S. K. Mousavi, P. Pezeshkpour, M. Shahverdi,
Volume 11, Issue 40 (summer 2007)
Abstract
The effects of Chickpea (Cicer arietinum L.) varieties, and sowing dates on weed interference were investigated in a 2-year (2002-3, and 2003-4 growing season) field experiment in Agricultural Research Station of Kohdasht in Lorestan Province. The experimental design was a randomized complete block in factorial arrangement with 3 replications. The experiment had 3 factors: weed interference at 2 levels (weed free, and weed infested throughout the total growing season), planting date at 3 levels (autumn, winter, and spring) and Chickpea varieties at 3 levels (ILC482, Hasham, and Greet). Weed density in autumn sowing plots was more than 3 and 7 times greater in autumn chickpea than in winter and spring sowing plots, respectively. Weed biomass in autumn sowing was 2.5 times as much as winter or spring sowing. Wild safflower and volunteer barley were the most frequent among the weed species. Volunteer barley was mainly present in autumn and winter planting dates. Wild safflower was among the weed species that in addition to competition, caused much difficulty to chickpea harvesting. Based on the hyperbolic curve fitted to the data, Chickpea maximum biomass reduction due to weed competition was estimated to be 91.8 %.
H. Zali, S.h. Sabaghpour, E. Farshadfar, P. Pezeshkpour, M. Safikhani, R. Sarparast, A. Hashem Beygi,
Volume 11, Issue 42 (winter 2008)
Abstract
Presence of genotype × environment interaction necessitates evaluation of genotypes in a wide range of environments to find desirable genotypes. This study was carried out to determine the stability and adaptability of grain yield of 17 chickpea genotypes, in RCBD with four replications at Kermanshah, Lorestan, Ilam, Gachsaran and Gorgan Research Stations during two seasons (2003-2004). The genotype × environment interaction effect analyzed using the additive main effects and multiplicative interaction (AMMI) statistical model was significant at 1% level of probability. The sum of squares of G × E interaction was partitioned by AMMI model into four significant interaction principal component axes (IPCA). The first four principal component axes (IPCA 1, 2, 3 and 4) cumulatively contributed to 94% of total genotype by environment interaction. A biplot generated using genotypic and environmental scores of the first two AMMI components also showed that genotypes FLIP 97- 79, X95TH1 and FLIP 97- 114 were selected as stable genotypes, among which the genotype FLIP 97- 114 was outstanding for high yield stability.
