Multivariate Analysis as a Tool for Indirect Selection of Common Bean Genotypes (Phaseolus ( vulgaris L) for Soil Acidity Tolerance under Field Conditions
Keywords:
Biplot, Soil acidity, Cluster, Genotypes, Principal Component, Soil Acidity Tolerance, Western-South EthiopiaAbstract
A field experiment was conducted to evaluate soil acidity tolerance of 25 common bean (Phaseolus vulgaris L.) genotypes on lime-treated and lime-untreated acid soils. The twenty- five common bean genotypes were tested in a randomized complete block design with two replications per treatment in 2009 in western Ethiopia. Morpho-agronomic parameters were recorded to evaluate the genotypes. Multivariate methods, including principal component and cluster analysis were used to assess the patterns of morpho-agronomic variation to group the genotypes into distinct categories. The genotype bi trait (GT) bi-plot was used to identify the best traits that are important to identify tolerant genotype and to know the relationships between traits and genotypes. The principal component analysis indicated that the first three principal components contributed 64.6 and 66.1% of the total variability among the 25 common bean genotypes grown on the lime-untreated and lime-treated soils, respectively. Among the measured traits, plant height, number of pods per plant, days to pod setting, grain yield, days to flowering and maturity, biomass yield, and 100 seed weight were the parameters that most significantly caused the variations among the genotypes. Genotype by trait (GT) bi-plot led to grouping of the tested genotypes into four categories based on PC1 and PC2 values and also enabled to identify traits such as number of pods per plant, plant height, pod length, 100 seed weight, and grain yield, which were found to be the most responsive characters in evaluating the genotypes for tolerance to soil acidity. The cluster analysis led to classification of the 25 common bean genotypes in to four groups, the first group (cluster) of which contained four genotypes of BILFA material (new BILFA 38, new BILFA 58, New BILFA 61, and new BILFA 60) that outperformed genotypes in the other group (clusters) when grown on lime-untreated acid soil. In conclusion, the results of this study have revealed that multivariate analysis can be used as an indirect method of selecting high-yielding common bean genotypes having the most important desirable traits that contribute to soil acidity tolerance.
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Akcura, M. (2011). The relationships of some traits in Turkish winter bread wheat Landraces. Turkish Journal of Agriculture and Forestry 35:115-125.
Badu-Apraku, B. and Akinwale R.O. (2011). Cultivar evaluation and trait analysis of tropical early maturing maize under Striga and Striga-free environments. Field Crops Research 121:186-194.
Burchara, R. Chirwa, R., Sperling, L., Mukankusi, C. Rubyogo, J.C., Muthoni, R. & Abang, M. (2011). Development and Diversity of bean Varieties in Africa: The Pan Africa bean Research Alliance model. African Crop Science Journal 19(4):227-245.
Castineiras, L. (1990). Analysis de descriptors del frijol comum (Phaseolus vulgaris) mediante methods multivariate. Ciencia de la Agricultura 39:108-113.
Choudhary, A.K., Singh, D., Iquebal, M.A. (2011). Selection of pigeonpea genotypes for tolerance to aluminum toxicity. Plant Breeding 130(4):492-495.
Dahlgren, R.A., Saigusa, M., Ugolini, F.C. (2004). The nature, properties and management of volcanic soils. Advances in Agronomy 82:113-182.
Hornakova, O., Zavodna, M., Zakova, M., Kraic, J. and Debre, F. (2003). Diversity of common bean landraces collected in the western and eastern Carpatien. Czech Journal Genetics and Plant Breeding 39:73-83.
ISAR (2011). Bean Program, Rwanda Agricultural Research Institute. http://www.isar.rw/spip.php.
Lee, S.J., W. Yan, K.A. Joung and Ill, M.C. (2003). Effects of year, site, genotype, and their interaction on the concentration of various is oflavones in soybean. Field Crops Research 81:181-192
Ober, E.S., M.L. Bloa, C.J.A. Clark, Royal, A. Jaggard
K.W and Pidgeon J.D. (2005). Evaluation of physiological traits as indirect selection criteria for drought tolerance in sugar beet. Field Crops Research 91:231–249.
SAS Institute Inc. (2004). SAS/STAT User's Guide: Version 9.1th edn. Cary, North Carolina.
Stoilova, T., Pereira, G., Tavares de Sousa, M.M., Carnide, V. (2005). Diversity in common bean landraces (Phaseolus vulgaris L.) from Bulgaria and Portugal. Journal of Central European Agriculture 6: 443-448.
Tesfaye, M., Temple, S.J., Allan, D.L., Vance, C.P. and Samac, D.A. (2001). Over expression of malatedehydrogenase in transgenic alfalfa enhances organic acid synthesis and confers tolerance to aluminum. Plant Physiology 127: 1836–1844.
Tesso, B. (2007). Yield and canning quality attributes of Navy beans (Phaseolus vulgaries L.) as influenced by genotype and environment. MSc. Thesis, Haramaya University
Uguru, M.I., Oyiga, B.C.. Jandong, E.A. (2012). Responses of Some Soybean Genotypes to Different Soil pH Regimes in two Planting Seasons. The African Journal of Plant Science & Biotechnology, 6(1):26-37.
Von Uexkull, H.R. and Mutert, E. (1995). Global extent, development and economic impact of acid soils. In: RA Date, NJ Grundon, GE Raymet, ME Probert, eds, Plant-Soil Interactions at Low pH: Principles and Management. Kluwer Academic Publishers, Dordrecht, the Netherlands, pp 5-19.
Yan, W. and Kang M.S. (2003). GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton, FL.
Yan, W. and Rajcan I. (2002). Biplot evaluation of test sites and trait relations of soybean in Ontario. Crop Science 42:11–20.
Yan, W., Reid, J.F. (2008). Breeding Line Selection Based on Multiple Traits. Crop Science 48:417-423.
Yan, W., Hunt, L.A., Sheng, Q. and Szlavnics, Z. (2000). Cultivar evaluation & mega-environment investigation based on GGE biplot. Crop Science 40:596–605.
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