Estimation of dry matter production and yield prediction in greenhouse cucumber

This study aims to estimate dry matter (DM) production and fresh fruit yield in “Fresco-dash” (FD) and “Project X” (PX) cucumber cultivars using an empirical model developed for tomatoes. First, the research team cultivated the two cucumber cultivars under a hydroponic system for about six months. Also, parameters related to DM production such as light use efficiency (LUE), light extinction coefficient (k), DM distribution of fruits (DMD), and fruit dry matter content (DMC) were measured via destructive measurements.

The k, DMD, and DMC values were 0.99 and 0.93, 46.0 and 45.2, 3.84 and 3.78 in “Fresco Dash” and “Project X”, respectively. Second, cucumbers were cultivated to estimate DM production and fruit fresh yield using the model without destructive measurement for about eight months and validated the model’s effectiveness. The predicted DM fell within the range of the observed DM ± standard error at 51 and 132 d after transplantation (DAT) in PX as well as 51 (DAT) in FD.

The predicted and observed DM at 163 DAT were 2.08 and 1.82 kg m−2, 2.09 and 1.87 kg m−2 in “Fresco Dash” and “Project X”, respectively. The predicted and observed fruit yields at 200 DAT were 30.3 and 31.7, 30.5 and 29.1 in “Fresco Dash” and “Project X”, respectively, which were 4.4% lower than the observed fruit yield in FD and 4.9% higher than that in PX. These results suggest that the model applies to cucumbers in predicting dry matter production and fresh fruit yield.

Read the complete research at www.researchgate.net.

Maeda, Kazuya & Ahn, Dong-Hyuk. (2021). Estimation of Dry Matter Production and Yield Prediction in Greenhouse Cucumber without Destructive Measurements. Agriculture. 11. 1186. 10.3390/agriculture11121186. 

 


Publication date:



Receive the daily newsletter in your email for free | Click here


Other news in this sector:


Sign up for our daily Newsletter and stay up to date with all the latest news!

Subscribe I am already a subscriber