Full Length Research Paper
ABSTRACT
INTRODUCTION
Yam represents an important component of West African agriculture and contributes to the food security for large parts of the populations of West Africa, particularly in Benin. In addition to its economic and nutritional values, yam also plays a significant role in the cultural life of rural communities in Benin (Zannou et al., 2004; Zannou et al., 2007). Yam production and yield patterns are of economic importance to the livelihood of farmers in the region (Oluwasusi and Tijani, 2013). Little information exists on agronomic and morphological characteristics.
Doing research with farmers and working on the agronomical and physiological constraints to develop adaptive technology emphasised the need to really understand the genetic diversity of crop traits (Zannou et al. 2004). Recent studies have also shown the necessity to put more emphasis on farm management of genetic resources (Zoundjihékpon et al., 1997; Pardey et al., 1999; Jarvis et al., 2000). Phenotypic performance reflects the joint influence of non-genetic and genetic factors (Brennan and Byth, 1979). The genotype by environment interaction is a phenomenon in which the relative performance of genotypes varies with environmental conditions and is attributed to the dependence of expression of underlying genes or quantitative trait loci on environments (Yin et al., 2004). As working and doing research with farmers for better technology development is a core principle of the Convergence of Sciences approach (Zannou et al., 2004), this paper aimed at characterizing the different varieties of yam in Benin using different morphological and agronomic techniques.
MATERIALS AND METHODS
Plant material
Tubers of 70 cultivars of the Dioscorea cayenensis - D. rotundata and 20 cultivars of D. alata were collected from farmers across the transitional Guinea-Sudan zone of Benin and were subsequently planted to analyze their morphological characteristics (Table 1). Over 2 years, the agronomic potential and seed tuber behaviour of 27 of the D. cayenensis - D. rotundata and 17 of the D. alata varieties were assessed.
Morphological analysis: Qualitative plant and tuber characteristics
Data were collected and analyzed on three different groups of variables. These groups comprised eight tuber flesh characteristics; ten characteristics relating to the external morphology of the tubers, and eight leaf or stem characteristics. The eight variables of tuber flesh characteristics were hardness, skin colour, flesh colour, uniformity of the colour at the central section of the tuber, oxidation time, oxidation colour, flesh texture, and skin thickness (Table 2a). The ten variables relating to the tuber’s external morphology were tuber shape, forking, forking position, spine presence on tuber, spine abundance of rootlets, small excrescences on tuber, presence on tuber of wrinkles, presence on tuber of cracks, abundance of rootlets and relations between tubers from the same plant (Table 2b). The eight traits of the leaf and stem were presence of wings, wing colour, presence of spines, coloured base of the spine, leaf shape, leaf colour, stem colour, and petiole colour (Table 2c). These observations are in line with indicators used by farmers and with yam descriptors (IPGRI-IITA 1997).
Agronomic evaluation of yam varieties: Genotype by environment interaction Yield data (kg/heap) were collected during 2003 and 2004 based on the agronomic performance of three yam species. The data set included 27 D. cayenensis - D. rotundata and 17 D. alata varieties.
Morphological and agronomic data analysis
Qualitative tuber, leaf and stem morphology characteristics
The variables of the qualitative tuber, leaf and stem characteristics were encoded into 2 to 7 classes. Frequency distributions were performed for these qualitative tuber, leaf and stem morphology variables. The frequency distributions were used to calculate the Shannon-Weaver diversity index (H’) for each character (Grenier et al., 2004) according to the formula:
where n is the number of phenotypic classes, pi the frequency of the observation in the ith classes. Due to its additive property, the indices of all characteristics were pooled over the characteristics and the global phenotypic diversity was estimated by the mean index value using SAS 8 program (SAS Institute Inc., 1999). In this paper, data were analysed on 70 D. cayenensis - D. rotundata and 20 D. alata farmer varieties, all of which were different according to morphological criteria.
Genotype by environment interaction
An integrated full interaction analysis of variance was carried out. Such analysis describes the phenotypic responses and allows for differential environmental sensitivity between genotypes based on the regression on the mean model of differences in environmental sensitivity (Finlay and Wilkinson, 1963; van Eeuwijk et al., 2005). The principle of this model is that in the absence of explicit physical or meteorological characterizations of an environment, a good approximation of the general biological quality of the environment is given by the average phenotypic performance across the genotypes (van Eeuwijk et al., 2005). The phenotypic responses of individual genotypes are then regressed on the average performance, and the genotype by environment interaction expresses itself by differences in the slopes between the genotypes. This regression on mean model can be written as follows:
where the genotype by environment interaction is modelled as differential genotypic sensitivity and represented by the parameters βi to environmental characterization Ej, with the average sensitivity being zero.
In this paper, the Generalized Linear Model of Analysis of Variance (GLM ANOVA) under SAS was performed to analyze the variation of yield components in response to change in year effects. The GLM ANOVA is appropriate especially for unbalanced data, where there are unequal numbers of observations for the different combinations of class variables specified in the model structure. With this ANOVA, the yield was analyzed. The following effects were considered for each variety-type (early or late maturing) and each species: Genotype (farmer-named variety), Year (2003-2004), and Genotype × Year. The data set for the genotype by environment interaction analysis included 27 D. cayenensis - D. rotundata and 17 D. alata varieties. These data were analysed using a general linear model for the pooled analysis of variance across years using the SAS program (SAS Institute Inc., 1999). The Student-Newman-Keuls (SNK) multiple range means comparison test was used to separate genotypes with different yield performance.
Genetic expression variability
The Expected Mean Squares (EMS) for the genotypic variance components (Becker, 1984; Comstock, 1996; Hebert et al., 1998; Li et al., 1998) are:
Where r is the number of replications. From the Mean Square calculated and the EMS (Genotypes), the genetic variance, the genetic coefficient of variance (GCV), the Genotype × Year variance component and the environmental variance were estimated. The Student-Newman-Keuls (SNK) multiple range means comparison test was used to separate genotypes with different yield performance.
RESULTS
Morphological diversity of yam
The tuber flesh of different varieties of Dioscorea cayenensis - D. rotundata presented different colours, texture, oxidation colour, oxidation time, and ability to irritate (Table 2a). Various tuber shapes and forking tendencies were observed (Table 2b). The D. cayenensis - D. rotundata varieties were characterized as wingless. While some varieties were spineless, others were marked with few or dense spines. On young plants 30 days after emergence, the abundance of spines varied from one variety to another. Some varieties had a few spines at the first internodes, but the rest of the stems (main and secondary ones) were spineless (DCR-11). Some varieties were characterized by robust stem and dense spines (DCR-6, DCR-4, DCR-1, DCR-19, and DCR-32); the stems of others were thin but had dense spines (DCR-7, DCR-3, DCR-15, and DCR-8). The size of spines also varied: short (DCR-57) or prickled (DCR-36) spines. Very small leaves and numerous stems (14 - 24 stems as for DCR-54). On adult plants, there was variation in leaf shape, stem and leaf colour (Table 2c).
Dioscorea alata varieties were characterized by differences in the colours of the skin or flesh of the tubers (Table 2a). There is a high variation in tuber shape as reflected by presence and position of forking. There were also differences in abundance of presence of rootlets on tubers (Table 2b). Dioscorea alata varieties were all characterized by spineless and winged stems, pentagonal or quadrangular at the basis of the stem, but changing to triangular towards the top (Table 2c). On young plants (30 days after emergence), the leaf shape was variable: oval, long and lanceolate, or funnel-shaped. Various leaf colours, ranging from slight green, green, to red-purple, were observed (Table 2c). Some varieties also showed red-purple petioles. The petiole was red-purple mainly at the insertion point of the leaf on the stem. The number of stems emerging from the planted materials varied from 1 to 10, depending on the variety. On adult plants there was a high variation in stem shape and leaf shape). On average for the characteristics considered, the mean Shannon-Weaver index was 0.86 for the external morphology of the tuber, 0.55 for tuber flesh characteristics, and 1.13 for stem and leaf morphology.
Agronomic evaluation of yam varieties
Genotypic variability
Table 3 presents the mean yield (kg/heap) per variety and shows the variation of the yield from one year to another. The mean yield varied from 0.83 to 3.12 kg/heap in 2003 and from 0.95 to 4.73 kg/heap in 2004 for the early maturing varieties of the D. cayenensis - D. rotundata. The pooled mean over 2003 and 2004 varied between 0.89 and 3.30 kg/heap. On average, the mean yield of the late maturing varieties of the D. cayenensis – D. rotundata varied between 0.86 to 2.46 kg/heap in 2003 and between 1.15 and 3.81 kg/heap in 2004. The pooled mean for these late varieties ranged from 0.94 to 3.03 kg/heap.
The D. alata varieties were essentially all late maturing. The mean yield of D. alata varied from 1.01 to 3.22 kg/heap in 2003 and between 1.07 and 5.26 kg/heap in 2004, with a pooled mean ranging from 1.45 to 4.17 kg/heap over the two years.
Table 4 provides the variance components using the GLM-ANOVA as described in the methodology section. Varieties showed highly significant differences (significance level p<0.01). The year effect was highly significant for variety-type group and species (p<0.01). This year effect was larger than the genotypic effect. The genotype by year interaction effects were also highly significant (p<0.01).
Genetic variability
After removing the year and genotype by year interaction from the total genotypic variation, the genetic variance component remained significant for the two species with large numbers of varieties included in the analysis (Table 5). For the early-maturing varieties of D. cayenensis – D. rotundata genotypes, the genetic variance was greater in 2004 (2.34) than in 2003 (1.29). For the late-maturing varieties, the environmental variance was greater than the genetic variance both in 2003 (0.69 and 0.29, respectively) and 2004 (3.36 and 2.02, respectively). For the D. alata genotypes, the genetic variance was greater in 2003 (1.05) but lower than the environmental variance in 2004 (3.36). Over the two years, the environmental variance was greater than the genetic variance for both species groups. There was a large non-genetic component in the phenotypic behaviour of these two species groups of yams. Moreover, the D. cayenensis – D. rotundata genotypes responded differently to the year effect compared to D. alata genotypes.
Grouping varieties based on the mean yield
The Student-Newman-Keuls (SNK) test was used to separate the different varieties based on the mean yield over the two years (Table 3). Means followed by the same letters are not significantly different at the level of 0.05. That test separates the early-maturing varieties of the D. cayenensis - D. rotundata into 11 groups, while the late ones were grouped into two groups. The highest yields were obtained by Anago (3.30 kg/heap), Adigbili (3.04 kg/heap) and Alakitcha (3.03 kg/heap) and the lowest by Affo (0.89 kg/heap), Baniwouré (0.94 kg/heap), Kokorogbarou (1.03 kg/heap) and Dibiri (1.05 kg/heap).
Eight groups were distinguished for D. alata varieties. Three of the groups composed of individual variety (Djekin, Sankou-garkou, Sankou-souan) showed the highest yields (4.17; 3.44 and 3.37 kg/heap, respectively) (Table 3). The lowest yield was obtained for the group with the varieties Hounvè, Dangbéko and Sankou-wa.
DISCUSSION
This paper has analysed in-depth various relevant morphological and agronomic traits characterizing cultivated yam varieties in the Guinea Sudan zone of Benin. Among the qualitative morphological characteristics, internal and external morphology of the tuber and the stem and leaf characteristics form groups of distinctive traits that allow farmers and consumers to differentiate between varieties and guide farmers and consumers in their choice of planting materials and food choices. Classification systems help to identify the primary responses that exist in a species, which aids plant breeders and agronomists in their choice of the most appropriate germplasm and testing environments (Ehlers and Hall 1996). The joint experimental approach described is likely to form classifications embodying both breeders and farmers interests. Oluwasusi and Tijani (2013) analysed farmers’ adaptation strategies to the effect of climate variation on yam production in Nigeria and found that there is significant difference in the level of production of farmers across the years. Their study suggested the need for increased research and development of innovation for sustainable yam cropping in the face of climate variation.
The earliness, post-harvest dormancy, number of days after planting to emergence, and the yield are important agronomic and physiological characteristics of yam diversity in Benin. In experimenting under real farmer conditions, this study has revealed that the duration of dormancy depends not only on the species but also on the variety, the physical storage conditions and the duration of the storage. Passam (1982) found that the duration of dormancy does not only depend on the plant but is also influenced by physical factors.
Work also confirmed that as the environmental conditions change from year to year there is variation in the yield of the same variety. This study has shown that the genotype by environment interaction was highly determinant of yam performance. For important agronomic characteristics, the differential response of a genotype or cultivar for a given trait is an important and essential component of plant breeding programs dedicated to cultivar development (Campbell and Jones, 2005), and is thus also of great importance for farmers. In selecting for better plant types in white and yellow yams information on the quantitative inheritance of important plant characters is needed. Tewodros and Getachew (2013) have analysed the qualitative and quantitative traits among the accessions of the aerial yam, Dioscorea bulbifera and revealed that the phenotypic variance was contributed from the genotypic and environmental variances. They suggested that profound descriptions of accessions based on genetic variance are to have significant impact on the genetic improvement of the crop, and that selection based on these characters are efficient to maximize the yield of the yam.
Most of the D. alata varieties (65%) yielded more than 2 kg/heap. The most widely cultivated D. alata variety Florido (Zannou et al., 2004) did not perform as well as the other D. alata varieties. This result suggests that the choice of this variety Florido by many farmers is not related to its high yield performance, but to the quality of the tuber, storability and perhaps other agronomic characteristics.
CONCLUSION
The current study suggests that the Guinea Sudan zone of Benin represents a very large gene-pool of yam varieties. Yam farmers in Benin, with their continuous commitment to domestication of material from the wild, clearly play a significant role in the enrichment and the maintenance of the genetic diversity of yam cultivars. Their participation in the research, and perception of the benefits of such participation, suggest new ways of designing research projects to enhance impact.
CONFLICT OF INTEREST
The author(s) have not declared any conflict of interests.
ACKNOWLEDGMENTS
The assistance and cooperation of the farmers, the researchers of the National Agricultural Research Institute of Benin (INRAB) and the representatives of the extension service in the study area are gratefully acknowledged.
REFERENCES
Becker WA (1984). Manual of quantitative genetics. Fourth edition, Pullman, Washington. |
|
Brennan PS, Byth DE (1979). Genotype x environmental interactions for wheat yields and selection for widely adapted wheat genotypes. Aust. J. Agric. Res. 30:221-232. |
|
Campbell BT, Jones MA (2005). Assessing of genotype x environment interactions for yield and fiber in cotton performance trials. Euphytica 144:69-78. |
|
Comstock RE (1996). Quantitative genetics with reference to plant and animal breeding. Iowa State University Press, Ames, Iowa. |
|
Ehlers JD, Hall AE (1996). Genotypic classification of cowpea based on responses to heat and photoperiod. Crop Sci. 36:673-679. |
|
Finlay KW, Wilkinson GN (1963). The analysis of adaptation in a plant breeding programme. Austr. J. Agric. Res. 14:742-754. |
|
Grenier C, Bramel PJ, Dahlberg JA, El-Ahmadi A, Mahmoud M, Peterson GC, Rosenow DT, Ejeta G (2004). Sorghums of the Sudan: analysis of regional diversity and distribution. Gen. Res. Crop Evol. 51:489-500. |
|
Hebert KP, Goddard PL, Smoker WW, Gharrett AJ (1998). Quantitative genetic variation and genotype by environment interaction of embryo development rate in pink salmon (Oncorhynchus gorbuscha). Can. J. Fish. Aqua. Sci. 55:2048-2057. |
|
IPGRI-IITA (1997). Descriptors for yam (Dioscorea spp.). International Institute of Tropical Agriculture, Ibadan, Nigeria / International Plant Genetic Resources Institute, Rome, Italy. |
|
Jarvis DI, Myer L, Klemick H, Guarino L, Smale M, Brown AHD, Sadiki M, Sthapit B, Hodgkin T (2000). A training guide for in situ conservation on-farm. Version 1. Rome: International Plant Genetic Resources Institute. |
|
Li R, Kang MS, Moreno OJ, Pollak LM (1998). Genetic variability in exotic x adapted maize (Zea mays L.) germplasm for resistance to maize weevil. Plant Gen. Res. Newsl. 114:22-25. |
|
Oluwasusi JO, Tijani SA (2013). Framers adaptation strategies to the effect of climatic variation on yam production: a case study in Ekiti State, Nigeria. Agrosearch 13(2):20-31. |
|
Pardey PG, Koo B, Wright BD, van Dusen ME, Skovmand B, Taba S (1999). Costing the ex situ conservation of genetic resources: maize and wheat at CIMMYT. EPTD Discussion Paper N° 52, IFPRI, Washington DC. |
|
Passam HC (1982). Dormancy of yam in relation to storage. In: Miege J, Lyonga N (eds) Yams. Ignames, pp. 285-293.Oxford: Oxford Unversity Press. |
|
SAS Institute Inc. (1999). SAS/STAT User's Guide, Version 8. SAS Institute Inc., Cary NC. |
|
Tewodros M, Getachew W (2013). Agronomical evaluation of aerial yam Dioscorea bulbifera accessions collected from South and Southwest Ethiopia. Greener J. Agric. Sci. 3(9):693-704. |
|
van Eeuwijk FA, Malosetti M, Yin X, Struik PC, Stam P (2005). Statistical model for genotype by environmental data: from conventional ANOVA models to eco-physiological QTL models. Austr. J. Agric. Res. 56:883-894. |
|
Yin X, Struik PC, Kropff MJ (2004). Role of crop physiology in predicting gene-to-phenotype relationships. Trends Plant Sci. 9(9):426-432. |
|
Zannou A, Ahanchédé A, Struik PC, Richards P, Zoundjihékpon J, Tossou R, Vodouhè S (2004). Yam and cowpea diversity management by farmers in the Guinea Sudan transition zone of Benin, NJAS 52(3-4):393-420. |
|
Zannou A, Tossou RC, Vodouhè S, Richards P, Struik PC, Zoundjihékpon J, Ahanchédé A, Agbo V (2007). Socio-cultural factors influencing and maintaining yam and cowpea diversity in Benin. Int. J. Agric. Sust. 5(2-3):140-160. |
|
Zoundjihékpon J, Dansi AA, Mignouna HD, Kouakou AM, Zongo JD, N'Kpenu EK, Sunu D, Camara, F, Kourouma S, Sanou J, Sanou H, Belem J, Dossou RA, Vernier Ph, Dumont R, Hamon P, Tio-Touré B (1997). Management of genetic resources of African yams and in situ conservation. In: Proceedings of the workshop "Management of genetic resources of plants in savannah region of Africa, Bamako, Mali, 24-28 February 1997, Coll. CNRS-IER, Bamako, Mali. pp. 121-128. |
|
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