and consumers all play important roles in the genome editing economy chain. Active cooperation and communication between them are critical to enhance GECs and related products and move them into the market. Governments should protect the benefits of all parts, thus rational regulatory mechanisms are required to manage GEC production and guarantee that all information is open to the public. Public trust in developers impacts the perception of benefits and the risk of GECs too. Traceable systems for GEC products will be helpful. At this stage, independent licensed organizations may help to narrow the gap between developers and consumers and to evaluate scientifically the safety of GECs and products. Consumers will be the most important factor in commercializing genome editing products. However, persuading people of different educational backgrounds to trust novel agricultural products, given the widespread conservatism about GM foods and products, is a major challenge. Hence, positive and effective public communication to help the public understand this novel technology, and at least to treat GE food differently from GM food, would be a start. In this situation we strongly suggest creating a regulatory framework based not only on scientific considerations but also on public acceptance. We recommend that researchers use DNA-free editing with Cas9 RNP and base editor RNP to produce GECs and that the regulatory authorities be more open with the public since transparency should help gain public trust.
Genome editing has been used as a new plant breeding technique and genome-edited crops are on the point of commercialization. However, whether genome editing will revolutionize agriculture and realize its tremendous potential for crop breeding will depend on how regulators and society respond.

References

[1]
Food and Agriculture Organization of the United Nations (FAO). Save and Grow. A policymaker’s guide to the sustainable intensification of smallholder crop production. Rome: FAO, 2011
[2]
Brader L, Djibo H, Faye F G, Ghaout S, Lazar M, Luzietoso P M, Ould Babah M A. Towards a more effective response to desert locusts and their impacts on food security, livelihoods and poverty. Multilateral evaluation of the 2003–2005 Desert Locust campaign. Rome: FAO, 2006
[3]
Eschen R , Beale T , Bonnin J M , Constantine K L , Duah S , Finch E A , Makale F , Nunda W , Ogunmodede A , Pratt C F , Thompson E , Williams F , Witt A , Taylor B . Towards estimating the economic cost of invasive alien species to African crop and livestock production. CABI Agriculture and Bioscience, 2021, 2( 1): 18
CrossRef Google scholar
[4]
Scheerer L , Pemsl D E , Dita M , Perez Vicente L , Staver C . A quantified approach to projecting losses caused by Fusarium wilt tropical race 4. Acta Horticulturae, 2018, 1196( 1196): 211–218
CrossRef Google scholar
[5]
Schneider K , van der Werf W , Cendoya M , Mourits M , Navas-Cortés J A , Vicent A , Oude Lansink A . Impact of Xylella fastidiosa subspecies pauca in European olives. Proceedings of the National Academy of Sciences of the United States of America, 2020, 117( 17): 9250–9259
CrossRef Google scholar
[6]
Food and Agriculture Organization of the United Nations (FAO). Desert Locust upsurge. Mitigating the worst case scenario through anticipatory action. Discussion paper (unpublished). Rome: FAO, 2020, 9
[7]
Zhang L , Lecoq M , Latchininsky A , Hunter D . Locust and grasshopper management. Annual Review of Entomology, 2019, 64( 1): 15–34
CrossRef Google scholar
[8]
Bebber D P , Ramotowski M A T , Gurr S J . Crop pests and pathogens move polewards in a warming world. Nature Climate Change, 2013, 3( 11): 985–988
CrossRef Google scholar
[9]
Deutsch C A , Tewksbury J J , Tigchelaar M , Battisti D S , Merrill S C , Huey R B , Naylor R L . Increase in crop losses to insect pests in a warming climate. Science, 2018, 361( 6405): 916–919
CrossRef Google scholar
[10]
Ziter C , Robinson E A , Newman J A . Climate change and voltinism in Californian insect pest species: sensitivity to location, scenario and climate model choice. Global Change Biology, 2012, 18( 9): 2771–2780
CrossRef Google scholar
[11]
International Plant Protection Convention (IPPC) Secretariat. Scientific review of the impact of climate change on plant pests—a global challenge to prevent and mitigate plant pest risks in agriculture, forestry and ecosystems. Rome: FAO on behalf of the IPPC Secretariat, 2021
[12]
Tang F H M , Lenzen M , McBratney A , Maggi F . Risk of pesticide pollution at the global scale. Nature Geoscience, 2021, 14( 4): 206–210
CrossRef Google scholar
[13]
Sánchez-Bayo F , Wyckhuys K A G . Worldwide decline of the entomofauna: a review of its drivers. Biological Conservation, 2019, 232 : 8–27
CrossRef Google scholar
[14]
Stanton R L , Morrissey C A , Clark R G . Analysis of trends and agricultural drivers of farmland bird declines in North America: a review. Agriculture, Ecosystems & Environment, 2018, 254 : 244–254
CrossRef Google scholar
[15]
Mullié W C. Don’t kill your allies. The impact of chemical and biological locust and grasshopper control on birds. Dissertation for the Doctoral Degree. Wageningen: Wageningen University & Research, 2021, 170
[16]
Holmes A H , Moore L S , Sundsfjord A , Steinbakk M , Regmi S , Karkey A , Guerin P J , Piddock L J V . Understanding the mechanisms and drivers of antimicrobial resistance. Lancet, 2016, 387( 10014): 176–187
CrossRef Google scholar
[17]
Food and Agriculture Organization of the United Nations (FAO). FAOSTAT statistical database. Rome: FAO, 2021. Available at FAO website on September 1, 2021
[18]
Carson R. Silent spring. Cambridge, USA: Houghton Mifflin Company, 1962
[19]
Gould F , Brown Z S , Kuzma J . Wicked evolution: can we address the sociobiological dilemma of pesticide resistance?. Science, 2018, 360( 6390): 728–732
CrossRef Google scholar
[20]
Sparks T C , Bryant R J . Crop protection compounds—trends and perspective. Pest Management Science, 2021, 77( 8): 3608–3616
CrossRef Google scholar
[21]
Van Boxstael S , Habib I , Jacxsens L , de Vocht M , Baert L , van de Perre E , Rajkovic A , Lopez-Galvez F , Sampers I , Spanoghe P , de Meulenaer B , Uyttendaele M . Food safety issues in fresh produce: bacterial pathogens, viruses and pesticide residues indicated as major concerns by stakeholders in the fresh produce chain. Food Control, 2013, 32( 1): 190–197
CrossRef Google scholar
[22]
Sandoval-Insausti H , Chiu Y H , Lee D H , Wang S , Hart J E , Mínguez-Alarcón L , Laden F , Ardisson Korat A V , Birmann B , Heather Eliassen A , Willett W C , Chavarro J E . Intake of fruits and vegetables by pesticide residue status in relation to cancer risk. Environment International, 2021, 156 : 106744
CrossRef Google scholar
[23]
Dutcher J D. A review of resurgence and replacement causing pest outbreaks in IPM. In: Ciancio A, Mukerji K G, eds. General concepts in Integrated Pest and Disease Management. Berlin: Springer, 2007, 27–43
[24]
Wu J , Ge L , Liu F , Song Q , Stanley D . Pesticide-induced planthopper population resurgence in rice cropping systems. Annual Review of Entomology, 2020, 65( 1): 409–429
CrossRef Google scholar
[25]
Patil C , Udikeri S S , Karabhantanal S S . A note on pesticide induced resurgence of two spotted spider mite, Tetranychus urticae (Acari: Tetranychidae) on grape. Persian Journal of Acarology, 2018, 7( 1): 75–84
[26]
Wang S Y , Qi Y F , Desneux N , Shi X Y , Biondi A , Gao X W . Sublethal and transgenerational effects of short-term and chronic exposures to the neonicotinoid nitenpyram on the cotton aphid Aphis gossypii. Journal of Pest Science, 2017, 90( 1): 389–396
CrossRef Google scholar
[27]
Howitt A J. Common tree fruit pests. North Central Regional Extension Publication No. 63. East Lansing: Michigan State University, 1993, 252
[28]
Hardin M R , Benrey B , Coll M , Lamp W O , Roderick G K , Barbosa P . Arthropod pest resurgence: an overview of potential mechanisms. Crop Protection, 1995, 14( 1): 3–18
CrossRef Google scholar
[29]
Heeb L , Jenner E , Cock M J W . Climate-smart pest management: building resilience of farms and landscapes to changing pest threats. Journal of Pest Science, 2019, 92( 3): 951–969
CrossRef Google scholar
[30]
He H M , Liu L N , Munir S , Bashir N H , Wang Y , Yang J , Li C Y . Crop diversity and pest management in sustainable agriculture. Journal of Integrative Agriculture, 2019, 18( 9): 1945–1952
CrossRef Google scholar
[31]
Alyokhin A , Nault B , Brown B . Soil conservation practices for insect pest management in highly disturbed agroecosystems—a review. Entomologia Experimentalis et Applicata, 2020, 168( 1): 7–27
CrossRef Google scholar
[32]
Ratnadass A , Fernandes P , Avelino J , Habib R . Plant species diversity for sustainable management of crop pests and diseases in agroecosystems: a review. Agronomy for Sustainable Development, 2012, 32( 1): 273–303
CrossRef Google scholar
[33]
Naranjo S E . Impacts of Bt transgenic cotton on integrated pest management. Journal of Agricultural and Food Chemistry, 2011, 59( 11): 5842–5851
CrossRef Google scholar
[34]
Song B , Seiber J N , Duke S O , Li Q X . Green plant protection innovation: challenges and perspectives. Engineering, 2020, 6( 5): 483–484
CrossRef Google scholar
[35]
Bramlett M , Plaetinck G , Maienfisch P . RNA-based biocontrols—a new paradigm in crop protection. Engineering, 2020, 6( 5): 522–527
CrossRef Google scholar
[36]
Huang B , Chen F , Shen Y , Qian K , Wang Y , Sun C , Zhao X , Cui B , Gao F , Zeng Z , Cui H . Advances in targeted pesticides with environmentally responsive controlled release by nanotechnology. Nanomaterials, 2018, 8( 2): 102
CrossRef Google scholar
[37]
Matthews G A . New Technology for Desert Locust Control. Agronomy, 2021, 11( 6): 1052
CrossRef Google scholar
[38]
Food and Agriculture Organization of the United Nations (FAO). Farmers taking the lead—thirty years of Farmer Field Schools. Rome: FAO, 2019. Available at FAO website on September 1, 2021
[39]
Naika M B N, Kudari M, Devi M S, Sadhu D S, Sunagar S. Digital extension service: quick way to deliver agricultural information to the farmers. In: Galanakis C M, ed. Food Technology Disruptions. Academic Press, 2021: 285–323
[40]
Yang C . Remote sensing and precision agriculture technologies for crop disease detection and management with a practical application example. Engineering, 2020, 6( 5): 528–532
CrossRef Google scholar
[41]
Organisation for Economic Co-operation and Development (OECD). Farm management practices to foster green growth. Paris: OECD Publishing, 2016
[42]
Lee R , den Uyl R , Runhaar H . Assessment of policy instruments for pesticide use reduction in Europe; learning from a systematic literature review. Crop Protection, 2019, 126 : 104929
CrossRef Google scholar
[43]
Handford C E , Elliott C T , Campbell K . A review of the global pesticide legislation and the scale of challenge in reaching the global harmonization of food safety standards. Integrated Environmental Assessment and Management, 2015, 11( 4): 525–536
CrossRef Google scholar
[44]
Fenibo E O , Ijomat G N , Matambo T . Biopesticides in sustainable agriculture: a critical sustainable development driver governed by green chemistry principles. Frontiers in Sustainable Food Systems, 2021, 5 : 619058
CrossRef Google scholar
[45]
Food and Agriculture Organization of the United Nations (FAO). Q & A on pests and pesticide management. Rome: FAO, 2021. Available at FAO website on September 1, 2021
[46]
United Nations Conference on Trade and Development (UNCTAD). Financing organic agriculture in Africa. Mapping the issues. UNCTAD, 2016. Avaiable at UNCTAD website on September 1, 2021
[47]
Carvajal-Yepes M , Cardwell K , Nelson A , Garrett K A , Giovani B , Saunders D G O , Kamoun S , Legg J P , Verdier V , Lessel J , Neher R A , Day R , Pardey P , Gullino M L , Records A R , Bextine B , Leach J E , Staiger S , Tohme J . A global surveillance system for crop diseases. Science, 2019, 364( 6447): 1237–1239
CrossRef Google scholar

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The Author(s) 2021. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)
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