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The study was conducted with the aim of inventorying and assessing the level of sorghum landraces richness, estimating the extent and patterns of phenotypic diversity, identifying race type, and predicting suitable areas of production using future climate scenarios in Tigray, Northern Ethiopia. Overall, 358 landraces from 125 independent farmers’ fields in 20 districts belonging to four zones of Tigray were surveyed. Landraces richness, frequency of character states, and diversity levels were estimated via Margalef’s, Menhinick’s and Shannon–Weaver (H′) indices for each zone and altitude classes. Suitable areas for sorghum cultivation in the future were predicted using DIVA-GIS. Altogether, 140 distinctly named landraces were identified and collected. Southern zone has the highest richness (DMg = 10.74, DMn = 5.0) followed by central (DMg = 8.54, DMn = 3.80). The estimated H′ for the phenotypic character states ranged from 0.24 (seed form) to 0.95 (rachis branch length). Highest diversity estimate was found in northwest (H′ = 0.71) followed by central zone (H′ = 0.64). Respectively, H′ was 0.70, 0.68, and 0.61 in lowland, intermediate, and highland elevations. In general, lowlands of northwest, central, and southern zones are identified as potential sites for germplasm conservation and utilization. The races durra, bicolor, caudatum, and durra-bicolor were found with durra as the dominant race (79%). All the currently surveyed areas and many other sites in Tigray are predicted to be suitable for future sorghum production under the changing climate scenario. Copies of all the 358 sorghum landraces are deposited in the national gene bank for use in future sorghum breeding work. The wealth of sorghum landraces diversity could be used in sorghum improvement programs.

Understanding the genetic variability and diversity of crops is the basis for breeding and improving of crops. Sixty four Ethiopian hot pepper genotypes were evaluated in 8×8 simple lattice design for genetic variability in green fruit yield and yield related traits at Axum Agricultural Research Center during 2018/2019 under irrigation. Data were collected on green pod yield and yield related characters. The analysis of variance showed significant amount of variations among genotypes in their mean performances of studied traits. High heritability and genetic advance were observed for average fruit weight (145.03, 97.11), fruit length (97.43,98.62), number of fruits per plant (78.54,95.78), number of branches per plant (77.65, 98.64), green pod yield per plant (74.26,99.80) and fruit pericarp thickness (63.61,97.76), respectively. This indicates that these traits are predominantly governed by additive gene action. From correlation study fruit yield per plant exhibited highly significant positive association with average fruit weight (0.72, 0.71), fruit length (0.69, 0.68) and fruit diameter (0.61, 0.60)) at both genotypic and phenotypic levels, respectively. Fruit length had the highest direct effect (0.46) on fruit yield per plant, followed by average fruit weight (0.36). In general, result of this study indicated that average fruit weight, fruit length, fruit diameter and fruit pericarp thickness showed high heritability, genetic advance, positive correlation and high positive direct effects. Hence, these traits can be used as indirect selection criteria for hot pepper yield improvement program. Key words: GCV, genetic advance, heritability, PCV, pod yield, variability.

Hot pepper is the dominant vegetable crop grown in different parts of Ethiopia with long history of cultivation and considerable genetic diversity for most important morphological traits. However, shortage of varieties, the prevalence of fungal and bacterial as well as viral diseases, information is lacking on genetic diversity and genetic information to design genetic resource conservation to improve yield and yield components of hot pepper. The study was undertaken to assess the morphological diversity of 64 hot pepper genotypes at Axum Agricultural Research Centre in Mereb Leke District during the year 2017/2018, using 8×8 simple lattice design. Analysis of variance revealed that there were a significant (P

The emerging oilseed crop Sesamum indicum, also known as the queen of oilseeds, is being grown globally for its oil content for medicinal and nutritional values. One of the key challenges of sesame cultivation is its low productivity. In the present study, sodium azide (NaN3) was used as a chemical mutagen. The aim of this study was to examine the effect of NaN3 on quantitative and qualitative stem traits in the M2 generation of Ethiopian sesame (Sesamum indicum L.) genotypes. Seeds of fourteen sesame genotypes were used in this study and germinated and grown under greenhouse conditions. Different qualitative and quantitative data were collected and analyzed. Traits such as plant height, ground distance to first distance, and internode length were significantly affected by NaN3 treatment. The highest plant height was recorded in the control on Humera 1 and Baha Necho genotypes, while the lowest was observed on Setit 2 and Hirhir treated with the chemical. The highest ground distance to the first branch was observed in Gumero, while the least ground distance was recorded in Setit 1 in the treated and control genotypes, respectively. The best internode length was recorded on Setit 2 and ADI in the control, while the lowest internode length was observed in Setit 1 genotype treated with sodium azide. Genotypes such as ACC44, ADI, Baha Necho, Borkena, Gonder 1, and Setit 1 treated with NaN3 have showed glabrous type of stem hairiness. All the fourteen genotypes (both treated and control) were clustered into four groups. In conclusion, we observed a highly significant variation among the genotypes due the effect of the chemical and genotypes themselves. Hence, this report would create more genetic diversity for further sesame genetic research improvements.

The emerging oilseed crop Sesamum indicum, also known as the queen of oilseeds, is being grown globally for its oil content for medicinal and nutritional values. One of the key challenges of sesame cultivation is its low productivity. In the present study, sodium azide (NaN3) was used as a chemical mutagen. The aim of this study was to examine the effect of NaN3 on quantitative and qualitative stem traits in the M2 generation of Ethiopian sesame (Sesamum indicum L.) genotypes. Seeds of fourteen sesame genotypes were used in this study and germinated and grown under greenhouse conditions. Different qualitative and quantitative data were collected and analyzed. Traits such as plant height, ground distance to first distance, and internode length were significantly affected by NaN3 treatment. The highest plant height was recorded in the control on Humera 1 and Baha Necho genotypes, while the lowest was observed on Setit 2 and Hirhir treated with the chemical. The highest ground distance to the first branch was observed in Gumero, while the least ground distance was recorded in Setit 1 in the treated and control genotypes, respectively. The best internode length was recorded on Setit 2 and ADI in the control, while the lowest internode length was observed in Setit 1 genotype treated with sodium azide. Genotypes such as ACC44, ADI, Baha Necho, Borkena, Gonder 1, and Setit 1 treated with NaN3 have showed glabrous type of stem hairiness. All the fourteen genotypes (both treated and control) were clustered into four groups. In conclusion, we observed a highly significant variation among the genotypes due the effect of the chemical and genotypes themselves. Hence, this report would create more genetic diversity for further sesame genetic research improvements.

Background:Objective of the study was to investigate the response of groundnut genotypes to combined application of phosphorus and zinc on yield and nutritional contents. A field experiment was conducted at Sheka-Tekli in 2017/18 cropping season. Methods:The treatments were consisted of three groundnut genotypes (ICGV00308, ICGV91114 and Sedi) as main plot and four combined PZn fertilizer levels (00), 10 kg P/ha +0.50 g Zn/L, 20 kg P/ha +1 g Zn/L and 30 kg P/ha+1.5 g Zn/L as sub plot were assigned in split plot design with tree replications.Result: The result indicated that yield and yield components respond significantly to the main and interaction effects. The highest significant seed yield (2,529 kg/ha) and protein content (37.79%) were obtained in response to the application of P30Zn1.5 fertilizer on sedi variety in the loamy sand soil The percentage of crude protein and fat content had significantly affected by interaction components. Most of the yield component traits showed strong positive correlation with seed yield. While the lowest seed yield was recorded from ICGV00308 without fertilizer. The highest fat content (43.95%) was gained from genotype ICGV00308 at P30Zn1.5 fertilizer. From the interaction of sedi with P30Zn1.5 fertilizer was recorded highest protein content. Based on economic analysis the highest MRR (380.58%) was obtained from ICGV00308 genotype at P10Zn0.5 fertilizer. Conclusion: From the result of the study, application of PZn fertilizer increases seed yield of groundnut. Therefore, based on the MRR result ICGV00308 genotype at P10Zn0.5 fertilizer was optimum for groundnut production in the study area and similar agro-ecologies.

Background Adequate phosphorus (P) and foliar zinc (Zn) in groundnut required for obtaining Zn-enriched grain and optimum yield. However, it was very low in the area. Due to that objective of the study was to investigate the response of groundnut genotypes to combined application of phosphorus and zinc on yield and nutritional contents. A field experiment was conducted at Sheka-Tekli in 2017/18 cropping season. Methods The treatments were consisted of three groundnut genotypes (ICGV00308, ICGV91114 and Sedi) as main plot and four combined PZn fertilizer levels (00), 10 kg P/ha + 0.50 g Zn/L, 20 kg P/ha + 1 g Zn/L and 30 kg P/ha + 1.5 g Zn/L as sub plot were assigned in split plot design with tree replications. Result The result indicated that yield and yield components respond significantly to the main and interaction effects. The highest significant seed yield (2529 kg/ha) and protein content (37.79%) were obtained in response to the application of P30Zn1.5 fertilizer on sedi variety in the loamy sand soil. The percentage of crude protein and fat content had significantly affected by interaction components. Most of the yield component traits showed strong positive correlation with seed yield. While the lowest seed yield was recorded from ICGV00308 without fertilizer. The highest fat content (43.95%) was gained from genotype ICGV00308 at P30Zn1.5 fertilizer. From the interaction of sedi with P30Zn1.5 fertilizer was recorded highest protein content. Based on economic analysis the highest MRR (380.58%) was obtained from ICGV00308 genotype at P10Zn0.5 fertilizer. Conclusion From the result of the study, application of PZn fertilizer increases seed yield of groundnut. Therefore, based on the MRR result ICGV00308 genotype at P10Zn0.5 fertilizer was optimum for groundnut production in the study area and similar agro-ecologies.

The study aimed at evaluating the influence of environment on sweetpotato stability and identifying superior genotype(s) with high yield stability in the farmers’ field conditions. Six sweetpotato genotypes were evaluated for two years in ‘meher’ season (July- December), 2014 and 2016; four of the six genotypes were assessed for three years in the ‘meher’ season, 2012, 2014, and 2016. Planting was done in three replications in RCBD in three unique agro-ecologies: Endayesus-dry highland, Fachagama-dry lowland, Rarhe-moist lowland. Genotypes genetic merits were predicted using BLUP. The AMMI and GGE were used to test the genotypes stability. The ANOVA for AMMI model showed high significant difference (P0.01) for genotypes, environments, seasons, and the interactions. Environment (41.67%) and the genotype main effect (35.71%) contributed largely to the cumulative variance for three years testing of four genotypes and two years testing of six genotypes, respectively. Berkume (42.44 t/ha), Tulla (33.92 t/ha) and Kulfo (33.67 t/ha) were superior for total storage root tuber yield (TTRY).Both the AMMI and GGE biplot predicted Tulla and Kulfo as ideal genotypes with dynamic stability; Berkume with static stability to Rarhe. The environment main effect had significant influence in determining how genotypes expressed their genetic potentials and stability as shown by the AMMI model and GGE biplot. The AMMI model partitioned the studied agro-ecologies of the Tigray region into two mega sweetpotato growing environments; the dry high/lowland in one environment and the moist lowland in another, completely different, but with high potentials for sweetpotato production.

This study was conducted to develop an efficient regeneration protocol used for sesame genetic transformation. Published regeneration methods using 6-benzylaminopurine (BAP), indol-3-butyric acid (IBA), and α-naphthaleneacetic acid (NAA) were used in this experiment. Cotyledon explants of 14 Ethiopian genotypes collected from Humera Agricultural Research Center (HuARC) were used. Optimized culture conditions were used to investigate the regeneration response of different genotypes. Significant interactions between hormone treatments, MS media, and genotypes for shoot and root regeneration were recorded. Results showed that culture of cotyledons were developed and used as a source of explants for shoot regeneration. The highest shoot number, leaf number, and shoot length were recorded on explants cultured on 1.00 mg·L−1 BAP + 1.00 mg·L−1 NAA in Hirhir and Aberghele, 0.75 mg·L−1 BAP + 1.00 mg·L−1 NAA in Baha Zeyit, and 1.0 mg·L−1 BAP + 1.00 mg·L−1 NAA in Humera 1, respectively. The lowest shoot number, leaf number, and shoot length were observed on explants cultured on the control in Gondar 1, Borkana, and Baha Necho, Borkana and Beha Necho, and Baha Necho, respectively. Genotypes with well-developed shoots were transferred to root induction media. Under rooting media, the best mean, root number, and root length were observed in Aberghele and ACC44 at 0.1 mg·L−1 IBA and 0.2 mg·L−1 NAA, respectively. Standardizing genotypes trait data to mean 0 and unity variance has helped to group 14 genotypes into four distinct clusters. Hirhir, Abeghele, Baha Zeyit, and Humera 1 were the best genotypes. These findings lay ground to Ethiopian sesame to do further genetic transformation aiming at improving the crop.

Forty-nine bread wheat genotypes were tested at Axum, Northern Ethiopia in 2016/17, with the objective of assessing the extent of genetic variation, correlation and path analysis of wheat genotypes in yield and grain quality traits using 7 x 7 triple lattice design. Data were collected for 17 agronomic and grain quality characters. For each of the test entries, samples of 500 g grains were taken from each plot for quality analysis. The NIR spectrophotometer (NIR Infratec 1241 Grain analyzer, Sweden) was used to analyze wheat samples for their protein, wet gluten, zeleny sedimentation volume and starch content based on dry weight basis. Data were subjected to analysis of variance which revealed significant differences among the genotypes for all the characters. The genotypic coefficient of variation (GCV) ranged from 1.63 (for starch content) to13.30% (for grain yield). The broad sense heritability (H2) ranged from 15.89 (for number of tillers) to 97.16% (for days to heading), while genetic advance as percent of mean (GAM) from 2.01 (for starch content) to 19.63% (for days to heading). The GCV and phenotypic coefficient of variation (PCV) differences were low in magnitude for days to heading and days to maturity, and H2 values were coupled with moderate to high GAM. This suggests selection based on phenotype of genotypes could be effective to improve these characters. Grain yield was positively and significantly correlated with biological yield (0.72), harvest index (0.65), plant height (0.51), thousand kernel weight (0.31), hectoliter weight (0.37) and starch content (0.32), of which biomass yield (0.85) and harvest index (0.70) had the highest positive direct effect on grain yield. Thus, selection for higher mean values of biomass yield and harvest index could be considered simultaneously for selection of higher grain yield. Key words: Bread wheat, correlation, genetic coefficient of variation, genetic advance, grain quality, heritability.

The experiment was conducted in Northern Ethiopia from 2011-2013 under rain fed conditions in a total of seven environments vis. E1, E2, E3, E4, E5, E6 and E7. The objective of the study was to evaluate the adaptability and stability of sesame genotypes across environments. 13 sesame genotypes were evaluated and the experiment was laid out in a Randomized Complete Block Design with three replications. The average grain yield of the genotypes was 742.9 Kg/ha with the outstanding genotypes being G4 (926.8 kg/ha), G1 (895.1 kg/ha) and G12 (832.7 kg/ha) respectively, and low the yielding genotype was G9 (614.3 kg/ha). The combined ANOVA for grain yield showed significant effects of the genotypes, environments and genotype x environment interaction. According to the additive main effect and multiplicative interaction bi-plot (AMMI bi-plot) and Genotype x Environment interaction bi-plot (GGE bi-plot) G12 was the most stable, and G7, G8 and G9 were the unstable genotypes. Furthermore, the Genotype main effects and GGE bi-plot showed E5 as the most discriminating and representative environment. The GGE bi-plot also identified two different growing environments, the first environment containing E4 and E6 (in the Dansha area) with the wining genotype G1; and the second environment encompassing E1, E2, E3, E5 and E7 (in the Humera, Dansha and Sheraro areas) with winning genotype of G4. Key words: AMMI bi-plot, environment, GEI, GGE bi-plot.

A field experiment was conducted to investigate the influence of different nitrogen and phosphorus fertilizer levels on dekoko (Pisum sativum var.abyssinicum A.Braun) yield and yield components as well as to establish the net benefit at each fertilizer levels. The Experiment was conducted at Mekelle university Endayesus campus in Tigray, Northern Ethiopia in 2013/14. It was laid out in a randomized complete block design with four blocks. It comprises four nitrogen (N) and phosphorus (P) fertilizer treatments combinations. Viz., Control (N0P0), 30 kg N ha-1 and 30 kg P2O5 ha-1 (N1P1), 60 kg N ha-1 and 60 kg P2O5 ha-1(N2P2) and 90 kg N ha-1 and 90 kg P2O5 ha-1 (N3P3).The highest yield (2114.55 kg ha-1), biomass (5312.5 kg ha-1), nitrogen and phosphorus use efficiency (4.58 kg kg-¹) and maximum marginal rate of return (499%) were obtained when treated with N2P2. From the present results it could be concluded that 60 kg N ha-1 and 60 kg P2O5 ha-1 fertilizer rate would be optimum treatment combination for enhancing dekoko yield and yield components, NP use efficiency, and economic profitability. Therefore, application of 60 kg N ha-1 and 60 kg P2O5 ha-1 is recommended for better productivity and profitability of dekoko at low soil fertility levels.

Hot pepper production in most areas of Ethiopia especially in Tigray region is constrained by shortage of varieties, the prevalence of fungal and bacterial as well as viral diseases. Sixty-four hot pepper genotypes were evaluated to obtain the extent of genetic variability, association among characters. The experiment was laid out using 8x8 simple lattice design at Axum Agricultural Research center in 2017/18. Data were collected for 19 agronomic characters and analysis of variance revealed significant differences (p

Seven sweet potato varieties (Bellela, Kabode, Kulfo, LO, Temesgen, Tulla and Vitae) were tested in southern and eastern zones of Tigra, Ethiopiay in 2012 to evaluate their total root yield potential. Randomized complete block design with three replications was used for the experiment Yield data was analyzed using combined ordinary analysis of variance and the additive main effect and multiplication interaction effect model (AMMI). The combined analysis of variance across locations showed significant variation among genotypes, locations and the genotypes by locations interaction for the total storage root yield (t/ha). Based on this, the superior mean total root yield (26.82 t/ha) was obtained at Kukufto testing location while the inferior (13.45 t/ha) was at Rarhe. Similarly, among the genotypes, LO gave the highest mean total root yield (30.9 t/ha), while bellela gave the lowest (7.78 t/ha). The AMMI analysis for the total storage root yield also showed highly significant difference for genotypes, locations and the genotypes by locations interaction components The contribution of genotype, location and genotype by location interaction to the total variation in root yield was about 54.1%, 21.4% and 19.4%, respectively. The genotype main effect contributed more to the total variability indicating that the variation was largely due to the inheritance of genotype effect. The genotype by location interaction was further partitioned using AMMI model and the first two principal components explained 100% of the total variability. The model captured 83.4 % of the interaction sum of squares with the first Interaction Principle Component Axis (IPCA) (in 58.3% of the interaction degrees of freedom) and 16.6% by the second IPCA axis (with 41.7% of the G x E d.f). AMMI biplot view of this study identified kukufto as best testing location and LO, Tulla and Kulfo as best genotypes for south and south east zones of Tigray region.

Seven sweet potato varieties were tested at three locations of southern and eastern zones of Tigray.in 2012 cropping season. The objective of the study was to evaluate the yield and yield componentsof the varieties and theexperiment was laid out in RCBD with three replications and inplot size of 4.2m x 2.4m. Net harvestable plot area was 7.2 m2with inter and intra-row spacing of 0.60m and 0.30m respectively. Individual analyses of variance for the three locations indicated the existence of significant to highly significant (P < 0.01) genotype differences for all traits except vine length, above ground fresh biomass weight and stand count at harvest considered at Rarhe and Kukufto locations. In addition, vine length, unmarketable storage root number per plot and stand count at harvest were also showed non-significance genotype difference at Illala location. Similarly, the combined analysis of variance across locations showed significant variation among genotypes, locations and the interaction for all traits except vine length and above ground fresh biomass weight. Kukufto was the highest total root yielding location followed by Illala for almost all varieties but Rarhe yielded lowest. Varieties tulla, LO and kulfo had highest total root yield at Kukufto and Illala locations. Vitae gave above average root yield only at Rarhe but kabode, temesgen and bellela yielded lower and below average total roots at all locations.Based on the combined mean total root yield of locations and different yield evaluation methods, high yielding varieties were identified. Accordingly, LO and Tulla varieties gave highest root yield per unit area at all locations, followed by Kulfo. Therefore, these varieties can play a vital role in food self sufficiency and food security of Tigray region and they should be widely distributed to farmers of the testing locations and similar areas of the region

A set of 192 barley genotypes of wide eco-geographic origin were evaluated for flowering time (FT), the major adaptive trait in Ethiopian barleys. Morphological, functional and DArT markers were used to explore trait-marker associations, population structure, genetic diversity and extent of pair-wise linkage disequilibrium (LD). A wide magnitude of variation in FT was detected within and across environments and spanned at least 50–60 days with clear G × E interactions (GEI). The average DArT polymorphism estimated by gene diversity and polymorphic information content (PIC) was 0.33 and 0.27 respectively. Four distinct subpopulations, with one outlying group were identified which indicated that the populations were structured. The genome-wide LD extended up to 25 cM, with extensive variation at chromosome level. Markers associated with FT were found close to known QTLs for FT such as VRN-H1, VRN-H3, Ppd-H1, Ppd-H2 and earliness per se (Eps-2S), but also in regions known for FT-like and CO-like genes working under short days. In some QTLs the magnitudes and directions of the effects varied with environments. It is proposed that genes conditioning tolerance to drought and/or waterlogging interact with FT genes and modify the phenotype. A non-random association of alleles on different chromosomes—vrs1 (2H), BYDV resistance (3H) and srh (5H) associated with altitude and FT indicated a co-adapted gene complex. A set of 95 genotypes were selected to represent the Ethiopian section of the Barley Core Collection.

Twenty two accessions of barley landrace/farmers' varieties collected from Bale and North Shewa in situ conservation zones were characterised using 18 qualitative and quantitative morphological traits. Phenotypic frequencies for individual qualitative characters across in situ conservation zones, districts, and strategic sites (localities) have shown mixed and some peculiar patterns. Varieties from Bale conservation zone are predominantly white-yellow seeded whereas varieties from North Shewa are purple-black seeded. White-yellow seeded varieties are more frequent in the lower altitude examined, and the purple-black seeded varieties are more frequent at the highest altitude (≥ 2650 ). While six row types occur at higher frequencies in almost all the sites in North Shewa, the irregular types are dominant at Bale. The highest frequency of six row types is found at an altitude ≥ 2650 , whereas the two rowed and irregular types are found below 2650 . Two row types occur at low frequency at both sites. At Bale, glume awn shorter than glume is the most frequent character whereas glume awn longer than glume is more frequent at North Shewa. Glume awn longer than glume appears to increase with increasing altitude. Caryopsis cover is relatively monomorphic with respect to distribution across zones. The covered types are most frequent in almost all altitudinal ranges. Estimates of diversity index (H′) for individual qualitative characters suggest that polymorphism is common in varying degrees for most characters, which indicates the existence of wide range of variation. On the basis of cross validation using discriminant function among the quantitative characters, the landrace varieties from North Shewa seem to be more diverse than the ones from Bale. From the results of multiple regression analysis, the zonal variation is significantly associated with all the quantitative morpho-agronomic characters except plant height. The great majority of the varieties from Bale were perfectly identified and named by farmers. The reliability analysis confirmed that there was a remarkable positive degree of consistency between farmers naming of landrace varieties.

Sorghum is an important crop for the south and central parts of Tigray Region of Ethiopia. To assess the level of sorghum diversity, two zones, namely South and Central Tigray were selected and eighteen villages in three woredas, Alamata, Raya-Azebo and Tanqua-Abergelle, were surveyed. A total of 93 randomly selected farmers were interviewed using a structured questionnaire that elicited information on socioeconomic aspects of households, sorghum plots, the number and types of farmers’ local varieties grown in the area, variety characteristics, seed exchange systems and seed flow together with selection criteria’s as well as seed selection process and management. A total of 165 collections belonging to 31 locally named sorghum varieties were retrieved and stored at Mekelle University. High diversity in terms of landrace richness were found the Alamata area (Margalef = 2.92; Menhinick = 1.66) followed by Raya-Azebo (Margalef = 2.61; Menhinick = 1.46) and Tanqua-Abergelle was found to be less diverse in terms of number of named varieties (Margalef = 1.40; Menhinick = 1.0). Diversity estimated based on evenness indices showed that Tanqua-Abergelle has the highest diversity (Shannon =0.86; Brillouin index = 0.86) followed by Raya-Azebo (Shannon =0.85; Brillouin index = 0.85). The lowest evenness was found in Alamata woreda (Shannon =0.77; Brillouin index = 0.77). Based on the varietal richness and use values, four sites (villages) that could serve as seed repositories were identified. The result of the econometric analysis indicated that a combination of factors, such as year of schooling, labour equivalence, tropical livestock unit, and number of parcels were the most important determinants that affect significantly the intra-specific diversity. The regression analysis indicates the positive linkage between land fragmentation and landrace richness. The increase in diversity over temporal scale of ten years found in this study revealed that the level of genetic erosion needs numerical evidence to substantiate. The socioeconomic factors that affect varietal diversity and possible conservation and incentive strategies are discussed. Key words: Sorghum, Diversity, Seed flow, Genetic erosion, Resilience

Enset plant diversity and maintenance were investigated through interviews, quantitative and qualitative plant morphological analysis, nutritional analysis and field observations. Forty-two enset varieties were identified and grouped into 6 clusters, where the wild variety was an outlier. Principal components analysis also revealed the distinctiveness of the enset varieties. The study showed that, farmers in the Kaffa zone maintain many varieties along with associated myths, beliefs, songs/poems, and medicinal and ritual significance. A multidimensional preference analysis suggested the existence of a reasonable degree of consistency among farmers in naming the varieties and utilization aspects. Diversity within and between enset varieties was found to be high, and ‘perceptual distinctiveness’ of enset varieties of which farmers were minutely cognizant was significant in the recognition of variation and therefore plays a role in selection and maintenance of the existing diversity.