Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis
In Brazil, more efficient methods are a necessity for evaluating blast severity on spikes in the breeding programs of rye, triticale, wheat, and barley. The objective of this work was to determine the feasibility of assessing blast severity based on the analysis of digital images of symptomatic rye...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | International Journal of Agronomy |
| Online Access: | http://dx.doi.org/10.1155/2013/878246 |
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| author | João Leodato Nunes Maciel Alfredo do Nascimento Junior Cristina Boaretto |
| author_facet | João Leodato Nunes Maciel Alfredo do Nascimento Junior Cristina Boaretto |
| author_sort | João Leodato Nunes Maciel |
| collection | DOAJ |
| description | In Brazil, more efficient methods are a necessity for evaluating blast severity on spikes in the breeding programs of rye, triticale, wheat, and barley. The objective of this work was to determine the feasibility of assessing blast severity based on the analysis of digital images of symptomatic rye and triticale spikes. Triticale and rye genotypes were grown to anthesis in pots and were then inoculated with a mixture of Magnaporthe oryzae isolates. Blast severity on the spikes was evaluated visually and after that the spikes were detached and photographed. Blast severity was determined using the program ImageJ to analyze the obtained images. Two methods of image analysis were used: selection of symptomatic areas using a mouse cursor (SCU) and selection of symptomatic areas using image segmentation (SIS). The SCU method was considered the standard reference method for determining the true value of blast severity on spikes. An analysis of variance did not determine any difference among the evaluation methods. The coefficient of determination (R2) obtained from a linear regression analysis between the variables SIS and SCU was 0.615. The obtained data indicate that the evaluation of blast severity on spikes based on image segmentation is feasible and reliable. |
| format | Article |
| id | doaj-art-6203e83d292c461eaf8bbe121a974203 |
| institution | Kabale University |
| issn | 1687-8159 1687-8167 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Agronomy |
| spelling | doaj-art-6203e83d292c461eaf8bbe121a9742032025-02-03T01:11:18ZengWileyInternational Journal of Agronomy1687-81591687-81672013-01-01201310.1155/2013/878246878246Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image AnalysisJoão Leodato Nunes Maciel0Alfredo do Nascimento Junior1Cristina Boaretto2Embrapa Trigo, BR-285, Km 294, CP 451, 99001-970 Passo Fundo, RS, BrazilEmbrapa Trigo, BR-285, Km 294, CP 451, 99001-970 Passo Fundo, RS, BrazilFaculdade de Agronomia e Medicina Veterinária, UPF, Campus I, BR-285, Bairro São José, CP 611, 99052-900 Passo Fundo, RS, BrazilIn Brazil, more efficient methods are a necessity for evaluating blast severity on spikes in the breeding programs of rye, triticale, wheat, and barley. The objective of this work was to determine the feasibility of assessing blast severity based on the analysis of digital images of symptomatic rye and triticale spikes. Triticale and rye genotypes were grown to anthesis in pots and were then inoculated with a mixture of Magnaporthe oryzae isolates. Blast severity on the spikes was evaluated visually and after that the spikes were detached and photographed. Blast severity was determined using the program ImageJ to analyze the obtained images. Two methods of image analysis were used: selection of symptomatic areas using a mouse cursor (SCU) and selection of symptomatic areas using image segmentation (SIS). The SCU method was considered the standard reference method for determining the true value of blast severity on spikes. An analysis of variance did not determine any difference among the evaluation methods. The coefficient of determination (R2) obtained from a linear regression analysis between the variables SIS and SCU was 0.615. The obtained data indicate that the evaluation of blast severity on spikes based on image segmentation is feasible and reliable.http://dx.doi.org/10.1155/2013/878246 |
| spellingShingle | João Leodato Nunes Maciel Alfredo do Nascimento Junior Cristina Boaretto Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis International Journal of Agronomy |
| title | Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis |
| title_full | Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis |
| title_fullStr | Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis |
| title_full_unstemmed | Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis |
| title_short | Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis |
| title_sort | estimation of blast severity on rye and triticale spikes by digital image analysis |
| url | http://dx.doi.org/10.1155/2013/878246 |
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