Quality attributes prediction of flame seedless grape clusters based on nutritional status employing multiple linear regression technique

HIGHLIGHTS

• who: Mahmoud Abdel-Sattar and collaborators from the Department of Plant Production, College of Food and Sciences, King Saud University, Riyadh, Saudi Arabia have published the article: Quality Attributes Prediction of Flame Seedless Grape Clusters Based on Nutritional Status Employing Multiple Linear Regression Technique, in the Journal: Agriculture 2022, 12, x FOR PEER REVIEW of /2022/
• what: In this study the prediction of physical characteristics of clusters and berries` color attributes of Flame Seedless grape grown under different culture practices in particular fertilization treatments was carried out using nutritional status concentration (leaf mineral elements total . . .
  

   

  

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