Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning.

ABSTRACT:

Background

Rice bacterial blight (BB) has caused serious damage in rice yield and quality leading to huge economic loss and food safety problems. Breeding disease resistant cultivar becomes the eco-friendliest and most effective alternative to regulate its outburst, since the propagation of pathogenic bacteria is restrained. However, the BB resistance cultivar selection suffers tremendous labor cost, low efficiency, and subjective human error. And dynamic rice BB phenotyping study is absent from exploring the pattern of BB growth with different genotypes.

Results

In this paper, with the aim of alleviating the labor burden of plant breeding experts in the resistant cultivar screening processing and exploring the disease resistance phenotyping variation pattern, visible/near-i

SUBMITTER: Zhang J 

PROVIDER: S-EPMC9013134 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature