Record Details


Field	Value

Title	Multiple regression models for yield prediction in plantain Not Available

Creator	Ram Kumar, S Rajan, Achal Singh

Subject	Leaf length, leaf width, bunch weight, plantain, regression model, yield prediction.

Description	Not Available The regression studies on ten plantain varieties revealed that vegetative growth and fruit characters can efficiently be used for yield prediction in North India. Growth and fruit characters were used separately as predictor variables for developing yield prediction models. Leaf width, plant girth, number of leaves and plant height predicted yield up to 89.29%, while fruit characters, viz., fingers bunch−1, finger diameter, hands bunch−1 and finger length could predict yield up to 99.57% in main crop. On ratoon crop, plant height, plant girth and number of leaves were responsible for prediction of yield up to 78.69%, whereas fingers bunch−1 and hands bunch−1 could predict the yield up to 86.54%. Not Available

Date	2017-10-26T05:50:14Z 2017-10-26T05:50:14Z 2007-06-01

Type	Research Paper

Identifier	Not Available 0972-8538. http://krishi.icar.gov.in/jspui/handle/123456789/5569

Language	English

Relation	Not Available;

Publisher	The Horticultural Society of India

ICAR Research Data Repository for Knowledge Management