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a INRA, Unité de Génétique et d'Amélioration des Plantes Fourragères, 86600 Lusignan, France
b Fédération Nationale des Agriculteurs Multiplicateurs de Semences, 86600 Lusignan, France
* Corresponding author (huyghe{at}lusignan.inra.fr)
| ABSTRACT |
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Abbreviations: Y0, seeding year Y1, first year of regrowth Y2, second year of regrowth
| INTRODUCTION |
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Genetic diversity for seed yield and seed yield components in alfalfa was described between and within populations by Bolaños-Aguilar et al. (2000). Similarly, genetic variation was identified for pollen fertility (Viands et al., 1988), ovule fertility (Rosellini et al., 1998), and ease of tripping (Knapp and Teuber, 1994), traits that influence seed yield. However, the actual seed yield improvement achieved in breeding has been limited, as these characters are not easy to measure on large numbers of plants and are not the only limiting factors of seed yield in dense canopies.
Alfalfa seed yield also depends to a great extent upon environmental conditions and agronomic practices. Abu-Shakra et al. (1977) showed that seed yield was significantly affected by the number of forage harvests prior to seed production, and this effect was mainly associated with variation in the number of fertile stems per plant and pods per raceme. Abu-Shakra et al. (1969) and Askarian et al. (1995) reported similar effects as a consequence of different row spacings. In dry environments, Abu-Shakra et al. (1969) and Taylor and Marble (1986) have shown that frequent irrigation was beneficial to seed yield, as it resulted in more pods per inflorescence. However, Hutmacher et al. (1991) pointed out that an excessive water supply may lead to excessive vegetative growth and therefore be detrimental to seed production, possibly through a reduction in the degree of tripping (Goldman and Dovrat, 1980). Steiner et al. (1992b) established that water replacement of 70% of accumulated evapotranspiration was optimal for seed production. Increasing amounts of water increased the number of racemes, but decreased the number of pods per raceme.
Boçsa and Buglos (1983) suggested that a high number of seeds per pod combined with high self-compatibility were the most important selection criteria for high seed yield. Hacquet (1990) found a positive correlation between seed yield and number of seeds per pod across 46 experimental conditions combining cultivars and environments. Taylor and Marble (1986) reported a positive correlation between seed yield and seeds per pod among environments differentiated primarily by water supply. In contrast, Askarian et al. (1995) and Kowithayakorn and Hill (1982) found that the number of seeds per pod was an unimportant yield component, when the principal source for yield variation was plant density. Genter et al. (1997) showed that the number of seeds per pod was significantly reduced by plant defoliation at flowering, though the effect was small (4.1 seeds vs. 4.5 for the nondefoliated control plants).
The objective of this study was to identify characteristics induced either by environmental or genetic factors that explain seed yield variation in alfalfa.
| MATERIALS AND METHODS |
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Characters Scored
Flowering date was scored on each plot when 50% of the stems had one flowering inflorescence. Lodging was scored during the flowering period on a scale from 1 (no lodging) to 5 (fully lodged).
Prior to harvest, 30 well-podded inflorescences from 30 main stems were sampled from each plot, and the number of pods per inflorescence was counted. The inflorescences were dried at 40 °C until their weight was stable, or
72 h. The first two pods from these inflorescences were threshed and the seeds counted and weighed. From these data, the mean seed weight and the number of seeds per pod was calculated. The remaining inflorescences were threshed and the seeds weighed. By recombining with the seed weight measured on the first sample, total seed weight per inflorescence was calculated.
After harvesting the remainder of the plot with a combine harvester, the total vegetative phytomass was collected in each plot and its dry matter content estimated on a subsample of 500 g dried at 80 °C for 48 h. The seeds were dried, cleaned, sieved, and weighed. The total aboveground phytomass was calculated from the dry matter collected at the back of the combine, the seeds, and impurities. Harvest index was calculated as the ratio of seed yield to total aboveground phytomass at harvest.
Statistical Analyses
Analyses of variance were performed using the GLM procedure of SAS (SAS Institute, 1988). The first analysis included cultivars, locations, years, and their interactions in the model. Across all locations and years, the experimental design was analyzed as a split-plot, with locations as main plots. The location effect was tested against the blocks-within-locations mean square. A pooled error term for testing cultivars, years, and their interactions was formed from interactions of blocks. As the location x year interaction was significant for all traits, each location x year combination was later considered as one environment in subsequent analyses. Variance components were calculated using the VARCOMP procedure of SAS and the restricted maximum likelihood method. The standard error of variance component g was calculated (Becker, 1975) as
![]() | [1] |
2g in the expected mean squares. Broad-sense heritabilities (h2) were estimated as
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2g is the genetic variance,
2ge is the cultivar x environment interaction variance, and
2 is the residual variance. The standard error of these heritabilities was calculated (Becker, 1975) as
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2p is the phenotypic variance. Phenotypic correlations were calculated from the means across the three blocks for each cultivar x environment combination. Genetic correlations were calculated from variance-covariance matrices obtained by the MANOVA statement of the GLM procedure (SAS Institute, 1988) for the cultivar effect and cultivar x environment interaction. Correlations across environments were calculated from the variance-covariance matrices obtained by MANOVA statement of the GLM procedure for the environment effect, the cultivar x environment interaction, the blocks-within-environments effect, and the residual term.
The Wricke's ecovalence parameter was used as a measure for phenotypic stability of any given cultivar (Wricke, 1962). Joint regression analysis of cultivar x environment interaction for seed yield was performed according to Finlay and Wilkinson (1963).
| RESULTS |
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The flowering dates of the control cultivar Europe are given in Table 4. Flowering occurred earlier in Etoile in Y1 and Y2 as a consequence of the omission of clipping at this location. At Condom in 1998, clipping was performed early in the season, and therefore the crop flowered early.
Environment and Cultivar Effects
Seed yields averaged 801 kg ha-1 (Table 5), which is higher than the average commercial seed yields in France (450 kg ha-1, J. Hacquet, 2000, personal communication) but similar to seed yields achieved in areas most suited for seed production. The year effect was significant for all traits except mean seed weight and lodging score, while the location effect was significant for all traits except lodging score (Table 5). The year x location interaction was always significant. The effect of year on seed yield was strong, as seed yields were lower in Y0 than in Y1 and Y2. The lowest yields were for two Y0 crops, in Lusignan and Condom, while much higher yields were achieved in three environments, that is, Etoile in Y1 and Y2 and Condom in Y1 (Table 4). Aboveground phytomass varied in a similar manner. The cultivar x year interaction was significant for seed yield, harvest index, and mean seed weight, but very small in comparison with the main effects.
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Total aboveground phytomass at harvest was highly variable among environments, from 2.4 to 11.3 Mg ha-1, but it did not vary much between cultivars. However, the harvest index varied with both environments and cultivars, with an average value of 12.7% and a range of 7 to 18%.
Seed weight per inflorescence averaged 155 mg and varied from 110 to 224 mg among cultivars. Variation for mean seed weight and number of seeds per pod was more narrow than for seed weight per inflorescence, and both varied similarly as a consequence of environments and cultivars.
Variance components for the different random effects are given in Table 6. For all traits except the number of pods per inflorescence, the environmental variance exceeded the genetic variance. This was especially true for aboveground phytomass at harvest, for which the environmental variance was 90 times larger than the genetic variance.
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Cultivar x Environment Interaction
The genetic variance was three times greater than the interaction variance for seed yield. The ecovalence parameter indicated one high yielding cultivar, Radius, and one low-yielding cultivar, Coussouls, contributed mostly to the interaction. Among environments, the highest yielding (Etoile in Y1 and Y2, and Condom in Y1) and the lowest yielding (Lusignan in Y0) contributed most to the interaction. All three environments without clipping significantly contributed to the interaction. Joint regression analysis showed that, for each cultivar, there was a high correlation between mean seed yield in a given environment and the performance of the cultivar in this environment. Indeed, the R2 of the joint regression varied from 0.89 for Coussouls to 0.99 for Bella. The slopes of the regression varied from 0.55 for Coussouls up to 1.29 for Radius.
Trait Correlations
At the phenotypic level (Table 7), the correlation between seed yield and harvest index was significant but moderate (r = 0.55). The correlation was high at the genetic level, but low at the environmental level. Thus, variation in seed yield among cultivars in a given environment was related to variation in harvest index. This relationship may be partly related to the lodging. Indeed, the genetic correlation of lodging score with seed yield and harvest index were -0.89 and -0.93, respectively. Across environments, the major source of variation in seed yield was the total aboveground phytomass present at harvest (r = 0.94). Differences in aboveground phytomass between environments was possibly due to differences in leaf area. The presence of high yielding environments (Etoile in Y1 and Y2, and Condom in Y1) strengthened this correlation. The environmental correlation between aboveground phytomass and seed yield remains high even when the Y0 data were removed (r = 0.93). The genetic correlation between seed yield and total aboveground phytomass was high (r = 0.79).
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| DISCUSSION |
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For those cultivars with high seed yield potential, the cultivar Radius originated from a breeding program targeting good pod set at low temperatures. The experimental population Lp2507, which yielded similarly to Radius, possesses the long peduncle mutation controlled by a single recessive gene (Bodzon, 1998). This trait could positively contribute to high seed weight per inflorescence.
Variation in seed yield among cultivars was predominantly related to variation in harvest index, as expected since harvest index is calculated from seed yield. Genetic improvement of alfalfa seed yield through a higher harvest index is similar to the objectives in cereal breeding (Donald, 1968) or in grain legume breeding (Huyghe, 1998). The mean harvest index found in the present study (12.7%) was similar to values of 13.6 to 14.4% found by F. Lelièvre (1996, unpublished data) among agronomic treatments. At the genetic level, seed yield was positively correlated with total aboveground phytomass at harvest (e.g., r = 0.79, Table 7). However, it is not possible to draw any conclusion on the relationship between seed production and forage production. Indeed, phytomass at seed harvest also includes seed yield.
Among environments, variation in seed yield was predominantly related to the potential for aboveground phytomass production. Few data are available in the literature to corroborate this relationship. It is interesting that average seed yields achieved in the year of sowing tended to be lower than in the following seasons, as the aboveground phytomass in the year of sowing is usually lower due to lower photosynthetic capacity and poorer crown and root development (Gosse et al., 1988; Khaiti and Lemaire, 1992). This relationship was observed across a range of variation from 2.4 to 11.3 Mg ha-1 of aboveground phytomass at harvest, even though these experiments were optimized for seed production (row spacing and sowing density), pollination, and lodging prevention. If confirmed, the implications of this relationship in terms of agronomic practices would be numerous, especially for defining optimum clipping date and pest control practices. Thus, it seems that both genetic background and agronomic practices may be used to improve seed yield. Indeed, both a higher aboveground phytomass achieved with optimization of agronomic practices and a higher harvest index achieved through choice of cultivar can be combined in seed production.
Seed weight per inflorescence seems to be a reasonable breeding goal for seed yield breeding in alfalfa. This trait showed high broad-sense heritability, high genotypic correlation with seed yield and harvest index, little interaction between cultivars and environments, and it was strongly influenced by the experimental population carrying the long peduncle mutation. No interaction was detected between cultivars and years. Thus, seed weight per inflorescence could be measured in the planting year as an early assessment of yield potential. We calculated the seed weight per inflorescence for each cultivar across the four locations in the planting year. This value showed a significant correlation with mean seed yield in Y1 and Y2 (r = 0.80, P
0.01), with wide genetic variation for seed weight per inflorescence among the material included in this study. A much wider range of variation was detected among and within populations (Bolaños-Aguilar et al., 2000). Variation in seed weight per inflorescence among environments and cultivars was related both to variation in number of pods per inflorescence and in number of seeds per pod, not to variation in mean seed weight. The seed weight per inflorescence can thus integrate both sources of variation.
In conclusion, higher yielding cultivars had higher seed weight per inflorescence and higher harvest index. Higher yields may also be achieved through modification of agronomic practices that lead to higher aboveground phytomass.
| ACKNOWLEDGMENTS |
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| NOTES |
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Received for publication December 7, 2000.
| REFERENCES |
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