Skip to main content

REVIEW article

Front. Plant Sci., 28 February 2022
Sec. Crop and Product Physiology

Enhancing Sorghum Yield Through Efficient Use of Nitrogen – Challenges and Opportunities

  • 1Department of Agronomy, Kansas State University, Manhattan, KS, United States
  • 2Center for Advanced Studies on Climate Change, Dr. Rajendra Prasad Central Agricultural University, Samastipur, India
  • 3Grain Quality and Structure Research Unit, CGAHR, USDA-ARS, Manhattan, KS, United States

Sorghum is an important crop, which is widely used as food, forage, fodder and biofuel. Despite its natural adaption to resource-poor and stressful environments, increasing yield potential of sorghum under more favorable conditions holds promise. Nitrogen is the most important nutrient for crops, having a dynamic impact on all growth, yield, and grain-quality-determining processes. Thus, increasing nitrogen use efficiency (NUE) in sorghum would provide opportunities to achieve higher yield and better-quality grain. NUE is a complex trait, which is regulated by several genes. Hence, exploring genetic diversity for NUE can help to develop molecular markers associated with NUE, which can be utilized to develop high NUE sorghum genotypes with greater yield potential. Research on improving NUE in sorghum suggests that, under water-deficit conditions, traits such as stay-green and altered canopy architecture, and under favorable conditions, traits such as an optimized stay-green and senescence ratio and efficient N translocation to grain, are potential breeding targets to develop high NUE sorghum genotypes. Hence, under a wide range of environments, sorghum breeding programs will need to reconsider strategies and develop breeding programs based on environment-specific trait(s) for better adaptation and improvement in productivity and grain quality. Unprecedented progress in sensor-based technology and artificial intelligence in high-throughput phenotyping has provided new horizons to explore complex traits in situ, such as NUE. A better understanding of the genetics and molecular pathways involving NUE, accompanied by targeted high-throughput sensor-based indices, is critical for identifying lines or developing management practices to enhance NUE in sorghum.

Introduction

Sorghum [Sorghum bicolor (L.) Moench, Poaceae] is an important C4 crop that is mainly utilized for human food, animal feed, forage, and fodder, but it is also an important source of fiber and feedstock for biofuel production (Bollam et al., 2021). Sorghum is grown worldwide and distributed across different continents including North America, Africa, Asia, and Australia (Kimber, 2000; Morris et al., 2013). Sorghum is a staple food for the majority of the population in semi-arid tropical regions of Africa and Asia (Buffo et al., 1998; Dicko et al., 2006). Hence, improving the resource-use efficiency, yield, and quality in grain sorghum would affect large number of people around the world. In general, sorghum is known to have adapted to marginal soils with poor nutrient supply (Qi et al., 2016) and is tolerant to abiotic stresses, such as heat and drought (Pennisi, 2009; Sunoj et al., 2017; Chiluwal et al., 2018), allowing it to be productive even under unfavorable and marginal environments (van Oosterom et al., 2001; Saballos, 2008). However, sorghum yields may increase substantially with an adequate supply of nutrients. For example, higher grain yields under intensive agricultural systems have been achieved with adequate nitrogen (N) supply (Mahama et al., 2014; Bollam et al., 2021). Research on sorghum-yield improvement has been focused mainly on gaining smaller increments under marginal and unfavorable environments, and limited efforts have been invested in exploiting the true genetic potential of sorghum. Nevertheless, understanding the source-sink dynamics and the ability to enhance nitrogen use efficiency (NUE) in sorghum, including the traits or mechanisms involved in N uptake, transport, and remobilization, could provide new opportunities to achieve significant genetic gain under relatively favorable environments.

Nitrogen is an important essential nutrient and the most limiting one in modern crop production (Hirel et al., 2011). It plays an important role in the production of amino acids, proteins, and pigments, e.g., chlorophyll (Dovale et al., 2012). Depending on soil properties, plants absorb two chemical forms of N from the soil, viz., nitrate (NO3) and ammonium (NH4+) (Barber, 1984; Crawford and Glass, 1998). However, in well-aerated soils, NO3 is the most abundant and available form of N for plants (Warncke and Barber, 1973), and NH4+ tends to be the predominant form in non-cultivated soils (Crawford and Glass, 1998). Conversely, when both forms of N are available, NO3 tends to be the preferred form absorbed by plants (Pathak et al., 2008).

Adequate soil moisture is an important factor determining the efficient utilization of N by plants (Silva and Uchida, 2000), because low N availability in water-deficient soils substantially reduces crop yields. Hence, in drought-prone and rain-fed agricultural systems, effective utilization of applied N fertilizers is a major challenge in alleviating N deficiencies in crops, including sorghum (Lemaire et al., 1996; Andrews et al., 2013; McHenry, 2016). Besides soil moisture, temperature and pH are documented as influencing N-absorption rate in crops (Lycklama, 1963; Warncke and Barber, 1973).

Commercial sources of N fertilizers can be solubilized easily, which makes N readily available for absorption by plants. Hence, these fertilizers are most widely used in modern agriculture (Hirel et al., 2011). In the last 40 years, use of commercial fertilizers has increased > 7-fold, which has doubled crop yields. But it has resulted in low fertilizer use efficiency, particularly low NUE in crops (Tilman et al., 2002; Hirel et al., 2011). A major reason for low NUE in crops is due to an estimated 50–55% of nitrogen lost by leaching of nitrate, nitrous oxide emission, ammonia volatilization, and poor N uptake in water-deficient soil (Raun and Johnson, 1999; Ma et al., 2019; reviewed in Mahmud et al., 2021). Further, efficiency of multiple processes involved in the N loss from the soil is variable with environment and soil type (Mahmud et al., 2021). Incorporating NUE traits in crop-yield-improvement programs is crucial to reduce the overuse of commercial nitrogen fertilizers, associated cost, and nitrous oxide (N2O) emissions into the environment (Good et al., 2004; Ahlgren et al., 2008; Dovale et al., 2012).

Exploring natural, genetic diversity for NUE is one of the potential strategies that can be used to enhance NUE in sorghum. This would involve integration of high-throughput phenotyping (HTP), next-generation-sequencing (NGS)-based genotyping technologies, -omics analysis, and identification of candidate gene(s) (Masclaux-Daubresse et al., 2010; Bollam et al., 2021). However, physiological traits and molecular pathways that affect N uptake, assimilation, and remobilization in plants are complex (Gastal and Lemaire, 2002), and they get further complicated when interactions of N metabolism with different environmental factors are considered (Nasraoui et al., 2013; Das et al., 2017). Breeding for hybrids in soils that contain high available N may have already resulted in an indirect selection of sorghum hybrids with high NUE (Ceccarelli, 1996). However, for trait-based, targeted breeding aimed at increasing NUE, understanding the complexity and identifying key traits that will allow for increased NUE are essential to develop novel and highly efficient sorghum hybrids.

This review aims to highlight and summarize the importance of enhancing NUE in sorghum and to discuss the role of conventional, as well as advanced high-throughput phenotyping, in determining genetic diversity for NUE in sorghum. The major objectives are to (i) ascertain the factors that impact N status and eventually NUE in grain sorghum, (ii) identify key physiological traits and key genes that can help improve NUE and increase grain yield and quality in sorghum, and (iii) explore the role of high-throughput, sensor-based phenotyping to strengthen breeding programs for developing nitrogen-use-efficient sorghum hybrids. Finally, future research directions for increasing NUE in sorghum and developing hybrids with high yields and improved grain quality are proposed.

Impact of Nitrogen Levels on Biomass, Grain Yield, and Grain Nutrients in Sorghum

Sorghum is commonly grown in soils with low fertility and water availability, which drives the need for efficient use of resources, including N (van Oosterom et al., 2001). Extensive research has been conducted on the impact of available N on final grain yield. But studies on grain quality are limited (Kaufman et al., 2013; Mahama et al., 2014; Melaku et al., 2017). Key grain-yield determining components of sorghum are grain number and weight. The number of kernels is determined during the early part of the growth cycle (panicle initiation, gametogenesis, and anthesis), while kernel weight is mainly driven by post-flowering processes (Maman et al., 2004). Mahama et al. (2014) found that sorghum grain yield increased with an increase in applied N (0, 45, and 90 kg N ha–1), which was attributed to an increase in grain number. Worland et al. (2017) reported that kernel size in sorghum could be manipulated by N-application timing, because increased N supply at the grain-filling stage could increase sink size (kernel size), which would eventually support further increase in grain yield. Nevertheless, kernel number is considered as the major factor driving the overall yield of sorghum. Thus, application of N at key developmental stages, such as panicle initiation and spikelet differentiation, is crucial to achieve higher yields. Further, it has been documented that optimum N levels could aid in active and extended periods of photosynthesis, which result in enhanced biomass and grain yield in sorghum (Zhao et al., 2005). Interestingly, the effect of water stress on yield components has been shown to be similar to nitrogen deficiency. It has been documented that maintaining grain number, even under post-flowering water deficit, was more important than maintaining individual grain weight in sorghum (Adotey et al., 2021).

In addition to grain yield and biomass, several studies have confirmed that there is an increase in grain-protein content in sorghum with an increase in available N (Bayu et al., 2006; Kaye et al., 2007; Rashid et al., 2008; Kaufman et al., 2013). Several studies showed a positive linear response between N-application rate and grain-protein content (Bayu et al., 2006; Rashid et al., 2008; Diallo, 2012). Moreover, split applications of N at panicle initiation and at booting revealed that the optimum level of N application for yield and grain-protein content could vary (Figure 1; Ostmeyer et al., UnPub). Despite a non-significant change in yield under differential levels of N, protein levels increased substantially, which suggests that opportunities exist to enhance grain protein in sorghum independent of yield (Figure 1). On the contrary, few studies have reported the impact of N-application rates on starch content in sorghum grains (Kaufman et al., 2013). Although trade-offs between carbon and nitrogen assimilation have been documented (Tateno and Chapin, 1997), it has been reported that starch content and granule-size distributions were not affected by varying N-application rates (Kaufman et al., 2013). Similarly, the effect of N application on other grain macro- and micro-nutrients in sorghum has received little attention. One study reported that N application did not alter mineral concentrations in sorghum grains, except for P and S contents, and the results showed that there was a higher P content and a lower S content with increasing N application (Kaufman et al., 2013). Future research should focus on the ability to enhance grain protein and changes in amino-acid composition. In addition, concentration of macro- and micro-nutrients in sorghum grain, based on the quantity and timing of N application, warrant attention.

FIGURE 1
www.frontiersin.org

Figure 1. Grain yield and protein (dry weight basis) at different N levels (A) and a visual comparison of confocal laser scanning micrographs of dried grain endosperm (green color obtained using fast green dye indicates protein) with differing grain protein content respective to the total N levels [(B) 87 kg ha−1, (C) 201 kg ha−1, and (D) 265 kg ha−1]. Black vertical bars overlaying the gray bars (A) represent standard error (n = 4).

Nitrogen Partitioning and Stay-Green Trait in Sorghum

When sorghum is grown under N-sufficient conditions, shoots have been shown to accumulate higher concentrations of N than roots (Gleadow et al., 2016). Moreover, it has been shown that, until anthesis, the stem accumulates a greater amount of N than the leaves, whereas the panicle accumulates the majority of the plant’s N during later grain-filling stages due to remobilization of accumulated N from leaves and stem (McHenry, 2016). This partitioning of N within sorghum plant parts has been documented to follow the same trend with low- and high-input treatments, as well as under rain-fed or irrigated conditions (McHenry, 2016). Contrary to these results, it has been reported that leaf sheaths and leaf blades are the predominant N sink in sorghum, and high levels of N application (10 mM KNO3) given at 55 days after sowing resulted in a fourfold higher nitrate concentration in leaf sheaths compared to the control (Worland et al., 2017). Moreover, under N-deficient conditions, the demand for N from the leaves becomes proportionally greater than that from the stem (van Oosterom et al., 2010a). The higher accumulation of N in the leaves helps to maintain higher rates of photosynthesis, which are linked to increased pigment (chlorophyll) levels (Muchow and Sinclair, 1994). In the later part of the growth cycle, remobilization of N to panicles increases panicle N concentration during anthesis. Nitrogen concentrations in sorghum reach their highest levels during the grain-filling stage (Worland et al., 2017). van Oosterom et al. (2010b) reported that the first half of grain filling in sorghum is sink limited and the available N amount has no impact on N accumulation within the grain. However, during the second half of the grain-filling stage, N accumulation can be affected by the available N amount, leaving the plant source limited. This finding is further supported by confocal laser scanning micrographs and analysis of protein content (dry weight basis), as presented in Figure 1 [for additional details on scanning see Impa et al. (2020)]. There are distinctly lower protein concentrations at lower N levels.

The stay-green trait is a phenomenon that results in delayed foliar senescence, particularly during terminal grain filling. It aids in extended duration of assimilate production (functional stay-green), which ultimately results in higher yield in many crops (Thomas and Ougham, 2014). The stay-green phenomenon has been shown to be highly relevant under stressful conditions such as drought stress (Jordan et al., 2012; Thomas and Ougham, 2014). A negative correlation between the sorghum grain size and relative rate of leaf senescence (r = −0.63), and a positive correlation between grain yield and green-leaf area (r = 0.64), were observed under terminal drought (Borrell et al., 1999). The stay-green trait in sorghum has been reported to be affected by soil N availability and remobilization of N from vegetative parts to developing grains (Addy et al., 2010). In a controlled-environment study, Addy et al. (2010) showed that the stay-green trait in sorghum can only be expressed when an adequate amount of N is available in the soil. Findings have suggested that the application of N prior to the reproductive stage is necessary to increase the chlorophyll content at anthesis and the grain-filling stage, which favors higher grain yields under favorable conditions. On the contrary, under severe water-deficit stress, by reducing canopy size and shifting water use from pre- to post-flowering, more water is retained in the soil and photosynthetic processes are extended (Borrell et al., 2014). Under these dry conditions, altered canopy architecture was observed with reduced tillering, changes in leaf anatomy such as decreased leaf size, especially at the top of the plant, and reduced number of leaves per culm (Borrell et al., 2014). In summary, under favorable conditions, the stay-green trait is retained by having continued N availability, and, under water-deficit stress, altered canopy and leaf anatomy retain the stay-green trait. Thus, the stay-green trait sustains productivity under a wide range of environments with varying moisture conditions.

Nitrogen is an essential element for maintaining the chlorophyll content in plants, which is necessary for photosynthetic activity (Dovale et al., 2012). Thus, higher N demand by stay-green hybrids during the grain-filling period can be met by a higher N uptake from soil. In contrast, senescing phenotypes (those that do not have the stay-green trait) need a larger proportion of the grain N to be supplied through remobilization from stem and leaves (Borrell and Hammer, 2000). The stay-green trait has been shown to be effective in minimizing impacts of drought stress. Under greenhouse conditions, Addy et al. (2010) showed that the expression of the stay-green phenotype in sorghum was contingent upon the concentration of N, and plants needed at least 1.35 g N plant–1.

Limited knowledge is available on the impact of variable N availability on the stay-green trait in sorghum, and, hence, interactions of stay green and N warrant further investigation. Demonstration of the effectiveness of the stay-green trait under harsh environmental conditions (Harris et al., 2007; Borrell et al., 2014) has resulted in routine incorporation of the trait in almost all sorghum hybrid-breeding programs around the world (Jordan et al., 2012). Under sufficient resource (water and nutrients) availability, studies have shown that sorghum can yield as much as 9.3 t ha–1 (Assefa and Staggenborg, 2010) and 10.5 t ha–1 (Jordan et al., 2012). These studies showing the maximum yield of sorghum demonstrate the opportunity to enhance productivity and overall NUE under low-to-moderate-stress environments.

Interestingly, other cereals, such as wheat cultivars or maize hybrids, have either a complete or a major proportion of senescence achieved after reaching physiological maturity, while sorghum with the stay green trait continues to retain much of its green foliage even at harvest (Figure 2). This poses the question, “If the blanket inclusion of the stay-green trait is used in all breeding programs (Jordan et al., 2012), does this lead to a disadvantage under less stressful or non-stress conditions?” The hypothesis behind the stay-green phenomenon is that the carbon (sugars in the green stems) and N in the green leaves (Figure 2B) are locked in the shoot biomass, which has the potential to further enhance yield or grain protein content through increased translocation. Recent findings using lysimeter and field-based rainout shelters indicate the lack of reduction in individual grain weight at different positions along the panicle, even under severe drought (Adotey et al., 2021). Thus, as a route to enhance productivity under less stressful environments, there is potential to utilize these resources locked in the stem and leaves to support a larger sink size in sorghum. Moreover, a careful consideration of N translocation due to onset of senescence during post-flowering phase is warranted to fine-tune the balance between stay-green and senescence to achieve optimum grain yield and quality [reviewed in Jagadish et al. (2015)].

FIGURE 2
www.frontiersin.org

Figure 2. Visual comparison of plant greenness of maize (A; Photo credit to Rachel Veenstra), grain sorghum (B), and winter wheat (C) after physiological maturity and close to harvest maturity. Each image was captured when the respective crop was ready for mechanical harvesting.

Physiological and Molecular Approaches to Enhance Nitrogen Use Efficiency in Sorghum

Physiological Approaches

Nitrogen uptake in the form of nitrate and ammonium from the soil and its assimilation in plants are crucial to increase NUE (Xu et al., 2012). While nitrogen uptake is regulated by soil physical properties (Shamme et al., 2016), symbiotic microbial associations (Courty et al., 2014), and root traits, assimilation of N is more complex and involves different enzymes and associated co-factors (Massel et al., 2016). Pathak et al. (2008) summarized key physiological aspects of N uptake and assimilation, which can contribute to high NUE in plants such as (i) optimized nitrate uptake from the rhizosphere; (ii) increased nitrate and nitrite reduction efficiency (crucial enzymes to convert nitrate to nitrite and nitrite to ammonium for N assimilation), and (iii) increased ammonium assimilation. Bhatt et al. (1979) reported that a decrease in plant height was associated with an increase in nitrate reductase activity in sorghum. Higher nitrate reductase activity contributing to an augmented rate of N assimilation eventually resulted in higher NUE in shorter plants. However, limited information is available on the physiological or morphological traits that can be used to identify high NUE phenotypes for large-scale screening of sorghum germplasm. Conversely, a significant (p ≤ 0.01), positive relationship was observed between total leaf N and CO2 assimilation and the activity of the enzymes involved in carboxylation, including Rubisco and phosphoenolpyruvate carboxylase in C3 (r = 0.81) and C4 (r = 0.77) crops, respectively (Sage et al., 1987). Under N-deficit conditions, Rubisco is preferentially synthesized and can account for 50% of the total N in maize seedlings (Sugiyama et al., 1984).

Candidate Gene-Based Approaches to Enhance Nitrogen Use Efficiency

Improving NUE in crops has been attempted through a transcription-factor approach, wherein the Zea mays DOF1 (ZMDof1) transcription factor was introduced into sorghum, targeting phosphoenolpyruvate carboxylase (Peña et al., 2017). A tissue-specific maize rbcS1 promoter and a constitutive UBI4 promoter from sugarcane with the same ZMDof1 were used to increase biomass and yield components and down-regulate genes involved in photosynthesis that had negative impacts on height and biomass, respectively (Peña et al., 2017). Despite the positive agronomic impact achieved by following a tissue specific transcription-factor approach, a more systematic transgene stacking was considered essential to enhance NUE in crops, with minimal trade-offs under natural field conditions. A number of studies have overexpressed key N assimilation enzymes, including nitrate and nitrite reductase and glutamine synthetase (ammonium assimilation), but they have produced inconsistent results in enhancing NUE in cereal crops, such as rice (Massel et al., 2016, and references within). Several genes have been identified in sorghum (mostly nitrate/peptide transporter 1 (NRT1/PTR) genes contributing to N uptake), which show a high genetic diversity and could be utilized for further enhancement of NUE (Massel et al., 2016). Though a number of studies have manipulated different genes in different plant species, a dominant gene that enhances NUE has not been identified, which demonstrates the complexity surrounding the enhancement of NUE (Pathak et al., 2008). Further research is needed to ascertain how NUE is affected by photosynthetic rate, respiration rate, and other physiological factors controlled at the genetic level and altered by gene and environmental interactions.

Sensor-Based High-Throughput Phenotyping for Determining Nitrogen Use Efficiency

Responses of crops to nitrogen is mainly determined by their genetic background, and the complexity of NUE-related traits is controlled by multiple genes (Bollam et al., 2021). Thus, exploring genetic diversity for key traits associated with NUE is a promising route to develop high-NUE sorghum hybrids. Moreover, use of high-throughput phenotyping would allow for screening large and diverse germplasm or populations in a short period of time, which would facilitate the inclusion of NUE-related traits into routine breeding programs. High-throughput, sensor-based phenotyping is increasingly being used to monitor N status of crop plants and to devise appropriate N management tools (Yang et al., 2009; Shafian et al., 2018). Use of unmanned aerial vehicles (UAVs), equipped with visible light and multispectral sensors, has become popular recently (Xue and Su, 2017). These sensor-based platforms operate by measuring light absorption, transmittance, and reflectance. They rely on the principle that known wavelengths of light are absorbed by chlorophyll and are used for energy in photosynthesis to support growth and productivity. The part of light that is not absorbed by the plant is either transmitted or reflected, and different sensors or cameras are equipped to quantify transmittance and reflectance values. These values can be combined into an index that is used to compare traits that are strongly correlated with tissue nitrogen content, water content, chlorophyll content, and other pigments in sorghum under different management practices (Shafian et al., 2018).

Different spectral regions of electromagnetic radiation (EMR), such as the visible and near infrared (NIR), can be used in algorithms called vegetation indices (VIs) to determine different biological properties in sorghum (Shafian et al., 2018). A common vegetative index is the NDVI (normalized difference vegetation index), which is obtained from the ratio between the red and NIR reflectance. The sensors and cameras for sensing and imaging have become highly efficient, reliable, and precise for estimating crop health and greenness, which indirectly indicates N status in crops including sorghum (Fiorani and Schurr, 2013). Spectral image analysis has been used for the quantification of sorghum growth and grain yield. For instance, Yamamoto et al. (2002) found that the SPAD value of sorghum leaves was related to the chlorophyll level. Similarly, NDVI values of early growth stages could be used to estimate plant density (Potgieter et al., 2017; Shafian et al., 2018) as well final grain yield (Shafian et al., 2018). Moges et al. (2007) showed that NDVI data collected at panicle initiation in sorghum was highly correlated with final grain yield. A study observing the senescence of multiple grain sorghum hybrids with differing levels of stay-green showed that, when data were collected at anthesis, the NIR band (750–950 nm) alone related best to biomass, while the green-NDVI index related best to final grain yield (Barnhart et al., 2021).

Using modeling techniques, functional relationships between leaf reflectance and leaf N concentrations have been established (Zhao et al., 2005). Zhao et al. (2005) showed that the visible regions of the EMR are highly sensitive to N concentration. They determined that the leaf reflectance at 555 (blue) and 715 nm (red) increased when N was deficient and were related to either N or chlorophyll concentrations. Zhao et al. (2005) also reported that specific reflectance ratios (1,075 nm/735 nm and 405 nm/715 nm) could be used in the estimation of leaf N and chlorophyll concentrations with high accuracy. Using an UAV, Li et al. (2018) found that the chlorophyll and N content were correlated to green chlorophyll, red-edge chlorophyll, and normalized difference red-edge (NDRE) indices, as well as measurements taken with a ground-based hyperspectral sensor that was clipped to a sorghum leaf. They showed that UAV technology has the potential to be useful in phenotyping sorghum for key NUE traits, including biomass, chlorophyll, and nitrogen contents.

Similar to the determination of greenness or the overall health of crops, ground- or aerial-based sensors allow for efficient detection of the start of post-flowering senescence and provide opportunities for developing optimized source-sink relationships (Potgieter et al., 2017; Šebela et al., 2020; Barnhart et al., 2021). Barnhart et al. (2021) demonstrated that red-green-blue (RGB) VIs, specifically the visible atmospherically resistant index (VARI), have the potential to detect sorghum senescence rates (r = 0.60). Using NDRE, Potgieter et al. (2017) were able to observe the rate of senescence (difference between NDRE values at maximum canopy cover and at harvest maturity) of known stay-green and senescent sorghum genotypes, and found that the senescent genotypes had a faster rate of senescence as compared to the stay-green genotypes. Identifying the duration of leaf greenness (extended under water-deficit conditions; see section “Breeding for Enhanced Nitrogen Use Efficiency in Sorghum”) can be implemented using sensor-based technology. The development of more user-friendly image collection and processing procedures, along with the decrease in the cost of technology, is allowing more producers and researchers to take advantage of photogrammetry technologies (Barnhart et al., 2021). The use of these technologies has also the potential to increase the accuracy and speed of breeding for enhanced NUE, yield, and other key traits in sorghum.

Integration of these high-throughput phenotyping tools with advanced next generation sequencing-based genotyping would help to explore potential genetic variability for nitrogen utilization efficiency in sorghum. A native genetic variability in key yield traits related to NUE has been reported in a diverse set of sixty sorghum genotypes under low nitrogen regime (Bollam et al., 2021). Thus, potential genetic variability for N uptake and utilization efficiency exists and can be exploited by evaluating larger sets of diverse genotypes with high-throughput phenotyping and genotyping tools. Moreover, sensor-based N application along with integrated agronomic practices such as supplemental irrigation (Sigua et al., 2018), planting density (Dembele et al., 2021) could achieve higher yield and NUE in sorghum. Conversely, a higher genetic diversity has been reported in sorghum for below ground traits as compared to the aboveground traits (Wojciechowski and Kant, 2021). Roots architecture is crucial for uptake and supply N and other nutrients. Indeed, root traits such as root length, root tips, root average diameter, root weight, and specific root length were crucial determinants for NUE under low N conditions in wheat and spinach (Awika et al., 2021; Puccio et al., 2021). However, information on different root trait combinations related to NUE in sorghum warrants further research.

Breeding for Enhanced Nitrogen Use Efficiency in Sorghum

Breeding programs and genetic-modification studies have made modest progress in enhancing NUE in cereal crops, including sorghum, due to the complex nature of the trait and the lack of accurate phenotyping protocols for NUE (Garnett et al., 2015). Additionally, yield-oriented breeding programs have utilized narrow genetic diversity for N use (Massel et al., 2016) and NUE (Han et al., 2015). Grain yield is the major trait that is used extensively in determining NUE, which further complicates efforts to enhance NUE, because grain yield is influenced by the prevailing environmental conditions and strong genotype by environment interactions (Nguyen and Kant, 2018). Despite high N utilization efficiency (biomass produced in relation to N uptake) in elite maize cultivars, breeding programs aimed at improving maize have reached a plateau with N recovery efficiency (biomass produced in relation to N applied), which indicates the need to explore opportunities for additional N uptake for enhancing overall NUE (Moose and Below, 2009).

In sorghum however, the N pool does not determine the NUE until about mid-grain filling, with the late grain-filling stage mainly relying on the direct N uptake from soil (McHenry, 2016). Thus, identifying key rooting traits, which can allow for effective N uptake during the mid-to-late-grain-filling phase, could be a promising approach to enhance NUE in sorghum (Nguyen and Kant, 2018). When flooded rice paddies were compared with dry-seeded rice, an advanced and rapid rate of leaf senescence was recorded under dry-seeded rice. This translated to inadequate root length and root tip numbers during the grain maturing phase, which resulted in a deficient supply of N (Hongyan et al., 2018).

In sorghum, this could be approached in two different ways. First, sorghum grown under harsh and resource-poor conditions will benefit from the functional stay-green trait, because the impact of the terminal aboveground senescence may be not as severe as detected in other crops such as rice. The active and extended photosynthetic activity due to the stay green trait would possibly continue to support root growth even during late grain filling to actively extend uptake of water and N, as documented by McHenry (2016). We recommend large-scale phenotyping of diversity panels and mapping populations for late-season root characteristics to determine genetic donors that have vigorous rooting systems, which allow for increased late-season uptake of N to support grain filling. For developing proxies for sorghum using recent advances from other plants, based on above-ground foliage to determine below-ground activity, include the following: carbon stocks (Lopatin et al., 2019) and root:shoot ratio in coastal marsh (O’Connell et al., 2015), wheat (Elhaissoufi et al., 2020), and flag-leaf senescence in wheat (Nehe et al., 2018). These studies could provide novel routes for developing sorghum hybrids with increased N uptake to enhance overall NUE. Second, as proposed above, efforts to develop sorghum hybrids with efficient translocation of N could potentially not require an extensively active rooting system, as depicted in Figure 3. To date, there has not been an attempt to understand, under similar management and environmental conditions, the advantage of stay-green hybrids, along with their root systems, under favorable and water-deficit conditions. There can be a potential negative trade-off from stay-greenness that inhibits translocation of N and other nutrients under less stressful or favorable conditions.

FIGURE 3
www.frontiersin.org

Figure 3. Illustration comparing sorghum hybrids with increased terminal senescence under favorable environmental conditions with greater N translocation from leaves to increase yield and grain quality (left) versus stay-green sorghum hybrids grown under resource-poor conditions (right). Sorghum hybrids with efficient translocation of N and increased senescence under less stressful environments would potentially not require an extensive root system (left).

Wild or exotic genotypes have the potential to be useful in understanding the pathways leading to enhanced NUE (Garnett et al., 2015). A tremendous amount of genetic diversity within sorghum wild types, related to NUE, has been uncovered, which needs further investigation for translating the potential into adapted varieties (Massel et al., 2016). Massel et al. (2016) reported that a reduction of diversity in 80% of their studied genes in sorghum has been bottlenecked due to domestication. However, the asparagine synthetase (AS), asparaginase (ASPG), and aspartate ammonia lyase (AAL) gene families are all high in sequence diversity, and the (AAL) gene family has the greatest nucleotide diversity, indicting untapped potential. Bollam et al. (2021) screened 60 diverse sorghum genotypes from around the world for NUE and identified candidate lines for enhanced NUE under limited N supply. Genotypes for increased grain, stover, and dual-purpose sorghums were identified. In addition, lines with differing N uptake, assimilation, and amino-acid-biosynthesis genes were identified for incorporation into breeding programs for enhanced sorghum NUE (Bollam et al., 2021). Hence, the identification of diverse landraces or wild accessions could help to increase sorghum’s NUE quickly, particularly because there is a fast turn-around in breeding programs that utilize marker-assisted selection.

Although long-term breeding programs for yield enhancement under optimal N supply have resulted in poor adaptation to low N supply (Garnett et al., 2015), studies in wheat (Hirel et al., 2007) and maize (Moose and Below, 2009) have shown that modern varieties outperform older varieties even under low N-supply environments. Chardon et al. (2010) reported that N uptake and remobilization are independently inherited traits in Arabidopsis, which means that favorable alleles could be combined while breeding for enhanced NUE (Xu et al., 2012). Other candidate genes that influence enzymes, including nitrite reductase (NiR), aspartate aminotransferase (AST), and glutamine synthetase (GS) have been identified for further research in breeding for the enhancement of NUE in cereal crops, including sorghum (Massel et al., 2016). These enzymes are key in influencing NUE of plants. In particular, NiR converts NO3 into NH4+, GS influences the assimilation of NH4+, and AST integrates glutamate into aspartate, which is a precursor for the biosynthesis of different amino acids (Massel et al., 2016). Maranville and Madhavan (2002) explained that assimilation indices were higher for N-insufficient-tolerant lines than for those of intolerant lines under both N sufficient and insufficient environments. They demonstrated that tolerant lines showed higher phosphoenolpyruvate carboxylase activity under N-stress, which suggested that PEPcase and other enzymes that are associated with the synthesis of PEP may be responsible for maintaining higher amounts of photosynthesis under N-stress. Gelli et al. (2014) studied gene-expression patterns between N-insufficient tolerant and intolerant lines and found that there are a number of genes that are indirectly involved in nitrate assimilation. Moreover, differentially expressed gene transcripts (DEG) have been identified, which help to explain how different genotypes react to differing available-N levels at the seedling stage. These DEGs could potentially be candidates for enhancing NUE in sorghum. Xu et al. (2012) suggested that breeding for enhanced NUE should be conducted under moderate N supply to capture the evolutionary trade-offs between high production and the adaption to low N supply. In addition, direct gene transfer with marker-assisted selection approaches should be studied.

Overall, breeding for enhancing NUE in sorghum is difficult, because of the complexity of the trait. But genomic regions and candidate genes have been identified for further investigation. Breeding and improved agronomic practices will have to be carried out simultaneously, aided with accurate phenotyping, to increase NUE of sorghum. A universal method of phenotyping for NUE among all crops should be at the forefront of NUE research to support breeding programs across the world and to establish communication and to translate progress among crops. This would allow for increased genetic gain through enhanced NUE, which would eventually correlate with increased yields and improved quality.

Future Research Directions

Optimizing the Stay Green Trait

The relevance of the stay-green trait has been extensively demonstrated under water-limited conditions. But stem sugars and leaf N content locked in the foliage even at maturity (Figure 2) have the potential to increase productivity and grain protein content under favorable conditions. This hypothesis has not been systematically investigated, and, hence, an environment-based testing to determine the degree of stay-greenness needed to sustain productivity, under both water-deficit and favorable conditions, will unravel new opportunities to increase yield and grain quality under a wide range of climatic conditions.

Post-flowering N Root Uptake

Does sorghum rely on root-based N uptake after flowering that leads to a lush green canopy even at harvest, resulting in poor N translocation? Are the excess sugars in stem and N in leaves locked in foliage an untapped resource that could enhance sorghum productivity and grain quality even under current N management practices? Addressing these questions would help to establish novel experimental outputs, which will allow for enhancement in NUE in sorghum.

Redesigning the Sorghum Breeding Outlook

Considering sorghum’s ability to thrive under harsh and marginal environments, breeding sorghum for similar or even harsher environments does benefit certain geographic locations. However, sorghum’s genetic yield potential for less stressful environments would need a shift in breeding targets to benefit from traits, such as increased translocation during senescence. Having environment-specific trait(s)-based breeding programs will allow one to utilize sorghum’s inherent ability to tolerate harsh environments, but, at the same time, utilize favorable environments to enhance yield potential.

High-Throughput Phenotyping for Nitrogen Use Efficiency

Normalized difference vegetation index (NDVI), normalized difference red edge index (NDRE), and other non-destructive, high-throughput sensor technologies to detect nitrogen content in different plant parts, would allow for rapid breeding for increased NUE. High-throughput phenotyping methods and indices using either ground- or aerial-based imaging vehicles will allow for capturing wide genetic diversity for N response and help to integrate NUE traits into routine sorghum breeding programs.

Conclusion

The importance of NUE in sorghum, is highlighted in this review with the goal of increasing grain yield and quality across a wide range of environments. Enhancing NUE is critical in crops such as sorghum, which is grown predominately on marginal and resource-limited conditions. Though progress on enhancing resilience to harsh environments continues, limited efforts have been invested to explore sorghum’s yield potential under adequate N supply and favorable environments. Grain number is the primary determinant of grain yield in sorghum. Hence adequate availability of N at key physiological stages, e.g., panicle initiation, gametogenesis, and anthesis, is critical to attain maximum yield potential. The stay-green trait, which has been documented to sustain yield under stressed conditions (e.g., drought) could limit the ability to harness yield potential of sorghum, because it retains N and sugars in stem and leaves and prevents them from being translocated to the grain under favorable conditions (adequate moisture and available N). We hypothesize that optimization of the stay-green trait, with a balanced stay-green and senescence ratio, has the potential to increase grain yields and protein levels under favorable environments. To address the need to incorporate large genetic diversity for NUE-related traits, we recommend employing ground- and aerial-based sensor technology and developing new indices to capture these traits. Finally, a better understanding of the genetics and molecular processes involving NUE, accompanied by high-throughput phenotyping, is critical for identifying lines that increase NUE in sorghum.

Author Contributions

TO and RB drafted the review. MK, SB, and SJ provided comments and edited the manuscript. All authors finalized the review.

Funding

This work was supported in part by the United States Department of Agriculture, Agricultural Research Service. Contribution number 22-158-J from Kansas Agricultural Experimental Station.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the United States Department of Agriculture. The USDA is an equal opportunity provider and employer.

References

Addy, S., Niedziela, C. E., and Reddy, M. R. (2010). Effect of nitrogen fertilization on stay-green and senescent Sorghum hybrids in sand culture. J. Plant Nutr. 33, 185–199. doi: 10.1080/01904160903434253

CrossRef Full Text | Google Scholar

Adotey, R. E., Patrignani, A., Bergkamp, B., Kluitenberg, G., Prasad, P. V. V., and Jagadish, S. V. K. (2021). Water-deficit stress alters intra-panicle grain number in Sorghum. Crop Sci. 61, 2680–2695. doi: 10.1002/csc2.20532

CrossRef Full Text | Google Scholar

Ahlgren, S., Baky, A., Bernesson, S., Nordberg, Å, Norén, O., and Hansson, P. A. (2008). Ammonium nitrate fertiliser production based on biomass – Environmental effects from a life cycle perspective. Bioresour. Technol. 99, 8034–8041. doi: 10.1016/j.biortech.2008.03.041

PubMed Abstract | CrossRef Full Text | Google Scholar

Andrews, M., Raven, J. A., and Lea, P. J. (2013). Do plants need nitrate? The mechanisms by which nitrogen form affects plants. Ann. Appl. Biol. 163, 174–199. doi: 10.1111/aab.12045

CrossRef Full Text | Google Scholar

Assefa, Y., and Staggenborg, S. A. (2010). Grain Sorghum yield with hybrid advancement and changes in agronomic practices from 1957 through 2008. Agron. J. 102, 703–706. doi: 10.2134/agronj2009.0314

CrossRef Full Text | Google Scholar

Awika, H. O., Mishra, A. K., Gill, H., DiPiazza, J., Avila, C. A., and Joshi, V. (2021). Selection of nitrogen responsive root architectural traits in spinach using machine learning and genetic correlations. Sci. Rep. 11:9536. doi: 10.1038/s41598-021-87870-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Barber, S. A. (1984). “Nutrient balance and nitrogen use,” in Nitrogen in Crop Production, ed. R. D. Hauck (Madison, WI: ASA, CSSA, SSSA Books).

Google Scholar

Barnhart, I., Demarco, P., Prasad, P. V. V., Mayor, L., Jugulam, M., and Ciampitti, I. A. (2021). High-resolution unmanned aircraft systems imagery for stay-green characterization in grain sorghum (Sorghum bicolor L.). J. Appl. Remote Sens. 15:044501.

Google Scholar

Bayu, W., Rethman, N. F. G., Hammes, P. S., and Alemu, G. (2006). Effects of farmyard manure and inorganic fertilizers on sorghum growth, yield, and nitrogen use in a semi-arid area of Ethiopia. J. Plant Nutr. 29, 391–407.

Google Scholar

Bhatt, K. C., Vaishnav, P. P., Singh, Y. D., and Chinoy, J. J. (1979). Nitrate reductase activity: a biochemical criterion of hybrid vigour in Sorghum bicolor (L.) Moench. Ann. Bot. 44, 495–502.

Google Scholar

Bollam, S., Romana, K. K., Rayaprolu, L., Vemula, A., Das, R. R., Rathore, A., et al. (2021). Nitrogen use efficiency in Sorghum: exploring native variability for traits under variable N-Regimes. Front. Plant Sci. 12:643192. doi: 10.3389/fpls.2021.643192

PubMed Abstract | CrossRef Full Text | Google Scholar

Borrell, A. K., and Hammer, G. L. (2000). Nitrogen dynamics and the physiological basis of stay-green in Sorghum. Crop Sci. 40, 1295–1307. doi: 10.2135/cropsci2000.4051295x

PubMed Abstract | CrossRef Full Text | Google Scholar

Borrell, A. K., Bidinger, F. R., and Sunitha, K. (1999). Stay-Green trait associated with yield in recombinant inbred Sorghum lines varying in rate of leaf senescence. Int. Sorghum Millets Newsl. 40, 31–34.

Google Scholar

Borrell, A. K., Mullet, J. E., George-Jaeggli, B., Van Oosterom, E. J., Hammer, G. L., Klein, P. E., et al. (2014). Drought adaptation of stay-green sorghum is associated with canopy development, leaf anatomy, root growth, and water uptake. J. Exp. Bot. 65, 6251–6263. doi: 10.1093/jxb/eru232

PubMed Abstract | CrossRef Full Text | Google Scholar

Buffo, R. A., Weller, C. L., and Parkhurst, A. M. (1998). Relationships among grain sorghum quality factors. Cereal Chem. 75, 100–104. doi: 10.1094/cchem.1998.75.1.100

CrossRef Full Text | Google Scholar

Ceccarelli, S. (1996). Adaptation to low/high input cultivation. Euphytica 92, 203–214.

Google Scholar

Chardon, F., Barthélémy, J., Daniel-Vedele, F., and Masclaux-Daubresse, C. (2010). Natural variation of nitrate uptake and nitrogen use efficiency in Arabidopsis thaliana cultivated with limiting and ample nitrogen supply. J. Exp. Bot. 61, 2293–2302. doi: 10.1093/jxb/erq059

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiluwal, A., Bheemanahalli, R., Perumal, R., Asebedo, A. R., Bashir, E., Lamsal, A., et al. (2018). Integrated aerial and destructive phenotyping differentiates chilling stress tolerance during early seedling growth in sorghum. Field Crops Res. 227, 1–10. doi: 10.1016/j.fcr.2018.07.011

CrossRef Full Text | Google Scholar

Courty, P. E., Smith, P., Koegel, S., Redecker, D., and Wipf, D. (2014). Inorganic nitrogen uptake and transport in beneficial plant root-microbe interactions. Crit. Rev. Plant Sci. 34, 4–16.

Google Scholar

Crawford, N. M., and Glass, A. D. M. (1998). Molecular and physiological aspects of nitrate uptake in plants. Trends Plant Sci. 3, 389–395. doi: 10.1016/s1360-1385(98)01311-9

CrossRef Full Text | Google Scholar

Das, A., Rushton, P. J., and Rohila, J. S. (2017). Metabolomic profiling of soybeans (Glycine max L.) reveals the importance of sugar and nitrogen metabolism under drought and heat stress. Plants 6:21. doi: 10.3390/plants6020021

PubMed Abstract | CrossRef Full Text | Google Scholar

Dembele, J., Gano, B., Kouressy, M., Dembele, L., Doumbia, M., Ganyo, K., et al. (2021). Plant density and nitrogen fertilization optimization on sorghum grain yield in Mali. Agron. J. 113, 4705–4720. doi: 10.1002/agj2.20850

CrossRef Full Text | Google Scholar

Diallo, S. (2012). Effect of Genotypes and Nitrogen on Grain Quality of Sorghum. M.Sc. thesis. Manhattan, KS: Kansas State University.

Google Scholar

Dicko, M. H., Gruppen, H., Traoré, A. S., Voragen, A. G. J., and Van Berkel, W. J. H. (2006). Sorghum grain as human food in Africa: relevance of content of starch and amylase activities. Afr. J. Biotechnol. 5, 384–395.

Google Scholar

Dovale, J. C., Delima, R. O., and Fritsche-Neto, R. (2012). “Breeding for nitrogen use efficiency,” in Plant Breeding for Abiotic Stress Tolerance, eds R. Fritsche-Neto and A. Borem (Berlin: Springer), 53–65.

Google Scholar

Elhaissoufi, W., Khourchi, S., Ibnyasser, A., Ghoulam, C., Rchiad, Z., Zeroual, Y., et al. (2020). Phosphate solubilizing rhizobacteria could have a stronger influence on wheat root traits and aboveground physiology than rhizosphere P solubilization. Front. Plant Sci. 11:979. doi: 10.3389/fpls.2020.00979

PubMed Abstract | CrossRef Full Text | Google Scholar

Fiorani, F., and Schurr, U. (2013). Future scenarios for plant phenotyping. Annu. Rev. Plant Biol. 64, 267–291. doi: 10.1146/annurev-arplant-050312-120137

PubMed Abstract | CrossRef Full Text | Google Scholar

Garnett, T., Plett, D., Heuer, S., and Okamoto, M. (2015). Genetic approaches to enhancing nitrogen-use efficiency (NUE) in cereals: challenges and future directions. Funct. Plant Biol. 42, 921–941. doi: 10.1071/FP15025

PubMed Abstract | CrossRef Full Text | Google Scholar

Gastal, F., and Lemaire, G. (2002). N uptake and distribution in crops: an agronomical and ecophysiological perspective. J. Exp. Bot. 53, 789–799. doi: 10.1093/jexbot/53.370.789

PubMed Abstract | CrossRef Full Text | Google Scholar

Gelli, M., Duo, Y., Konda, A. R., Zhang, C., Holding, D., and Dweikat, I. (2014). Identification of differentially expressed genes between sorghum genotypes with contrasting nitrogen stress tolerance by genome-wide transcriptional profiling. BMC Genomics 15:179. doi: 10.1186/1471-2164-15-179

PubMed Abstract | CrossRef Full Text | Google Scholar

Gleadow, R. M., Ottman, M. J., Kimball, B. A., Wall, G. W., Pinter, P. J., LaMorte, R. L., et al. (2016). Drought-induced changes in nitrogen partitioning between cyanide and nitrate in leaves and stems of sorghum grown at elevated CO2 are age dependent. Field Crops Res. 185, 97–102. doi: 10.1016/j.fcr.2015.10.010

CrossRef Full Text | Google Scholar

Good, A. G., Shrawat, A. K., and Muench, D. G. (2004). Can less yield more? Is reducing nutrient input into the environment compatible with maintaining crop production? Trends Plant Sci. 9, 597–605. doi: 10.1016/j.tplants.2004.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Han, M., Okamoto, M., Beatty, P. H., Rothstein, S. J., and Good, A. G. (2015). The genetics of nitrogen use efficiency in crop plants. Annu. Rev. Genet. 49, 269–289. doi: 10.1146/annurev-genet-112414-055037

PubMed Abstract | CrossRef Full Text | Google Scholar

Harris, K., Subudhi, P. K., Borrell, A., Jordan, D., Rosenow, D., Nguyen, H., et al. (2007). Sorghum stay-green QTL individually reduce post-flowering drought-induced leaf senescence. J. Exp. Bot. 58, 327–338. doi: 10.1093/jxb/erl225

PubMed Abstract | CrossRef Full Text | Google Scholar

Hirel, B., Le Gouis, J., Ney, B., and Gallais, A. (2007). The challenge of improving nitrogen use efficiency in crop plants: towards a more central role for genetic variability and quantitative genetics within integrated approaches. J. Exp. Bot. 58, 2369–2387. doi: 10.1093/jxb/erm097

PubMed Abstract | CrossRef Full Text | Google Scholar

Hirel, B., Tétu, T., Lea, P. J., and Dubois, F. (2011). Improving nitrogen use efficiency in crops for sustainable agriculture. Sustainability 3, 1452–1485.

Google Scholar

Hongyan, L., Weiqin, W., Aibin, H., and Lixiao, N. (2018). Correlation of leaf and root senescence during ripening in dry seeded and transplanted rice. Rice Sci. 25, 279–285.

Google Scholar

Impa, S. M., Vennapusa, A. R., Bheemanahalli, R., Sabela, D., Boyle, D., Walia, H., et al. (2020). High night temperature induced changes in grain starch metabolism alters starch, protein and lipid accumulation in winter wheat. Plant Cell Environ. 43, 431–447. doi: 10.1111/pce.13671

PubMed Abstract | CrossRef Full Text | Google Scholar

Jagadish, S. V. K., Kavi Kishor, P. B., Bahuguna, R. N., von Wirén, N., and Sreenivasulu, N. (2015). Staying alive or going to die during terminal senescence—an enigma surrounding yield stability. Front. Plant Sci. 6:1070. doi: 10.3389/fpls.2015.01070

PubMed Abstract | CrossRef Full Text | Google Scholar

Jordan, D. R., Hunt, C. H., Cruickshank, A. W., Borrell, A. K., and Henzell, R. G. (2012). The relationship between the stay-green trait and grain yield in elite sorghum hybrids grown in a range of environments. Crop Sci. 52, 1153–1161. doi: 10.2135/cropsci2011.06.0326

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaufman, R. C., Wilson, J. D., Bean, S. R., Presley, D. R., Blanco-Canqui, H., and Mikha, M. (2013). Effect of nitrogen fertilization and cover cropping systems on sorghum grain characteristics. J. Agric. Food Chem. 61, 5715–5719. doi: 10.1021/jf401179n

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaye, N. M., Mason, S. C., Jackson, D. S., and Galusha, T. D. (2007). Crop rotation and soil amendment alters sorghum grain quality. Crop Sci. 47, 722–729. doi: 10.2135/cropsci2006.05.0346

PubMed Abstract | CrossRef Full Text | Google Scholar

Kimber, C. T. (2000). “Origins of domesticated sorghum and its early diffusion to India and China,” in Sorghum: Origin, History, Technology, and Production, eds C. W. Smith and R. A. Frederiksen (New York, NY: John Wiley & Sons), 3–98. doi: 10.1163/9789004497412_004

CrossRef Full Text | Google Scholar

Lemaire, G., Charrier, X., and Hébert, Y. (1996). Nitrogen uptake capacities of maize and sorghum crops in different nitrogen and water supply conditions. Agronomie 16, 231–246. doi: 10.3390/plants9101309

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, J., Shi, Y., Veeranampalayam-Sivakumar, A. N., and Schachtman, D. P. (2018). Elucidating sorghum biomass, nitrogen and chlorophyll contents with spectral and morphological traits derived from unmanned aircraft system. Front. Plant Sci. 9:1406. doi: 10.3389/fpls.2018.01406

PubMed Abstract | CrossRef Full Text | Google Scholar

Lopatin, J., Kattenborn, T., Galleguillos, M., Perez-Quezada, J. F., and Schmidtlein, S. (2019). Using aboveground vegetation attributes as proxies for mapping Peatland belowground carbon stocks. Remote Sens. Environ. 231:111217.

Google Scholar

Lycklama, J. C. (1963). The absorption of ammonium and nitrate by perennial rye-grass. Acta Bot. Neerl. 12, 361–423. doi: 10.1111/j.1438-8677.1963.tb00128.x

CrossRef Full Text | Google Scholar

Ma, Z., Yue, Y., Feng, M., Li, Y., Ma, X., Zhao, X., et al. (2019). Mitigation of ammonia volatilization and nitrate leaching via loss control urea triggered H-bond forces. Sci. Rep. 9:15140. doi: 10.1038/s41598-019-51566-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Mahama, G. Y., Vara Prasad, P. V., Mengel, D. B., and Tesso, T. T. (2014). Influence of nitrogen fertilizer on growth and yield of grain sorghum hybrids and inbred lines. Agron. J. 106, 1623–1630. doi: 10.2134/agronj14.0092

CrossRef Full Text | Google Scholar

Mahmud, K., Panday, D., Mergoum, A., and Missaoui, A. (2021). Nitrogen losses and potential mitigation strategies for a sustainable agroecosystem. Sustainability 13:2400. doi: 10.3390/su13042400

CrossRef Full Text | Google Scholar

Maman, N., Mason, S. C., Lyon, D. J., and Dhungana, P. (2004). Yield components of pearl millet and grain sorghum across environments in the central Great Plains. Crop Sci. 44, 2138–2145. doi: 10.2135/cropsci2004.2138

PubMed Abstract | CrossRef Full Text | Google Scholar

Maranville, J. W., and Madhavan, S. (2002). Physiological adaptations for nitrogen use efficiency in sorghum. Dev. Plant Soil Sci. 95, 81–90. doi: 10.1007/978-94-017-1570-6_10

CrossRef Full Text | Google Scholar

Masclaux-Daubresse, C., Daniel-Vedele, F., Dechorgnat, J., Chardon, F., Gaufichon, L., and Suzuki, A. (2010). Nitrogen uptake, assimilation and remobilization in plants: challenges for sustainable and productive agriculture. Ann. Bot. 105, 1141–1157. doi: 10.1093/aob/mcq028

PubMed Abstract | CrossRef Full Text | Google Scholar

Massel, K., Campbell, B. C., Mace, E. S., Tai, S., Tao, Y., Worland, B. G., et al. (2016). Whole genome sequencing reveals potential new targets for improving nitrogen uptake and utilization in Sorghum bicolor. Front. Plant Sci. 7:1544. doi: 10.3389/fpls.2016.01544

PubMed Abstract | CrossRef Full Text | Google Scholar

McHenry, B. M. (2016). Balanced Nutrition and Crop Production Practices for the Study of Grain Sorghum Nutrient Partitioning and Closing Yield Gaps. M.Sc. thesis. Manhattan, KS: Kansas State University.

Google Scholar

Melaku, N. D., Bayu, W., Ziadat, F., and Strohmeier, S. (2017). Effect of nitrogen fertilizer rate and timing on sorghum productivity in Effect of nitrogen fertilizer rate and timing on sorghum productivity in Ethiopian highland Vertisols. Arch. Agron. Soil Sci. 64, 480–491. doi: 10.1080/03650340.2017.1362558

CrossRef Full Text | Google Scholar

Moges, S. M., Girma, K., Teal, R. K., Freeman, K. W., Zhang, H., Arnall, D. B., et al. (2007). In-season estimation of grain sorghum yield potential using a hand-held optical sensor. Arch. Agron. Soil Sci. 53, 617–628. doi: 10.1080/03650340701597251

CrossRef Full Text | Google Scholar

Moose, S., and Below, F. E. (2009). “Biotechnology approaches to improving maize nitrogen use efficiency,” in Molecular Genetic Approaches to Maize Improvement. Biotechnology in Agriculture and Forestry, eds A. L. Kriz and B. A. Larkins (Berlin: Springer), 65–78. doi: 10.1007/978-3-540-68922-5_6

CrossRef Full Text | Google Scholar

Morris, G. P., Ramu, P., Deshpande, S. P., Hash, C. T., Shah, T., and Upadhyaya, H. D. (2013). Population genomic and genome-wide association studies of agroclimatic traits in sorghum. Proc. Natl. Acad. Sci. U.S.A. 110, 453–458. doi: 10.1073/pnas.1215985110

PubMed Abstract | CrossRef Full Text | Google Scholar

Muchow, R. C., and Sinclair, T. R. (1994). Nitrogen response of leaf photosynthesis and canopy radiation use efficiency in field-grown maize and Sorghum. Crop Sci. 34, 721–727. doi: 10.2135/cropsci1994.0011183x003400030022x

PubMed Abstract | CrossRef Full Text | Google Scholar

Nasraoui, H. A., Bouthour, D., Hfaidh, R., Gouia, H., Pageau, K., and Chaffei, H. C. (2013). The role of nitrogen availability for the salt-tolerance of two different varieties of durum wheat. Bull. Environ. Contam. Toxicol. 19, 711–717. doi: 10.1007/s00128-013-1120-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Nehe, A. S., Misra, S., Murchie, E. H., Chinnathambi, K., and Foulkes, M. J. (2018). Genetic variation in N-use efficiency and associated traits in Indian wheat cultivars. Field Crops Res. 225, 152–162. doi: 10.1016/j.fcr.2018.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, G. N., and Kant, S. (2018). Improving nitrogen use efficiency in plants: effective phenotyping in conjunction with agronomic and genetic approaches. Funct. Plant Biol. 45, 606–619. doi: 10.1071/FP17266

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Connell, J. L., Byrd, K. B., and Kelly, M. (2015). A hybrid model for mapping relative differences in belowground biomass and root: shoot ratios using spectral reflectance, foliar N and plant biophysical data within coastal marsh. Remote Sens. 7, 16480–16503. doi: 10.3390/rs71215837

CrossRef Full Text | Google Scholar

Pathak, R. R., Ahmad, A., Lochab, S., and Raghuram, N. (2008). Molecular physiology of plant nitrogen use efficiency and biotechnological options for its enhancement. Curr. Sci. 94, 1394–1403.

Google Scholar

Peña, P. A., Quach, T., Sato, S., Ge, Z., Nersesian, N., Changa, T., et al. (2017). Expression of the maize dof1 transcription factor in wheat and Sorghum. Front. Plant Sci. 8:434. doi: 10.3389/fpls.2017.00434

PubMed Abstract | CrossRef Full Text | Google Scholar

Pennisi, E. (2009). How sorghum withstands heat and drought. Science 323:573. doi: 10.1126/science.323.5914.573

PubMed Abstract | CrossRef Full Text | Google Scholar

Potgieter, A. B., George-Jaeggli, B., Chapman, S. C., Laws, K., Cadavid, L. A. S., Wixted, J., et al. (2017). Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of Sorghum breeding lines. Front. Plant Sci. 8:1532. doi: 10.3389/fpls.2017.01532

PubMed Abstract | CrossRef Full Text | Google Scholar

Puccio, G., Ingraffia, R., Giambalvo, D., Amato, G., and Frenda, A. S. (2021). Morphological and physiological root traits and their relationship with nitrogen uptake in wheat varieties released from 1915 to 2013. Agronomy 11:1149. doi: 10.3390/agronomy11061149

CrossRef Full Text | Google Scholar

Qi, G., Li, N., Sun, X. S., Wang, D., Ciampitti, I., and Prasad, V. (2016). “Overview of Sorghum industrial utilization,” in Sorghum: A State of the Art and Future Perspectives, eds I. Ciampitti and V. Prasad (Madison WI: American Society of Agronomy and Crop Science Society of America, Inc.), 463–476. doi: 10.2134/agronmonogr58.c21

CrossRef Full Text | Google Scholar

Rashid, A., Khan, R. U., and Ullah, H. (2008). Influence of nitrogen levels and application methods on yield and quality of Sorghum. Pedosphere 18, 236–241. doi: 10.1016/s1002-0160(08)60012-0

CrossRef Full Text | Google Scholar

Raun, W. R., and Johnson, G. V. (1999). Improving nitrogen use efficiency for cereal production. Agron. J. 91, 357–363. doi: 10.2134/agronj1999.00021962009100030001x

CrossRef Full Text | Google Scholar

Saballos, A. (2008). “Development and utilization of sorghum as a bioenergy crop,” in Genetic Improvement of Bioenergy Crops, ed. W. Vermerris (New York, NY: Springer), 211–248.

Google Scholar

Sage, R., Pearcy, R., and Seemann, J. (1987). The nitrogen use efficiency of C3 and C4 plants: III. Leaf nitrogen effects on the activity of carboxylating enzymes in Chenopodium album (L.) and Amaranthus retroflexus (L.). Plant Physil. 85, 355–359. doi: 10.1104/pp.85.2.355

PubMed Abstract | CrossRef Full Text | Google Scholar

Šebela, D., Bergkamp, B., Somayanda, I. M., Fritz, A. K., and Jagadish, S. V. K. (2020). Impact of post-flowering heat stress in winter wheat tracked through optical signals. Agron. J. 112, 3993–4006. doi: 10.1002/agj2.20360

CrossRef Full Text | Google Scholar

Shafian, S., Rajan, N., Schnell, R., Bagavathiannan, M., Valasek, J., Shi, Y., et al. (2018). Unmanned aerial systems-based remote sensing for monitoring Sorghum growth and development. PLoS One 13:e0196605. doi: 10.1371/journal.pone.0196605

PubMed Abstract | CrossRef Full Text | Google Scholar

Shamme, S. K., Raghavaiah, C. V., Balemi, T., and Hamza, I. (2016). Sorghum (Sorghum bicolor L.) growth, productivity, nitrogen removal, N- use efficiencies and economics in relation to genotypes and nitrogen nutrition in Kellem-Wollega zone of Ethiopia, East Africa. Adv. Crop Sci. Technol. 4, 3–10.

Google Scholar

Sigua, G. C., Stone, K. C., Bauer, P. J., and Szogi, A. A. (2018). Biomass and nitrogen use efficiency of grain sorghum with nitrogen and supplemental irrigation. Agron. J. 110, 1119–1127. doi: 10.1111/ppl.13306

PubMed Abstract | CrossRef Full Text | Google Scholar

Silva, J., and Uchida, R. (2000). “Essential nutrients for plant growth: nutrient functions and deficiency symptoms,” in Plant Nutrient Management in Hawaii’s Soils, Approaches for Tropical and Subtropical Agriculture, eds J. A. Silva and R. Uchida (Honolulu, HI: College of Tropical Agriculture and Human Resources, University of Hawaii and Manoa), 31–55.

Google Scholar

Sugiyama, T., Mizuno, M., and Hayashi, M. (1984). Partitioning of nitrogen among ribulose-1,5-bisphosphate carboxylase/oxygenase, phosphoenolpyruvate carboxylase, and pyruvate orthophosphate Dikinase as related to biomass productivity in maize seedlings. Plant Physiol. 75, 665–669. doi: 10.1104/pp.75.3.665

PubMed Abstract | CrossRef Full Text | Google Scholar

Sunoj, V. S. J., Somayanda, I. M., Chiluwal, A., Perumal, R., Prasad, P. V. V., and Jagadish, S. V. K. (2017). Resilience of pollen and post-flowering response in diverse sorghum genotypes exposed to heat stress under field conditions. Crop Sci. 57, 1658–1669. doi: 10.2135/cropsci2016.08.0706

PubMed Abstract | CrossRef Full Text | Google Scholar

Tateno, M., and Chapin, F. S. (1997). The logic of carbon and nitrogen interactions in terrestrial ecosystems. Am. Nat. 149, 723–744. doi: 10.1086/286017

CrossRef Full Text | Google Scholar

Thomas, H., and Ougham, H. (2014). The stay-green trait. J. Exp. Bot. 65, 3889–3900. doi: 10.1093/jxb/eru037

PubMed Abstract | CrossRef Full Text | Google Scholar

Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R., and Polasky, S. (2002). Agricultural sustainability and intensive production practices. Nature 418, 671–677.

Google Scholar

van Oosterom, E. J., Borrell, A. K., Chapman, S. C., Broad, I. J., and Hammer, G. L. (2010a). Functional dynamics of the nitrogen balance of sorghum: I. N demand of vegetative plant parts. Field Crops Res. 115, 19–28.

Google Scholar

van Oosterom, E. J., Carberry, P. S., and Muchow, R. C. (2001). Critical and minimum N contents for development and growth of grain sorghum. Field Crops Res. 70, 55–73.

Google Scholar

van Oosterom, E. J., Chapman, S. C., Borrell, A. K., Broad, I. J., and Hammer, G. L. (2010b). Functional dynamics of the nitrogen balance of sorghum. II. Grain filling period. Field Crops Res. 115, 29–38.

Google Scholar

Warncke, D. D., and Barber, S. A. (1973). Ammonium and nitrate uptake by corn (Zea mays L.) as influenced by nitrogen concentration and NH4+ /NO3- Ratio1. Agron. J. 65, 950–953. doi: 10.2134/agronj1973.00021962006500060031x

CrossRef Full Text | Google Scholar

Wojciechowski, T., and Kant, J. (2021). “How sorghum root traits can contribute to cereal yield increase,” in Cereal Grains, ed. A. K. Goyal (London: IntechOpen). doi: 10.5772/intechopen.97158

CrossRef Full Text | Google Scholar

Worland, B., Robinson, N., Jordan, D., Schmidt, S., and Godwin, I. (2017). Post-anthesis nitrate uptake is critical to yield and grain protein content in Sorghum bicolor. J. Plant Physiol. 216, 118–124. doi: 10.1016/j.jplph.2017.05.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, G., Fan, X., and Miller, A. J. (2012). Plant nitrogen assimilation and use efficiency. Annu. Rev. Plant Biol. 63, 153–182. doi: 10.1146/annurev-arplant-042811-105532

PubMed Abstract | CrossRef Full Text | Google Scholar

Xue, J., and Su, B. (2017). Significant remote sensing vegetation indices: a review of developments and applications. J. Sens. 2017:1353691.

Google Scholar

Yamamoto, A., Nakamura, T., Adu-Gyamfi, J. J., and Saigusa, M. (2002). Relationship between chlorophyll content in leaves of sorghum and pigeonpea determined by extraction method and by chlorophyll meter (SPAD-502). J. Plant Nutr. 25, 2295–2301. doi: 10.1081/pln-120014076

CrossRef Full Text | Google Scholar

Yang, C., Everitt, J. H., Bradford, J. M., and Murden, D. (2009). Comparison of airborne multispectral and hyperspectral imagery for estimating grain sorghum yield. Trans. Am. Soc. Agric. Biol. Eng. 52, 641–649.

Google Scholar

Zhao, D., Reddy, K. R., Kakani, V. G., and Reddy, V. R. (2005). Nitrogen deficiency effects on plant growth, leaf photosynthesis, and hyperspectral reflectance properties of sorghum. Eur. J. Agron. 22, 391–403. doi: 10.1016/j.eja.2004.06.005

CrossRef Full Text | Google Scholar

Keywords: grain quality, high-throughput phenotyping, sensors, stay-green, source-sink relationships

Citation: Ostmeyer TJ, Bahuguna RN, Kirkham MB, Bean S and Jagadish SVK (2022) Enhancing Sorghum Yield Through Efficient Use of Nitrogen – Challenges and Opportunities. Front. Plant Sci. 13:845443. doi: 10.3389/fpls.2022.845443

Received: 29 December 2021; Accepted: 08 February 2022;
Published: 28 February 2022.

Edited by:

Paul Christiaan Struik, Wageningen University and Research, Netherlands

Reviewed by:

Yong Zhang, Institute of Crop Sciences (CAAS), China
Ralf Uptmoor, University of Rostock, Germany

Copyright © 2022 Ostmeyer, Bahuguna, Kirkham, Bean and Jagadish. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: S. V. Krishna Jagadish, kjagadish@ksu.edu

ORCID: Troy J. Ostmeyer, orcid.org/0000-0002-3793-729X; Rajeev Nayan Bahuguna, orcid.org/0000-0002-6249-5833; M. B. Kirkham, orcid.org/0000-0001-9518-3548; S. V. Krishna Jagadish, orcid.org/0000-0002-1501-0960

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.