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Dep. of Agronomy, Univ. of Wisconsin, 1575 Linden DriveMoore Hall, Madison, WI 53706
* Corresponding author (jglauer{at}facstaff.wisc.edu)
| ABSTRACT |
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Abbreviations: NIRS, near infra-red reflectance spectroscopy
| INTRODUCTION |
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No significant breeding effort to improve corn forage yield or quality attributes has been undertaken by corn breeders. However, corn grain yields in the U.S. have increased from approximately 1.3 Mg ha-1 in 1930 to 8.7 Mg ha-1 in 1994 (Troyer, 1999). Before 1930, average grain yields were static because no yield gains were realized from breeding advances or changes in management practices. Since 1930, steady grain yield increases have occurred due to the use of improved hybrid cultivars, increased use of fertilizers, better weed control, higher plant densities and improved management (Cardwell, 1982). Gain in grain yield over time is well documented and ranges from 0.078 to 0.110 Mg ha-1 yr-1 (Hallauer et al., 1988).
Newer improved cultivars have increased grain yield because of continued improvement in genetic potential and adaptation to improved cultural practices (Olson and Sander, 1988). For example, newer cultivars compared with cultivars of the 1930s have greater yields at all plant densities, but especially at high densities due to decreased bareness of newer cultivars. Improvement for resistance to root and stalk lodging has occurred to permit machine harvesting. Newer cultivars are superior to older cultivars regardless of soil fertility level (Castleberry et al., 1984; Duvick, 1984).
Concepts of nutritive value of corn forage reflect ruminant requirements. Desirable forage characteristics include high dry matter yield, high protein concentration, high energy concentration (high digestibility), high intake potential (low fiber concentration), and optimum dry matter concentration at harvest for acceptable forage fermentation and storage (Carter et al., 1991). The most limiting constraint on nutritional value of corn forage is low protein concentration, and feed rations usually require a nitrogen supplement to satisfy rumen microbial requirements. Forage yields have increased at the rate of 0.13 Mg ha-1 yr-1 from 1.9 Mg ha-1 in 1950 to 6.5 Mg ha-1 in 1990 (Coors and Lauer, 2000). Corresponding changes in forage quality are not known. Retrospective analyses of genetic yield and quality improvement may provide an understanding of potential and indicate pathways for future yield and quality improvement. The objective of this study was to describe forage yield and quality changes of representative cultivars used by northern Corn Belt farmers since 1930.
| MATERIALS AND METHODS |
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At harvest, one row was stripped of ears. Forage moisture and kernel milkline was assessed to provide an estimate of plant development (Wiersma et al., 1993). Each row was mechanically harvested using a one row, tractor mounted forage chopper (New Holland 707, New Holland, PA) and measured for yield. A 1-kg subsample was collected for moisture and quality measurements. Samples were ground to pass through a 1 mm screen.
The near infra-red reflectance spectroscopy (NIRS) broad based prediction equations for determining forage composition were developed through evaluations of a large number of corn cultivars by the corn breeding project and the corn agronomy program in the UW Department of Agronomy during 1992, 1993, 1995, and 1996. Replicated forage trials were conducted at numerous locations throughout Wisconsin. Forage samples from each plot were collected at approximately 65% forage moisture. Forage samples and stover samples were collected from approximately 25 plants for each sample in each plot. Samples were oven dried at 60°C for approximately 7 d, and then ground with a hammer mill to pass a 1-mm screen. Each year, all samples were scanned using a NIRSystems 6500 near-infrared reflectance spectrophotometer (Marten et al., 1985).
Standard NIRS procedures were used to select calibration sets for broad based prediction equations for wet laboratory analyses (Martens and Naes, 1989; Shenk and Westerhaus, 1991; 1994). Samples (0.75 g) from each calibration set were analyzed for neutral detergent fiber, acid detergent fiber, in vitro true digestibility, and crude protein. A modification to the neutral detergent fiber procedure was the treatment of samples with 0.1 ml of alpha-amylase during refluxing and again during sample filtration (Mertens, 1991). Total nitrogen was determined using a Leco Model 428 nitrogen analyzer (Dumas method). Crude protein was calculated by multiplying total nitrogen (Bremner and Breintenbeck, 1983) by 6.25. All compositional data were calculated on a dry matter basis. Duplicate 0.25-g samples were used to determine in vitro true digestibility by a modification of the method of Goering and Van Soest (1971). The 48-hour fermentation was performed in centrifuge tubes (Tilley and Terry, 1963; Marten and Barnes, 1980; with inoculum enrichment of Craig et al., 1984), except that buffer and mineral solutions were as described by Goering and Van Soest (1971). After removal from the incubator, tubes were placed in a freezer. Undigested residue was subjected to the NDF procedure as described previously.
The calibration sets from 1992, 1993, 1995, and 1996 were combined in order to provide a single broad based calibration set for forage composition. Stover prediction equations were based on calibrations performed in 1992 and 1993 because broad based stover evaluations were discontinued in subsequent years. From the data obtained in the laboratory, prediction equations were developed relating NIR wavelengths to each of the quality variables (Shenk and Westerhaus, 1991, 1994). Criteria used to select equations were high coefficients of multiple determination and low standard errors of calibration and cross validation. Modified partial least square (PLS) analyses were used to determine the wavelengths to include in calibrations (Martens and Naes, 1989). Statistics relating to NIRS prediction are provided in Table 2.
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The calculated performance indices of bovine Milk Mg-1 (kg milk Mg-1 of corn forage) and Milk ha-1 (kg milk ha-1 of corn forage) were used to evaluate the economic trade off between cultivars (Undersander et al., 1993). Milk Mg-1 was predicted using in vitro true digestibility, crude protein, and neutral detergent fiber values from equations used to calculate feed intake and animal requirements for a standard dairy cow with 613 kg of body weight producing 36 kg of milk per day at 3.8% fat. Milk ha-1 is the product of Milk Mg-1 and dry matter yield of corn forage.
Data were analyzed with Proc GLM (SAS Institute, 1995). Linear regression analysis (Proc REG) was used to examine the relationship between various forage and stover yield, quality and performance index measurements, and the era of release. Cultivars from each era were averaged for yield, quality, and performance indices and regressed as dependent variables on the midpoint of the appropriate eras as independent variables (year 0 = 1930). Open-pollinated cultivars were grouped and set to 1930. Regression coefficients were described when significant (P
0.05).
| RESULTS AND DISCUSSION |
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Mean forage yield and quality performance of all cultivars for 1997 and 1998 is shown in Table 1. Cultivar effects were significant for all forage yield and quality measures. Lowest forage yield, in vitro true digestibility, and greatest acid detergent and neutral detergent fiber concentration were found in open-pollinated cultivars, while converse levels for these variables were found in modern cultivars. For example, the older open-pollinated cultivar, "Silver King," produced a forage yield of 7.9 Mg ha-1 and the more recent cultivar, "Pioneer 3394," yielded 24.8 Mg ha-1. The range in forage dry matter yield among cultivars in the early- and late-maturity trials was 15.8 and 16.9 Mg ha-1. Cultivar development differences can be estimated using kernel milkline and forage moisture. The range in kernel development was 60 and 20% kernel milk for the early- and late-trials. The range in forage harvest moisture was 78 and 137 g kg-1 for the early- and late-trials. In Wisconsin environments, forage moisture decreases about 5 g kg-1 d-1 during September, while kernel milk decreases about 25% every 6 to 7 d (Wiersma et al., 1993).
Cultivar effects were significant for all stover yield and quality measurements, except stover in vitro true digestibility (Table 3). The range in stover moisture was 119 and 112 g kg-1 for the early- and late-maturity trials.
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More recent era groups produced higher forage yields than older era groups, with the exception of the late-maturity 19611975 group. More recent corn cultivars showed a consistent improvement in yield over older corn cultivars in this study. The apparent yearly rate of forage yield increase due to genetic improvement was positive and characterized by high coefficients of determination (Fig. 1 and Table 4). Forage yield has increased 0.128 to 0.164 Mg ha-1 yr-1 since 1930 depending upon trial maturity. Stover dry matter yield has increased at a slower rate of 0.043 to 0.054 Mg ha-1 yr-1. Forage, stover and ear yield have increased from 1930 levels at the rate of 1.4, 0.7 and 2.4% yr-1, respectively. Other workers have reported forage yield increases of 0.5% yr-1 (Meghji et al., 1984) and -0.1 to 0.6% yr-1 or -0.02 to 0.08 Mg ha-1 yr-1 (Barriere et al., 1987).
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Stover quality effects, where significant, went in opposite directions compared to forage quality effects (Fig. 1 and Table 4). In the early-trials, neutral detergent fiber concentration of stover increased over time at the rate of 0.296 g kg-1 yr-1. In the late-trials, stover in vitro true digestibility decreased 0.166 g kg-1 yr-1. The most likely reason why little change has occurred to stover quality over time is lack of attention by breeders for stover improvement. It is easier for breeders to select for yield or quality improvement, but difficult to breed for both.
Forage quality predicted using the animal response model of Milk Mg-1 forage has improved at the rate of 2.76 to 3.15 kg milk Mg-1 yr-1 (Fig. 1 and Table 4). When combined with forage yield increases over time, corn forage Milk ha-1 has increased 132 to 179 kg milk ha-1 yr-1.
Averaging data across all trials (data not shown), corn forage yield has increased over time at the rate of 0.15 Mg ha-1 yr-1 (R2 = 0.90) with stover yields increasing at the rate of 0.048 Mg ha-1 yr-1 (R2 = 0.93). Forage crude protein concentration has not changed significantly since 1930. Over time, forage neutral detergent fiber concentration has decreased 0.89 g kg-1 yr-1 (R2 = 0.81), while forage in vitro digestibility increased 0.58 g kg-1 yr-1 (R2 = 0.82). Stover neutral detergent fiber concentration and in vitro digestibility have not changed over time. Overall forage quality, as measured using Milk Mg-1 forage, has improved at the rate of 3.0 kg milk Mg-1 forage yr-1 (R2 = 0.82), and when combined with yield increases over time has resulted in a gain of 156 kg milk ha-1 yr-1 (R2 = 0.92).
The economic benefits from improving corn forage quality can be substantial. Over the last 70 years, increases in corn forage yield and quality can be attributed to increased grain yield. Grain is nearly completely digestible, thus lowering fiber concentration and increasing digestibility. Little change has occurred in the quality of the stover portion of corn forage cultivars available in the northern Corn Belt. Breeders of other forage crops have been quite successful in improving both yield and nutritive value, and the molecular basis of nutritional attributes is becoming clearer in corn as well. Recent renewed interest in corn forage cultivars has resulted in the commercial production of brown mid-rib (Miller et al., 1983) and leafy (Dwyer et al., 1998) cultivars. These cultivars represent divergent directions for the corn forage ideotype. It is unclear whether corn breeders should focus on improving cultivar quality using these alternative ideotypes or if continued progress can be made with conventional cultivar development.
Received for publication June 21, 2000.
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