- Open Access
Grain yield variation and association of major traits in brown-seeded genotypes of tef [Eragrostis tef (Zucc.)Trotter]
Agriculture & Food Security volume 4, Article number: 7 (2015)
Tef [Eragrostis tef (Zucc.) Trotter] is the major cereal crop of Ethiopia where it is annually cultivated on more than three million hectares of land by over six million small-scale farmers. It is broadly grouped into white and brown-seeded type depending on grain color, although some intermediate color grains also exist. Earlier breeding experiments focused on white-seeded tef, and a number of improved varieties were released to the farming community. Thirty-six brown-seeded tef genotypes were evaluated using a 6 × 6 simple lattice design at three locations in the central highlands of Ethiopia to assess the productivity, heritability, and association among major pheno-morphic traits.
The mean square due to genotypes, locations, and genotype by locations were significant (P < 0.01) for all traits studied. Genotypic and phenotypic coefficients of variations ranged from 2.5 to 20.3 % and from 4.3 to 21.7 %, respectively. Grain yield showed significant (P < 0.01) genotypic correlation with shoot biomass and harvest index, while it had highly significant (P < 0.01) phenotypic correlation with all the traits evaluated. Besides, association of lodging index with biomass and grain yield was negative and significant at phenotypic level while it was not significant at genotypic level. Cluster analysis grouped the 36 test genotypes into seven distinct classes. Furthermore, the first three principal components with eigenvalues greater than unity extracted 78.3 % of the total variation.
The current study, generally, revealed the identification of genotypes with superior grain yield and other desirable traits for further evaluation and eventual release to the farming community.
Tef [Eragrostis tef (Zucc) Trotter] is the most important cereal crop in Ethiopia where it is annually cultivated by 6.3 million small-scale farmers on more than 30 % of the total area allocated to cereal crops . The importance of tef in Ethiopia is mainly due to its preference by both farmers and consumers. Farmers, above all, grow tef due to its tolerance to several biotic and abiotic stresses especially to the poorly drained vertisols, a dominant soil type in the central highlands where other cereals can hardly survive without the use of proper drainage system. Over 50 million people in Ethiopia consume tef as staple food due to the better quality bread called “injera” made from it compared to that from other cereals. The absence of gluten in its grain  makes tef a healthy food such that people allergic to gluten can safely consume tef products. Compared to the straw from other cereals, the straw from tef is more nutritious and palatable for livestock feed [3, 4].
Despite its huge importance in the economy and being the favored crop by growers and consumers, the productivity of tef is relatively low compared to other cereals. In 2013, the national average yield for tef was only 1.4 t/ha compared to 2.1 t/ha for wheat and 3.1 t/ha for maize . The major yield limiting factors in tef are lodging and drought . Lodging, the displacement of the plant from the upright position due to wind and rain, contributes for 17 % yield loss in tef .
Based on the color of the grain, tef is broadly grouped into two classes as white- and brown-seeded types; however, grains with intermediate color between these also exist. Earlier, the National Tef Breeding Program in Ethiopia focused on improving the white-seeded tef based on consumers’ preferences [7, 8]. The brown-seeded tef genotypes have been given less attention due to relatively lower market preferences and prices as compared to the white grain ones. As a result, only 4 out of the total of 35 improved tef varieties in Ethiopia are from the brown type . Although brown grain tef is traditionally consumed by the farming community, recently, an increasing number of urban dwellers are becoming interested in this type of tef due to nutritional benefits especially high iron content . The two tef types are mostly cultivated under similar environmental conditions, though the white type is vastly grown at an intermediate altitude below 2400 m a. s. l. while the brown type at altitudes above 2200 m a. s. l. However, farmers often claim that the brown-seeded types perform better under less favorable conditions of fields and cultural practices than do the white-seeded types . The present study was, therefore, carried out to examine the performance of brown tef types for productivity and major agronomic traits at three locations in the central highlands of Ethiopia as well as to identify a new brown variety of tef for future release to the farming community.
Materials and methods
Experimental sites and materials
Field experiments were carried out during the main cropping season of 2013 at Holetta, Ginchi, and Adadi which are situated in the central highlands of Ethiopia. Climatic and soil-related descriptions of the three locations are shown on Table 1. Thirty-six brown-seeded tef lines including one farmer’s cultivar for each locality (local check) and three released varieties (standard checks) were considered for the study (Table 2). Except the local and standard checks, the sources of all genotypes were lines derived from collection expeditions from 1984 to 1992 to seven diverse tef growing regions in the northern, southeastern, and central parts of Ethiopia by the Ethiopian Biodiversity Institute (EBI). The thirty-six tef lines were sown using 6 × 6 simple lattice design each on 2 × 2 m plot. A fertilizer rate of 60 kg P2O5 and 60 kg N per hectare was applied for Adadi and Ginchi experimental sites while 60 kg P2O5 and 40 kg N per hectare was used for Holetta. The whole of the P2O5 was applied in the form of diammonium phosphate (DAP) at planting time, while the remainder of N was applied in the form of urea at tillering about 30–40 days after planting depending on the climatic conditions of the experimental sites. All other cultural practices were made as per recommendations for each location.
Data on days to panicle emergence, grain filling period, days to maturity, shoot biomass, grain yield, harvest index, and lodging index were assessed on plot basis. Harvest index was calculated as a ratio of grain yield to shoot biomass. On the other hand, plant height, panicle, and culm length were recorded on previously selected and tagged five random samples of plants from the central parts of each plot. Mean values of the five random samples of plants per plot were then used for the analyses of data collected on individual plant basis.
All the collected data were subjected to analysis of variance (ANOVA) using the SAS software , and variance effects were considered as significant and highly significant at P < 0.05 and P < 0.01, respectively.
The total phenotypic variance of each trait was partitioned into genetic and nongenetic factors using the variance component method based on the combined analyses over the three test locations as per the method suggested by Assefa et al. . Phenotypic (PCV) and genotypic (GCV) coefficients of variation were calculated following the method of . Broad sense heritability (H) was calculated as a ratio of genotypic variance to phenotypic variance according to Allard . Genetic advance (GA) was expected, assuming selection of the superior 5 % of the genotypes were estimated following the procedure elaborated by Singh and Chaudhury .
Phenotypic and genotypic correlation coefficients were computed from the components of variance and covariances based on the method described by Singh and Chaudhury  using the CANDISC procedure of SAS system .
Multivariate analyses such as cluster analysis (CA) and principal component analysis (PCA) were made based on the mean values for the ten traits and 36 tef genotypes over the three locations. CA was made using the PROC CLUSTER of SAS Version 9  following the average linkage cluster analysis, and the determination of the number of clusters was made based on the Pseudo-F and Pseudo-T2 options. PCA, on the other hand, was made using the PROC PRINCOMP of SAS version 9  to identify the traits that contributed to the large part of the total variation among the genotypes. In principal component analysis, eigenvalues greater than unity were considered important to explain the observed variability.
Results and discussions
Analysis of variance
The combined analyses of variance over the three test locations revealed highly significant (P < 0.01) mean squares of locations and genotypes for all the traits evaluated (Table 3). Likewise, the interactions of genotypes with locations were highly significant (P < 0.01) for all traits except days to panicle emergence and lodging index which were only significant (P < 0.05). These significant effects due to genotype, locations, and genotype by environment interaction indicate that the genotypes and locations were divergent to show substantial variations in useful agronomic traits for tef breeding. Similar results were also reported by Shiferaw and colleagues  for grain yield and yield-related traits.
The overall mean values of genotypes for all traits investigated were found to vary across the three experimental locations (Table 4). When the mean phenological traits across the three locations were compared, it took longer time for tef genotypes to flower and mature at Holetta than at Ginchi and Adadi. For instance, the grain filling period, which starts from the panicle emergence to grain maturity, took about 10 weeks at Holetta as compared to less than 8 weeks at both Ginchi and Adadi. This is mainly due to differences among the three locations in the climatic and geographical parameters, specifically temperature. Surprisingly, the minimum temperature at Holetta usually falls to around zero from October through December while it does not show significant change at the other two locations (Table 1).
Plant height which has direct relation with lodging index was significantly taller at Ginchi while panicle length which corresponds to grain yield of tef was significantly longer at Holetta than the two other locations. However, both grain and shoot biomass yields were significantly higher at Holetta than at Ginchi and Adadi mainly due to the lodging caused by unexpected rainfall during the grain filling stage especially at Ginchi.
The grain yield performances of most of the genotypes were not consistent across all locations except for HO-TFS-5499B1 and HO-TFS-5458B1 which were among higher yielding genotypes at both Ginchi and Holetta locations (Fig. 1). Four genotypes at Holetta, 12 at Ginchi, and 10 at Adadi gave higher yield than the check though some of them did not significantly (P = 0.05) give better yield than the best check.
The widely cultivated farmers’ variety currently used as a local check at Holetta was among high yielders, only surpassed by HO-TFS-5458B1 and HO-TFS-5499B1. This could most probably be due to the fact that farmers themselves have developed such a high-yielding cultivar through years of selection and cultivation. The presence of this farmers’ cultivar could also be the probable reason for a less adoption rate of the three so far nationally released brown-seeded varieties in the area. The two genotypes performed better than the farmers’ cultivar in the current study, have a great potential to be released, and are accepted in the future by the farming community in the area.
Estimates of coefficients of variation, heritability, and genetic advance
The estimates of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV), broad sense heritability (H), and expected GA are presented in Table 5. The estimated values for GCV ranged from 2.7 % for days to grain filling to 20.3 % for grain yield per hectare, while the PCV estimates ranged from 4.3 % for days to maturity to 21.7 % for grain yield per hectare. The results of the current study are within the range of the previous report by Assefa et al.  but higher than those reported by Jifar  and Jifar et al . The higher estimated values of PCV than GCV for all traits in the present study were in agreement with other findings [18, 21]. This existence of high GCV among the lines indicates the possibility of making selection for some most important traits such as grain yield, panicle length, and harvest index. As PCV is usually the reflection of the effects of genotypes and environment, the higher PCV than GCV values suggests a significant contribution of environment and genotype by environment interactions to the expression of the traits under investigation.
On the other hand, the highest broad sense heritability value of 97 % was estimated for days to panicle emergence followed by culm length, panicle length, and plant height, while the lowest value of 37 % was recorded for grain filling period. This indicates that traits with high heritability can easily be selected based on phenotype. High heritability was also reported for panicle length  and for days to panicle emergence [21, 22] though the values for each trait were lower than those from the present findings.
The estimated genetic advance values in the present study ranged from 3.4 % for grain filling period to 39.1 % for grain yield. Seven of the 10 traits (grain yield, panicle length, plant height, harvest index, culm length, shoot biomass, and lodging index) have shown relatively high estimates of GA, indicating their amenability for improvement through selection. The GA estimates in the current study are much higher than those in most previous findings which ranged from less than 1 to 21 % , less than 2 to 23 % , and less than 1 to 15.8 %  for other tef genotypes.
The phenotypic and genotypic correlations showed significant associations among most of the traits evaluated (Table 6). Grain yield showed highly significant (P < 0.01) and positive genotypic correlations with shoot biomass (r = 0.77) and harvest index (r = 0.74), while it was not significantly associated with the remaining traits. The highly significant and positive association between grain yield and that of shoot biomass and harvest index indicates the possibility of improving grain yield by improving any one of the two traits. The finding in the present study is in line with the previous report by Jifar et al. . On the other hand, the phenotypic correlations between grain yield and all traits assessed were positive and highly significant except for plant height, culm length, and harvest index which revealed a negative and highly significant association. For traits with highly significant and negative association, the improvement of one trait would result in the reduction of another trait. Nevertheless, a lodging index, an important trait considered in tef improvement, showed a positive and significant phenotypic association with culm length while it had significant and negative association with all the remaining traits other than plant height and shoot biomass which had no significant association. The significant and positive phenotypic association reported currently for grain yield and phenologic traits is in line with previous reports  and contrary to the findings of Teklu and Tefera .
Except the local and the standard checks, all lines were collected from seven administrative zones of Ethiopia (about 75 % from East Gojam and South Wollo Zones while 25 % from the remaining five zones). Cluster analysis based on the means of three locations and 10 major quantitative traits grouped the 36 brown-seeded tef genotypes into seven distinct classes (Fig. 2). The number of genotypes in each cluster ranged from one in clusters VI and VII to 20 in cluster I. The farmers’ cultivar (local check) and all the three improved varieties used as standard checks were all grouped into cluster I. The concentration of genetic diversity was also detected for the five administrative zones that have contributed for only 25 % of the total lines as those lines were grouped under different clusters. Unlike the present findings, earlier studies grouped tef genotypes into four to six clusters [20, 21, 25, 26].
The means of traits for the seven clusters in the present study are shown in Table 7. Cluster I consisted of 20 tef genotypes that have an average performance for all the traits under investigation. On the other hand, cluster II consisted of six genotypes, the second largest number. The genotypes in this group were characterized to have shorter length of panicle and culm as well as days to panicle emergence, lower biomass yield, and high values of harvest index and lodging index. Both cluster III and IV were found to have three genotypes each. The unique features of genotypes in cluster-III was longer days to grain filling and highest value of lodging index while those of cluster IV had higher grain yield and moderately low lodging index. Hence, genotypes from cluster IV can be used for improvement of grain yield and total biomass. Cluster V, on the other hand, had longer phonological traits value and moderately high mean values for culm and panicle length. Surprisingly, cluster VI and VII were found to be solitary and had only one genotype in each cluster. The unique features of the genotype in cluster VI were longer days to panicle emergence, days to maturity and length of panicle, culm and plant height but lower values of grain yield, harvest index, and lodging index. On the other hand, the genotype in cluster VII had shorter days to panicle emergence and grain filling, shorter length of plant, culm and panicle, and higher yield of biomass and grain as well as harvest index. Hence, this particular genotype can be used for the improvement of harvest index and earliness traits.
Principal component analysis
The first three principal components (PCs) with eigenvalue greater than one contributed for 78.3 % of the entire phenotypic variation observed among the 36 tef genotypes (Table 8). This was smaller than those from earlier reports which ranged between 80 to 85 % [19, 26–28]. PC1 accounted for 44.7 % of the variation among the test genotypes mainly due to the variation in plant height, culm length, days to panicle emergence, panicle length, and days to maturity, respectively. The contribution of PC1 in the present study was about 8 % higher than the value reported for PC1 by [26, 27], but 23 % lower than the value reported for PC1 by . PC2, on the other hand, also accounted for 21.3 % of the total variation among the test genotypes, whereby grain yield, shoot biomass, and harvest index traits were contributing majorly. PC3, on the other hand, has contributed for 12.3 % of the total variation of the genotypes mainly resulting from variation in days to grain filling, days to panicle emergence, and harvest index.
Considerable grain trait variations were observed among the 36 tef genotypes evaluated at the three locations. There was also substantial genotype by environment interactions for all traits evaluated indicating that the test genotypes had differential performance at diverse locations. Besides, the test locations also showed substantial effects on all the traits studied indicating that the locations were adequately diverse to reveal the performance of the tef genotypes. The positive genotypic association between the grain yield, shoot biomass, and harvest index is a good opportunity to simultaneously improve those important agronomic traits. All phenologic traits including days to panicle emergence, days to maturity, and grain filling period, and other traits like shoot biomass and harvest index are positively correlated with grain yield; these traits can be used as selection criteria for increased yield. On the other hand, of the three height-related traits including total plant height, culm length, and panicle length, the former two are negatively correlated and only panicle length is positively correlated with grain yield. Consequently, panicle length which has already been in use as indicator of high yield in the tef breeding program can still be used as useful selection criteria for yield. Cluster analysis had grouped the test genotypes into seven distinct classes with the larger number of genotypes (56 %) fall under cluster I. Based on means of the clusters, different tef genotypes can be selected for improvement of traits of agronomic importance. For instance, tef genotypes in cluster IV can be used for improvement of grain yield and total biomass, while short stature plants for improving lodging resistance as well as for earliness traits can be made from genotype in cluster VII. Furthermore, the first three principal components with eigenvalue greater than one have contributed for 78 % of the entire variation.
In general, the current study revealed the possibility of identifying lines with superior grain yield and other desirable traits for further evaluation and eventual release to the farming community. To this end, the materials would be valuable as a source of breeding materials for improved brown-seeded tef varieties which are expected to be in high demand, apart from use for domestic consumption, particularly in view of the presently burgeoning global popularity and export potential for tef and tef products.
analysis of variance
days to maturity
days to panicle emergence
Ethiopian Biodiversity Institute
Ethiopian Institute of Agricultural Research
genotypic coefficient of variation
grain filling period
phenotypic coefficient of variation
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The authors would like to acknowledge the Ethiopian Institute of Agricultural Research (EIAR) for financing the field research. We also thank the technical staff of the Tef Breeding Section at Holetta Agricultural Research Centers for the execution of the field experiments.
The authors declare that they have no competing interests
HJ designed the experiment and analyzed the data. HJ, KA, and ZT wrote the manuscript. All authors read and approved the manuscript.
HJ is a researcher in Ethiopian Institute of Agricultural Research (EIAR) and a PhD student at Addis Ababa University, Addis Ababa, Ethiopia. KA is a Tef Research Program Coordinator in Ethiopian Institute of Agricultural Research, Debre Zeit, Ethiopia. ZT is a program leader in University of Bern, Institute of Plant Sciences, Altenbergrain 21, 3013 Bern, Switzerland.