Adapting the CROPGRO Model to Simulate Growth and Yield of Spring Safflower in Semiarid Conditions

Abstract

Th e importance of saffl ower (Carthamus tinctorius L.) is increasing as a low input, stress-tolerant oilseed crop around the world. Adapting a crop growth model for saffl ower will help to assess the feasibility of this crop under diverse environmental conditions with relatively limited fi eld experimentation. Th e objective of the project was to adapt the Decision Support System for Agrotechnology Transfer (DSSAT) Cropping System Model (CSM-CROPGRO) to simulate growth and seed yield of spring saffl ower. Th e CROPGRO template approach was used, and parameters in species and cultivar fi les were developed based on saffl ower literature and calibration to fi eld data. Th e entered base temperatures for photosynthetic, vegetative, and reproductive processes of saffl ower ranged from 0 to 5°C while corresponding optimum temperatures varied from 19 to 40°C. Simulated results were compared with observed data collected from fi eld experiments conducted at Clovis, NM, during 2013 and 2014. Th e model predicted the crop life cycle (anthesis and harvest maturity date) with relative root mean square error (RRMSE) of 0.07. Average plant biomass, head mass, head number and seed number were satisfactorily simulated when compared to observed values. Seed yield, averaged over irrigation treatments and years, was predicted as 1963 kg ha -1 compared to measured value of 1902 kg ha -1 with RRMSE of 0.12. Reasonable prediction of phenology, growth, and yield by the model adapted for saffl ower suggested that the CROPGRO-saffl ower model is promising to simulate saffl ower production in semiarid climates. However, further testing of the CROPGROsaffl ower model under diff erent environments is needed.

Spring Safflower Performance under Growth Stage Based Irrigation in the Southern High Plains

“…The study location is characterized as the semiarid climate with an annual average precipitation of 445 mm, and mean maximum and minimum temperatures of 22 and 7°C, respectively (Singh et al, 2016b). The study location is characterized as the semiarid climate with an annual average precipitation of 445 mm, and mean maximum and minimum temperatures of 22 and 7°C, respectively (Singh et al, 2016b).…”

“…A field experiment was conducted at the New Mexico State University, Agricultural Science Center (ASC) at Clovis (34°35¢ N, 103°12¢ W and elevation of 1348 m above sea level) during 2013 and 2014. The study location is characterized as the semiarid climate with an annual average precipitation of 445 mm, and mean maximum and minimum temperatures of 22 and 7°C, respectively (Singh et al, 2016b). Soil type of the study site was an Olton clay loam (fine, mixed, superlative, thermic Aridic Paleustoll).…”

Growth‐Stage‐Based Irrigation Management on Biomass, Yield, and Yield Attributes of Spring Canola in the Southern Great Plains

“…The greater the water input, the greater the biomass production in indeterminate crops like canola (Angadi et al, 2008) and soybean (Liu et al, 2005). In contrast, safflower, which is another potential alternative oil seed crop for SGP and also an indeterminate crop, showed more reduction in biomass production when stressed during the vegetative stage compared with the reproductive stage (Singh et al, 2016c). However, in 2016, FI had 17, 30, and 81% greater harvest biomass than VS, RS, and DL, respectively.…”

“…The study location has a semiarid climate with an annual average precipitation of 445 mm and mean maximum and minimum temperatures of 22 and 7°C (Singh et al, 2016c). The study location has a semiarid climate with an annual average precipitation of 445 mm and mean maximum and minimum temperatures of 22 and 7°C (Singh et al, 2016c).…”

Simanihot: A Process-Based Model for Simulating Growth, Development and Productivity of Cassava

“…Such models allow us to understand how plants grow and develop, how photoassimilates are translocated from the sources to the sinks within a plant, how biotic and abiotic stresses affect crop yield, and also assisting in management practices such as fertilizer application, control of pests, diseases and weeds (KIM et al, 2012;NASSIF et al, 2012, SINGH et al, 2016.…”