Correlation and Path Coefficient Analysis for Various Quantitative Traits in Desi Chickpea Genotypes under Rainfed Conditions in Ethiopia

Chickpea is rich in protein and micronutrients and plays a significant role in human diet especially as accompaniment to staples, but grain yields in Ethiopia are still below the crop potential. Field experiments were conducted during 2007/8-2009/10 to determine relationships among yield and some yield components using correlation and path coefficient analysis in desi chickpea grown under rainfed conditions. Correlation studies revealed that seed yield was significantly and positively correlated with days to flowering, days to maturity, number of pods per plant, number of seeds per pod, stand count at harvest, plant height and biomass. The path coefficient analysis based on seed yield, as a dependent variable, revealed that biomass had the greatest direct effect on seed yield (0.0146) and followed by stand count at harvest and plant height. Both correlation and path analyses indicated that biomass, stand count at harvest and plant height were the major direct contributors to seed yield. Thus, the present study suggests that more biomass production, stand count at harvest and plant height are major yield factors in selecting high yielding desi chickpea cultivars

Stability Analysis in Chickpea Genotype Sets as Tool for Breeding Germplasm Structuring Strategy and Adaptability Scoping

Chickpea research program has come across realizing the importance of restructuring the working germplasm pool in Ethiopia where we have 39 divergent agroecological zones (AEZ). Though chickpea is not suit to all, it adapts in more than 30% of the agroecologies having different scale of responses. Hence, as show case we have tried to scan the agroecologies discrimination power based on crop using three sets of bred-crop responses. Evidently enough, germplasms in all the sets have revealed differential responses for economical yield and associated traits, from the three set of 57 entries put under 47 environments. The AMMI stability value and stability index have been able to discriminate genotypes with designated position; and supposed the breeding program would signify values by attempting both environment and genetics still as key considerable factors

Genotype by environment interaction on yield stability of desi type chickpea (Cicer arietinum L.) at major chickpea producing areas of Ethiopia

This study was conducted to determine the interaction between chickpea genotypes with the environment (GxE) on the yield stability and adaptability of desi type chickpea genotypes (Cicer arietinum L.). Seventeen chickpea genotypes were evaluated for two cropping years (2012/2013 – 2013/2014) at four locations i.e., eight environments (locations x years combination). Chickpea grain yield was significantly (p<0.01) affected by genotypes, the environments and GxE interaction, indicating that the varieties and the test environments were diverse. GxE was further partitioned by principal component axes. The first two principal components cumulatively explained 53.1% of the total variation, of which 32.7% and 20.4% were contributed by IPCA1 and IPCA2, respectively. This implies that the interaction of 17 chickpea genotypes with eight environments was predicted by the first two principal components. AMMI1 biplot analysis showed five adaptive categories of genotypes based on similarities in their performance across environments. The AMMI2 biplot generated using genotypes and environmental scores for the first two IPCAs revealed positioning of the five genotype groups (GC) into four sectors of the biplot. Among them, two genotypes in GC 5 (G5 and G11) exhibited high yields across environments, low IPCA1 scores, low AMMI stability value (ASV) and yield stability index (YSI). G5 was released as a new variety, ‘Dimtu’ and registered in the Official Varieties Catalogue of Ethiopia, 2016