Journal of
Plant Breeding and Crop Science

  • Abbreviation: J. Plant Breed. Crop Sci.
  • Language: English
  • ISSN: 2006-9758
  • DOI: 10.5897/JPBCS
  • Start Year: 2009
  • Published Articles: 421

Full Length Research Paper

Stability for descriptors of Solanum aethiopicum Shum group (family Solanaceae)

Nahamya Pamela Kabod
  • Nahamya Pamela Kabod
  • Department of Agricultural and Biological Sciences, Faculty of Science and Technology, Uganda Christian University, P. O. Box 4, Mukono, Uganda.
  • Google Scholar
Godfrey Sseremba
  • Godfrey Sseremba
  • Department of Agricultural and Biological Sciences, Faculty of Science and Technology, Uganda Christian University, P. O. Box 4, Mukono, Uganda.
  • Google Scholar
Ruth Buteme
  • Ruth Buteme
  • Department of Agricultural and Biological Sciences, Faculty of Science and Technology, Uganda Christian University, P. O. Box 4, Mukono, Uganda.
  • Google Scholar
Michael Masanza
  • Michael Masanza
  • Department of Agricultural and Biological Sciences, Faculty of Science and Technology, Uganda Christian University, P. O. Box 4, Mukono, Uganda.
  • Google Scholar
Elizabeth Balyejusa Kizito
  • Elizabeth Balyejusa Kizito
  • Department of Agricultural and Biological Sciences, Faculty of Science and Technology, Uganda Christian University, P. O. Box 4, Mukono, Uganda.
  • Google Scholar
Katwijukye Apolo Kasharu
  • Katwijukye Apolo Kasharu
  • Department of Agricultural and Biological Sciences, Faculty of Science and Technology, Uganda Christian University, P. O. Box 4, Mukono, Uganda.
  • Google Scholar


  •  Received: 05 June 2018
  •  Accepted: 27 July 2018
  •  Published: 30 September 2018

 ABSTRACT

Solanum aethiopicum Shum group is a nutrient-rich and income-generating crop enterprise in various sub-Saharan Africa countries. Despite its importance, the development of its improved varieties has not been prioritized. Until now, no field-based descriptor development reference for the crop is available for testing candidate varieties for distinctiveness, uniformity and stability. The purpose of this study is to identify morphological variables that provide identity of S. aethiopicum Shum group accessions across environments. With ten accessions across three test locations, it was observed that the highly polymorphic morphological variables were majorly vegetative and a few reproductive ones. They include plant height at flowering, plant canopy breadth, plant branching, petiole color, petiole length, leaf blade length, leaf blade width, leaf lobbing, leaf tip angle, flowering time, style length, fruit position, fruit flesh density, fruits per inflorescence and fruit flavor. A static stability analysis, a common selection technique for obtaining consistence in performance of genotypes, showed that accessions varied in their interaction with environments for different descriptors. The most statically stable accessions were 184P and 163P while the least stables were 168P, 148, 141, and 137. The findings indicate the potential for identifying unique and stable varieties of S. aethiopicum Shum group for the processing of official release to farmers.

Key words: Polymorphic morphological markers; static stability coefficient; field characterization; Solanum aethiopicum Shum; genotype by environment interaction.

 


 INTRODUCTION

Shum is one the four recognized morphological groups of the African eggplant (Abukutsa-Onyango et al., 2010; Adeniji et al., 2012; Horna and Gruere, 2006). It is desired for its nutrient-rich leaves (Bisamaza and Banadda, 2017; Ebert, 2014; Ojiewo et al.  2013; Pincus, 2015; Rubaihayo et al., 2003).

The rest of its groups are Gilo, Kumba and Aculeatum, and they are cultivated for other purposes (Adeniji et al., 2012; Prohens et al., 2013; Sakhanokho et al., 2014; SÄ™kara et al., 2007). All the four groups are diploid (2n = 24) and they are indigenous to Africa (Prohens et al., 2013; Sakhanokho et al., 2014). The diversity for the Shum group of African eggplant (Solanum aethiopicum) is believed to be richest in Uganda, owing to favorable agroecologies and the contribution of the leafy vegetable to household diets and incomes (Cernansky, 2015; Ojiewo et al., 2013; Omulo, 2016; Rubaihayo et al., 2003; Ssekabembe, 2008; Ssekabembe et al., 2003; Stone et al., 2011). Elsewhere, the crop receives commercial attention in countries like Cameroon, Burkina Faso, Ghana, Nigeria, India and Brazil (Abbiw, 1997; Bationo-Kando et al., 2015; Gramazio et al., 2016; Kouassi et al., 2014; Ojiewo et al., 2013; Osei et al., 2010; Rémi et al., 2005).

There is an increasing interest among researchers and policy makers in promoting variety development, cultivation, value-addition and consumption of vegetables (Bisamaza and Banadda, 2017; Cernansky, 2015; Ebert, 2014; FAO, 2005; Pincus, 2015; Rubaihayo et al., 2003; Stone et al., 2011). The breeding and exploitation of new varieties is an avenue that can contribute significantly to improving rural income and overall economic development especially in the third world. For instance, development of new varieties with higher yields increases the value and marketability of crops. New varieties should however, meet the distinctiveness, uniformity and stability (DUS) tests as criteria used by national variety release systems (Mendes de Paula et al., 2014; UPOV, 2002).  Distinctness describes the extent to which a descriptor can demonstrate differences between varieties; uniformity, on the other hand, describes the level of homogeneity within a variety. Stability of a genotype refers to its tendency to conserve performance across environments (Becker and Leon, 1988; Kamidi, 2001). Plant morphological characters are universally accepted descriptors for DUS testing and varietal characterization of crop species and are useful for distinguishing different varieties. Determining whether descriptors comply with the above mentioned prerequisites can best be done by evaluation of characteristics in field trials in which various genotypes are grown under identical conditions.

Coefficients of stability are used to identify the genotypes exhibiting same performance for specific variables (Balestre et al., 2009; Eberhart and Russell, 1966; Finlay and Wilkinson, 1963; Temesgen et al., 2015). Stability coefficients are commonly used with yield estimates but the same principle can be extended to morphological descriptors (Mendes de Paula et al., 2014; Sabaghnia et al., 2012; Temesgen et al., 2015). Performance stability refers to a genotype’s ability to perform consistently, whether at high or low levels, across a wide range of environments. Most stability measures relate to either of  two  contrasting  concepts of stability: “static” and “dynamic” (Eberhart and Russell, 1966; Finlay and Wilkinson, 1963; Lin and Binns, 1988). Static stability is analogous to the biological concept of homeostasis: a stable genotype tends to maintain a constant performance for a particular variable across environments (Lin and Binns, 1988; Palanog et al., 2015). This study aims at identifying: variables that provide identity of Shum accessions across environments, and accessions that are stable in morphological traits. The study generated results on reliable descriptors for field characterization of S. aethiopicum Shum group genotypes. The study accessions had earlier been characterized under screen house conditions (Sseremba et al., 2017)but needed field verification.

 


 MATERIALS AND METHODS

Testing sites and germplasm

Three evaluation sites in Uganda were used; Ntawo village in Mukono Municipality in the Central region. Ntawo is an on-station field testing site for the Department of Agricultural and Biological Sciences, Uganda Christian University, Mukono. Butiki village in Jinja Municipality was used (near East), and Busamaga village in Mbale Municipality (Far East) in Eastern Uganda. Mukono, Jinja and Mbale are located at about 24, 70 and 230 km, respectively, East of Kampala.

The study accessions were obtained from farming households in Uganda through a field survey in 2014/2015, followed by on-station seed increase and purification by self-pollination. The accessions were assigned codes; some with stem color suffices such as G and P for green and purple, respectively, whenever more than one accession from same survey location possessed similar other attributes other than stem color.  Ten accessions were used in this study: 108, 137, 141, 145, 148, 163P, 168P, 183P, 184G and 184P, and they have been described earlier under screen house conditions (Sseremba et al., 2017).

Experimental design

A randomized complete block design (RCBD) with three replications was used at each of the three test sites; Jinja, Mbale and Mukono. The evaluation was carried out during the first rainy season (February to June 2016). Four-row plots of length 4 m were used at an inter-row spacing of 30 cm. Direct sowing into the experimental field was used. The within-row sowing was done by drilling followed by thinning to 10 cm at 4-leaf stage (1 month after sowing). The testing fields were prepared by hand hoeing and use of Glyphosate to reduce on the weeds burden before the germination of planted seed. At planting, D.A.P fertilizer at a rate of 50 kg/acre was applied. Topdressing with N.P.K (25:5:5) was carried after thinning and at 2 months after sowing. Hand weeding within established fields was used.

Data collection

Data were collected during the opening of first flower until physiological ripening of fruit stages, depending on the variable. Forty one morphological variables were measured according to Adeniji et al. (2013)and Sseremba et al. (2017), with some modifications. A brief description of the various variables measured is included in Table 1.

 

 

Data analysis

A restricted (residual/reduced) maximum likelihood analysis considering accession and location as factors was implemented in BreedingView statistical software (VSN International Ltd, Hemel Office). A boxplot of each of the 41 variables measured was generated from mean values of each accession per location. Presence of spread (or absence of it) in the boxplot was used as criteria for distinguishing variables as either monomorphic or polymorphic. A variable was identified as monomorphic when all accessions had the same mean performance across test locations (Jinja, Mbale and Mukono). It was considered as slightly polymorphic when at least one of the test sites produced similar traits of a character (variable) for all accessions. Highly polymorphic variables (or descriptors) are ones clearly spread (large variation) among accessions at each of the three test locations. A static stability analysis (Finlay and Wilkinson, 1963; Lin and Binns, 1988; Palanog et al., 2015)was then carried out in Breeding View on variables which were qualified as highly polymorphic. Coefficients of static stability were used to select the most and least stable accessions per descriptor. 

 

 


 RESULTS

Variables that distinguished study accessions

Based on spread in means of study accessions for   measured   traits,  some  variables  were monomorphic while the rest were polymorphic. Out of the 41 variables measured, nine were monomorphic although an analysis of variance (ANOVA) revealed detectable variation (Tables 2 to 4). The monomorphic variables namely plant growth habit (PGH), spines on stem (SOS), stem pubescence (SPU), leaf blade color (LBC), leaf prickles (LPR), fruit curvature (FRC), fruit shape (FRS), fruit color distribution at commercial ripeness (FCDC) and varietal mixture condition (VMC) are shown in Figure 1.

 

 

 

A graphical display of some of the monomorphic descriptors is shown in Figure 2. Some variables which were shown as monomorphic using boxplots were confirmed through the ANOVA as non-significant among accessions (Tables 2 to 4). The remaining 32 variables were generally polymorphic. They include stem ridging (STR), plant height at flowering (PHF), plant canopy breadth (PCB), plant branching (PB), petiole color (PC), petiole length (PL), leaf blade length (LBL), leaf blade width (LBW), leaf blade lobbing (LL), leaf tip angle (LTA), flowering time (FLW), stamen length (STL), petal length (PEL), sepal length (SEL), corolla color (COC) and relative style length (RSL). Others include pollen production (POP), style exsertion (STE), fruit length (FRL), fruit   breadth  (FRB),   fruit   length / breadth  ratio  (FLBR), fruit apex shape (FAS), fruit color at commercial ripeness (FCCR), Fruit color at physiological ripeness (FCPR), fruit position (FPO), fruit calyx length (FCL), fruit cross section (FCS), locules per fruit (LPF), fruit flesh density (FFD), fruits per inflorescence (FRPI), fruit flavor (FFL) and flesh browning (FBR).

 

 

Of the 32 generally polymorphic variables, 17 were only slightly polymorphic. Those that exhibited slight polymorphism include STR, PEL, SEL, COC, RSL, POP, STE, FRL, FRB, FLBR, FAS, FCCR, FCPR, FCL, FCS, LPF and FBR. A graphic display for some of the slightly polymorphic descriptors is shown in Figure 3. The variables that were highly polymorphic include PHF, PCB, PB, PC, PL, LBL, LBW, LL, LTA, FLW, STL, FPO, FFD, FRPI and FFL. Some of the highly polymorphic descriptors are shown in Figure 4. The 15 variables that exhibited high polymorphism are the only ones which were considered in the analysis of accession stability across environments.

 

 

Static stability of accessions across test locations

The   static   stability   represents   consistence  in expression of particular morphological traits across the three locations: Jinja, Mbale and Mukono. Accessions 163, 141, 145, 141 (and 145 and 148), 163P, 184P, 184P, 108, 163P, 148, 184P, 184P, 184G, 108  and  168P  had  the  best stability for PHF, PCB, PB, PC, PL, LBL, LBW, LL, LTA, FLW, STL, FPO, FFD, FRPI and FFL, respectively (Table 5). Accession 184P was most frequent for high static stability followed by 163P.  The least  stable  accessions  were   168P,  168P, 163P, 108, 148, 141, 141, 168P, 148, 141, 148, 137, 137, 183P and 137 for PHF, PCB, PB, PC, PL, LBL, LBW, LL, LTA, FLW, STL, FPO, FFD, FRPI and FFL, respectively. Accessions 168P, 148, 141,  and  137  featured  most  frequently  for  least static stability (thrice each).

 

 

 

 

 

 

 


 DISCUSSION

It was observed that some of the variables had same form (or monomorphic) among accessions across test environments. The monomorphic variables are not useful markers for discriminating among genotypes (Odong et al., 2011; Prohens  et  al.,  2013; Sseremba  et  al., 2017; Sseremba et al., 2018a). The variables namely plant growth habit, spines on stem, stem pubescence, leaf blade color, leaf prickles, fruit curvature, fruit shape, fruit color distribution at commercial ripeness, and varietal mixture condition, cannot be used as descriptors for purposes of identifying distinctiveness among the study accessions. If such monomorphic markers were the only available morphological descriptors, it would necessitate application of deoxyribonucleic acid (DNA) markers which are known for  high discriminative power (Gramazio et al., 2016). The DNA markers are however, very expensive particularly for crops such as the S. aethiopicum whose information on genomic resources is still scanty. Nonetheless, other morphological variables showed discriminative ability (of varying degrees) among the study accessions. Of the seventeen slightly polymorphic variables, only one (that is, stem ridging) was vegetative. The  majority  of  slightly  polymorphic  variables  were reproductive (flower or fruit related), suggesting a low discriminating power for reproductive structures. Similarly, nine (60%) out of fifteen highly polymorphic variables were vegetative, indicating a high discerning power for vegetative structures of S. aethiopicum Shum group (Adeniji et al., 2012).

The highly polymorphic vegetative variables were plant height   at    flowering,    plant    canopy    breadth,    plant branching, petiole color, petiole length, leaf blade length, leaf blade width, leaf lobbing and leaf tip angle while reproductive ones were flowering time, style length, fruit position, fruit flesh density, fruits per inflorescence and fruit flavor. This observation generally agrees with a previous study in the screen house (Sseremba et al., 2017)but slightly deviates from the work of Adeniji et al. (2012)and Prohens et al. (2013). This study and that of Adeniji et al. (2012)were both field-based except the focus was on the leafy (Shum) and all the four recognized morphological groups of S. aethiopicum, respectively. Sseremba et al. (2017)compared the morphological attributes of S. aethiopicum and its progenitor, S. anguivi under screen house conditions; and it was observed that both vegetative and reproductive variates are useful in distinguishing between accessions of the two  species.   It   is  notable  that  S.  aethiopicum Shum is leafy-type while its progenitor is fruit-type (SÄ™kara et al., 2007; Sseremba et al., 2017). This study’s observation that almost all the slightly polymorphic variables were reproductive characters suggests that leafy-type species should be described using vegetative structures (for morphological characterization).

From the static stability results, generally, different accessions showed higher stability for some than the rest of the variables. Accessions with the highest number of variables for best static stability were 184P followed by 163P. Conversely, accessions 168P, 148, 141, and 137 had the highest number of variables for least static stability. The observations suggest that either the parameters measured were at different fixation levels (level of homozygosity of same loci) in different accessions or there is a mere difference in  form   that   a   variable  exhibits  in  relation  to genotype and environment. The possibility of different fixation levels at same loci across accessions can be eliminated on grounds that S. aethiopicum is a predominantly self-pollinating species (Sakhanokho et al., 2014; SÄ™kara et al., 2007); and pure line accessions were used in this study. Therefore, the effect of cross-pollination on genetic variability is ruled out. It is believed that some accessions were environmentally more robust than others on the account of their innate differences in genotype by environment interaction attributes (Donoso-Ñanculao et al., 2016; Kamidi, 2001; Sabaghnia et al., 2012; Temesgen et al., 2015). Thus, accessions 184P and 163P can be considered as the most stable across test environments while 168P, 148, 141, and 137 were the most sensitive. Sseremba et al. (2018b) had earlier obtained similar results when the environments were based on drought stress levels in a screen house study.

 


 CONCLUSION

The study aims at firstly, identifying variables that provide identity of Shum accessions across environments, and secondly, identifying accessions that are stable in morphological traits. From the first objective, it was observed that plant height at flowering, plant canopy breadth, plant branching, petiole color, petiole length, leaf blade length, leaf blade width, leaf lobbing, leaf tip angle, flowering time, style length, fruit position, fruit flesh density, fruits per inflorescence and fruit flavor are effective in distinguishing among Shum group accessions of S. aethiopicum. In the second objective, it was observed that accessions 184P and 163P were the most statically stable across test environments while 168P, 148, 141, and 137 were the least robust in conserving their morphological traits. A further study on static stability of Shum group genotypes that considers a more diverse source of accessions and additional testing environments is recommended so as to broaden the scope of inference for polymorphic descriptors of the subspecies. A combined use of molecular and morphological markers on same accessions is also recommended for further study; as it could play a cross-check role in attributing the observed morphological differences.  


 CONFLICT OF INTERESTS

The authors have not declared any conflict of interests.

 


 ACKNOWLEDGEMENTS

This study was funded by European Union through the initiative – Promoting African and European Partnerships in Agricultural Research and Development (PAEPARD), under Forum for Agricultural Research in Africa (FARA) on a project titled ‘Enhancing nutrition security and incomes through adding value to indigenous vegetables in East and Central Uganda (FARA/PAEPARD-CRFII)’. Appreciation is also extended to the project partners: Dr. John Jagwe (Farmgain Africa), Dr. Apolo Kasharu (CHAIN UGANDA) and Dr. Debbie Rees (Natural Resources Institute, University of Greenwich, UK.

 



 REFERENCES

Abbiw DK (1997). Traditional vegetables in Ghana. Promoting the Conservation and Use of Underutilized and Neglected Crops (IPGRI). Biodiversity International. 

 

Abukutsa-Onyango MO, Adipala E, Tusiime G, Majaliwa JGM (2010). Strategic repositioning of African indigenous vegetables in the Horticulture Sector. In Second RUFORUM Biennial Regional Conference on "Building capacity for food security in Africa", Entebbe, Uganda, 20-24 September 2010 (pp. 1413-1419). RUFORUM. 

View

 
 

Adeniji OT, Kusolwa PM, Reuben SOWM (2012). Genetic diversity among accessions of Solanum aethiopicum L. groups based on morpho-agronomic traits. Plant Genetic Resources 10(03):177-185.
Crossref

 
 

Adeniji OT, Kusolwa P, Reuben S (2013). Morphological descriptors and micro satellite diversity among scarlet eggplant groups. African Crop Science Journal 21(1):37-49.

 
 

Balestre M, de Souza JC, Von Pinho RG, de Oliveira RL, Paes JMV (2009). Yield stability and adaptability of maize hybrids based on GGE biplot analysis characteristics. Crop Breeding and Applied Biotechnology 9(3):219-228.
Crossref

 
 

Bationo-Kando P, Sawadogo B, Nanema K, Kiebre Z, Sawadogo N, Traore RE, Sawadogo M, Zongo J (2015). Characterization of Solanum aethiopicum (Kumba group) in Bukina Faso. International Journal of Science and Nature 6(2):169-176.

 
 

Becker HC, Leon J (1988). Stability analysis in plant breeding. Plant Breeding 101(1):1-23.
Crossref

 
 

Bisamaza M, Banadda N (2017). Solar drying and sun drying as processing techniques to enhance the availability of selected African indigenous vegetables, Solanum aethiopicum and Amaranthus lividus for nutrition and food security in Uganda. African Journal of Food Science and Technology 8(1):001-006.

 
 

Cernansky R (2015). Super vegetables. Nature 522(7555):146.
Crossref

 
 

Donoso-Ñanculao G, Paredes M, Becerra V, Arrepol C, Balzarini M (2016). GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate. Chilean Journal of Agricultural Research 76(2):152-157.
Crossref

 
 

Eberhart S, Russell W (1966). Stability parameters for comparing varieties. Iowa Agriculture and Home Economics, United States of America. Crop Science 6(1):36-40.
Crossref

 
 

Ebert A (2014). Potential of Underutilized Traditional Vegetables and Legume Crops to Contribute to Food and Nutritional Security, Income and More Sustainable Production Systems. Sustainability 6(1):319-335.
Crossref

 
 

Food and Agriculture Organization (FAO) (2005). Building on gender, agrobiodiversiy and local knowledge. Food and Agriculture Organization of the United Nations.

 
 

Finlay KW, Wilkinson GN (1963). The analysis of adaptation in a plant-breeding programme. Crop and Pasture Science 14(6):742-754.
Crossref

 
 

Gramazio P, Blanca J, Ziarsolo P, Herraiz FJ, Plazas M, Prohens J, Vilanova S (2016). Transcriptome analysis and molecular marker discovery in Solanum incanum and S. aethiopicum, two close relatives of the common eggplant (Solanum melongena) with interest for breeding. BMC Genomics 17(1). 
Crossref

 
 

Horna D, Gruere G (2006). Marketing underutilized crops for biodiversity: the case of African garden egg (Solanum aethiopicum) in Ghana. In 8th Bioecon Conference. Kings College, Cambridge. pp. 29-30.

 
 

Kamidi RE (2001). Relative stability, performance, and superiority of crop genotypes across environments. Journal of Agricultural, Biological, and Environmental Statistics 6(4):449-460.
Crossref

 
 

Kouassi A, Béli-Sika E, Tian-Bi T, Alla-N'Nan O, Kouassi A, N'Zi JC, Tio-Touré B (2014). Identification of Three Distinct Eggplant Subgroups within the Solanum aethiopicum Gilo Group from Côte d'Ivoire by Morpho-Agronomic Characterization. Agriculture 4(4):260-273.
Crossref

 
 

Lin C, Binns M (1988). A superiority measure of cultivar performance for cultivar x location data. Canadian Journal of Plant Science 68:193-198.
Crossref

 
 

Mendes de Paula TO, Marinho CD, Souza V, Barbosa MHP, Peternelli LA, Kimbeng CA, Zhou MM (2014). Relationships between methods of variety adaptability and stability in sugarcane. Genetics and Molecular Research 13(2):4216-4225.
Crossref

 
 

Odong TL, van Heerwaarden J, Jansen J, van Hintum TJL, van Eeuwijk FA (2011). Determination of genetic structure of germplasm collections: are traditional hierarchical clustering methods appropriate for molecular marker data?. Theoretical and Applied Genetics 123(2):195-205.
Crossref

 
 

Ojiewo C, Tenkouano A, Hughes JA, Keatinge JDH (2013). Diversifying diets: using indigenous vegetables to improve profitability, nutrition and health in Africa. Diversifying Food and Diets No. 291.

 
 

Omulo D (2016). Value addition on traditional vegetables: an impact assessment on women farmers in Lugari, Kenya. University of Nairobi, Nairobi, Kenya.

 
 

Osei MK, Banful B, Osei CK, Oluoch MO (2010). Characterization of African eggplant for morphological characteristics. Nong Ye Ke Xue Yu Ji Shu 4(3):33.

 
 

Palanog A, Endino-Tayson C, Ciocon IM, Ines LT, Tizon B, Bibar JE, Libetario E (2015). Grain yield performance and stability analysis of rice varieties under rainfed lowland conditions of Western Visayas, Philippines. The Asian International Journal of Life Sciences 24(1):399-408.

 
 

Pincus LM (2015). Increasing indigenous vegetable yield and nutritional quality through traditionally-and scientifically-informed soil fertility management. University of California, Davis. ProQuest LLC. 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, MI 48106 – 1346.

 
 

Prohens J, Whitaker BD, Plazas M, Vilanova S, Hurtado M, Blasco M, Stommel JR (2013). Genetic diversity in morphological characters and phenolic acids content resulting from an interspecific cross between eggplant, Solanum melongena, and its wild ancestor (S. incanum) : Morphology and phenolics in an interspecific family in eggplant. Annals of Applied Biology 162(2):242-257.
Crossref

 
 

Rémi WS, Oluoch M, Silué D (2005). Improvement and distribution of seed of selected African indigenous vegetables for enhancing the livelihood of small-scale farmers in sub- Saharan Africa (Poster) (p. 1). Arusha, Tanzania: AVRDC-World Vegetable Center-Regional Center for Africa.

 
 

Rubaihayo E, Hart T, Kakonge E, Kaaya A, Kawongolo J, Kabeere F, Rubaihayo P (2003). Development of mechanisms for sustainable production and utilisation of indigenous vegetables and management of their genetic diversity in Uganda. Unpublished Report. Faculty of Agriculture, Makerere University Kampala.

 
 

Sabaghnia N, Karimizadeh R, Mohamadi M (2012). Genotype by environment interaction and stability analysis for grain yield of lentil genotypes. Žemdirbyst 99(3):305-312.

 
 

Sakhanokho HF, Islam-Faridi MN, Blythe EK, Smith BJ, Rajasekaran K, Majid MA (2014). Morphological and Cytomolecular Assessment of Intraspecific Variability in Scarlet Eggplant (Solanum aethiopicum L.). Journal of Crop Improvement 28(4):437-453.
Crossref

 
 

SÄ™kara A, Cebula S, Kunicki E (2007). Cultivated eggplants–origin, breeding objectives and genetic resources, a review. Folia Horticulturae 19(1):97-114.

 
 

Ssekabembe CK (2008). Effect of Proportion of Component Species on the Productivity of Solanum aethiopicum and Amaranthus lividus under Intercropping. African Journal of Agricultural Research 3(7):510-519.

 
 

Ssekabembe CK, Bukenya C, Nakyagaba W (2003). Traditional knowledge and practices in local vegetable production in central Uganda. African Crop Science Conference proceedings 6:4-19.

 
 

Sseremba G, Tongoona P, Eleblu JSY, Danquah EY, Kizito EB (2018a). Linear discriminant analysis of structure within African eggplant 'Shum'. African Crop Science Journal 26(1):37-48.
Crossref

 
 

Sseremba G, Tongoona P, Eleblu JSY, Danquah EY, Kaweesi T, Baguma Y, Masanza M, Kizito EB (2018b). Stability of Solanum aethiopicum Shum accessions under varied water deficit stress levels and identification of pertinent breeding traits for resistance to water shortage. Euphytica 214(11):1-11.
Crossref

 
 

Sseremba G, Tongoona P, Eleblu JSY, Danquah E, Kabod NP, Kizito EB (2017). Morphological distinctiveness between Solanum aethiopicum Shum group and its progenitor. Journal of Plant Breeding and Crop Science 9(8):118-129.

 
 

Stone A, Massey A, Theobald M, Styslinger M, Kane D, Kandy D, Davert E (2011). Africa's indigenous crops: State of the world 2011. Worldwatch Institute.

View

 
 

Temesgen T, Keneni G, Sefera T, Jarso M (2015). Yield stability and relationships among stability parameters in faba bean (Vicia faba L.) genotypes. The Crop Journal 3(3):258-268.
Crossref

 
 

UPOV (2002). General introduction to the examination of distinctness, uniformity and stability and the development of harmonized descriptions of new varieties of plants. TG/1/3.ed. International Union for the Protection of New Varieties of Plants.

 
 

 




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