Sankaran S.,Washington State University |
Khot L.R.,Washington State University |
Espinoza C.Z.,Washington State University |
Jarolmasjed S.,Washington State University |
And 7 more authors.
European Journal of Agronomy | Year: 2015
Global plant genetics research efforts have focused on developing high yielding, stress tolerant, and disease resistant row and field crop varieties that are more efficient in their use of agronomic inputs (water, nutrients, pesticides, etc.). Until recently, a key bottleneck in such research was the lack of high-throughput sensing technologies for effective and rapid evaluation of expressed phenotypes under field conditions for holistic data-driven decision making and variety selection. This review focuses on technological aspects of integrating unmanned aerial vehicles with imaging systems to enhance field phenotyping capabilities. The state-of-the-art of unmanned aerial vehicle technology for various applications including crop emergence, vigor, and characterization of yield potential of row and field crops has been reviewed. The potential of using aerial imaging to evaluate resistance/susceptibility to biotic and abiotic stress for crop breeding and precision production management has been discussed along with future perspectives and developments. © 2015 Elsevier B.V.
Bodah E.T.,Washington State University |
Porter L.D.,Grain Legume Genetics and Physiology Research Unit |
Chaves B.,Grain Legume Genetics and Physiology Research Unit |
Dhingra A.,Washington State University
Euphytica | Year: 2016
Fusarium root rot caused by Fusarium solani f. sp. pisi (Fsp) can result in major yield losses in pea (Pisum sativum L.). Currently no fungicides effectively manage this disease. Previous studies evaluated the Pisum germplasm collection for resistance to Fsp, however, evaluations of commercial market classes of pea cultivars grown in the US, and elsewhere, have not been reported. This study evaluated pea accessions and commercial cultivars for Fsp resistance under greenhouse conditions. Accessions evaluated included pigmented lines with high levels of partial resistance to Fsp. Based on root disease severity (RDS) values, the most Fsp-resistant Austrian winter, green fresh, green dry, yellow dry, green winter and yellow winter pea were: PI 125673, 5003, ‘Banner’, ‘Carneval’, PS 05300234, and ‘Whistler’, respectively. Genotypes with a RDS value of 3.05, on a 0–6 scale with 6 being severe, or less had no significant (P ≤ 0.05) reductions in plant height, shoot dry weight, and root dry weight, compared to non-inoculated controls, establishing an important disease threshold value for pea breeders. Plant height, more than shoot dry weight or root dry weight, was the most highly negatively correlated growth parameter related to RDS in repeated tests based on Pearson’s Correlation coefficients. However, root dry weight was also a highly sensitive growth parameter affected by Fsp since 14 of 33 genotypes had significant (P ≤ 0.05) reductions in root dry weight compared to non-inoculated controls, while only 5 of 33 genotypes had significant reductions in plant height and/or shoot dry weight in combined tests. © 2016 Springer Science+Business Media Dordrecht (outside the USA)
Sankaran S.,Washington State University |
Wang M.,Washington State University |
Vandemark G.J.,Grain Legume Genetics and Physiology Research Unit
Engineering in Agriculture, Environment and Food | Year: 2015
In chickpeas, the seed size is a critical phenotype that needs to be evaluated carefully during variety development. The sieve analysis used for determining seed size distribution in legumes is labor intensive and time consuming method. An image-based method for sizing chickpeas seeds was developed in this study. Samples from a total of 72 plots from two different locations were harvested and seed size was analyzed. The results show that seed size calculated from image-based method was highly correlated to the ground-truth data, with a correlation coefficient of 0.90. The image processing technique provides rapid evaluation of seed size for phenotyping chickpeas and the method also can be adapted for similar seed types. © 2015 Asian Agricultural and Biological Engineering Association.