Next Article in Journal / Special Issue
Comparison of the Gill Microbiome of Retail Oysters from Two Geographical Locations Exhibited Distinct Microbial Signatures: A Pilot Study for Potential Future Applications for Monitoring Authenticity of Their Origins
Previous Article in Journal
Biocontrol of Grapevine Crown Gall Performed Using Allorhizobium vitis Strain ARK-1
Previous Article in Special Issue
Forensic Analysis of Novel SARS2r-CoV Identified in Game Animal Datasets in China Shows Evolutionary Relationship to Pangolin GX CoV Clade and Apparent Genetic Experimentation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Impacts of the Green Revolution on Rhizosphere Microbiology Related to Nutrient Acquisition

Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO 80525, USA
*
Author to whom correspondence should be addressed.
Appl. Microbiol. 2022, 2(4), 992-1003; https://doi.org/10.3390/applmicrobiol2040076
Submission received: 11 November 2022 / Revised: 24 November 2022 / Accepted: 28 November 2022 / Published: 30 November 2022
(This article belongs to the Special Issue Microbiome in Ecosystem 2.0)

Abstract

:
The Green Revolution (GR) involved selective breeding of cereals and the use of high fertilizer inputs with the goal of increasing crop yields to alleviate hunger. As a result of both greater use of inorganic fertilizers and the introduction of semi-dwarf cultivars, grain yield increased globally and hunger was alleviated in certain areas of the world. However, these changes in varietal selection and fertilization regimes have impacted soil fertility and the root-associated microbiome. Higher rates of inorganic fertilizer application resulted in reduced rhizosphere microbial diversity, while semi-dwarf varieties displayed a greater abundance of rhizosphere microbes associated with nitrogen utilization. Ultimately, selection for beneficial aboveground traits during the GR led to healthier belowground traits and nutrient uptake capabilities.

1. Introduction

In the 1960s, intensive breeding efforts and agricultural practices aiming to increase yield resulted in the Green Revolution (GR). The GR was a technological revolution that was centered on the development of high-yielding, hybrid crops in conjunction with modern fertilization regimes [1]. Before the GR, synthetic fertilizers were not commercially available, and farmers often relied on organic amendments, such as compost and animal manure, to meet crop demand. Growers produced greater yield because of GR innovations, such as year-round production, increased cropping area, greater fertilizer use, use of chemical pesticides, and introduction of high yielding varieties [1,2]. Steady gains in cereal crop yield were a result of the interplay of improved varieties and heavy fertilization [2,3].
High yielding cereal crops developed during and after the GR have also been shown to be more responsive to nitrogen (N) and phosphorus (P) application as compared to traditional cultivars [1]. GR-era rice varieties necessitated greater applications of high-N fertilizer to enhance yield [4]. Mutant alleles used during the GR, including sd1 and Rht, are associated with inhibited N uptake, which may explain the different fertilizer requirements among old and new varieties [5]. The sd1 gene is the predominant dwarfing gene in rice and has been shown to be associated with a loss-of-function of a gibberellin20-oxidase (GA20ox) gene (Os20ox2) [6]. The enzyme GA20ox catalyzes gibberellin (GA) biosynthesis and shoot elongation, so deficiencies in GA would result in dwarfism, a feature that was of interest during the GR [7,8]. Similarly, Rht alleles in wheat were shown to express insensitivity to GA [9]. Because GA mediates the activity of nitrate transporters and N uptake [10], cultivars expressing GA suppression would have reduced N uptake capabilities. Thus, to accumulate greater yield, GR-era cultivars would have required greater fertilizer application.
With repeated application of high rates of chemical fertilizers, modern crops have become dependent on chemical fertilizers for healthy growth [11]. Further, high N application has led to N leaching, which causes eutrophication and reduced aquatic population abundance [12]. Therefore, one of the unintended consequences of the GR was the contamination of water systems with excess synthetic chemical fertilizers [13] that created biodiversity imbalances, such as the Red Tide of microscopic algae [14].
When excessive synthetic fertilizers are applied to soils, imbalances are also created in soil microbial communities. At high rates of synthetic fertilizer application, soil microbial functionality and symbiosis are often reduced or are non-apparent [15]. For instance, at high rates of N fertilization, N-fixing bacteria were highly diminished when compared to unfertilized soils [16]. Similarly, addition of P fertilizers has been shown to decrease the abundance of P-solubilizing bacteria, including Pseudomonas and Bacillus [17]. These effects are important because soil microbes are essential to plant nutrient acquisition, and recent rhizosphere microbiome projects have revealed a complex network of other beneficial microbes that are involved in nutrient acquisition [18,19,20]. For example, phosphate solubilizing bacteria, such as Pseudomonas and Bacillus, exude hydrogen (H) ions, organic acids, and chelating agents to solubilize sparingly soluble forms of soil P [18]. Other beneficial bacteria facilitate N transfer, and in legumes, symbiosis can be formed with N-fixing rhizobia that transform atmospheric N to plant available forms in return for photosynthates [21]. Further, there are many beneficial fungi that form symbiosis with plants. Mycorrhizal fungi alter soil structure by creating aggregates and increasing the root surface area. These fungi facilitate uptake of essential nutrients, primarily P [22] and potassium (K) [23].
While disruption of plant-microbe associations is difficult to track, numerous studies highlighting changes in the abundance or function of soil bacteria across a domestication gradient have indicated that modern crops interact differently with beneficial microbes in the soil compared to wild varieties and landraces [24,25,26,27]. Because crop domestication has led to a decrease in genetic diversity of cultivated compared to wild crops, the capability of establishing symbiosis between plants and beneficial microbes may have been negatively impacted at domestication [28]. Breeding efforts after crop domestication involved increasing yield, compacting growth, and reducing shattering [8]. GR breeding efforts have similarly focused on enhancing aboveground traits [29]. However, because belowground traits were not emphasized, disruption of microbial symbiosis may have occurred as a function of domestication and was further accentuated by the GR.
In this review, we delineate how the microbiology and function of beneficial microbes in the rhizosphere of staple crops has been impacted by the breeding efforts and fertilization practices of the GR. This review outlines these effects on staple crops heavily modified by the GR: wheat, rice, maize, sorghum, and barley.

2. Microbe Facilitated Nutrient Acquisition

Soil microbes cycle nutrients required to sustain plant growth, and many beneficial microbes mobilize essential elements from sparingly soluble soil sources through processes such as decomposing organic matter and dissolving precipitates [30,31]. Some soil microbes work symbiotically with plants by utilizing their root exudates [30]. Further, exuded labile carbon enhances microbial growth which, in turn, improves N acquisition [32].
Nitrogen acquisition is further enhanced through symbiosis with beneficial soil bacteria. Common soil bacterial phyla, including Actinobacteria, Acidobacteria, and Bacteroidetes, contain members capable of nitrification and ammonification [33]. Nitrogen conversion pathways present within soil microorganisms support plant nutrient assimilation by converting N from sparingly available to bioavailable forms [34]. Soil microbes also exude organic anions which solubilize P through ligand exchange and precipitate dissolving reactions. These reactions are invaluable to plant nutrient acquisition because P is limited in bioavailability due to processes such as fixation, immobilization, and sorption which result in an accumulation of sparingly soluble P sources in the soil. High concentrations of soil K are similarly stored in sparingly available pools that can be exploited by soil bacteria [35]. Many soil bacteria are capable of solubilizing K, and some genera can solubilize up to 175 mg/L K [32,35]. Because of their ability to solubilize essential nutrients from sparingly soluble sources, some beneficial soil microbes reduce the need of synthetic fertilizers. However, because a marker of the GR was increased fertilizer application, those plant-microbe interactions may have been impacted in newer cultivars.

3. Influence of the Green Revolution on the Rhizosphere Microbiome of Staple Crops

3.1. Wheat

Wheat is a longstanding component of global agriculture. Wild wheat [(Triticum turgidum ssp. dicoccoides) (Körn. ex Asch. & Graebner) Thell.] appeared in the Fertile Cresent approximately 500,000 years ago, and early forms of domesticated wheat (T. turgidum ssp. dicoccum Schrank ex Schübl) were cultivated over 10,000 years ago [36]. Traits modified by farmers during early wheat cultivation included development of a non-brittle rachis, presence of a naked grain, and increased grain size [36]. The GR later introduced new plant breeding goals for wheat varieties. The International Maize and Wheat Improvement Center (CIMMYT) was established to improve bread (T. aestivum) and durum (T. durum Desf.) wheat varieties during the GR in the mid-1900s. The germplasm developed by the CIMMYT showcased semi-dwarfism, photoperiod insensitivity, and increased grain yield [37,38].
Belowground traits have also been indirectly impacted by domestication and the GR. Domestication and GR breeding efforts have, for instance, influenced the root exudate profile of wheat and the resultant microbial composition in the rhizosphere. Wheat root exudates have been shown to differ in composition across a domestication gradient between modern durum wheat, a primitive domestic wheat, and a wild wheat relative [39]. Similarly, rhizosphere bacterial communities from modern (semi-dwarf) cultivars have been shown to be different from traditional (tall) cultivars [26]. Tall varieties not only expressed a greater level of connectedness when compared to semi-dwarf varieties, but also tall and semi-dwarf varieties showed different relative phylum abundances. Modern, semi-dwarf varieties had a greater proportion of Verrucomicrobia, Acidobacteria, and Planctomycetes in the rhizosphere than traditional, tall varieties [26]. These bacterial groups are common in soil environments, and many members of Verrucomicrobia and Acidobacteria have been shown to move toward and proliferate on root-released exudates [40]. Sources of nutrients unavailable to plants, such as hydrolysable N, are transformed by these rhizosphere bacterial taxa and are then taken up by the plant root [41].
The higher proportion of beneficial microbes in the rhizosphere of modern wheat may also be a result of root architecture. Modern wheat root systems have a larger proportion of fine roots than ancestral wheat [42], and the presence and length of fine roots has been shown to influce rhizosphere bacterial community structure in plants, such as moso bamboo (Phyllostachys edulis) [43] and peach (Prunus persica) [44]. Similarly, the Rht-B1 allele present in modern wheat has been shown to be correllated to an increase in the longest root length and total root length of wheat root systems [45]. However, although the dwarfing gene has been linked to increasing root length [45], modern wheat root systems are more shallow than ancestral wheat [42,46]. Although Rht gene may partially modulate root growth, wheat roots may also be undergoing topsoil foraging in modern agroecosystems. The differing depths of root systems in modern and ancestral wheat may relate to more competitive resource acquisition efficiency of modern cultivars because the shallow soil hoizons are associated with nutrient-rich topsoil [42,47].
The competitive performance of modern wheat varieties is also a result of dramatic changes to commercial wheat production practices, including higher inorganic-N fertilizer use and monoculture cropping systems. These changes in fertilization and production may have influenced the wheat rhizobiome. Increasing inorganic N fertilization has been shown to destabilize bacterial community structure in the rhizosphere of wheat [48]. Reductions in bacterial abundance and diversity have lasting impacts on soil health. Soil microbial community diversity is a predictor of soil health because of the ability of these bacteria to both form beneficial relationships with plant systems and to serve as bioindicators for soil ecosystems [49]. Increasing levels of inorganic N fertilization led to a reduction in soil bacterial richness and diversity, including Acidobacteria and Planctomycetes members [50], which may therefore impact soil health. However, at tillering, the abundance of Actinobacteria and Proteobacteria members increased. This change in abundance can be explained by wheat root exudation; organic acid exudation may have resulted in recruitment of microbes adapted to high N conditions [51].

3.2. Rice

Asian rice (Oryza sativa L.) is one of the most globally important food crops [52,53]. During domestication from two subpopulations (Or-I and Or-II) of the wild progenitor, O. rufipogon, two major subspecies (O. sativa ssp. japonica and O. sativa ssp. indica) developed [53]. Compared to wild rice, modern Asian cultivars have larger seeds, stronger determinate growth, stronger apical dominance, and non-shattering seeds [53]. Although rice is one of the most protected crops globally, production has dramatically increased beginning with the GR [52]. Increased rice production following the GR is attributed to GR-era farming technologies and development of elite cultivars that are semi-dwarf and early maturing [52].
The higher performing rice varieties developed during the GR were semi-dwarf and resistant to lodging, traits regulated by the sd-1 gene [54]. The sd-1 semi-dwarfing gene encodes the enzyme GA20ox, which catalyzes GA biosynthesis [54]. Varieties with the GA20Ox2 (sd-1) mutation inactivate synthesis of GA at the primary growth stage of rice, thus leading to smaller plant height [54,55]. Overexpression of GA20ox not only reduced plant height, but also increased adventitious root growth in rice [55]. Greater adventitious root growth alters soil structure and increases root exudation of phosphatases, siderophores, phytohormones, and organic acids. Exudation of these compounds because of adventitious root formation supports relationships with copiotrophic bacteria that proliferate in nutrient-rich soils [56,57]. The relative abundance of these bacteria may increase with N additions [57].
Adequate N fertilization rates increase the density, quality, and number of roots. With moderate increases in N fertilization, root senescence is delayed and total root absorption area increases [58]. Thicker roots have been associated with a greater abundance of Bacteroidetes in other crops [59]. Increased N fertilization has also been associated with increased exudation of compounds including sugars and phenolics in other cereal crops [51,60] (Figure 1). Exudates present in the rice rhizosphere are utilized by soil microbes. Because exudation patterns vary with genotype, the composition of the rhizosphere microbiome may also vary with genotype. For example, Nitrosomonas spp. have been detected in greater abundance in the rhizosphere of modern rice when compared to traditional rice landraces [61] (Figure 1). Nitrosomonas spp. are nitrifiers and facilitate N cycling. Modern rice also showed a greater concentration of oxygen on the root surface, which may in part explain the greater abundance of Nitrosomonas spp. [61]. In the rhizosphere of rice, there is often an abundance of Proteobacteria and Acidobacteria. However, the diversity of bacteria in the rhizosphere of wild, traditional, and modern cultivars of rice vary. Alpha diversity was found to be lowest in the rhizosphere of wild rice, moderate in the rhizosphere of traditional rice, and highest in the rhizosphere of modern rice [62]. In landraces developed prior to the GR, there was greater relative abundance of methanotrophs in the rhizosphere [62]. However, pre-GR varieties have higher methane (CH4) fluxes and emissions when compared to post-GR cultivars [63]. This genotypic variation in CH4 cycling may help explain the differing abundances of rhizosphere methanotrophs between traditional and modern rice.

3.3. Maize

The domestication of maize (Zea mays L.) from wild teosinte (Z. mays subsp. parviglumis) occurred 9000 years ago in Mexico [64]. There are many morphological differences in modern maize compared to teosinte. The principal distinctions between modern and wild maize are that modern maize has paired spikelets, is polystichous, has a non-disarticulating rachis, has soft glumes, and has reduced axillary branching [65]. Mutations in single genes can result in major morphological changes, and the teosinte glume architecture (tga1) gene in maize exemplifies a gene that can account for differences present in modern compared to wild maize [66]. The tga1 gene regulates whether maize kernels are hardened or naked and may also be involved in glume lignification [66]. The phenotypic changes brought about by this gene and other genes allowed for the commercial production of maize on a global scale. Since adoption of hybrid maize varieties in the 1930s, yields have dramatically increased [67]. Initially, there was low adoption of high-performing varieties of hybrid maize by small farmers, but high yielding varieties were ultimately developed and disseminated [67,68]. The efforts by this foundation to establish high-yielding germplasm coincided with the onset of the GR [68]. In the latter half of the 20th century, maize production doubled in Asia because of adoption of both improved varieties and greater fertilizer inputs [69].
During the post-GR period, overarching maize breeding goals included reducing the vegetation period and increasing grain yield [70]. However, because of selection for varieties with high quality aboveground traits, belowground traits have also been influenced. Cytokinin dehydrogenase (CKX) exemplifies this change. The ZmCKX5 gene, a member of the cytokinin gene family, was found to be expressed greater in inbred lines when compared to teosintes and landraces [71,72]. This gene is positively associated with root length and total root area [72], which impacts the soil microbiome (Figure 2). Root architectural changes impact root exudates and cause formation of microhabitats in the rhizosphere [56]. These microhabitats establish different ecological niches that allow diverse microbial species to grow in the rhizosphere [56]. Thus, the rhizosphere microbiome of maize has changed over time [25]. A principal coordinate analysis (PCoA) showed microbiome composition of older maize varieties to be more tightly clustered together than modern varieties, indicating that the microbiome of older varieties have a greater degree of relatedness than modern varieties [25].
In addition to maize breeding goals since the GR, N fertilization rates have also changed. Inorganic N fertilizer rates have increased steadily since the early 1940s [73], a pattern that may have impacted soil health. Excess agrochemicals have been shown to deteriorate soil physical, chemical, and biological properties [74]. Beneficial members of Pseudomonas and Bacillus, for example, were shown to stimulate plant growth and promote nutrient uptake of maize in nutrient deficient soils [75]. Further, under conditions of high and continuous N fertilization, the mutualism with N-fixing diazotrophs became less efficient [25] (Figure 2). These diazotrophs express the nitrogenase nifH gene which catalyzes N fixation, and the abundance of this gene in the maize rhizosphere microbiome has decreased with time from 1949–1985 [25]. Thus, reliance on inorganic N fertilization may have weakened the ability of maize to recruit beneficial N-fixing diazotrophs.

3.4. Sorghum

After being initially domesticated in Africa, sorghum [Sorghum bicolor (L.) Moench] underwent major improvements for traits such as reduced shattering and increased grain width [76]. Further improvements were made during the GR. Similar to other cereal crops, semi-dwarfism was a significant breeding goal for sorghum during the GR [77], and development of semi-dwarf cultivars resulted in increased yield [78,79]. Since the 1950s, introgression of genes and development of methods to control plant height have been used in sorghum production [80]. The dwf-1 dwarfing gene in sorghum has been mapped to a frameshift in GA20ox and reduction of GA [81,82]. Suppression of GA20ox reduced shoot growth, but because of the lower expression of GA receptors in roots, it had less impact on root growth [83] (Figure 3). This differing impact on root growth led to an increase in root-to-shoot ratio, a trait that has been shown to be beneficial to growth in conditions with drought or nutrient deficiency [83,84].
Although the development and release of N-efficient, high-yielding sorghum was widely adopted in sorghum-growing regions, the practice of applying high rates of inorganic fertilizer was not [90]. Sorghum fertilizer application has been below recommended rates both before and after the GR, but during the 1990s, micro-dose fertilization was developed. This fertilization practice allowed for growers to apply small amounts of N fertilizer at little cost and highly promoted sorghum production [91]. High rates of chemical fertilization have been shown to decrease the diversity of soil bacteria and fungi [92], and because micro-dosing fertilization avoids high rates of chemical fertilizer [91], the diversity of soils in sorghum-growing regions may be less affected by fertilizer than other GR-impacted cereal crops. However, because these effects on the soil microbiome and plant yield are a result of micro-dosing fertilization practices, they cannot be linked to the GR.
While soil microbial impacts cannot be directly linked to the GR, there have been experimental studies conducted on the differential effects of N fertilization on N-fixing bacterial assembly in the sorghum rhizosphere. The rate of N fertilization has been shown to be a predictor of the structure of N-fixing communities [93]. At higher rates of N fertilization, microbial expression of nifH was found to reduce in the rhizosphere when compared to low rates of fertilizer [94]. The nifH gene encodes the nitrogenase reductase subunit, the enzyme responsible for N fixation, and is therefore used as a marker gene for identification of N-fixing bacteria [95]. Similarly, when sorghum was amended with manure instead of urea, N-fixing populations were higher [96]. Although the effect of fertilization on sorghum soil microbiology is not linked to the GR, the trend of N-fixing microbial community growth being inversely related to N fertilization is comparable to other cereal crops.

3.5. Barley

Unlike other cereal crops, barley (Hordeum vulgare L.) is morphologically similar to the wild progenitor, H. spontaneum C. Koch [97]. Barley domestication occurred 8000 BCE, and traits such as a non-brittle rachis and naked caryopsis were selected [98,99]. Further improvements were made during the GR in which photoperiod insensitivity and semi-dwarfism were emphasized. The Ppd-H1 gene in barley is homologous to the wheat photoperiod insensitivity gene PPD1 [100]. Development of this trait was important because it allowed barley to be cultivated in different altitudes while producing acceptable agronomic output [101]. Further, introduction of the semi-dwarfing gene, sdw1, led to greater barley production, especially for feed barley. The sdw1 gene is an ortholog of the sd1 gene in rice. Barley sdw1 mutants have a loss-of-function of GA20ox, and would therefore result in reduced shoot lengtH (Figure 3). This gene results in higher yield, better lodging resistance, and more efficient N use from the environment [89,101].
Semi-dwarf barley has larger root system sizes than taller varieties of barley [102]. This change in root phenotype may impact the root and rhizosphere microbiome. Perez-Jaramillo et al. [59], for instance, identified that Bacteroidetes members were in greater abundance in roots with greater specific length than plants with smaller roots. Further, Albertyn et al. [103] found that the rhizosphere microbiome of wild barley compared to modern varieties of barley harbored more microbial community diversity. They found large communities of Proteobacteria that are associated with N fixation. Similarly, modern and traditional barley have been found to vary in their rhizosphere microbiome community composition. Modern varieties of barley have a higher abundance of Actinobacteria than in landraces, and Rhizobiaceae and Oxalobactereceae have been found in higher abundance in the rhizosphere of modern varieties [104].

4. Conclusions

The GR brought about changes in agronomic outputs of staple crops including wheat, rice, maize, sorghum, and barley. Because of both introgression of genes from wild germplasm and selection of beneficial aboveground traits, post-GR revolution cultivars have healthy root systems that can establish high diversity of rhizosphere microbes [56,62]. The GR increased food production because of development of high-yielding cultivars and efficient farming technologies, and high fertilization regimes [1].
Although the GR resulted in high-yielding varieties, it also necessitated greater fertilizer use. Excessive use of inorganic chemical fertilizers disrupts soil health and reduces the efficiency of natural symbiosis with N-fixing diazotrophs and P-solubilizing microbes [24,25,74]. Further, mineral reserves of fertilizer resources, especially P, are finite and have an unequal global geographic distribution that have led, in part, to high fertilizer prices [105,106]. Thus, there is still a need to enhance nutrient use efficiency in agroecosystems. Strategies that emphasize enhancing soil health while reducing reliance of inorganic fertilizers may be beneficial. Use of organic amendments, such as biochar and manure, reduce N loss from soil while also increasing soil microbial biomass pools [107,108]. Therefore, incorporating use of these organic amendments may help growers optimize the benefits of the high yielding GR varieties while ameliorating some of the negative effects of high inorganic fertilizer applications. Finally, developing new varieties with enhanced abilities to promote beneficial microbial symbiosis in the rhizosphere will further enhance these sustainability goals.

Author Contributions

Conceptualization, M.D., C.R. and J.V.; writing —original draft preparation, M.D., C.R. and A.A.; writing—review and editing, M.D. and J.V.; visualization, M.D.; supervision, J.V. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors thank Derek Newberger for his valuable input that enhanced the quality of this manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. John, D.A.; Babu, G.R. Lessons from the aftermaths of green revolution on food system and health. Front. Sustain. Food Syst. 2021, 5, 644559. [Google Scholar] [CrossRef] [PubMed]
  2. Eliazer Nelson, A.R.L.; Ravichandran, K.; Antony, U. The impact of the Green Revolution on indigenous crops of India. J. Ethn. Foods 2019, 6, 8. [Google Scholar] [CrossRef] [Green Version]
  3. Gollin, D.; Morris, M.; Byerlee, D. Technology adoption in intensive post-green revolution systems. Am. J. Agric. Econ. 2005, 87, 1310–1316. [Google Scholar] [CrossRef]
  4. Wu, K.; Ali, I.; Xie, H.; Ullah, S.; Iqbal, A.; Wei, S.; He, L.; Huang, Q.; Wu, X.; Cheng, F. Impact of fertilization with reducing in nitrogen and phosphorous application on growth, yield and biomass accumulation of rice (Oryza sativa L.) under a dual cropping system. PeerJ 2021, 9, e11668. [Google Scholar] [CrossRef] [PubMed]
  5. Li, S.; Tian, Y.; Wu, K.; Ye, Y.; Yu, J.; Zhang, J.; Liu, Q.; Hu, M.; Li, H.; Tong, Y. Modulating plant growth–metabolism coordination for sustainable agriculture. Nature 2018, 560, 595–600. [Google Scholar] [CrossRef] [PubMed]
  6. Spielmeyer, W.; Ellis, M.H.; Chandler, P.M. Semidwarf (sd-1), “green revolution” rice, contains a defective gibberellin 20-oxidase gene. Proc. Natl. Acad. Sci. USA 2002, 99, 9043–9048. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Asano, K.; Takashi, T.; Miura, K.; Qian, Q.; Kitano, H.; Matsuoka, M.; Ashikari, M. Genetic and molecular analysis of utility of sd1 alleles in rice breeding. Breed. Sci. 2007, 57, 53–58. [Google Scholar] [CrossRef] [Green Version]
  8. Chen, Q.; Li, W.; Tan, L.; Tian, F. Harnessing knowledge from maize and rice domestication for new crop breeding. Mol. Plant 2021, 14, 9–26. [Google Scholar] [CrossRef]
  9. Flintham, J.; Börner, A.; Worland, A.; Gale, M. Optimizing wheat grain yield: Effects of Rht (gibberellin-insensitive) dwarfing genes. J. Agric. Sci. 1997, 128, 11–25. [Google Scholar] [CrossRef]
  10. Wang, Y.; Yao, Q.; Zhang, Y.; Zhang, Y.; Xing, J.; Yang, B.; Mi, G.; Li, Z.; Zhang, M. The role of gibberellins in regulation of nitrogen uptake and physiological traits in maize responding to nitrogen availability. Int. J. Mol. Sci. 2020, 21, 1824. [Google Scholar] [CrossRef]
  11. Hidayat, R.A.; Iskandar, J.; Gunawan, B.; Partasasmita, R. Impact of green revolution on rice cultivation practices and production system: A case study in Sindang Hamlet, Rancakalong Village, Sumedang District, West Java, Indonesia. Biodiversitas J. Biol. Divers. 2020, 21, 3. [Google Scholar]
  12. Tedengren, M. Eutrophication and the Disrupted Nitrogen Cycle; Springer: Berlin/Heidelberg, Germany, 2021; Volume 50, pp. 733–738. [Google Scholar]
  13. Bharti, C.; Mohapatra, A.; Maurya, R.; Maharana, C.; Maurya, A.; Malakar, P. Nitrate pollution with modernization of Indian agriculture. J. Pharmacogn. Phytochem. 2020, 9, 2073–2080. [Google Scholar]
  14. Medina, M.; Kaplan, D.; Milbrandt, E.C.; Tomasko, D.; Huffaker, R.; Angelini, C. Nitrogen-enriched discharges from a highly managed watershed intensify red tide (Karenia brevis) blooms in southwest Florida. Sci. Total Environ. 2022, 827, 154149. [Google Scholar] [CrossRef] [PubMed]
  15. Yadav, S.K.; Soni, R.; Rajput, A.S. Role of microbes in organic farming for sustainable agro-ecosystem. In Microorganisms for Green Revolution; Springer: Berlin/Heidelberg, Germany, 2018; pp. 241–252. [Google Scholar]
  16. Bahulikar, R.A.; Chaluvadi, S.R.; Torres-Jerez, I.; Mosali, J.; Bennetzen, J.L.; Udvardi, M. Nitrogen fertilization reduces nitrogen fixation activity of diverse diazotrophs in switchgrass roots. Phytobiomes J. 2021, 5, 80–87. [Google Scholar] [CrossRef] [Green Version]
  17. Tian, J.; Lu, X.; Chen, Q.; Kuang, X.; Liang, C.; Deng, L.; Lin, D.; Cai, K.; Tian, J. Phosphorus fertilization affects soybean rhizosphere phosphorus dynamics and the bacterial community in karst soils. Plant Soil 2022, 475, 137–152. [Google Scholar] [CrossRef]
  18. Mohanram, S.; Kumar, P. Rhizosphere microbiome: Revisiting the synergy of plant-microbe interactions. Ann. Microbiol. 2019, 69, 307–320. [Google Scholar] [CrossRef]
  19. Pantigoso, H.A.; He, Y.; Manter, D.K.; Fonte, S.J.; Vivanco, J.M. Phosphorus-solubilizing bacteria isolated from the rhizosphere of wild potato Solanum bulbocastanum enhance growth of modern potato varieties. Bull. Natl. Res. Cent. 2022, 46, 224. [Google Scholar] [CrossRef]
  20. Sarkar, D.; Sankar, A.; Devika, O.S.; Singh, S.; Parihar, M.; Rakshit, A.; Sayyed, R.; Gafur, A.; Ansari, M.J.; Danish, S. Optimizing nutrient use efficiency, productivity, energetics, and economics of red cabbage following mineral fertilization and biopriming with compatible rhizosphere microbes. Sci. Rep. 2021, 11, 15680. [Google Scholar] [CrossRef]
  21. Lindström, K.; Mousavi, S.A. Effectiveness of nitrogen fixation in rhizobia. Microb. Biotechnol. 2020, 13, 1314–1335. [Google Scholar] [CrossRef] [Green Version]
  22. Roy-Bolduc, A.; Hijri, M. The use of mycorrhizae to enhance phosphorus uptake: A way out the phosphorus crisis. J. Biofertil. Biopestici. 2011, 2, 104. [Google Scholar]
  23. Guerrero-Galán, C.; Delteil, A.; Garcia, K.; Houdinet, G.; Conéjéro, G.; Gaillard, I.; Sentenac, H.; Zimmermann, S.D. Plant potassium nutrition in ectomycorrhizal symbiosis: Properties and roles of the three fungal TOK potassium channels in Hebeloma cylindrosporum. Environ. Microbiol. 2018, 20, 1873–1887. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Porter, S.S.; Sachs, J.L. Agriculture and the disruption of plant–microbial symbiosis. Trends Ecol. Evol. 2020, 35, 426–439. [Google Scholar] [CrossRef] [PubMed]
  25. Favela, A.; Bohn, O.M.; Kent, D.A. Maize germplasm chronosequence shows crop breeding history impacts recruitment of the rhizosphere microbiome. ISME J. 2021, 15, 2454–2464. [Google Scholar] [CrossRef] [PubMed]
  26. Kavamura, V.N.; Robinson, R.J.; Hughes, D.; Clark, I.; Rossmann, M.; Melo, I.S.D.; Hirsch, P.R.; Mendes, R.; Mauchline, T.H. Wheat dwarfing influences selection of the rhizosphere microbiome. Sci. Rep. 2020, 10, 1452. [Google Scholar] [CrossRef] [Green Version]
  27. Smulders, L.; Benítez, E.; Moreno, B.; López-García, Á.; Pozo, M.J.; Ferrero, V.; de la Peña, E.; Alcalá Herrera, R. Tomato domestication affects potential functional molecular pathways of root-associated soil bacteria. Plants 2021, 10, 1942. [Google Scholar] [CrossRef]
  28. Pérez-Jaramillo, J.E.; Mendes, R.; Raaijmakers, J.M. Impact of plant domestication on rhizosphere microbiome assembly and functions. Plant Mol. Biol. 2016, 90, 635–644. [Google Scholar] [CrossRef] [Green Version]
  29. Waines, J.G.; Ehdaie, B. Domestication and crop physiology: Roots of green-revolution wheat. Ann. Bot. 2007, 100, 991–998. [Google Scholar] [CrossRef] [Green Version]
  30. Hallama, M.; Pekrun, C.; Lambers, H.; Kandeler, E. Hidden miners–the roles of cover crops and soil microorganisms in phosphorus cycling through agroecosystems. Plant Soil 2019, 434, 7–45. [Google Scholar] [CrossRef] [Green Version]
  31. Prasad, M.; Chaudhary, M.; Choudhary, M.; Kumar, T.K.; Jat, L.K. Rhizosphere microorganisms towards soil sustainability and nutrient acquisition. In Agriculturally Important Microbes for Sustainable Agriculture; Springer: Berlin/Heidelberg, Germany, 2017; pp. 31–49. [Google Scholar]
  32. Sun, H.; Jiang, S.; Jiang, C.; Wu, C.; Gao, M.; Wang, Q. A review of root exudates and rhizosphere microbiome for crop production. Environ. Sci. Pollut. Res. 2021, 28, 54497–54510. [Google Scholar] [CrossRef]
  33. Xiong, J.; Lu, J.; Li, X.; Qiu, Q.; Chen, J.; Yan, C. Effect of rice (Oryza sativa L.) genotype on yield: Evidence from recruiting spatially consistent rhizosphere microbiome. Soil Biol. Biochem. 2021, 161, 108395. [Google Scholar] [CrossRef]
  34. Moreau, D.; Bardgett, R.D.; Finlay, R.D.; Jones, D.L.; Philippot, L. A plant perspective on nitrogen cycling in the rhizosphere. Funct. Ecol. 2019, 33, 540–552. [Google Scholar] [CrossRef] [Green Version]
  35. Sattar, A.; Naveed, M.; Ali, M.; Zahir, Z.A.; Nadeem, S.M.; Yaseen, M.; Meena, V.S.; Farooq, M.; Singh, R.; Rahman, M. Perspectives of potassium solubilizing microbes in sustainable food production system: A review. Appl. Soil Ecol. 2019, 133, 146–159. [Google Scholar] [CrossRef]
  36. Charmet, G. Wheat domestication: Lessons for the future. Comptes Rendus Biol. 2011, 334, 212–220. [Google Scholar] [CrossRef]
  37. Mondal, S.; Dutta, S.; Crespo-Herrera, L.; Huerta-Espino, J.; Braun, H.J.; Singh, R.P. Fifty years of semi-dwarf spring wheat breeding at CIMMYT: Grain yield progress in optimum, drought and heat stress environments. Field Crops Res. 2020, 250, 107757. [Google Scholar] [CrossRef]
  38. Wu, Y.; Liu, J.; Hu, G.; Xue, H.; Xu, H.; Zhao, C.; Qin, R.; Cui, F.; Sun, H. Functional analysis of the “Green Revolution” gene Photoperiod-1 and its selection trends during bread wheat breeding. Front. Plant Sci. 2021, 12, 745411. [Google Scholar] [CrossRef] [PubMed]
  39. Iannucci, A.; Fragasso, M.; Beleggia, R.; Nigro, F.; Papa, R. Evolution of the crop rhizosphere: Impact of domestication on root exudates in tetraploid wheat (Triticum turgidum L.). Front. Plant Sci. 2017, 8, 2124. [Google Scholar] [CrossRef] [Green Version]
  40. Nunes da Rocha, U.; Plugge, C.M.; George, I.; Van Elsas, J.D.; Van Overbeek, L.S. The rhizosphere selects for particular groups of Acidobacteria and Verrucomicrobia. PLoS ONE 2013, 8, e82443. [Google Scholar] [CrossRef]
  41. Wang, M.; Sun, H.; Xu, L.; Xu, Z. Bacterial diversity in tea plant (Camellia sinensis) rhizosphere soil from Qinling Mountains and its relationship with environmental elements. Plant Soil 2021, 460, 403–415. [Google Scholar] [CrossRef]
  42. Roucou, A.; Violle, C.; Fort, F.; Roumet, P.; Ecarnot, M.; Vile, D. Shifts in plant functional strategies over the course of wheat domestication. J. Appl. Ecol. 2018, 55, 25–37. [Google Scholar] [CrossRef] [Green Version]
  43. Yang, C.; Zhang, X.; Ni, H.; Gai, X.; Huang, Z.; Du, X.; Zhong, Z. Soil carbon and associated bacterial community shifts driven by fine root traits along a chronosequence of Moso bamboo (Phyllostachys edulis) plantations in subtropical China. Sci. Total Environ. 2021, 752, 142333. [Google Scholar] [CrossRef]
  44. Pervaiz, Z.H.; Contreras, J.; Hupp, B.M.; Lindenberger, J.H.; Chen, D.; Zhang, Q.; Wang, C.; Twigg, P.; Saleem, M. Root microbiome changes with root branching order and root chemistry in peach rhizosphere soil. Rhizosphere 2020, 16, 100249. [Google Scholar] [CrossRef]
  45. Li, P.; Chen, J.; Wu, P.; Zhang, J.; Chu, C.; See, D.; Brown-Guedira, G.; Zemetra, R.; Souza, E. Quantitative trait loci analysis for the effect of Rht-B1 dwarfing gene on coleoptile length and seedling root length and number of bread wheat. Crop Sci. 2011, 51, 2561–2568. [Google Scholar] [CrossRef]
  46. McGrail, R.K.; McNear Jr, D.H. Two centuries of breeding has altered root system architecture of winter wheat. Rhizosphere 2021, 19, 100411. [Google Scholar] [CrossRef]
  47. Nakhforoosh, A.; Nagel, K.A.; Fiorani, F.; Bodner, G. Deep soil exploration vs. topsoil exploitation: Distinctive rooting strategies between wheat landraces and wild relatives. Plant Soil 2021, 459, 397–421. [Google Scholar] [CrossRef] [PubMed]
  48. Kavamura, V.N.; Hayat, R.; Clark, I.M.; Rossmann, M.; Mendes, R.; Hirsch, P.R.; Mauchline, T.H. Inorganic nitrogen application affects both taxonomical and predicted functional structure of wheat rhizosphere bacterial communities. Front. Microbiol. 2018, 9, 1074. [Google Scholar] [CrossRef] [Green Version]
  49. Fierer, N.; Wood, S.A.; de Mesquita, C.P.B. How microbes can, and cannot, be used to assess soil health. Soil Biol. Biochem. 2021, 153, 108111. [Google Scholar] [CrossRef]
  50. Kavamura, V.N.; Mendes, R.; Bargaz, A.; Mauchline, T.H. Defining the wheat microbiome: Towards microbiome-facilitated crop production. Comput. Struct. Biotechnol. J. 2021, 19, 1200–1213. [Google Scholar] [CrossRef]
  51. Chen, S.; Waghmode, T.R.; Sun, R.; Kuramae, E.E.; Hu, C.; Liu, B. Root-associated microbiomes of wheat under the combined effect of plant development and nitrogen fertilization. Microbiome 2019, 7, 136. [Google Scholar] [CrossRef] [Green Version]
  52. Muthayya, S.; Sugimoto, J.D.; Montgomery, S.; Maberly, G.F. An overview of global rice production, supply, trade, and consumption. Ann. N. Y. Acad. Sci. 2014, 1324, 7–14. [Google Scholar] [CrossRef]
  53. Chen, E.; Huang, X.; Tian, Z.; Wing, R.A.; Han, B. The genomics of Oryza species provides insights into rice domestication and heterosis. Annu. Rev. Plant Biol. 2019, 70, 639–665. [Google Scholar] [CrossRef]
  54. Peng, Y.; Hu, Y.; Qian, Q.; Ren, D. Progress and prospect of breeding utilization of Green Revolution gene SD 1 in rice. Agriculture 2021, 11, 611. [Google Scholar] [CrossRef]
  55. Lo, S.-F.; Yang, S.-Y.; Chen, K.-T.; Hsing, Y.-I.; Zeevaart, J.A.; Chen, L.-J.; Yu, S.-M. A novel class of gibberellin 2-oxidases control semidwarfism, tillering, and root development in rice. Plant Cell 2008, 20, 2603–2618. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Saleem, M.; Law, A.D.; Sahib, M.R.; Pervaiz, Z.H.; Zhang, Q. Impact of root system architecture on rhizosphere and root microbiome. Rhizosphere 2018, 6, 47–51. [Google Scholar] [CrossRef]
  57. Beltran-Garcia, M.J.; Martínez-Rodríguez, A.; Olmos-Arriaga, I.; Valdes-Salas, B.; Di Mascio, P.; White, J.F. Nitrogen fertilization and stress factors drive shifts in microbial diversity in soils and plants. Symbiosis 2021, 84, 379–390. [Google Scholar] [CrossRef]
  58. Xiong, Q.; Hu, J.; Wei, H.; Zhang, H.; Zhu, J. Relationship between plant roots, rhizosphere microorganisms, and nitrogen and its special focus on rice. Agriculture 2021, 11, 234. [Google Scholar] [CrossRef]
  59. Pérez-Jaramillo, J.E.; Carrión, V.J.; Bosse, M.; Ferrão, L.F.; De Hollander, M.; Garcia, A.A.; Ramírez, C.A.; Mendes, R.; Raaijmakers, J.M. Linking rhizosphere microbiome composition of wild and domesticated Phaseolus vulgaris to genotypic and root phenotypic traits. ISME J. 2017, 11, 2244–2257. [Google Scholar] [CrossRef] [Green Version]
  60. Zhu, S.; Vivanco, J.M.; Manter, D.K. Nitrogen fertilizer rate affects root exudation, the rhizosphere microbiome and nitrogen-use-efficiency of maize. Appl. Soil Ecol. 2016, 107, 324–333. [Google Scholar] [CrossRef] [Green Version]
  61. Briones, A.M.; Okabe, S.; Umemiya, Y.; Ramsing, N.-B.; Reichardt, W.; Okuyama, H. Influence of different cultivars on populations of ammonia-oxidizing bacteria in the root environment of rice. Appl. Environ. Microbiol. 2002, 68, 3067–3075. [Google Scholar] [CrossRef] [Green Version]
  62. Shenton, M.; Iwamoto, C.; Kurata, N.; Ikeo, K. Effect of wild and cultivated rice genotypes on rhizosphere bacterial community composition. Rice 2016, 9, 42. [Google Scholar] [CrossRef] [Green Version]
  63. Baruah, K.; Gogoi, B.; Gogoi, P. Plant physiological and soil characteristics associated with methane and nitrous oxide emission from rice paddy. Physiol. Mol. Biol. Plants 2010, 16, 79–91. [Google Scholar] [CrossRef] [Green Version]
  64. Warburton, M.L.; Wilkes, G.; Taba, S.; Charcosset, A.; Mir, C.; Dumas, F.; Madur, D.; Dreisigacker, S.; Bedoya, C.; Prasanna, B. Gene flow among different teosinte taxa and into the domesticated maize gene pool. Genet. Resour. Crop Evol. 2011, 58, 1243–1261. [Google Scholar] [CrossRef]
  65. Stitzer, M.C.; Ross-Ibarra, J. Maize domestication and gene interaction. New Phytol. 2018, 220, 395–408. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Wang, H.; Nussbaum-Wagler, T.; Li, B.; Zhao, Q.; Vigouroux, Y.; Faller, M.; Bomblies, K.; Lukens, L.; Doebley, J.F. The origin of the naked grains of maize. Nature 2005, 436, 714–719. [Google Scholar] [CrossRef] [PubMed]
  67. Byerlee, D. The globalization of hybrid maize, 1921–70. J. Glob. Hist. 2020, 15, 101–122. [Google Scholar] [CrossRef]
  68. Curry, H.A. From working collections to the World Germplasm Project: Agricultural modernization and genetic conservation at the Rockefeller Foundation. Hist. Philos. Life Sci. 2017, 39, 5. [Google Scholar] [CrossRef] [Green Version]
  69. Grote, U.; Fasse, A.; Nguyen, T.T.; Erenstein, O. Food security and the dynamics of wheat and maize value chains in Africa and Asia. Front. Sustain. Food Syst. 2021, 4, 617009. [Google Scholar] [CrossRef]
  70. Vulchinkov, S.; Ilchovska, D.; Pavlovska, B.; Ivanova, K. Trends in productive abilities of maize hybrids from different FAO groups. Bulg. J. Agric. Sci. 2013, 19, 744–749. [Google Scholar]
  71. Gu, R.; Fu, J.; Guo, S.; Duan, F.; Wang, Z.; Mi, G.; Yuan, L. Comparative expression and phylogenetic analysis of maize cytokinin dehydrogenase/oxidase (CKX) gene family. J. Plant Growth Regul. 2010, 29, 428–440. [Google Scholar] [CrossRef]
  72. Wang, H.; Sun, H.; Xia, H.; Wu, T.; Li, P.; Xu, C.; Yang, Z. Natural variation and domestication selection of ZmCKX5 with root morphological traits at the seedling stage in maize. Plants 2020, 10, 1. [Google Scholar] [CrossRef]
  73. Cao, P.; Lu, C.; Yu, Z. Historical nitrogen fertilizer use in agricultural ecosystems of the contiguous United States during 1850–2015: Application rate, timing, and fertilizer types. Earth Syst. Sci. Data 2018, 10, 969–984. [Google Scholar] [CrossRef] [Green Version]
  74. Vyas, R.V.; Panpatte, D.G.; Jhala, Y.K.; Shelat, H.N. Wonders of microbes in agriculture for productivity and sustainability. In Microorganisms for Green Revolution; Springer: Berlin/Heidelberg, Germany, 2017; pp. 1–23. [Google Scholar]
  75. Egamberdiyeva, D. The effect of plant growth promoting bacteria on growth and nutrient uptake of maize in two different soils. Appl. Soil Ecol. 2007, 36, 184–189. [Google Scholar] [CrossRef]
  76. Fuller, D.Q.; Stevens, C.J. Sorghum domestication and diversification: A current archaeobotanical perspective. In Plants and People in the African Past; Springer: Berlin/Heidelberg, Germany, 2018; pp. 427–452. [Google Scholar]
  77. Chen, J.; Xin, Z.; Laza, H. Registration of BTx623dw5, a new sorghum dwarf mutant. J. Plant Regist. 2019, 13, 254–257. [Google Scholar]
  78. Hedden, P. The genes of the Green Revolution. TRENDS Genet. 2003, 19, 5–9. [Google Scholar] [CrossRef] [PubMed]
  79. Bollam, S.; Romana, K.K.; Rayaprolu, L.; Vemula, A.; Das, R.R.; Rathore, A.; Gandham, P.; Chander, G.; Deshpande, S.P.; Gupta, R. Nitrogen use efficiency in Sorghum: Exploring native variability for traits under variable N-Regimes. Front. Plant Sci. 2021, 12, 643192. [Google Scholar] [CrossRef]
  80. Multani, D.S.; Briggs, S.P.; Chamberlin, M.A.; Blakeslee, J.J.; Murphy, A.S.; Johal, G.S. Loss of an MDR transporter in compact stalks of maize br2 and sorghum dw3 mutants. Science 2003, 302, 81–84. [Google Scholar] [CrossRef]
  81. Ordonio, R.L.; Ito, Y.; Hatakeyama, A.; Ohmae-Shinohara, K.; Kasuga, S.; Tokunaga, T.; Mizuno, H.; Kitano, H.; Matsuoka, M.; Sazuka, T. Gibberellin deficiency pleiotropically induces culm bending in sorghum: An insight into sorghum semi-dwarf breeding. Sci. Rep. 2014, 4, 5287. [Google Scholar] [CrossRef] [Green Version]
  82. Petti, C.; Hirano, K.; Stork, J.; DeBolt, S. Mapping of a cellulose-deficient mutant named dwarf1–1 in Sorghum bicolor to the green revolution gene gibberellin20-oxidase reveals a positive regulatory association between gibberellin and cellulose biosynthesis. Plant Physiol. 2015, 169, 705–716. [Google Scholar] [CrossRef] [Green Version]
  83. Ramon, U.; Weiss, D.; Illouz-Eliaz, N. Underground gibberellin activity: Differential gibberellin response in tomato shoots and roots. bioRxiv 2020. [Google Scholar] [CrossRef]
  84. Lloret, F.; Casanovas, C.; Penuelas, J. Seedling survival of Mediterranean shrubland species in relation to root: Shoot ratio, seed size and water and nitrogen use. Funct. Ecol. 1999, 13, 210–216. [Google Scholar] [CrossRef] [Green Version]
  85. Niu, Y.; Chen, T.; Zhao, C.; Zhou, M. Improving Crop Lodging Resistance by Adjusting Plant Height and Stem Strength. Agronomy 2021, 11, 2421. [Google Scholar] [CrossRef]
  86. Binenbaum, J.; Weinstain, R.; Shani, E. Gibberellin localization and transport in plants. Trends Plant Sci. 2018, 23, 410–421. [Google Scholar] [CrossRef] [Green Version]
  87. Igielski, R.; Kępczyńska, E. Gene expression and metabolite profiling of gibberellin biosynthesis during induction of somatic embryogenesis in Medicago truncatula Gaertn. PLoS ONE 2017, 12, e0182055. [Google Scholar] [CrossRef] [Green Version]
  88. Nakayama, A.; Nakajima, M.; Yamaguchi, I. Distribution of gibberellins and expressional analysis of GA 20-oxidase genes of morning glory during fruit maturation. Biosci. Biotechnol. Biochem. 2005, 69, 334–342. [Google Scholar] [CrossRef] [Green Version]
  89. Zhang, J.; Yang, X.; Moolhuijzen, P.; Li, C.; Bellgard, M.; Lance, R.; Appels, R. Towards isolation of the barley green revolution gene. In Proceedings of the 12th Australian Barley Technical Symposium, Hobart, Tasmania, 11–14 September 2005. [Google Scholar]
  90. Alumira, J.; Rusike, J. The green revolution in Zimbabwe. Ejade Electron. J. Agric. Dev. Econ. 2005, 2, 50–66. [Google Scholar]
  91. Ouedraogo, Y.; Taonda, J.B.S.; Sermé, I.; Tychon, B.; Bielders, C.L. Factors driving cereal response to fertilizer microdosing in sub-Saharan Africa: A meta-analysis. Agron. J. 2020, 112, 2418–2431. [Google Scholar] [CrossRef]
  92. Cai, F.; Pang, G.; Li, R.-X.; Li, R.; Gu, X.-L.; Shen, Q.-R.; Chen, W. Bioorganic fertilizer maintains a more stable soil microbiome than chemical fertilizer for monocropping. Biol. Fertil. Soils 2017, 53, 861–872. [Google Scholar] [CrossRef]
  93. Rosenblueth, M.; Ormeño-Orrillo, E.; López-López, A.; Rogel, M.A.; Reyes-Hernández, B.J.; Martínez-Romero, J.C.; Reddy, P.M.; Martínez-Romero, E. Nitrogen fixation in cereals. Front. Microbiol. 2018, 9, 1794. [Google Scholar] [CrossRef] [Green Version]
  94. Coelho, M.R.; Marriel, I.E.; Jenkins, S.N.; Lanyon, C.V.; Seldin, L.; O’Donnell, A.G. Molecular detection and quantification of nifH gene sequences in the rhizosphere of sorghum (Sorghum bicolor) sown with two levels of nitrogen fertilizer. Appl. Soil Ecol. 2009, 42, 48–53. [Google Scholar] [CrossRef] [Green Version]
  95. Gaby, J.C.; Buckley, D.H. A comprehensive evaluation of PCR primers to amplify the nifH gene of nitrogenase. PLoS ONE 2012, 7, e42149. [Google Scholar] [CrossRef] [Green Version]
  96. Borrell, A.; van Oosterom, E.; George-Jaeggli, B.; Rodriguez, D.; Eyre, J.; Jordan, D.J.; Mace, E.; Singh, V.; Vadez, V.; Bell, M. Sorghum. In Crop Physiology Case Histories for Major Crops; Elsevier: Amsterdam, The Netherlands, 2021; pp. 196–221. [Google Scholar]
  97. Haas, M.; Schreiber, M.; Mascher, M. Domestication and crop evolution of wheat and barley: Genes, genomics, and future directions. J. Integr. Plant Biol. 2019, 61, 204–225. [Google Scholar] [CrossRef] [Green Version]
  98. Badr, A.; Rabey, H.E.; Effgen, S.; Ibrahim, H.; Pozzi, C.; Rohde, W.; Salamini, F. On the origin and domestication history of barley (Hordeum vulgare). Mol. Biol. Evol. 2000, 17, 499–510. [Google Scholar] [CrossRef] [Green Version]
  99. Wang, Y.; Ye, H.; Liu, L.; Wu, J.; Ru, W.; Sun, G. Molecular insights on the domestication of barley (Hordeum vulgare L.). Crit. Rev. Plant Sci. 2019, 38, 280–294. [Google Scholar] [CrossRef]
  100. Drosse, B.; Campoli, C.; Mulki, A.; Korff, M.V. Genetic control of reproductive development. Biotechnol. Approaches Barley Improv. 2014, 173, 81–99. [Google Scholar]
  101. Fernández-Calleja, M.; Casas, A.M.; Igartua, E. Major flowering time genes of barley: Allelic diversity, effects, and comparison with wheat. Theor. Appl. Genet. 2021, 134, 1867–1897. [Google Scholar] [CrossRef]
  102. Chloupek, O.; Forster, B.P.; Thomas, W.T. The effect of semi-dwarf genes on root system size in field-grown barley. Theor. Appl. Genet. 2006, 112, 779–786. [Google Scholar] [CrossRef]
  103. Robertson-Albertyn, S.; Alegria Terrazas, R.; Balbirnie, K.; Blank, M.; Janiak, A.; Szarejko, I.; Chmielewska, B.; Karcz, J.; Morris, J.; Hedley, P.E. Root hair mutations displace the barley rhizosphere microbiota. Front. Plant Sci. 2017, 8, 1094. [Google Scholar] [CrossRef] [Green Version]
  104. Bulgarelli, D.; Garrido-Oter, R.; Münch, P.C.; Weiman, A.; Dröge, J.; Pan, Y.; McHardy, A.C.; Schulze-Lefert, P. Structure and function of the bacterial root microbiota in wild and domesticated barley. Cell Host Microbe 2015, 17, 392–403. [Google Scholar] [CrossRef]
  105. Cordell, D.; White, S. Tracking phosphorus security: Indicators of phosphorus vulnerability in the global food system. Food Secur. 2015, 7, 337–350. [Google Scholar] [CrossRef]
  106. Nanda, M.; Kansal, A.; Cordell, D. Managing agricultural vulnerability to phosphorus scarcity through bottom-up assessment of regional-scale opportunities. Agric. Syst. 2020, 184, 102910. [Google Scholar] [CrossRef]
  107. Yadav, V.; Karak, T.; Singh, S.; Singh, A.K.; Khare, P. Benefits of biochar over other organic amendments: Responses for plant productivity (Pelargonium graveolens L.) and nitrogen and phosphorus losses. Ind. Crops Prod. 2019, 131, 96–105. [Google Scholar] [CrossRef]
  108. Luo, G.; Li, L.; Friman, V.-P.; Guo, J.; Guo, S.; Shen, Q.; Ling, N. Organic amendments increase crop yields by improving microbe-mediated soil functioning of agroecosystems: A meta-analysis. Soil Biol. Biochem. 2018, 124, 105–115. [Google Scholar] [CrossRef]
Figure 1. Differences in rice before and after the Green Revolution (GR). The left image represents rice developed before the GR and the right image rice developed after the GR. GR-era breeding and agricultural practices resulted in semi-dwarf cultivars (A), geater adventitious root growth (B), and greater root density (C). Introgression of the semi-dwarfing gene in GR era rice resulted in higher sugar exudation (D) and greater bacterial diversity (E) in the rhizosphere.
Figure 1. Differences in rice before and after the Green Revolution (GR). The left image represents rice developed before the GR and the right image rice developed after the GR. GR-era breeding and agricultural practices resulted in semi-dwarf cultivars (A), geater adventitious root growth (B), and greater root density (C). Introgression of the semi-dwarfing gene in GR era rice resulted in higher sugar exudation (D) and greater bacterial diversity (E) in the rhizosphere.
Applmicrobiol 02 00076 g001
Figure 2. Maize root architectural changes because of the Green Revolution (GR). The left panel represents maize roots before the GR and the right panel represents maize roots after the GR. Because of higher nitrogen fertilization rates during the GR, symbiosis with diazotrophs (represented by orange triangles) was less in modern when compared to traditional cultivars (A). Maize cultivars developed after the GR maize showcased a lower degree of relatedness (same-colored circles represent related bacterial communities) in rhizosphere bacterial communities (B) likely because of more microhabitats being formed from the greater root length of modern varieties (C).
Figure 2. Maize root architectural changes because of the Green Revolution (GR). The left panel represents maize roots before the GR and the right panel represents maize roots after the GR. Because of higher nitrogen fertilization rates during the GR, symbiosis with diazotrophs (represented by orange triangles) was less in modern when compared to traditional cultivars (A). Maize cultivars developed after the GR maize showcased a lower degree of relatedness (same-colored circles represent related bacterial communities) in rhizosphere bacterial communities (B) likely because of more microhabitats being formed from the greater root length of modern varieties (C).
Applmicrobiol 02 00076 g002
Figure 3. Effect of Green Revolution (GR) genes, dwf-1 and sdw-1 on gibberellin (GA) biosynthesis. The dwf-1 gene that was bred into modern sorghum suppresses GA20ox, an enzyme that is responsible for GA biosynthesis. Thus, modern sorghum varieties showcase reduced shoot growth and increased root-to-shoot ratios. Similarly, the sdw-1 gene that was bred into modern barley results in a loss-of-function of GA20ox. The resultant deficiency of GA in sorghum and barley results in the develop of semi-dwarf cultivars [55,81,85,86,87,88,89].
Figure 3. Effect of Green Revolution (GR) genes, dwf-1 and sdw-1 on gibberellin (GA) biosynthesis. The dwf-1 gene that was bred into modern sorghum suppresses GA20ox, an enzyme that is responsible for GA biosynthesis. Thus, modern sorghum varieties showcase reduced shoot growth and increased root-to-shoot ratios. Similarly, the sdw-1 gene that was bred into modern barley results in a loss-of-function of GA20ox. The resultant deficiency of GA in sorghum and barley results in the develop of semi-dwarf cultivars [55,81,85,86,87,88,89].
Applmicrobiol 02 00076 g003
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Dixon, M.; Rohrbaugh, C.; Afkairin, A.; Vivanco, J. Impacts of the Green Revolution on Rhizosphere Microbiology Related to Nutrient Acquisition. Appl. Microbiol. 2022, 2, 992-1003. https://doi.org/10.3390/applmicrobiol2040076

AMA Style

Dixon M, Rohrbaugh C, Afkairin A, Vivanco J. Impacts of the Green Revolution on Rhizosphere Microbiology Related to Nutrient Acquisition. Applied Microbiology. 2022; 2(4):992-1003. https://doi.org/10.3390/applmicrobiol2040076

Chicago/Turabian Style

Dixon, Mary, Carley Rohrbaugh, Antisar Afkairin, and Jorge Vivanco. 2022. "Impacts of the Green Revolution on Rhizosphere Microbiology Related to Nutrient Acquisition" Applied Microbiology 2, no. 4: 992-1003. https://doi.org/10.3390/applmicrobiol2040076

Article Metrics

Back to TopTop