A facile and cheaper method to measure root angle of rice and wheat

Genetic improvement in root system architecture (RSA) is an important trait to achieve stability of grain yield in water-deficit stress environments. Deep rooting is a major component trait that contributes to dehydration avoidance under drought in most crops. Due to the difficulty in the phenotypin...

Full description

Bibliographic Details
Main Authors: AKSHAY S SAKHARE, SUDHIR KUMAR, RANJEET RANJAN KUMAR, NARESH KUMAR BAINSLA, KIRAN GAIKWAD, R K SHARMA, VISWANATHAN CHINNUSAMY
Format: Article
Language:English
Published: Indian Council of Agricultural Research 2019-06-01
Series:The Indian Journal of Agricultural Sciences
Subjects:
Online Access:https://epubs.icar.org.in/index.php/IJAgS/article/view/90762
Description
Summary:Genetic improvement in root system architecture (RSA) is an important trait to achieve stability of grain yield in water-deficit stress environments. Deep rooting is a major component trait that contributes to dehydration avoidance under drought in most crops. Due to the difficulty in the phenotyping for deep rooting, genetic variability in deep rooting is less exploited in genetic improvement programme. Root angle is a surrogate for deep rooting. Here, we report a novel method to measure root angle which is easy, robust and cheaper. By using this method, 56 wheat and 29 rice genotypes were phenotyped for root angle under field conditions. Wide variability in root angle was observed among rice and wheat genotypes. In rice, about 58% of crown roots were having shallow angle (<40°), while in wheat, about 67% of the crown roots were in deep rooting angle (>60°). This method could categorize the previously known shallow rooted rice cv. IR6 4 in to shallow root category with >90% of its crown root with an angle of <40°. Among the rice genotypes, BAM 2574, produced >60% of crown roots with >60° and identified as deep-rooted genotype. In wheat CL 3791, CL 3817 and CL 3823 were identified as deep-rooted genotypes. This method issuitable for high throughput phenotyping of root angle in natural field conditions.
ISSN:0019-5022
2394-3319