2018
DOI: 10.1590/1678-992x-2016-0482
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Papaya recombinant inbred lines selection by image-based phenotyping

Abstract: ABSTRACT:The selection of superior Carica papaya (L) genotypes depends on the availability of genetic variability and on the favorable and simultaneous response of the genotypes to those traits of most interest. However, manual phenotyping (MP) demands intensive labor, is time-consuming and expensive. The aim of the current study is to access the efficiency of image-based phenotyping (IBP) in estimating genetic parameters and in selecting F 4 recombinant inbred lines.The genetic parameters and values were esti… Show more

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Cited by 9 publications
(5 citation statements)
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References 16 publications
(14 reference statements)
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“…The CVe values found for FFIH (15 %), PH (10 %), SD (11 %), and FW (11 %) traits are considered medium, indicating good experimental precision (Ferreira et al, 2016). Ramos et al (2014) and Cortes et al (2018) also found CVe values below 20 % for PH, FFIH, and SD, agreeing with our results.…”
Section: Estimates Of Genetic Parameterssupporting
confidence: 92%
See 1 more Smart Citation
“…The CVe values found for FFIH (15 %), PH (10 %), SD (11 %), and FW (11 %) traits are considered medium, indicating good experimental precision (Ferreira et al, 2016). Ramos et al (2014) and Cortes et al (2018) also found CVe values below 20 % for PH, FFIH, and SD, agreeing with our results.…”
Section: Estimates Of Genetic Parameterssupporting
confidence: 92%
“…This parameter allows inferences on the relative dimensions of possible changes in each variable. Cortes et al (2018) compared conventional and digital phenotyping and found similar CVg values between the two methodologies. For PH, CVg was 9 in both approaches; for SD, CVg ranged from 7 (digital phenotyping) to 8 (manual phenotyping); for NDF, CVg ranged from 17 to 22 (manual and digital phenotyping); and for YLD, CVg ranged from 20 to 21 (manual and digital phenotyping).…”
Section: Estimates Of Genetic Parametersmentioning
confidence: 82%
“…Several attributes, such as fruit length (FL), fruit width (FD), fruit thickness (FT), fruit perimeter (FP), fruit area (FA), stone length (SL), stone width (SD), stone thickness (ST), stone perimeter (SP) and stone area (SA), can be measured using ImageJ from fruit and stone images. It is successfully used in several other horticultural crops, for instance, walnut and papaya (Ercisli et al, 2012;Catarina et al, 2018). Currently, plant researchers are using different pieces of sophisticated software for the characterisation and evaluation of different plants all over the world.…”
Section: Introductionmentioning
confidence: 99%
“…Of all the plant breeders' skills, the most significant is the proper exploitation of plant resources with genetic variability, without which it is not possible to make progress in genetic breeding. In papaya crops, new cultivars are most often from the generation of segregating populations with such variability that allow identifying superior genotypes for traits of interest, https://doi.org/10.1590/1678-4499.20220040 such as disease resistance, productivity, and fruit quality (Cortes et al 2018;Santa-Catarina et al 2020). Therefore, it is pertinent to the work of breeders to explore segregating populations as genetic resources of high value for the identification of superior genotypes in the development of varieties that can be lines or hybrid combinations.…”
Section: Introductionmentioning
confidence: 99%