Open AccessSimulation of growth and yield of various irrigated rice ( Oryza sativa L.) genotypes by AquaCrop under different seedling ages
Author(s) -
Seyed Raoufi Roxana,
Soufizadeh Saeid,
Amiri Larijani Bahman,
AghaAlikhani Majid,
Kambouzia Jafar
Publication year - 2018
Publication title -
natural resource modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.28
H-Index - 32
eISSN - 1939-7445
pISSN - 0890-8575
DOI - 10.1111/nrm.12162
Subject(s) - seedling , oryza sativa , agronomy , yield (engineering) , dry matter , cultivar , growing season , biology , canopy , environmental science , botany , materials science , metallurgy , biochemistry , gene
Abstract The ability of AquaCrop was explored in simulating growth and development of irrigated rice genotypes under various seedling ages. Experiments were conducted in 2008 and 2009 in Amol, Iran. Local and improved cultivars were chosen (Tarom, Ghaem, and Fajr) and planted under various seedling ages. Results showed that AquaCrop simulated the rice growth and yield with reasonable accuracy. The model could follow the same order in simulated grain yield. However, the model had tendency toward slight overestimation of dry matter early in the season. AquaCrop could not capture the senescence of rice genotypes of the oldest seedling age very well and tended to keep leaves green for a longer period. The canopy cover (CC) of improved cutivars was simulated satisfactorily. Overall, it was concluded that AquaCrop is a good tool to simulate the behavior of various rice genotypes, especially improved ones, for management practices established upon seedling age variability. Recommendations for Resource Managers AquaCrop‐Rice is a practical and strong while easy‐to‐run crop simulation model that could be used successfully by extension services and farmers for decision making on their best‐management practices. AquaCrop is able to simulate successfully the effect of variability in seedling age on rice, an important management option by farmers, especially under variable starting window of the growing season in coastal regions with higher climate variability. AquaCrop can successfully capture genotypic variability in rice, which points to its capability to be used for deciding on best rice genotype in a region yielding in higher resource use efficiency.