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a Univ. of California Coop. Ext., Shafter, CA, and Univ. of California, Davis, CA
b Dep. of Agron. and Range Sci., 1 Shields Ave., Univ. of California, Davis, CA 95616
c Univ. of California, Madera, Kings, Merced, Tulare, Fresno, Kern, and Glenn Counties, respectively
d Univ. of California, Shafter, CA
e Dep. of Agron. and Range Sci., Univ. of California, Davis, CA (currently USDA, Stoneville, MS)
f Cotton Inc., Cary, NC
g Univ. of California, Shafter, CA
* Corresponding author (rltravis{at}ucdavis.edu).
Received for publication December 17, 2002.
| ABSTRACT |
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Abbreviations: REC, Research and Extension Center SJV, San Joaquin Valley WS REC, West Side Research and Extension Center
| INTRODUCTION |
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Total annual N use in California for all crops has increased in recent years and is currently estimated at 450000 Mg (USDA Econ. and Stat. Syst., 2001). Average N fertilizer application rates for California upland cotton increased from about 120 kg ha1 in the late 1970s to about 200 kg ha1 by the mid 1990s (Fritschi et al., 2003). Current management strategies for SJV cotton production call for N applications ranging from 171 to 228 kg ha1 (Weir et al., 1996); however, actual rates will depend upon soil type and previous cropping history. In some cases, annual N application for cotton may exceed 228 kg ha1 (Weir et al., 1996). Assuming annual California cotton production has averaged 400000 ha over the past decade, cotton would account for nearly 18% of all agricultural N used in California during that time. Increases in applied N in the SJV above levels prevailing 20 to 30 yr ago are a result of a combination of factors. For one, the higher yields associated with the newer varieties suggest greater need for N, yet there is little evidence to support this contention. In addition, use of the growth regulator mepiquat chloride has altered irrigation and N fertilizer management practices in many cotton production areas of the state. Since mepiquat chloride can be used to control excessive growth (Kerby et al., 1996), there is less need for restricted water and N applications.
Most of the newer Acala varieties are more determinate in growth habit than the older varieties. Plant populations typically used are higher, and length of the growing period has been reduced. This raises the question of whether current N applications accurately reflect crop needs (Marsh et al., 2000). One possible scenario is that N is being applied in excessive amounts. If so, this could have a negative impact on the ecosystem (Franco and Cady, 1997; Burow et al., 1998). If the rotation sequence lacks sufficient deep-rooted crops to intercept applied and residual N, the movement of NO3N through the soil profile can result in groundwater contamination that may lead to human health problems (Comly, 1987; Kross et al., 1993). The relatively low cost of N fertilizer sources over the past decade has increased the likelihood for overuse of N and resulting groundwater contamination. Growers often consider making higher N fertilizer applications, even in excess of crop N requirements, as cheap insurance against N limitations to yield. More recently, increases in energy costs, which constitute a large part of N fertilizer production costs, have been passed onto growers as increases in fertilizer cost, making it doubly important to reevaluate N recommendations.
Development of an effective N management system for cotton will require close attention to plant needs while balancing those needs against environmental concerns. Nitrogen deficiency reduces vegetative and reproductive growth and induces premature senescence, potentially reducing yields (McConnell et al., 1993; Gerik et al., 1994). Likewise, excess N can negatively impact cotton growth and development (Hutchinson et al., 1995; McConnell et al., 1995). Higher-than-desired N levels during bloom/early boll fill can promote vegetative development at the expense of fruit retention (Gaylor et al., 1983; Mullins and Burmester, 1990; Boquet and Breitenbeck, 2000). Excess mid- and late-season N can delay progress toward cutout, delay the timing of defoliation, and increase the cost of defoliation (Roberts et al., 1996). In addition, excess N can increase problems with late-season silverleaf whitefly (Bemisia argentifolii) and aphid (Aphis gossypii) infestations that can complicate defoliation and reduce lint quality (Roberts et al., 1996; Cisneros and Godfrey, 2001; Bi et al., 2001). The use of mepiquat chloride further complicates this issue.
Although there has been considerable research on cotton N use, the literature does not provide a clear assessment of plant need. Bassett et al. (1970) in California and Halevy (1976) and Halevy and Kramer (1986) in Israel reported that total N accumulation in aboveground plant tissue in older varieties ranged from 10 to 12 kg N per 100 kg lint under moderate yields of 1200 to 1500 kg lint ha1. Lutrick et al. (1986), following a 3-yr demonstration, suggested that the "sufficient-N zone" established in prior years was higher than desirable and should be redefined to reduce excess N applications. Later, Unruh and Silvertooth (1996) in Arizona indicated an average of 12 kg N per 100 kg lint, with aboveground plant accumulation of 205 kg ha1. Mullins and Burmester (1990) concluded that newer non-Acala southeastern USA cotton varieties take up an average of 18 kg N per100 kg lint. Although they indicated that this high ratio is typical of southeastern varieties, this is not relevant to California. Lint yields of 1600 to 1900 kg lint ha1 are common in the SJV. This would result in uptake estimated at 290 to 340 kg N ha1. If fertilizer rates were adjusted to supply that amount of N on an annual basis in California, current evidence suggests that significant N leaching losses would occur.
Although the newer California upland varieties typically produce high yields, there is limited information on N uptake in these systems. Hutmacher et al. (1994)(1995), using drip irrigation with recent Acala varieties Germain GC-510 and CPCSD Maxxa, reported total N accumulation in aboveground plant tissue close to 10 kg N per 100 kg lint. These values were closer to those reported by Bassett et al. (1970) for the older California varieties than to recent averages from the southeastern USA. Thus, in the large plants and high-yield conditions in much of SJV, the average N uptake requirement per unit yield may be lower than in other parts of the Cotton Belt. To achieve sustainable high yields while limiting leaching of NO3N below the root zone, more information is needed regarding optimal amounts of N fertilizer required to achieve acceptable yields.
In the absence of clearly defined N requirements for cotton, SJV recommendations continue to be based upon earlier studies (Weir et al., 1996). While current recommendations may reflect plant needs, they do not consider the potential contribution of other N sources. It is becoming increasingly clear that a substantial amount of N can be present in the soil, either as inorganic N remaining from previous years or in organic forms (Marsh et al., 2000; Fritschi et al., 2003) that will at least partially satisfy this requirement. Thus, a first approximation of N needs should consider that contribution. This has been hindered by difficulties in accurately assessing soil N reserves. Previous efforts in California (Weir et al., 1996) have attempted to relate soil NO3N levels in the upper region of the profile to yield responses, but no widely accepted recommendations have been developed. The problem is that the variable release of NO3, NH+4, and organic N also impacts growth and yield.
This communication summarizes the results of a 5-yr study that assessed the N management practices for upland cotton production in the SJV of California. Large-scale plots were established at seven or eight locations per year, with at least one site in each of the six cotton-producing counties in the SJV. Year-by-year yields as influenced by N application, residual N in the upper 0.6 m of the soil profile, and climatic conditions are reported here. The results will show that excessive N is often applied in SJV crop rotations that include cotton. Methods of assessing crop N needs are discussed.
| MATERIALS AND METHODS |
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Plot Size and Locations
The experiments were conducted on the University of California West Side Research and Extension Center (WS REC) in western Fresno County, Shafter Research and Extension Center (REC) in north-central Kern County, and at on-farm sites in Fresno, Kern, Kings, Madera, Merced, and Tulare Counties. The University research center plots were four rows wide by approximately 90 m long. Grower plots were six or eight rows wide and ranged in length from 200 m to more than 450 m (the full length of the irrigation runs). Row widths ranged from 0.76 to 1.02 m. Four replications were used in a randomized complete block design in all cases. The WS REC plots were in the same location for 1996 and 1997 but were moved to an adjacent field for 1998 through 2000. The Shafter REC plots were moved to a new site in 1999 due to crop rotation requirements of the research center. Trials were repeated on other sites as permitted by grower rotation schedules. The 1998 to 2000 Kings County and the 1997 to 1999 Tulare County trials were maintained on the same sites. In addition, there were seven trials located on the same site for two consecutive years. The remaining 11 trials were on single-year sites. Table 1 summarizes the rotation sequences and soil types for all experimental sites.
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Nitrogen Treatments
All N fertilizer treatments were applied after planting but before the first in-season irrigation. Fertilizer applications were typically made in late April through late May, depending upon site and year. The first within-season irrigation was applied in mid- to late May to early June. Fertilizer N rates were 56, 112, 168, or 224 kg ha1 after correction for soil residual N in the upper 0.6 m of the soil profile. When residual soil NO3N exceeded 56 kg N ha1, that amount was set as the baseline treatment (identified as 56 kg ha1). The remaining treatments were established by applying an additional 56, 112, and 168 kg N ha1, producing treatments that will hereafter be referred to as the 112, 168, and 224 kg ha1, respectively. Only in 1996, three supplemental treatments were established by applying an additional 56 kg N ha1 to all but the 224 kg ha1 treatment before the second irrigation. These treatments were omitted in subsequent years due to the lack of a yield response in 1996 and grower requests for simplified fertilizer applications. Liquid urea solutions were applied as the fertilizer N source at most sites. The solutions were dripped through tubes behind or through a soil shank pulled to a depth of 15 to 25 cm adjacent to every plant row at a distance of 20 to 35 cm from the row. Various implements were used to close the shanked soil opening following application. Granular dry urea was applied through a hollow shank at a depth of 12 to 20 cm at the Shafter REC site in 1996, the Merced County site in 1997, and the WS REC site in 1998 and 1999. Anhydrous NH3 was used at the Kern County site in 1997. Field application equipment was calibrated in nonplot test rows before test plot applications in all cases.
Soil Sampling
Samples were collected from all plots within the first 9 to 17 d after planting for residual soil NO3N analyses. Six locations per field replication in the low-N treatment were sampled at each site. Samples were taken in 0.3-m increments to a depth of 0.6 m with a hand auger, composited within each replication, and air-dried at 35 to 40°C for NO3N analyses. Deep sampling was done two times per year at each site to evaluate NO3N uptake and movement within the soil: (i) within 11 to 27 d after planting across all sites and years but before N fertilization in all cases and (ii) within 20 d after harvest. Hand- or power-augercollected samples (4.45-cm-diam. tube) were taken on the edge of the beds within 7.5 to 15 cm of the planted row. Subsamples ranging from 40 to 50 g in weight were taken from each primary sample to determine gravimetric water content using the method of Gardner (1965). Four locations within each plot were sampled in the first, second, and third years of the study while three locations per plot were sampled in Years 4 and 5. Replicate plots for each treatment were sampled at each location in 0.3-m increments to a depth of 1.2 m and then in 0.6-m increments to 2.4 m. After 1996, it was determined that average levels and patterns of soil NO3N across treatments were not significantly different when using three vs. four field replications. As a result, deep soil sampling (depths greater than 0.6 m) at postplanting and postharvest was not done in the fourth field replication in subsequent years. The soil samples were refrigerated (24°C) until subsampled or analyzed. Separate subsamples were used for each analysis class.
Soil and Water Analyses
Soil NO3N was determined on 2 M KCl extracts (Keeney and Nelson, 1982). Total micro-Kjeldahl N (Bremner and Mulvaney, 1982) and NH4N (Keeney and Nelson, 1982) were assayed on a limited number of samples from select field locations in 1997 and 1999. These data were used to compare relative levels of total N and NH4N with NO3N. Separate subsamples were prepared by compositing samples from three to four sample locations for each depth. Those were air-dried at 35 to 45°C and analyzed for total extractable PO4P by 2% acetic acid extraction (Olsen and Sommers, 1982) and ammonium acetateexchangeable K (Cassman et al., 1990; Thomas, 1982). Nitrate contributed by irrigation water was estimated from NO3N analyses and volume of water per application (see "Cultural Practices" section). Three replicate 50-mL water samples were collected in Nalgene bottles from midstream of the irrigation water source. Samples were collected at each site during one irrigation per month in June, July, and August each year. Water delivery was allowed to run for a minimum of 15 min before sample collection. If there was more than one irrigation per month at any site, no additional samples were collected. This was assumed to represent an average NO3N concentration for all other irrigations that month unless a change in water source occurred. In that case, additional samples were collected and analyzed. Water NO3N was measured using an ion-selective electrode (Keeney and Nelson, 1982).
Groundwater Depth
Shallow groundwater may contribute N to the cropping system in some situations. Shallow groundwater (above a depth of 2.4 m) was evident at postplanting and postharvest soil sampling times at two Fresno County sites (1996 and 19971998) and one Merced County site (19992000). Soil sampling was limited to a depth of 2.4 m, so if shallow groundwater existed at lower depths at other sites, it was not detected. Groundwater depths were taken as static water table depth 1 to 3 d after drilling a 4.45-cm hole 2.4 m in below the bed surface. Average postplanting groundwater depths at the Fresno County sites in early May were 1.9 m (1996), 2.15 m (1997), and 1.6 m (1998). In late October and early November, average postharvest groundwater depths at the Fresno County sites were 2.25 m (1996), 1.85 m (1997), and below 2.4 m (1998). Postplanting depths to static groundwater averaged 1.5 m (1999) and 1.65 m (2000) at the Merced County site while postharvest averages were 2.25 m (1999) and 2.1 m (2000).
Bulk Density and Moisture Release Determinations
Bulk density was determined at the same time as the spring deep soil sampling. Three replications of the 56 kg ha1 treatment at each field site were selected. Samples were collected in 0.3-cm increments to a depth of 0.9 m from two locations per plot. Bulk density was determined by a double-cylinder core method (Blake, 1965). Deep samples (0.92.1 m) were taken in 0.3-m increments to avoid soil compression. Samples were dried at 105°C and bulk density calculated. During the first year at each site, soil subsamples collected along with bulk density samples were used to determine moisture release characteristics at two levels of soil water tension (0.03 and 1.5 MPa) using a pressure plate method (Klute, 1965).
Supplemental Fertilization
Supplemental P and K fertilizer applications were made at three sites over the 5-yr period. Potassium was added when postplanting soil samples indicated exchangeable-K levels of less than 130 mg K kg1 in the 0.13- to 0.40-m depth (Miller et al., 1997). Phosphorous was applied when the soil level averaged less than 10 mg PO4P kg1 in the upper 0.45 m of the profile (Olsen and Sommers, 1982). The 1998 Shafter REC site (116 mg K kg1) and 1999 Kern County (127 mg K kg1) site received supplemental K fertilizer as K2SO4 at rates of 225 and 260 kg K20 ha1, respectively, banded at 0.20- to 0.25-m depth down the furrow center. The 1999 WS REC (9 mg PO4P kg1) site received 125 kg ha1 of triple superphosphate also as a banded application. No foliar N or K applications were made at any of the trial locations.
Root Weight Distribution
Soil samples for estimating root weight were collected from three field replicates at two sites per replication. Sampling was done in 1997 through 2000 at two sites (WS REC and Shafter REC) and at select other sites in 1997 and 1999. The hand auger samples (4.45-cm diam.) were taken in 0.15-m increments to a depth was 1.8 m at a distance of 7.5 to 15 cm away from and perpendicular to the plant row. Samples were transported in an insulated cool box and refrigerated at 4 to 6°C until analyzed. Soil samples were placed in 2.5-L containers, and adequate water was added to fully immerse the soil. After soaking 12 to 24 h, samples were poured through a 0.2-cm sieve. Roots were physically separated from remaining soil particles based on visual observation and root identification, dried at 40 to 45°C, and weighed.
Cultural Practices
Dairy waste consisting of uncomposted cow manure or cow manure plus dairy lagoon waste was spread after harvest and before listing beds before the cotton crops at the Tulare County experiment sites in 1996, 1997, and 1999 and at the Madera County sites in 1996, 1999, and 2000. Estimated total N content of those applications averaged 41 kg N ha1 (ranging from 2758 kg N ha1). These values were obtained by determining N content of three replicate samples taken after application in each field and using grower estimates of average waste application rates. Since a minimum of at least 2 mo, and as much as 5 mo, elapsed between application of dairy waste and the postplanting soil sampling, some of the organic N would have mineralized and should be reflected in the postplanting soil NO3N measurements.
Additional cultural practices were similar across locations. All fields were irrigated before planting to replenish soil water extracted by prior crops and not replenished by winter rainfall. Furrow irrigation was used at all locations. Water delivery was by siphon tubes, gated pipe, or ditch supply methods. Since soil texture, rooting depth, and therefore available soil water-holding capacity differed across sites, the total number of irrigations also differed. In-season water applications between the first and final irrigations ranged from 3 to 11. Field sites requiring only three irrigations were usually deep, finer-textured soils with higher water-holding capacity and potential for deep (1.21.8 m) rooting depths. Estimated within-season irrigation water application (not including preplant irrigation) ranged from as low as 650 mm (some sites in a low evapotranspiration year, 1998) to more than 900 mm in sandy loam soils in warm years such as 1996. Estimates of irrigation applications were made using irrigation run times and average furrow flow rates.
The plant growth regulator mepiquat chloride was applied near first bloom (generally at 15 to 16 main-stem nodes) at all but 1 (Shafter REC in 1996) of the 39 sites over the 5-yr trial. Growth regulator treatment decisions and application rates were determined using plant height, main-stem node number, and square retention counted on the first five fruiting branches. Only the first fruiting positions closest to the main stem were counted (Kerby et al., 1996). Although growth regulator application rates were different across sites and years, they were made at uniform rates across all N treatments to avoid introduction of an additional variable.
Plant Mapping and Yield
Plant vigor was monitored at most, but not all, treatment sites. Plant height, main-stem node counts, and fruit retention (as square or boll retention) (Kerby et al., 1996) were taken at approximately 2 to 3 wk before first bloom, within 1 wk before or after first bloom, 2 to 3 wk after first bloom, and at vegetative cutout. Nodes above white flower counts (Kerby et al., 1996) were added after first bloom. Fruit retention was calculated as percentage retention of flower buds (squares) and bolls on first fruiting position sites on the lowest five fruiting branches and uppermost five fruiting branches present at each measurement time.
Seed cotton was mechanically harvested with commercial-type spindle pickers. Seed cotton was weighed in the field, and 2.5-kg subsamples were taken for moisture content, percentage lint, and fiber quality measurements. The seed cotton was ginned at the University of California Shafter REC research gin and the lint, seed, and trash contents determined. Lint and seed yields were calculated and adjusted for moisture content. Although fiber quality data will not be discussed in this paper, subsamples from each field sample were sent for high-volume instrumentation (HVI) analyses.
| RESULTS AND DISCUSSION |
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The timing of and amount of irrigation water applied may impact the downward movement of NO3 in the soil profile; however, this issue was not thoroughly addressed in this study. Data collection on seasonal changes in soil water content was limited. In addition, the volume of water per irrigation was estimated from irrigation run times and average flow rates. The latter is less accurate than direct metering of applied water. However, some insight may be gained by comparing estimated applied water with soil water storage capacity. The latter was determined using soil moisture release data and gravimetric analyses of water content. Gravimetric analyses were done at selected times during the growing season (after planting but before the first irrigation, 2 to 17 d before first irrigation and within 10 d after harvest). The potential for early-season water movement through the soil profile can be evaluated by comparing after-planting gravimetric soil water content (in this case, to a depth of 2.4 m) with similar measurements taken before the first within-season irrigation (typically late May to early June) to a depth of 1.5 m. Measurement of soil water content at 30 out of the 39 site-year locations before the first irrigation (2 to 17 d before the first irrigation) indicated that there was adequate capacity to store estimated applied water from that irrigation in the upper 1.5 m of the profile. This suggests that there was limited potential for downward flow (below about 1.5 m) of water and NO3N early in the season at those sites. It is recognized that care must be exercised in interpreting these data since this approach does not consider the potential effects of preferential flow paths whereby downward movement of water could bypass some soil pores where water could be stored. At the other nine site-year combinations (Merced and Fresno Counties in 1996 and 1998, Kings County in 1996, Madera County in 1998, and Shafter REC in 1996, 1998, and 2000), soils were either lower in water storage capacity (coarser-textured soils) or had higher initial water contents. Thus, they were unable to store as much of the water from the first irrigation.
Soil water depletion from the upper 1.2 m at postharvest sampling exceeded 75% of the calculated water capacity (between 0.3 and 1.5 MPa soil water tension) in the upper 1.2 m of the soil profile at 27 of the 39 sites across the 5 yr. At the same 27 sites, soil water depletion from the 1.2- to 2.4-m zone ranged from 26 to 57%. Postharvest soil water contents in both the upper 1.2-m and 1.2- to 2.4-m zones of the soil profile were higher at the other 12 site-year combinations (Fresno and Madera Counties in 1996 and 1998; Merced County in 1998, 1999, and 2000; Tulare County in 1998; Kern County in 1998; Kings County in 1996 and 1999; and Shafter REC in 1998), particularly in the 1.2- to 2.4-m zone. Thus, in the latter situation, there would be a higher probability of water and solute leaching losses when irrigation amounts exceeded plant uptake and soil water storage capacity. These data will be discussed more fully in a subsequent paper addressing soil NO3 dynamics.
Other Forms of Soil Nitrogen
Caution must be used when basing estimates of soil N availability simply on NO3N measurements. Clearly, there are other forms of N present in the soil, the relative mix of which may be impacted by changing soil water status, temperature, and biological factors. To partially address this issue, total Kjeldahl N and NH4N were determined for comparison purposes in a more limited number of field tests (postplanting and postharvest sampling, upper 1.2-m soil profile, 1997 and 1999; data not shown). Ammonium nitrogen varied widely across soils, test sites, and years, but values were relatively low (generally 5 to <20% of soil NO3N levels) and not well correlated with total Kjeldahl N or NO3N. Treatment and location differences in Kjeldahl-N analyses were in reasonable agreement (positive correlation, r2 = 0.71) with relative NO3N values at sites where specific comparisons were made. However, Kjeldahl analyses are considerably more expensive and time-consuming and are not commonly used for soil testing in the SJV.
Impact of Plant Uptake on Soil Nitrogen Concentration
Plant uptake can also impact soil NO3 concentrations. Postharvest root mass (root fresh weight) was determined in soil cores from the upper 1.8 m at 15 sites over the 39 site-year combinations. Samples were collected between 35 and 57 d after first bloom in three replications of the 168 kg N ha1 treatment at each location (Table 4). Since the samples were collected from 4.45-cm soil cores taken at a distance of 7.5 to 15 cm perpendicular from the plant rows, they represent a limited soil volume and provide only a relative approximation of root mass. More than 92% of the root mass occurred in the upper 1.2 m of the soil profile at the Tulare County, Madera County, and Shafter REC location sites. Deeper rooting was apparent at the Kings County, Merced County, Kern County, and WS REC locations where between 9 and 21% of measured root mass occurred in the 1.2- to 1.8-m depth (Table 4). Deeper rooting depths should provide more opportunity for plants to utilize soluble nutrients moving into lower parts of the soil profile.
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As noted above, there was considerable variation in soil NO3N levels in the upper 0.6 m of the soil profile near planting time. Preplant (or immediate postplant) sampling of the upper 0.6 m of the soil profile provided a reasonable compromise between minimizing sample number for ease of collection while maintaining costs at a level acceptable by growers and consultants. When all yield responses from all years and sites were regressed against residual NO3N in the upper 0.6 m of soil plus applied N (Fig. 1), it was evident, as expected, that many factors in addition to N impact cotton lint yields across sites and years. Analyses of the combined data suggests that under present production practices, about 1500 kg lint ha1 is a practically achievable goal and that about 200 to 220 kg available N ha1 is required for such a yield from combined soil NO3N and applied-N sources. The analysis further suggests that a quantity of N equal to the spring residual NO3N level could be deducted from the quantity of applied N; however, the measure is imprecise in that it only accounts for about one-third of the total variation in yields (r2 = 0.328). Conversion of per-hectare yields to relative yields, by expressing each treatment's yield as a percentage of yield in the lowest N treatment at each site, did not significantly reduce the large degree of scatter in these data (data not shown). This analysis suggests that while residual soil NO3N measurements alone may be imprecise as an indicator of fertilizer N needs, they may have use as one of several criteria in evaluations of crop N needs and likely responses to fertilizer N.
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Other Crop Management and Environmental Factors
The partitioning of nutrients and photosynthate to developing fruit has a large effect on the amount and duration of vegetative growth in cotton (Guinn, 1982; Gerik et al., 1994). Low temperatures during early vegetative growth or very high temperatures and/or water stress during flowering or fruiting can negatively impact yield potential through direct fruit losses. In addition, the duration of active growth, eventual size of plants, and the amount of N taken up and removed from the soilplant system by harvesting can affect N availability and total crop N demand. In general, higher boll loads and higher seed cotton yields will require and remove more N from the soil system than will lower boll loads and yields (Bassett et al., 1970; Halevy, 1976; Guinn, 1982; Gerik et al., 1994).
The data set grouping of yield by residual NO3N (Table 12) was used with midbloom fruit retention data to test the hypothesis that fields most likely to respond positively to N applications would be those with lower residual soil NO3N and some indications of moderate-to-high yield potential. Fruit retention data during midbloom (1217 d after first bloom) for the 56 and 168 kg N ha1 treatments for 36 of the 39 site-year combinations are shown in Table 13. Fruit retention on the bottom five fruiting branches and square (flower bud) retention on the top five fruiting branches are shown as an indicator of the degree to which early bolls were retained and midseason squares were retained rather than aborted. The midbloom period was evaluated since prior studies in the SJV (Weir et al., 1996) indicated that this is about 7 d before the time that growers should consider the last opportunity to apply water-run or foliar N applications.
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| SUMMARY AND CONCLUSIONS |
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A meaningful reduction in N use in SJV cotton production systems will require that growers develop an integrative approach to estimating crop needs. Information on cropping history and associated N use, residual spring soil NO3N level, N supplied by irrigation water, early-season heat unit accumulation, and in-season measurements of crop N status and fruit retention, when taken together, should allow an improved assessment of crop N needs. Although agronomically it makes sense for farm managers to measure soil N status, adjust N application rates, and monitor in-season plant N status, economically the perception may be that the cost of management time and analytical services might not represent a savings compared with following the historical N fertilizer guidelines. However, increased concern for potential negative impacts of excess N applications on both the crop and the environment and real cost savings incurred by reducing N applications should make comprehensive management approaches more attractive.
| ACKNOWLEDGMENTS |
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| NOTES |
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| REFERENCES |
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