YIELD GAP ANALYSIS OF CHICKPEA (CICER ARIETINUM L.) UNDER SEMI-ARID CONDITIONS: A SIMULATION STUDY

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AMIRI DEH AHMADI S.R.; PARSA M.; BANNAYAN M.; NASSIRI MAHALATI M.

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Journal: AGROECOLOGY (بوم شناسی کشاورزی) Year:2015 | Volume:7 | Issue:1 Page(s): 84-98

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Title

YIELD GAP ANALYSIS OF CHICKPEA (CICER ARIETINUM L.) UNDER SEMI-ARID CONDITIONS: A SIMULATION STUDY

Author(s)

AMIRI DEH AHMADI S.R. | PARSA M. | BANNAYAN M. | NASSIRI MAHALATI M. | Issue Writer Certificate

Keywords

ACTUAL YIELDQ2

BENCHMARKINGQ3

MODELLINGQ2

POTENTIAL YIELDQ2

Abstract

Introduction: Chickpea is the most important legume in West Asia and North Africa especially under rainfed conditions (Silim et al., 1993). Chickpea yield is at low levels in major producing countries (Millan et al., 2006), indicating a need to increase crop yield via crop genetic improvement and enhanced crop management. Genetic and management constraints can be analyzed by using crop simulation models. Crop models are very useful tools to evaluate the POTENTIAL YIELD and environment constraints, genetics and management factors (Lobell et al., 2009).The yield gap (Yg) is the difference between Yp (irrigated crops), or Yw (rainfed crops) and ACTUAL YIELDs (Ya).Any improvement of crop management practices requires that the POTENTIAL YIELD and its difference with ACTUAL YIELD be determined and ultimately evaluate the determinants of yield gap (Lobell et al., 2009). Assessment of POTENTIAL YIELD and yield gaps can help in identifying the yield limiting factors and it helps us develop suitable strategies to improve the productivity of any crop (Naab et al., 2004). In this study, yield potential and yield gap across the major chickpea-growing regions of the Khorasan Razavi province in Iran were quantified by using the SSM-chickpea model and ACTUAL YIELD and its variability within farmers’ fields were evaluated. This study tries to determine the POTENTIAL YIELD capacity and chickpea yield gap.Materials and Methods: For model parameterization, a field experiment was conducted in a randomized complete design with 4 replications in the research field of the Ferdowsi University of Mashhad. The Chickpea cultivar ILC482 was used in this experiment.The Chickpea model of Soltani and Sinclair (2011) was used in this study. The simulations started from the sowing date and ended at maturity. Finally, the simulated results of LAI, aboveground biomass and grain yield were examined by the root mean square error (RMSE). RMSE was calculated as shown in Eq.1 (Wallach & Goffinet, 1987): “formula”Where Oi is the observed data, Pi is the simulated data and n is the total number of observations.The study was performed at nine regions in the Khorasan Razavi province located in the Northeast of Iran, under two water conditions, i.e. potential and water limited. Irrigated and rainfed ACTUAL YIELDs were based on statistical data at regional level for the period of 2002–2012, which were collected from the Agricultural Jihad of the Khorasan Razavi province (Anonymous, 2012). These yields were averaged out for calculating the ACTUAL YIELD for each region for which simulations were carried out.Yield gapsYield gaps were defined as:YGMM=Simulated POTENTIAL YIELD - simulated water limited yieldYGMI=Simulated POTENTIAL YIELD - irrigated ACTUAL YIELDYGMR=Simulated water limited yield - rainfed ACTUAL YIELD. Results and Discussion: The results suggest that the Khorasan Razavi province with low actual Chickpea yields has a high probability of large yield gaps and large potentials to increase current yields. The model simulations showed that the average POTENTIAL YIELD of Chickpea for the regions was 2251 kg ha-1, while the water limited yield was 1026 kg ha-1 indicating a 54% reduction in yield due to adverse soil moisture conditions. The average irrigated and rainfed ACTUAL YIELD were also 64% and 79% less than the simulated potential and water limited yields, respectively.Across all study locations, the POTENTIAL YIELDs were less variable than water limited and ACTUAL YIELDs, and were correlated with solar radiation during the season (R2=0.63, P<0.05). Generally, YGMI and YGMM showed an increasing trend from the North (including Neishabur, Mashhad, Quchan and Daregaz regions) to the South of this province (Torbat- Jam and Gonabad). In comparison with other yield gaps, the quantity of YGMR was very low because both limited simulated water and average rainfed ACTUAL YIELDs were low in these regions.Furthermore, YGMR was more or less unaffected by the amount of rainfall received in these regions.

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APA: Copy

AMIRI DEH AHMADI, S.R., PARSA, M., BANNAYAN, M., & NASSIRI MAHALATI, M.. (2015). YIELD GAP ANALYSIS OF CHICKPEA (CICER ARIETINUM L.) UNDER SEMI-ARID CONDITIONS: A SIMULATION STUDY. AGROECOLOGY (بوم شناسی کشاورزی), 7(1), 84-98. SID. https://sid.ir/paper/211396/en

Vancouver: Copy

AMIRI DEH AHMADI S.R., PARSA M., BANNAYAN M., NASSIRI MAHALATI M.. YIELD GAP ANALYSIS OF CHICKPEA (CICER ARIETINUM L.) UNDER SEMI-ARID CONDITIONS: A SIMULATION STUDY. AGROECOLOGY (بوم شناسی کشاورزی)[Internet]. 2015;7(1):84-98. Available from: https://sid.ir/paper/211396/en

IEEE: Copy

S.R. AMIRI DEH AHMADI, M. PARSA, M. BANNAYAN, and M. NASSIRI MAHALATI, “YIELD GAP ANALYSIS OF CHICKPEA (CICER ARIETINUM L.) UNDER SEMI-ARID CONDITIONS: A SIMULATION STUDY,” AGROECOLOGY (بوم شناسی کشاورزی), vol. 7, no. 1, pp. 84–98, 2015, [Online]. Available: https://sid.ir/paper/211396/en

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