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Title: Evaluation of Chickpea (Cicer arietinum L.) Genotypes for Genetic Parameters and Drought Tolerance
Authors: Hussein, Ahmed
Advisors: Kifle Dagne(Dr.)
Million Eshete(Dr.)
Keywords: Chickpea
drought tolerance indices
heritability
path analysis
Copyright: Mar-2011
Date Added: 4-Jul-2012
Abstract: Chickpea (Cicer arietinum L.) is one of the important cool season food legumes. Chickpea production is affected by various abiotic and biotic constrains which penalize seed yields. Among them, drought is known to cause substantial reduction in the seed yield of the crop. This study was conducted to evaluate chickpea genotypes for genetic parameters and drought tolerance. A total of 18 test chickpea genotypes (9 kabuli and 9 desi) together with four checks (2 kabuli and 2 desi) were studied under moisture stress and non-stress conditions in pot experiments at Debre Zeit Agricultural Research Center during 2009/2010. A randomized complete block design with three replications was used. Analysis of variance revealed significant genetic variation among the genotypes for almost all the measured traits. Mean comparisons showed that genotype ICC- 16798 produced higher seed yield under moisture stress and non-stress. Genotypic and phenotypic variances were high for biological yield followed by days to 50% flowering in both water levels. However, the maximum genotypic coefficient of variation was obtained for number of seeds and number of pods per plant under moisture stress and non-stress conditions. Similarly, high phenotypic coefficient of variation was observed for seed yield followed by number of seed and number of pods per plant in both conditions. Broad sense heritability estimates ranged from medium to high. High heritability was recorded for 100 seed weight and days to 50% flowering. High heritability, coupled with high genetic advance values, was also observed for 100 seed weight and days to 50% flowering in both conditions. Moreover, there were significant positive correlation between seed yield with number of pods per plant, number of seeds per plant, harvest index and biological yield. It was also found that the correlations between seed yield with number of days to 50% flowering and days to 90% maturity were negative and significant. Phenotypic path coefficient analysis revealed that harvest index and biological yield had high positive direct effect on seed yield under both moisture stress and non-stress conditions. Similarly, multiple linear regression analysis showed that biological yield and harvest index have contributed significantly towards seed yield in non-stress condition. In stress condition, number of secondary branches, number of pods per plant, biological yield and harvest index have contributed significantly towards seed yield. Multiple statistical analyses showed that considerable influences of harvest index and biological yield were common to both conditions. Therefore, selection pressure should be directed towards these traits to improve the seed yield stability across different water levels. Based on the yields of genotypes under moisture non-stress (YP) and stress (YS) conditions, several quantitative drought tolerance indices, mean productivity (MP), tolerance index (TOL), geometric mean productivity (GMP), harmonic mean (HARM), drought susceptibility index (DSI) and drought tolerance index (DTI) were used to evaluate drought responses of these genotypes. They showed that correlation coefficients of seed yield with geometric mean productivity, drought tolerance index and harmonic mean indices in both conditions were high and positively significant. These revealed that selection could be conducted for high values of GMP, DTI and HARM under both conditions for chickpea breeding programs to introduce high yielding and drought tolerant genotypes. According to the indices and biplot analysis, it is concluded that ICC-16798, ICCRIL-04-0258, ICC-11198, ICC-2072, ICCRIL- 03-0208 and ICCRIL-03-0177 genotypes were superior under both conditions.
Description: A Thesis Submitted to the School of Graduate Studies of Addis Ababa University in Partial Fulfillment of the Requirements for the Degree of Master of Science in Biology (Applied Genetics)
URI: http://hdl.handle.net/123456789/3266
Appears in:Thesis - Biology

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