Image analysis and peanut seeds performance during the production process

Barbosa, Rafael Marani; Vieira, Bruno Guilherme Torres Licursi; Gomes-Júnior, Francisco Guilhien; Vieira, Roberval Daiton

doi:10.15361/1984-5529.2016v44n3p412-420

Cited by 6 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Alvarenga and Marcos-Filho (2014), in their turn, were able to identify differences in cottonseed vigor during storage. The efficiency of this system was also proved for several other species, including peanuts (Marchi et al, 2011;Barbosa et al, 2016), super sweet corn (Alvarenga et al, 2012), wheat (Silva et al, 2012), beans (Gomes Junior et al, 2014), soybeans (Wendt et al, 2014), sunflower (Rocha et al, 2015), and sorghum (Javorski et al, 2018). When evaluating lots of sweet corn after their physiological conditioning, Gomes Junior et al (2009) observed a relation with other typically used tests.…”

Section: Introductionmentioning

confidence: 88%

Evaluation cottonseed vigor through computer image analysis of the seedlings1

2019

View full text Add to dashboard Cite

The evaluation of seed vigor through image analysis has been gaining space in quality-control programs due to its easy use, objectivity, and speed. This study aimed at assessing the computer image analysis of seedling as a method for evaluate cottonseed (SVIS®), and compare it with tests traditionally employed for the same purpose. The experiments used cottonseeds of the cultivar FM975WS. First germination count, accelerated aging, low-temperature germination, emergence in sand and emergence-in sand speed index, seedling emergence in the field, and computer analysis were used to evaluate the seed vigor. The results showed that performing the computer image analysis with the software SVIS® is a viable alternative to assess the vigor of cottonseeds.

show abstract

Section: Introductionmentioning

confidence: 88%

Evaluation cottonseed vigor through computer image analysis of the seedlings1

2019

View full text Add to dashboard Cite

show abstract

“…been successfully reported for several species, such as pumpkin (Silva et al 2017), peanut (Barbosa et al 2016), corn (Castan et al 2018), wheat (Brunes et al 2016), sunflower (Rocha et al 2015), bean (Gomes Junior et al 2014) and soybean (Marcos Filho et al 2009, Wendt et al 2014, Yagushi et al 2014, among others. The commercial systems developed for this purpose are powerful tools for collecting image data and making inferences about seed vigor.…”

Section: Abstract Resumomentioning

confidence: 99%

SAPL®: a free software for determining the physiological potential in soybean seeds1

Medeiros

Pereira

2018

Pesqui. Agropecu. Trop.

View full text Add to dashboard Cite

Obtaining image-based information is a powerful approach to capture and quantify seed vigor data. However, commercial systems that facilitate the processing and acquisition of images are often cost prohibitive. This study aimed to evaluate the efficiency of the Seedling Analysis System (Sistema de Análise de Plântulas - SAPL®), in order to analyze the physiological potential of soybean seeds, in comparison with the information provided by vigor tests which are traditionally recommended for this species. Nine lots of soybean seeds were submitted to germination, germination speed, seedling emergence, cold test and electrical conductivity tests. In the SAPL® analyzes, seedlings of four and six days, counted from the beginning of the germination test, were evaluated, resulting in values for seedling length, growth, development uniformity, vigor index and corrected vigor index. The evaluated lots with emergence greater than 90 % showed a vigor index higher than 600 and 800, respectively in the fourth and sixth days. The indexes generated by SAPL®, except for the uniformity index, presented positive and high correlations with the traditional tests (> 0.80). SAPL® is efficient in identifying differences in the vigor of soybean seed lots.

show abstract

“…The efficiency of computerized analysis of seedlings in evaluation of seed vigor has been reported for various species, including rice (Brunes et al, 2019), maize (Castan, Gomes-Junior & Marcos-Filho, 2018), common bean (Gomes-Junior, Chamma & Cicero, 2014), soybean (Yagushi, Costa, & França, 2014), crambe (Leão-Araújo, Santos, Silva, Marcos-Filho & Vieira, 2017), wheat (Brunes et al, 2016), and peanut (Barbosa, Vieira, Gomes-Junior & Vieira, 2016).…”

Section: Introductionmentioning

confidence: 99%

Chickpea seed vigor evaluated by computerized seedling analysis

Araújo

Dias

Medeiros

et al. 2021

Semina: Ciênc. Agrár.

View full text Add to dashboard Cite

Computerized seedling analysis is a promising tool for assessing seed vigor, providing reliable and less subjective results. The aim of this study was to define a method for evaluating the vigor of chickpea seeds through computerized image analysis, using the Seedling Analysis System (Sistema de Análise de Plântula - SAPL®) as a basis. Two chickpea cultivars were evaluated, consisting of five seed lots of cv. BRS Aleppo and four seed lots of cv. Cícero. Test were performed on the seeds of each cultivar for initial characterization of the physiological potential of the lots, and the results were compared with the determinations made via SAPL®. The results showed high correlations between the variables obtained from computerized analysis and from traditional vigor tests, especially for the close relationship between the cold test and low temperature germination test with the corrected vigor index (r > 0.9) evaluated on the fourth day after the beginning of the test. The total length of seedlings, length of the primary root, and growth and corrected vigor indices obtained through computerized analysis of seedlings on the 4th day after sowing allowed separation of the lots regarding vigor. Computerized analysis of seedlings using SAPL® is effective in determining the vigor of chickpea seed lots.

show abstract

Image analysis and peanut seeds performance during the production process

Cited by 6 publications

References 19 publications

Evaluation cottonseed vigor through computer image analysis of the seedlings1

Evaluation cottonseed vigor through computer image analysis of the seedlings1

SAPL®: a free software for determining the physiological potential in soybean seeds1

Chickpea seed vigor evaluated by computerized seedling analysis

Contact Info

Product

Resources

About