This article was downloaded by: [Texas Technology University] On: 23 April 2014, At: 18:31 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK Journal of Plant Nutrition Publication details, including instructions for authors and subscription information: http://www.tandfonline.com/loi/lpla20 NITROGEN HARVEST INDEX AND ITS ASSOCIATION WITH CROP YIELDS N. K. Fageria a a National Rice and Bean Research Center of EMBRAPA , Santo Antônio de Goiás , Brazil Accepted author version posted online: 24 Jan 2014.Published online: 01 Apr 2014. To cite this article: N. K. 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Fageria National Rice and Bean Research Center of EMBRAPA, Santo Antônio de Goiás, Brazil 2 Nitrogen (N) is one of the most yield-limiting nutrients in crop production around the world. The main reasons of N deficiency are low recovery efficiency (RE) of applied N fertilizers. The RE efficiency of N by most crop plants is lower than 50%. The lower RE of this element is associated with losses by volatilization, leaching, denitrification, and soil erosion. Some part of N is also immobilized in undecomposed organic materials and by soil microbial population. Nitrogen harvest index (NHI) is a ratio between N accumulated in grain to N accumulated in grain plus straw. The NHI is an important index in determining crop yields because it is positively associated with grain yield. Relationship between GHI and crop grain yield may be positive linear or quadratic depending on crop genotypes and soil and crop management practices adopted. In cereals retranslocation of previously assimilated N in the vegetative parts is the predominant source of N for the grain. The most important practices that can improve NHI are liming acid soils, use of adequate N rates, source and timing, planting N efficient crop species or genotypes within species, and use of appropriate crop rotation. Keywords: plant tops grain yield, N concentration and uptake, N use efficiency, N distribution in INTRODUCTION Nitrogen harvest index (NHI) is defined as the ratio between nitrogen (N) uptake in grain and N uptake in grain plus straw or shoot. Since N in the roots has little influence on the efficiency of N partitioning (Fawcett, 1980), the NHI ratio refers only to N in the aboveground parts of the plant (Rattunde and Frey, 1986). The NHI is an important index to measure retranslocation efficiency of absorbed N from vegetative plant parts to grain. This index is very useful in measuring N partitioning in crop plants, which provides an indication of how efficiently the plant utilized acquired Received 7 July 2010; accepted 28 August 2010. Address correspondence to N. K. Fageria, National Rice and Bean Research Center of EMBRAPA, Caixa Postal 179, Santo Antônio de Goiás, CEP 75375-000, GO, Brazil. E-mail: [email protected] 795 796 N. K. Fageria Downloaded by [Texas Technology University] at 18:32 23 April 2014 FIGURE 1 Relationship between nitrogen harvest index and grain yield of lowland rice grown on Brazilian Inceptisol (Fageria, 2009). N for grain production (Fageria and Baligar, 2003a). Since GHI is positively associated with grain yield (Figure 1), it is important that more N should be retanslocated to grain. Rattunde and Frey (1986) reported that the NHI was positively associated with grain yield of oats and response of grain yields to environmental productivity, but was inversely related to mean straw yield. Similarly, Kairudin and Erey (1988) also reported that NHI of oats was positively correlated with grain yield and groat protein yield in low and high N environments. In addition, the NHI and protein content are positively and significantly correlated in oats (Fawcett and Frey, 1982). This means that increasing NHI will also increase grain quality of cereals. A high NHI indicates increased partitioning of N to the grain (Bulman and Smith, 1994). Amount of N remobilized from storage tissues is important in grain nitrogen use efficiency and varies among genotypes and appears to be under genetic control (Moll et al., 1982; Dhugga and Waines, 1989). Genetic variation exists for NHI in wheat (Austin et al., 1977; Desai and Bhatai 1978), barley (Grant et al., 1991; Tillman et al., 1991), and rice (Fageria and Baligar, 2003b). High NHI is associated with efficient utilization of N (Fageria and Baligar, 2005). Thus, the variations in NHI are characteristic of genotypes and this trait may be useful in selecting crop genotypes for higher grain yield (Fageria and Baligar, 2005). Small grain crops take up most N before anthesis (Murata and Matsushima, 1975; Austin et al., 1977; Fawcett 1980). Dhugga and Waines (1989) reported that genotypes accumulate little or no N after anthesis had low grain yields and low NHIs. In wheat, the amount of N present at anthesis can be as high as 90 to 100% of total plant N at maturity (Loffler et al., 1985; Clarke et al., 1990; Heitholt et al., 1990). Although N uptake in small grain cereals often declines after anthesis, plants still retain the ability to absorb N, and appreciable quantities of N can be assimilated during grain filling (Austin et al., 1977). High levels of available soil N encourage postanthesis N uptake (Campbell et al., 1977; Heitholt et al., 1990) and depress the Downloaded by [Texas Technology University] at 18:32 23 April 2014 NHI and Crop Yields 797 amount of N retranslocated to the grain (Halloran, 1981; Bulman and Smith, 1994). High NHI is associated with efficient utilization of applied N (Fawcett and Frey, 1983) and grain protein yield (Welch and Young, 1980; Fawcett and Frey, 1982). Selecting for high NHI may give simultaneouslt improvement for grain yield and grain protein (Fawcett and Frey, 1983), or increase in grain yield with constant grain protein content (Loffler and Busch, 1982). Fawcett and Frey (1982) found NHI of oats was associated with responsiveness of grain yield to increasing soil N levls. The 10 entries with highest NHI values had a positive yield response of 0.25 Mg ha−1, whereas the 10 lowest NHI lines had a decrease of 0.50 Mg ha−1. Similarly, Rattunde and Frey (1986) reported that in oat selection for NHI in the high N environment gave realized heritabilities of 1.01 for high and 0.85 for low NHI lines. The objective of this review is to discuss importance of NHI in improving crop yields and how NHI can be improved for better utilization of N in crop plants. Values of Nitrogen Harvest Index in Crop Species/Genotypes The NHI values varied from crop species to crop species and among genotypes of the same species. Mean NHI values of 0.82 were reported for faba bean (Kaul et al., 1996); López-Bellido et al., 2003). Soil and crop management practices also influence NHI. In winter wheat, NHI values ranged from 0.51 to 0.54 for moldboard plowed conditions compared with 58 to 64% for no-till conditions (Rao and Dao, 1996). These results indicated that subsurface N fertilizer placement in plowed plots had no significant effect on grain yield or grain N content. In contrast, N banded below the seed in no-till conditions improved both grain yield and grain N contents compared with surface broadcast N (Rao and Dao, 1996). Values of NHI of 20 dry bean genotypes grown on Brazilian Oxisol are presented in Table 1. The NHI values varied from genotypes to genotypes and were also influenced by N levels. At low N rate (0 mg kg−1), values varied from 0.43 to 0.82, with an average value of 0.63. The cultivar ‘Perola’ had the maximum NHI and genotype CNFP 7624 had the minimum NHI. The NHI values at higher N level (400 mg kg−1) also varied from 0.53 to 0.88, with an average value of 0.75. The overall, increase in NHI with the application of 400 mg N kg−1 of soil was 19% compared to the control treatment. The cultivar ‘Perola’ produced highest NHI at low N level did not produce highest NHI at high N level. Similarly, the genotype CNFP 7624 produced minimum NHI at low N rate, and did not produce low NHI at high N rate. This means that NHI in dry bean genotypes is controlled by plant environmental conditions. From this data it can also be concluded that NHI should not be determined at one level of N but at variable N levels. 798 N. K. Fageria TABLE 1 Nitrogen harvest index (NHI) of 20 dry bean genotypes grown at two N rates Downloaded by [Texas Technology University] at 18:32 23 April 2014 Genotype Pérola BRS Valente CNFM 6911 CNFR 7552 BRS Radiante Jalo Precoce Diamante Negro CNFP 7624 CNFR 7847 CNFR 7866 CNFR 7865 CNFM 7875 CNFM 7886 CNFC 7813 CNFC 7827 CNFC 7806 CNFP 7677 CNFP‘7775 CNFP 7777 CNFP 7792 Average F-Test N rate (N) Genotype (G) NXG 0 mg N kg−1 of soil 400 mg N kg−1 of soil 0.82a 0.44a 0.80a 0.57a 0.67a 0.67a 0.65a 0.43a 0.80a 0.47a 0.71a 0.45a 0.44a 0.47a 0.71a 0.69a 0.71a 0.70a 0.79a 0.62a 0.63 0.73ab 0.53b 0.79ab 0.68ab 0.69ab 0.75ab 0.71ab 0.78ab 0.85a 0.74ab 0.69ab 0.85a 0.78ab 0.85a 0.85a 0.78ab 0.85a 0.85a 0.88ab 0.72ab 0.75 ∗∗ ∗∗ ∗∗ ∗∗ Significant at the 1% probability level. Within same column, means followed by the same letter do not differ significantly at 5% probability level by Tukeys test. Nitrogen Uptake and Its Association with Grain Yield Uptake of N in crop plants is the most important among the essential plant nutrients. However, N uptake is second to potassium (K) in some cereal crops such as rice (Fageria and Baligar, 2005). Nitrogen is mainly absorbed as nitrate (NO3 −) and ammonium (NH4 +) by roots. In oxidized soils, NO3 − is the dominant form and absorption of this form predominates. In reduced soil conditions, such as flooded rice, NH4 + may predominate in the absorption process. The topic of NH4 + vs. NO3 − nutrition of plants has been extensively reviewed (Mengel et al., 2001). It has been proven that most annual crops grow best when supplied mixtures of NH4 + and NO3 − under controlled conditions (Bock et al., 1991; Wang and Below, 1996; Fageria and Baligar, 2005). Generally, N in crop plants has positive association with grain yield (Fageria and Baligar, 2005). Figures 2 and 3 show that N uptake in lowland rice grain and shoot had a significant positive relationship with grain yield. Grain yield was linear when N uptake in the grain was between 75 to 300 mg plant−1. Variation in grain yield due to N uptake in grain was 70%. Downloaded by [Texas Technology University] at 18:32 23 April 2014 NHI and Crop Yields 799 FIGURE 2 Relationship between nitrogen uptake in grain and grain yield of lowland rice grown on Brazilian Inceptisol (Fageria, 2009). Similarly, N uptake in shoot was also significantly and quadratically associated with grain yield (Figure 3). The variation in grain yield due to N uptake in shoot was 47%. This means that N uptake in grain has higher correlation with grain yield compared to shoot. Grain N of cereals is derived largely from remobilization and translocation of N from vegetative parts after anthesis and N content in grain is always high compared to shoot (Kairudin and Frey, 1988; Fageria and Baligar, 2005). Management Practices to Improve Nitrogen Harvest Index Management practices that can improve N uptake and use efficiency in crop plants generally improve N harvest index in crop genotypes (Fageria and Baligar, 2005). Some management practices that can improve N uptake and use efficiency include liming acid soils, use of adequate rate, source, and timing of application, planting N efficient crop genotypes, and use of legumes in crop rotation. A synthesis of these management practices is presented here. FIGURE 3 Relationship between nitrogen uptake in shoot and grain yield of lowland rice grown on Brazilian Inceptisol (Fageria, 2009). 800 N. K. Fageria Downloaded by [Texas Technology University] at 18:32 23 April 2014 Liming Acid Soils Soil acidity is major constraint for crop production worldwide (Sumner and Noble, 2003; Fageria and Baligar, 2003a). Theoretically, soil acidity is measured by determining hydrogen and aluminum ions in soil solution. However, for crop production soil acidity is a complex issue involving availability of many essential plant nutrients and toxicity of some elements (Fageria and Baligar, 2003a; Baligar et al., 2001). Furthermore, soil acidity also influences activities of beneficial microorganisms in the soil. Adverse effects of soil acidity on plant growth has been observed by reducing plant morphology, yield, and yield components (Foy, 1992; Fageria and Baligar, 2003a). Soil acidity arises from several different sources. Soils become acidic due to leaching of basic ions in humid areas, parent materials initially low in basic cations [calcium (Ca2+), magnesium (Mg2+), K +, and sodium (Na+)], use of acidic fertilizers, fixation of atmospheric nitrogen by legumes, deposition of acid rains, nutrient cycling processes [carbon (C, N, and sulfur (S)], higher uptake of cations compared with anions, and microbial decomposition of organic matter (Sumner and Noble, 2003; Bolan and Hedley, 2003). In Brazilian Oxisols, deficiencies of most essential macro- and micronutrients have been reported for the production of upland rice, corn, wheat, dry bean, and soybean (Fageria and Baligar, 1997). Positive effects of liming on crop growth may be associated with amelioration of one or more of the above mentioned factors (Hayns, 1984), and possibly from reduced weed growth (Legere et al., 1994; Arshad et al., 1997). Liming is the most common and effective practice for reducing soil acidity related problems. Lime significantly increased grain yields of annual crops such as common bean, corn, and soybean grown on Brazilian Oxisols (Fageria, 2001, 2002; Fageria and Baligar, 2001, 2003a). Figure 4 shows that dry bean yields increased significantly and in a quadratic fashion with increased soil pH at 0–10 and 10–20 cm soil depths in a Brazilian Oxisol. Overall, maximum yield calculated on the basis of regression equation was obtained at a soil pH of 6.5. variation in grain yield due to increase in soil pH was 82% at 0–10 cm soil depth and 77% at 10–20 cm soil depth. Adequate N Rate, Source and Timing Use of adequate rate and source of N is an important aspect in improving N uptake and use fficiency and consequently NHI in crop plants. Nitrogen is very dynamic in soil-plant systems and changes with time and space. In addition, most of the N in the soils-plant systems is in the organic form and its mineralization rate also varies with variation of environmental factors. Hence, there no appropriate soil test for making fertilizer recommendations, like phosphorus (P) and K as immobile nutrients. The best method of making N recommendations is crop growth response curve. These curves should be developed for each crop species under different agroecological Downloaded by [Texas Technology University] at 18:32 23 April 2014 NHI and Crop Yields 801 FIGURE 4 Influence of soil pH on dry bean yield (Fageria, 2008). regions. Figure 5 shows lowland rice response to N fertilization. There was a quadratic increase in grain yield with increasing N rate from 0 to 200 kg ha−1. However, 90% of maximum yield considered as an economic level was obtained with the application of 136 kg N ha−1. Similarly, shoot dry weight FIGURE 5 Relationship between N rate and grain yield of lowland rice genotypes grown on Brazilian Inceptisol. Values are averages of 12 genotypes (Fageria and Santos, 2006). Downloaded by [Texas Technology University] at 18:32 23 April 2014 802 N. K. Fageria FIGURE 6 Relationship between N rate and shoot dry weight of upland rice (Fageria, 2009). was also increased in a quadratic fashion with increasing N rate in the range of 0 to 200 kg ha−1 (Figure 6). The 90% of maximum shoot dry weight was achieved with the application of about 120 kg N ha. In relation to source of N for crop production, there are several N carriers (Fageria and Baligar, 2005). In developing countries, ammonium sulfate and urea are two most common fertilizers. In developed countries, liquid ammonia is also used as a N fertilizer. Liquid ammonia requires special equipment for soil application, and this facility is not easily available in developing countries. Results related to ammonium sulfate and urea with lowland rice are presented in Figure 7. Based on 90% of the relative yield, (corresponds to 5750 kg grain ha−1) was obtained with the application of 84 kg N ha−1 in the case of ammonium sulfate. Similarly, in case of urea, 90% of the relative grain yield (corresponds to 4811 kg grain ha−1) was obtained with the application of 130 kg N ha−1. Hence, ammonium sulfate is better FIGURE 7 Lowland rice grain yield s influenced by N fertilization by two sources (Fageria et al., 2010). 803 NHI and Crop Yields TABLE 2 Lowland rice grain yield at different N timing during crop growth cycle. Total N used was 90 kg ha−1 Timing of N application Downloaded by [Texas Technology University] at 18:32 23 April 2014 Total at sowing 1/3 at sowing 1/3 at 45 days after sowing + 1/3 at panicle initiation growth stage 1/3 at sowinh + 13 at 45 days after sowing 1/2 at sowing + 1/2 at panicle initiation growth stage 2/3 at sowing +1/3 at 45 days after sowing 2/3 at sowing + 1/3 at panicle initiation growth stage 1/3 at sowing + 2/3 at 20 days after sowing Grain yield (kg ha−1) 6925ab 7071a 7093a 6834ab 6879ab 6866ab 6575b Source: Fageria and Prabhu (2004). fertilizer for lowland rice compared to urea. The reason for this may be that ammonium sulfate produce acidity (Fageria and Baligar, 2001) and rice is highly tolerant to soil acidity (Fageria et al., 2010). In relation to timing of N application, one part should be applied at sowing and remaining should be fractioned or topdressed during crop growth cycle according to plant needs. This may avoid N losses due to leaching and denitrfication. Data in Table 2 show that maximum grain yield of rice was obtained with the application of 1/3 at sowing +1/3 at 45 days after sowing +1/3 at panicle initiation growth stage. However, there was no significant FIGURE 8 Relationship between nitrogen application rate and grain yield of 5 lowland rice genotypes grown on Brazilian Inceptisol (Fageria, 2009). Downloaded by [Texas Technology University] at 18:32 23 April 2014 804 N. K. Fageria FIGURE 9 Nitrogen harvest index of lowland rice genotypes (Fageria, 2009). difference between this treatment and 1/2 N applied at sowing and remaining half at 45 days after sowing. Minimum grain yield was obtained when 1/3 of N was applied at sowing and remaining 2/3 at 20 days after sowing or at tiller initiation growth stage. This may be associated with loss of N by leaching and desnitrification when plants roots were not well developed (Fageria and Prabhu, 2004). Planting Nitrogen Efficient Crop Species/Genotypes Use of N efficient crop species or genotypes within species is an important management strategy for improving N use efficiency and consequently NHI in crop plants. Differences in N uptake and utilization among crop species and cultivars within species for wheat, sorghum, corn, ryegrass, and soybean have been reported (Fageria and Baligar, 2005; Fageria et al., 2010). Similarly, many researchers have found significant variations of N use efficiency among lowland rice genotypes (Singh et al., 1998; Fageria and Barbosa Filho, 2001; Fageria and Baligar, 2005). Pandey et al. (2001) reported that agronomic efficiency of N was higher in sorghum compared to pearl millet and corn over four N rates (45, 90, 235, and 180 kg N ha−1). Fowler (2003) reported significant yield differences among wheat genotypes with increasing N rates from 0 to 240 kg ha−1. Isfan (1993) reported highly significant variation among oat genotypes in both yield and physiological efficiency of absorbed N. According to this NHI and Crop Yields 805 TABLE 3 Soil and plant mechanisms and processes and other factors influencing genotypic differences in nutrient use efficiency in plants Downloaded by [Texas Technology University] at 18:32 23 April 2014 Nutrient acquisition Diffusion and mass flow in soil: buffer capacity, ionic concentration and properties, tortuosity, moisture, bulk density, temperature. Root morphological factors: number, length, extension, density, root hair density. Physiological: root/shoot ratio, root microorganisms (rhizobia, azotobacter, mycorrhizae), nutrient status, water uptake, nutrient influx and effux, nutrient transport rates, affinity for uptake (Km), threshold concentration (Cmin) Biochemical: enzyme secretion (phosphatases), chelating compounds, phytosiderophores, proton exudates, organic acid exudates (citric, malic, trans-aconitic) Nutrient movement in root Transfer across endoderma cells and transport in roots Comprtmentalization/binding within roots Rate of nutrient release to xylem Nutrient accumulation and remobilization in shoot Demand at cellular level and storage in vacuoles Retransport from older to younger leaves and from vegetative to reproductive tissues Rate of chelation in xylem transport Nutrient utilization and growth Nutrient metabolism at reduced tissue concentrations Lower element concentrations in supporting structure, particularly stems Elemental substitution (Fe for Mn, Mo for P, Co for Ni) Biochemical: peroxidase for Fe efficiency, ascorbic acid oxidase for Cu, carbonic anhydrase for Zn, metallothionein for metal toxicities Other factors Soil factors Soil solution: ionic equilibria, solubility, precipitation, competing ions, organic ions, pH, phytotoxic ions Physiochemical properties: organic matter, pH, aeration, structure, texture, compaction, moisture Environmental effects Intensity and quality of light (solar radiation) Temperature Moisture (rainfall, humidity, drought) Plant diseases, insects, and allelopathy) Source: Baligar et al. (2001), Fageria and Baligar (2003b); Fageria et al. (2010). author, ideal genotypes could be those that absorb relatively high amounts of N from soil and fertilizers, produces high grain yields per unit of absorbed N, and stores relatively little N in the straw. Similarly, many workers found corn genotype differences for absorption and utilization of N (Kamprath et al., 1982; Anderson et al., 1984; Moll et al., 1987). Figure 8 shows responses of five lowland rice genotypes to N fertilization. These genotypes differ in yield response to applied N. The genotype that produced above average yields compared to all the genotypes tested at the low N level and responded well to applied N. Genotype BRSGO Guará fall in this group. Genotypes CNAi 8569 produced well under low N rate but did not respond well to higher N rates. Genotypes BRS Biguá and BRS Jaburu produced lowest grain yield at lower N rates but 806 N. K. Fageria TABLE 4 Quantity of nitrogen fixed by legume cover crops Downloaded by [Texas Technology University] at 18:32 23 April 2014 Crop species Peanut (Arachis hypogaea L.) Cowpea (Vigna unguiculata L. Walp.) Alfalfa (Medicago sativa L.) Soybean (Glycine max L.) Fava bean (Vicia faba L.) Hairy vetch (Vicia villosa Roth.) Ladino clover (Trifolium repens L) Red clover (Trifolium pratense L.) White lupine (Lupinus albus L.) Field peas (Pisum sativum L.) Chickpea (Cicer arietinum L.) Pigeon pea (Cajnus cajan L. Huth.) Kudzu (Pueraria phaseoloides Roxb. Benth) Chick pea (Cicer arietinum L.) Greengram (Vigna radiata L. Wilczek.) Lentil (Lens culinaris L.) N2 fixed (kg ha−1 crop−1) Reference 40–80 30–50 78–222 50–150 177–250 50–100 164–187 68–113 50–100 174–195 24–84 150–280 100–140 24–84 71–112 57–111 Brady and Weil (2002) Brady and Weil (2002) Heichel (1987) Brady and Weil (2002) Heichel (1987) Brady and Weil (2002) Heichel (1987) Heichel (1987) Brady and Weil (2002) Heichel (1987) Heichel (1987) Brady and Weil (2002) Brady and Weil (2002) Heichel (1987) Chapman and Myers (1987) Smith et al. (1987) responded well at higher N rates. From a practical point of view, the genotypes that fell into the efficient and responsive group would be the most desirable because they can produce well at low soil N levels and also respond well to applied N. Thus, this group could be utilized with low as well TABLE 5 Nitrogen fertilizer equivalence (NFE) of legume cover crops to succeeding non-legume crops Legume/non-legume Crop Hairy vetch/cotton Hairy vetch + rye/corn Hairy vetch/corn Hairy vetch/sorghum Hairy vetch/corn Hairy vetch + wheat/corn Crimson clover/cotton Crimson clover/corn Crimson clover/sorghum Common vetch/sorghum Bigflower vetch/corn Subterranean clover/sorghum Sesbania/lowland rice Alfalfa/corn Alfalfa/wheat Arachis spps/wheat Subterranean clover/wheat White lupin/wheat Arachis spps/corn Pigeon pea/corn Sesbania/potato Mungbean/potato Chickpea/wheat Source: Compiled from Smith et al. (1987) and Kumar and Goh (2000). NFE (kg ha−1) 67–101 56–112 78 89 78 56 34–67 50 19–128 30–83 50 12–103 50 62 20–70 28 66 22–182 60 38–49 48 34–148 15–65 NHI and Crop Yields 807 Downloaded by [Texas Technology University] at 18:32 23 April 2014 as high input technology with reasonably good yields (Fageria and Baligar, 2005). Data presented in Figure 9 show that there significant variation in NHI in lowland rice genotypes. Genotypes BRS Biguá, CNA 8885, and BRSGO Guará had maximum NHI, and genotype CNA 8569 had minimum NHI. There are several reasons have been proposed for difference in genotypes for N use efficiency and consequently NHI. The mechanisms that are responsible for differences in uptake and use efficiency of N among crop species or genotypes are synthesized in Table 3. Use of Appropriate Crop Rotation Use of appropriate crop rotation is an important crop management strategy to improve N uptake. Crop rotation is a planned sequence of crops growing in a regularly recurring succession on the same area of land, as contrasted to continuous culture of one crop or growing a variable sequence of crops (Soil Science Society of America, 2008). The use of crop rotation in crop production has been in existence for thousands of years. Early writers reported that crop rotation was in use in ancient Greece and Rome (Karlen et al., 1994). MacRae and Mehuys (1985) reported that crop rotations were practiced during the Han dynasty of China more than 3000 years ago. In an appropriate crop rotation, a legume should be included with cereals. Legume fixes atmospheric N and could potentially reduce N requirements of succeeding cereal crops (Tables 4 and 5). Nitrogen requirements of cereals are reduced when grown after legume crops. One method for quantifying the N contribution of legumes is the estimation of fertilizer replacement value (FRV) (Iragavarapu et al. 1997). Hesterman (1988) defined FRV as the amount of inorganic N fertilizer required to produce yields in a nonrotated crop equivalent to that obtained in the same but nonfertilized crop following a legume. Crop rotation is an effective disease, insect, and weed control practice (Karlen et al., 1994). Furthermore, crop rotation benefits are improved water use efficiency, increased nutrient use efficiency, reduced allelopathy, and improved soil quality. CONCLUSIONS Nitrogen is one of the most yields limiting nutrients in crop production in most of the agroecological regions of the world. The N limitation in crop production is associated with its low recovery efficiency (<50%) of applied fertilizers. The low recovery of N is associated with its losses in soil-plant systems mainly by volatilization, leaching, denitrification, and soil erosion. Hence, improving N use efficiency is fundamental in crop production to increase yields of grain crops, reduce cost of crop production and also environmental pollution. After absorption N by crop plants it should be partitioned between vegetative and reproductive or economic part of the 808 N. K. Fageria plants like grains. This N partitioning efficiency, which is measured as the ratio of grain N to total plant N (grain plus straw), called nitrogen harvest index (NHI). The NHI is characteristic of genotypes, however, can be improve by better environmental conditions of the growing plants. The NHI can be improved in crop plants by adopting appropriate soil and plant management practices. These practices are use of adequate N rate, source and timing of application, planting efficient crop species or genotypes within species and use of legumes in the crop rotation. Downloaded by [Texas Technology University] at 18:32 23 April 2014 REFERENCES Anderson, E. L., E. J. Kamprath, and R. H. Moll. 1984. Nitrogen fertility effects on accumulation, remobilization, and partitioning of N and dry matter in corn genotypes differing in prolificacy. Agronomy Journal 76: 397–404. Arshad, M. A., K. S. Gill, T. K. Turkington, and D. L Woods. 1997. Canola root rot and yield response to liming and tillage. 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