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Evaluation of a QTL for waterlogging tolerance in southern soybean germplasm.

EXCESS SOIL MOISTURE causes waterlogging (root or a portion of the shoot is submerged in water) or complete submergence, and is estimated to affect 12% of the agricultural soils in the USA (Boyer, 1982). Waterlogging can be caused by inadequate drainage of soils after intense rainfall, excessive irrigation, or from a rising water table (Scott et al., 1990). Soybean is a major crop in the Midsouth. Yield losses in soybean because of waterlogging are common in the Midsouth because of the prevalence of heavy clay soils, poor surface drainage in areas with limited slope, poor soil structure, heavy rains, and cropping practices. For example, soybean in the Midsouth is often grown in rotation with rice (Oryza sativa L.) in fields that are ideal for flooded rice production, but suboptimal for soybean. Soybean is subjected to potential waterlogging damage in these fields because of the poor surface and internal soil drainage and the use of the same waterlogging irrigation system for the rice and soybean crops.

Waterlogging can greatly reduce soybean yield. In the Midsouth, yield can be reduced 17 to 43% if soybean is subjected to waterlogging at the vegetative growth stage, while yield can be reduced by 50 to 56% if waterlogging stress occurs at reproductive growth stages (Oosterhuis et al., 1990; Scott et al., 1990). Scott et al. (1989) estimated soybean yield in Arkansas is reduced by 89 and 129 kg [ha.sup.-1] per day of waterlogging stress at the vegetative and reproductive stages, respectively. In Ohio, Van Toai et al. (1994) reported that exposure to waterlogging for 4 wk beginning at flowering reduced the yield of 84 soybean cultivars by 25%. Several researchers report that soybean yield is more affected by waterlogging stress at the reproductive stages than at the vegetative stages (Linkemer et al., 1998; Oosterhuis et al., 1990; Scott et al., 1989, 1990). Yield losses from excess soil moisture likely arise from reduced root growth, nodulation, nitrogen fixation, photosynthesis, biomass accumulation, stomatal conductance, and plant death due to diseases and physiological stress (Oosterhuis et al., 1990; Sallam and Scott, 1987a, b; Schmitthenner, 1985; Scott et al., 1990).

Increasing the tolerance of soybean to waterlogging could increase yield in soils prone to waterlogging. Some tolerance to waterlogging has been reported. Van Toai et al. (1994) reported some tolerance among soybean cultivars adapted to the northern USA. Tolerance was defined as improved relative yield under stress conditions as compared with the control condition. The tolerance they reported was not associated with yield under nonstress conditions, maturity, height, or reaction to Phytophthora sojae Kaufmann & Gerdemann, a fungal pathogen of soybean that is prevalent in wet soils. These results suggest the existence of tolerance to soil waterlogging in soybean.

Tolerance to waterlogging has been noted in other crops and appears to be quantitatively inherited (Boru et al., 2001; Setter et al., 1997; Xu and Mackill, 1996). Breeding for stress tolerance controlled by multiple genes is difficult because of low heritability, variability among stress treatments, and the difficulty of screening large numbers of progeny in field or greenhouse assays of tolerance. Marker-assisted selection could be very useful. QTL for tolerance to waterlogging have been reported in rice (Xu and Mackill, 1996) and soybean (Van Toai et al., 2001). The allele for soybean tolerance to waterlogging was found in the cultivar Archer with the SSR marker Sat_064 from linkage group G (Cregan et al., 1999). Averaged over two RIL populations and two waterlogged trials in the northern USA, RIL families with the Archer allele at Sat_064 yielded 95 % more, and were 16% taller than RIL families without the Archer allele (Van Toai et al., 2001).

Breeders realize that results from initial QTL mapping studies must be confirmed in additional genetic backgrounds and environments to assess fully the feasibility of marker-assisted selection (Reyna and Sneller, 2001). Our objectives were to evaluate the effect of this QTL on waterlogging tolerance in southern environments and genetic backgrounds, and to assess variability for waterlogging tolerance in Archer-derived populations.

MATERIALS AND METHODS Genetic Material

We created sets of NILs for the Sat_064 marker by selecting heterozygous F6 plants from populations inbred by single pod descent from the crosses 'Asgrow A5403' x Archer and 'Pioneer 9641' x Archer. The F6 populations were grown in 1996 and about 300 F6 plants from each cross were genotyped with Sat 064. Flanking markers within 10 centimorgans (cM) of Sat-064 (Cregan et al., 1999) were monomorphic for our populations and could not be used to create NILs. Seed from F6 plants that were heterozygous for Sat_064 alleles were harvested and the F6:7 families were grown in 1997. About 20 F7 plants from each segregating F6:7 were genotyped with the Sat 064 marker. F7 plants that were homozygous for the Archer-allele or the southern (A5403 or 9641) allele were selected and harvested as F7:8 families. Multiple F7:8 families with the desired homozygous genotype were identified from some F6:7 families. These F7:8 families were maintained as separate lines. Thus a NIL set consisted of several F7 derived families homozygous for the Archer allele and several families homozygous for the southern allele (Table 1). NILs were not developed from F6:7 families that had poor agronomic value due to shattering, lodging, or deviant maturity in the 1997 plots. The selected F7:8 families were grown in Costa Rica during the winter of 1997-1998. The F7:9 families were grown in Stuttgart, AR, in 1998 as part of the waterlogging tolerance study. Poor stands rendered the 1998 data unsuitable for waterlogging tolerance analysis for most lines, though some waterlogging injury data was used to make some selections (see below). Seed was harvested from the 1998 plots though and the F7:10 seed was used to plant the 1999 study while F7:11 seed was used to plant the 2000 study. In the 1999 and 2000 trials, problems with stand (e.g., plots with stands <70% of desired population and with skips), shattering, lodging, and maturity still occurred such that reliable high quality data for waterlogging tolerance was only derived from seven sets of NIL (Table 1). Data from these seven NIL sets were analyzed in this study.

In 1996, we also developed F6-derived RILs from both crosses. Several of these were grown in the failed 1998 trial, though we noted some apparently tolerant and susceptible RILs in this trial on the basis of casual waterlogging injury observations. Nine of the most tolerant and susceptible RILs were included in the 1999 and 2000 yield trials. We also included 'Hutcheson' and 'Northrup King $59-60' as yield and maturity checks. $59-60 was also thought to have some waterlogging tolerance on the basis other preliminary data. A University of Arkansas breeding line (R95-1135JH = Hutcheson/ 'A3733') and PI561388 were included in the study as they appeared tolerant on the basis waterlogging injury observations in the 1998 field. Other lines were originally in the study, including the parents A5403 and 9641, but data from these entries were deleted because of problems with stands in some trials.

Data from the 1998 and 1999 studies indicated possible segregation for waterlogging tolerance and waterlogging injury in the two crosses. In 2000, we added a study of waterlogging injury involving 101 F6 derived RILs from A5403 x Archer and 63 F6 derived RILs from 9641 x Archer. We used F6:10 seed to plant the 2000 trial.

SSR Genotyping

The Sat 064 genotype was determined by first isolating DNA from-leaves of field grown plants. Trifoliate leaves from individual plants were freeze dried and homogenized. The IsoQuick (ORCA Research Inc., Bothell, WA) kit was used to isolate DNA. The DNA was extracted by the extraction procedure described in the IsoQuick procedure with some modifications. Approximately 8 mg of freeze dried tissue was used. Step 1 of the procedure was modified by adding 100/50 [micro]L lysis solution and sample buffer mix to each microcentrifuge tube. In step 2, only 500 [micro]L of extraction matrix (reagent 2) was added to the sample lysate. After step 3, each sample was incubated in a 65[degrees]C water bath for 5 rain and then vortexed for 10 s. No other modifications were done to the procedure. DNA quantification was performed with a fluorometer with the wavelength set between 365 and 460 nm. All samples were diluted with sterile water to a concentration of 500 ng of DNA/ [micro]L or 100 ng of DNA/[micro]L depending on original concentration.

Reaction mixes for polymerase chain reaction (PCR) included: 10 ng of soybean genomic DNA, 2.5 mM [Mg.sup.+2], 0.5 [micro]M of each Sat_064 primer, 100 [micro]M of each nucleotide, 1x PCR buffer, 1 x dye, and 0.07 [micro]L of Taq DNA polymerase in a total volume of 11 [micro]L. The thermocycler program for PCR was 32 cycles consisting of a 2-min denaturation at 94[degree]C, 25-s denaturation at 94[degree]C, 25-s annealing at 47[degree]C, and 25-s elongation at 72[degree]C with a 2-min final extension at 72[degree]C. Electrophoresis was performed on a 6% (w/v) polyacrylamide gel (19:1 crosslinking ratio) with 0.5x TAE (Tris-acetate EDTA) running buffer. Ten microliters of the PCR product was loaded per lane and electrophoresis was performed for 100 min at 300 V. The gel was then stained with SYBER Green I nucleic acid gel stain (FMC Bio-Products, Rockland ME) for 10 min under dark conditions. The stained gel was visualized under UV light and photographed. Progeny were scored by comparing their banding pattern with the patterns of both parents.

Field Evaluation

Field evaluations for waterlogging tolerance based on yield and waterlogging injury were conducted at the University of Arkansas Rice Research and Extension Center (AR) at Stuttgart (Calloway silt loam, Fine smectitic, hyperthermic, Typic Aldaqualf), AR, in 1999 and 2000, and at the University of Missouri Research Center (MO) in Portageville (Tiptonville silt loam, fine-silty, mixed, thermic, Typic Argiudoll), Missouri in 2000. We used a split plot design with water treatment (waterlogged or irrigated control) as the whole plot and NIL set as the sub plot. All checks and RILs were blocked together in a subplot. NIL sets were randomly assigned to a split plot and members of a NIL set were randomly assigned to plots within a subplot. Plots consisted of four 4.2 m long rows 790 mm apart. Plots were planted on a flat soil surface, but beds 200 mm high were later formed by cultivation to facilitate furrow irrigation. Irrigated control treatments had two replications and waterlogged treatments had three replications. All plots were furrow irrigated as needed until the genotypes reached the R2 growth stage (Fehr and Caviness, 1977). At that time, levees were constructed around the whole plots that would receive the waterlogging treatment and water was applied to these whole plots until it reached 70 to 120 mm above the soil surface. The depth of the water in the waterlogged treatment varied during the treatment period because of daily evaporation, but the soil remained saturated for the entire period. The waterlogging was maintained until moderate chlorosis was noted. The waterlogging treatment lasted from 10 to 14 d. After appearance of waterlogging injury, water was drained from the waterlogged whole plots and all plots were then irrigated as needed for the remainder of the study. The control whole plots received furrow irrigation as needed while the waterlogged whole plots were inundated.

All waterlogged treated plots were visually rated for visual waterlogging injury 7 d after the waterlogging was removed. Rating was based on the extent of chlorosis and death. Plots were rated from 0 (no chlorotic or dead plants) to 9 (90% of the plants very chlorotic or dead). Plots were rated again after 14 and 21 d. Generally, symptomatic plants did not recover from the waterlogging stress and plants that showed chlorosis at 7 d were generally dead at 21 d. Data from 7 d were analyzed in this study. Plants at or near the unbordered edge of plots generally showed the most severe waterlogging injury symptoms, perhaps becaue of high water temperature of the adjacent unshaded flood water. This phenomenon had great effect on plots with poor stands, and thus more unshaded water, requiring that we delete all data from plots with weak stands (generally <75% of normal stand, or plots with skips exceeding 0.6 m) from our analyses. We rated waterlogging injury only on plants from the middle two rows of the four row plots with acceptable stands. This allowed for greater differences to be noted than rating the entire plot as plants of even the most tolerant lines would at times show extensive injury when they were located next to open water. The center two rows of each plot were harvested for yield and seed yield was adjusted to 130 g kg L moisture. Plant height (distance from soil surface to end of main stem) and date of maturity were noted on each plot but was not used in the analysis.

The large set of RILs from each population were planted irrigated, and waterlogged the same as the 2000 AR yield and waterlogging injury evaluation of the NILs described above. Plots consisted of a single 3-m row seeded with approximately 30 seeds and there were two replications per line. This study only had a waterlogged treatment and visual waterlogging injury was rated on the individual rows as described above. Data were discarded from plots with poor stands (stands <75%), or from plots whose adjacent plot(s) had a poor stand.

Data Analysis

Analyses of variance for yield and waterlogging injury were performed by SAS (SAS Institute Inc., Cary, NC, USA). Data from the NILs were analyzed separately from data from the RILs and checks. An analysis of yield data was performed over all three trial environments considering water treatment (control vs. waterlogged) and marker genotype (Archer allele at Sat_064 or allele from southern parent at Sat_064) as fixed factors while environment (the three trials), NIL sets, and replication were considered random effects. Tests of significance were performed by either the random statement of PROC GLM or by specific F tests. A similar analysis was performed for waterlogging injury but without water treatment (data collected from waterlogged treatment only). The above analyses were performed over all three trials and for just the AR trials. In addition, we performed a separate analysis for each individual NIL set, for each environment, for each NIL in each environment, and for each combination of NIL set, environment, and water treatment. The significance of waterlogging injury on the large sets of RILs was tested with an ANOVA considering family and replication as random factors. We also tested the effect of the Sat 064 marker genotype on waterlogging injury in each RIL population using a single factor ANOVA and family means. Pearson correlation coefficients among genotype means were obtained by means of the CORR procedure of SAS.

RESULTS AND DISCUSSION

The effect of waterlogging on yield was significant in all three environments. Stress was very severe in the 2000 MO test, as the waterlogged treatment reduced NIL yield from 2446 to 201 kg [ha.sup.-1] and the average waterlogging injury score was 8.2 for the NILs (Table 2). This high level of stress was due to heavy rains that occurred just as the waterlogging treatment was removed. The rainfall caused flooding and effectively prolonged the duration of the waterlogging stress by at least 1 wk resulting in excessive injury. Stress was more moderate in the 1999 and 2000 AR trials.

Marker Effects on Yield and Waterlogging Tolerance

We performed analyses of yield over environments using data sets with and without the 2000 MO data. The results with or without the MO data were very similar. In the yield analysis over all environments and NIL sets, all model effects involving the three factors NIL set, water treatment, environment, and their interactions were significant. No effects involving marker genotype were significant, except for the marker genotype x NIL set interaction. The key effect for evaluating the effect of the Sat 064 marker on tolerance to waterlogging is the marker genotype x water treatment interaction and this was not significant (P > 0.05). This indicates that the relative yield of NILs with and without the Archer allele at Sat_064 was not affected by water treatment.

We also analyzed yield for each NIL set separately to evaluate further the marker effect in different genetic backgrounds. Marker genotype x water treatment interaction was only significant (P < 0.05) for NIL set 2, suggesting some effect of the Sat_064 on waterlogging tolerance in this NIL set. This interaction for NIL set 2 though appears to be from the members of the NIL set with the Archer allele having a greater yield advantage over the members with the southern allele in the control treatment than in the waterlogged treatment (Table 3). The data (Table 3) suggest that there may be a yield advantage in waterlogged conditions for the southern (A5403) Sat_064 allele in NIL set 1. The marker genotype x treatment x environment interaction was significant only for this NIL set. The yield advantage of the southern allele was quite large in the AR environments for NIL set 1 (Table 3), but essentially nonexistent in the MO waterlogged environment (232 vs. 336 kg [ha.sup.-1] for the Archer and southern NIL members, respectively). It is possible that the stress level at the MO environment was too great for expression of tolerance.

The seven sets of NILs were tested in three environments, providing 21 evaluations of the Archer QTL. The marker genotype x water treatment interaction was significant in only three (NIL sets 1, 2, and 4 at 2000 AR) of the 21 tests. In 11 of the 21 comparisons, the NIL members with the Archer allele yielded numerically better under waterlogging than the NIL members without the Archer allele (average advantage of 32%) and this advantage was significant for four comparisons (NIL set 2 in MO 2000, and NIL set 4 in each trial). The Archer members of NIL sets 2 and 4 also had a numerical yield advantage over their southern counterparts in the control treatments, so it is not clear that their repeated yield advantage in waterlogged plots is due to waterlogging tolerance per se, or to a general yield superiority expressed in either water treatment. In seven of the 21 comparisons the NIL members with the southern allele yielded better under waterlogging than their NIL counterparts with the Archer allele. The average yield advantage imparted by the southern allele in these seven contrasts was 49%, though this was primarily due to a large yield advantage expressed in for NIL set 1 in AR 2000, as the average yield advantage of the southern allele in the other six contrast was only 12.8%. While this detailed analysis revealed a few instances suggesting some waterlogging tolerance associated with the Archer allele at Sat_064, the overall conclusion must be that the effect of the Archer allele at Sat_064 on waterlogging tolerance is either nonexistent, or it is small, difficult to detect, and expressed inconsistently in these trials.

It is possible that the AR tests did not provide enough stress for proper expression of the Archer waterlogging tolerance QTL allele (Table 2). The original mapping of the Archer QTL allele for waterlogging tolerance indicated that lines with the Archer allele at Sat_064 suffered a 73% yield reduction from waterlogging while those without the Archer allele suffered a 79% reduction (Van Toai et al., 2001). This level of stress is closer to that of the MO 2000 environment of this study (Table 2) than the AR environments. The Sat_064 marker genotype x water treatment interaction was not significant for yield at the Missouri test and marker genotype had no significant effect on waterlogged yield or waterlogging injury. In the Missouri trial, the average yield of

the NILs without the Archer allele (201 kg [ha.sup.-1]) was 26.4% lower than the NIL with the Archer allele (254 kg [ha.sup.-1]), a difference very similar to that reported by Van Toai et al. (2001). Still the advantage of 54 kg [ha.sup.-1] imparted by the Archer marker in the MO 2000 trial was not statistically or agronomically significant.

Marker Effect on Flood Injury

Visual rating of waterlogging injury was also used to assess waterlogging tolerance. Waterlogging injury was significantly correlated with yield under waterlogged conditions on the basis of the NIL data from all environments (r = -0.97) or just Arkansas (r = -0.92), but was not correlated to yield from control plots. No model effect involving marker genotype was significant for waterlogging injury in an analysis of data from all environments and NIL sets. The average waterlogging injury of NIL members with and without the Archer allele at Sat_064 were nearly identical (Table 3). No significant difference was observed between lines with and without the Archer allele when the waterlogging injury was analyzed separately for each NIL set using all the data or just the Arkansas data. The average waterlogging injury data for each NIL set (Table 3) indicates that any difference between NIL members with the southern or Archer allele at Sat_064 is small and the effect was inconsistent across genetic backgrounds.

There are several possible reasons why the Archer allele at Sat_064 did not affect waterlogging tolerance in this study. Recombination between the marker and the QTL, as well as epistasis, may have nullified the effect of the Archer Sat_064 marker allele on waterlogging tolerance. Polymorphic flanking markers to monitor recombination in this region were not available when this research was conducted so only one marker was used to select the NILs. If recombination or epistasis occurred then we would expect to see the effect of the marker in some NIL sets as each represents a unique genetic background from sampling of recombinant gametes. There is little evidence that stress tolerance associated with either marker alleles in any NIL as shown by the nonsignificant marker genotype x water treatment interaction for most NILs. There did seem to be some yield advantage in waterlogged environments associated with certain Sat_064 alleles in certain NIL sets, though this advantage was not expressed consistently over environments (see the southern allele and NIL set 1) or appeared to be associated with a yield advantage in the control treatments as well (see the Archer allele in NIL sets 2 and 4). Thus, while epistasis and recombination cannot be ruled out as explanations for a lack of association of waterlogging and the Sat_064 marker, they seem unlikely. It seems more likely that the Archer waterlogging tolerance allele near Sat_064 simply did not improve waterlogging tolerance in the southern environments and relative to the southern alleles at Sat_064. The study cannot identify which of these two causes are more likely, but does indicate that selection for this marker may not universally improve waterlogging tolerance for southern breeders.

Evidence for Waterlogging Tolerance in RILs and Checks

It is important to note that NIL set x water treatment interaction was significant for yield, and that some NIL sets had less waterlogging injury than others. NIL set 2 appeared quite susceptible to waterlogging with an average waterlogging injury of 7.8 and an 82 % reduction in yield due to waterlogging (Table 3). In contrast, NIL set 3 had an average waterlogging injury of 4.0 and suffered only a 39% yield reduction from waterlogging. These results indicate that there was genetic variation for waterlogging tolerance in the A5403 x Archer and 9641 x Archer populations, but the Sat_064 did not model any of this variation.

Data from the checks and RILs in the yield study were analyzed separately from the NIL data. Data was again analyzed with and without the 2000 MO data. For yield, the effects of environment, water treatment, genotype, and the interaction among these factors were significant in both analyses.

For yield, the genotype x water treatment interaction was significant, indicating difference in tolerance to waterlogging among these genotypes. Genotype differences were also significant for waterlogging injury. Yield under waterlogged conditions and waterlogging injury were not significantly (P > 0.05) correlated (r = -0.22) when averaged over all three tests, but were highly correlated in the data from only Arkansas (r = -0.92). Tolerant and susceptible RILs from each population were observed. Tolerant RILs were 91209-284 and 91210-350, while 91209-293 and 91210-365 appeared quite susceptible on the basis of yield and injury in the Arkansas only data (Table 3).

A large set of RILs from the crosses A5403 x Archer and 9641 x Archer was evaluated for waterlogging injury only in 2000 Arkansas. The effect of genotype was significant for each population, indicating that each was segregating for genes controlling the extent of waterlogging injury. Lines with low (<2) injury levels were noted m the A5403 x Archer population (Fig. 1) while no lines in the 9641 x Archer population had average injury scores less than 3. Both populations had RILs with high injury scores. Both of these populations also produced tolerant and susceptible RILs based on yield analysis of tolerance (Table 3). Variation for waterlogging injury was not significantly associated with Sat_064 genotype of the RILs in either population.

The yield and waterlogging injury data from the RIL populations indicate that these populations segregate for waterlogging tolerance. While Sat_064 did not model this variation, it appears that selection for improved waterlogging tolerance would be possible. Several of the RILs selected as tolerant or susceptible in the 1998 preliminary trial were similarly classified in the 1999 and 2000 trials. The correlation of waterlogging injury and waterlogged yield suggests that more tolerant lines could be selected from both populations, perhaps by testing families for waterlogging injury in early generations.

Abbreviations: NIL, near isogenic lines; QTL, quantitative trait loci; RIL, recombinant inbred lines; SSR, simple sequence repeat.
Table 1. Pedigree and composition of near isogenic soybean line sets
for the Sat_064 marker.

                                  Number of NIL set members
                                       homozygous for

                             Archer allele    A5403 or 9641 allele
NIL set       Pedigree        at Sat_064          at Sat _064

1          A5403 x Archer          1                   1
2          A5403 x Archer          1                   2
3          A5403 x Archer          1                   2
4          A5403 x Archer          3                   5
5          9641 x Archer           2                   5
6          9641 x Archer           4                   4
7          9641 x Archer           4                   2

Table 2. Average yield and waterlogging injury of soybean near
isogenic lines of the three test environments for evaluating
waterlogging tolerance.

                              Yield          Percent
                                              yield     Waterlogging
Test                    Control   Flooded   reduction      injury

                        --kg [ha.sup.-1]--                  0-9

1999 Stuttgart, AR       3823      3185        17%          3.8
2000 Stuttgart, AR       3151      1586        50%          3.5
2000 Portageville, MO    2446       228        91%          8.2

Table 3. Yield and waterlogging injury soybean near isogenic lines
(NIL), checks, and other lines test in Missouri (MO) and Arkansas
(AR).

                                          MO + AR
                                 Yield
                                            Percent yield  Waterlogging
                          Control  Flooded    reduction       injury

                                 --kg [ha.sup.-1]--            0-9

NIL sets
  1-Archer [dag-
    ger]]                  3516     1133         89            7.5
  1-Southern               3404     1903         61            5.6
  2-Archer                 3111      578         81            7.7
  2-Southern               2607      477         82            7.8
  3-Archer                 3077     1922         38            4.3
  3-Southern               3151     1922         39            3.6
  4-Archer                 3319     1942         41            4.5
  4-Southern               3111     1384         56            5.3
  5-Archer                 3084     1626         47            4.7
  5-Southern               3252     1841         43            4.6
  6-Archer                 2990     1854         38            4.9
  6-Southern               2835     1666         41            4.8
  7-Archer                 3272     1566         52            5.0
  7-Southern               3239     1438         56            5.4
  Average Archer           3161     1406         55            5.5
  Average Southern         3039     1419         54            5.3
RILs and checks
  912091 [double
    dagger]-104            3333     1767         47            4.3
  91209-284                3440     1915         44            2.3
  91209-293                2224      685         69            6.5
  91210-301                3467      685         80            4.8
  91210-350                3527     1559         55            1.5
  91210-352                3440     1183         65            3.6
  91210-365                3662     1559         57            7.4
  91210-369                3144     1619         48            6.8
  91210-400                3548     2244         37            3.9
HUTCHESON                  3897     1230         68            5.6
S59-60                     3077      611         80            4.8
P1561.388                  4078     1458         64            5.7
R95-1135JH                 3756      968         74            3.2
RIL and check average      3430     1345         61            4.6

                                          AR Only
                                 Yield
                                            Percent yield  Waterlogging
                          Control  Flooded    reduction       injury

                                 --kg [ha.sup.-1]--            0-9

NIL sets
  1-Archer [dag-
    ger]]                  3616     1579         86            7.0
  1-Southern               3609     2687         44            4.3
  2-Archer                 3397      863         75            7.2
  2-Southern               3244      780         76            7.0
  3-Archer                 3203     2521         21            3.4
  3-Southern               3575     2535         29            2.3
  4-Archer                 3643     2700         26            2.9
  4-Southern               3556     1962         45            3.9
  5-Archer                 3329     2273         32            3.0
  5-Southern               3387     2547         25            3.0
  6-Archer                 3251     2597         20            3.4
  6-Southern               3182     2293         28            3.4
  7-Archer                 3765     2209         41            3.4
  7-Southern               3771     2041         46            3.9
  Average Archer           3358     1984         41            4.3
  Average Southern         3433     1948         43            4.0
RILs and checks
  912091 [double
    dagger]-104            3790     2237         41            2.3
  91209-284                3642     2237         39            1.8
  91209-293                3877     1277         67            6.0
  91210-301                3554     1384         61            4.0
  91210-350                3447     2331         32            1.3
  91210-352                3454     2036         41            3.2
  91210-365                3769      880         77            6.8
  91210-369                3521      941         73            5.5
  91210-400                3823     2130         44            2.0
HUTCHESON                  4119     1767         57            4.0
S59-60                     4199     2137         49            3.0
P1561.388                  2862      914         68            4.8
R95-1135JH                 2903     2123         27            1.5
RIL and check average      3612     1723         52            3.6

[dagger] The number refers to the NIL set while the name refers to
the homozygous genotype at the Sat-064 marker.

[double dagger] Lines with a prefix of 91209 are derived from the
cross A5403 x Archer and lines with the 91210 prefix are derived
from the cross 9641 x Archer.


ACKNOWLEDGMENTS

Salaries and research support provided by state and federal funds appropriated to the Arkansas Agricultural Experiment Station, Ohio Agricultural Research and Development Center, The Ohio State University as well as funding from the United Soybean Board.

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N. Reyna, B. Cornelious, J. G. Shannon, and C. H. Sneller *

N. Reyna and B. Cornelious, Dep. Crop, Soil and Environmental Science, Univ. of Arkansas, Fayetteville, AR 72701; J.G. Shannon, Dep. of Agronomy, Univ. of Missouri Delta Center, Portageville, MO 63873; C.H. Sheller, Dep. Horticulture and Crop Science, The Ohio State Univ., Wooster, OH 44691.24 May 2002. *Corresponding author (sneller.5@osu.edu).
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Title Annotation:Crop Breeding, Genetics & Cytology
Author:Reyna, N.; Cornelious, B.; Shannon, J.G.; Sneller, C.H.
Publication:Crop Science
Date:Nov 1, 2003
Words:5510
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