Record Details

Use of Phenomics for Differentiation of Mungbean (Vigna radiata L. Wilczek) Genotypes Varying in Growth Rates Per Unit of Water

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Use of Phenomics for Differentiation of Mungbean (Vigna radiata L. Wilczek) Genotypes Varying in Growth Rates Per Unit of Water
Phenomics to Differentiate Mungbean Genotypes
 
Creator Jagadish Rane, Susheel Kumar Raina, Venkadasamy Govindasamy , Hanumantharao Bindumadhava, Prashantkumar Hanjagi , Rajkumar Giri , Krishna Kumar Jangid, Mahesh Kumar and Ramakrishnan M. Nair
 
Subject high throughput phenotyping, plant phenomics, growth rate, mungbean [Vigna radiata (L.) Wilczek], drought, water use index, soil moisture stress
 
Description Not Available
In the human diet, particularly for most of the vegetarian population, mungbean (Vigna
radiata L.Wilczek) is an inexpensive and environmentally friendly source of protein. Being
a short-duration crop, mungbean fits well into different cropping systems dominated by
staple food crops such as rice and wheat. Hence, knowing the growth and production
pattern of this important legume under various soil moisture conditions gains paramount
significance. Toward that end, 24 elite mungbean genotypes were grown with and
without water stress for 25 days in a controlled environment. Top view and side
view (two) images of all genotypes captured by a high-resolution camera installed
in the high-throughput phenomics were analyzed to extract the pertinent parameters
associated with plant features. We tested eight different multivariate models employing
machine learning algorithms to predict fresh biomass from different features extracted
from the images of diverse genotypes in the presence and absence of soil moisture
stress. Based on the mean absolute error (MAE), root mean square error (RMSE), and
R squared (R2) values, which are used to assess the precision of a model, the partial
least square (PLS) method among the eight models was selected for the prediction
of biomass. The predicted biomass was used to compute the plant growth rates and
water-use indices, which were found to be highly promising surrogate traits as they could
differentiate the response of genotypes to soilmoisture stressmore effectively. To the best
of our knowledge, this is perhaps the first report stating the use of a phenomics method
as a promising tool for assessing growth rates and also the productive use of water in
mungbean crop.
Not Available
 
Date 2021-08-25T00:27:07Z
2021-08-25T00:27:07Z
2021-06-21
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/60362
 
Language English
 
Relation Not Available;
 
Publisher Frontiers in Plant Science