Optimized framework for evaluating F3 transgressive segregants in cayenne pepper
Abstract Developing F3 transgenic segregants has significant potential to improve cayenne pepper varieties. However, current evaluation methods are often inconsistent and inaccurate, hindering the identification of effective traits. Traditional approaches only focus on a few aspects, thus not coveri...
Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
|
| Series: | BMC Plant Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12870-025-06182-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823862658295660544 |
|---|---|
| author | Ifayanti Ridwan Muh Farid Feranita Haring Nuniek Widiayani Ahmad Yani Nirwansyah Amier Muhammad Alfan Ikhlasul Amal Jekvy Hendra Nawab Ali Mekhled Mohamed Alenazi Mahmoud F. Seleiman Willy Bayuardi Suwarno Muhammad Fuad Anshori |
| author_facet | Ifayanti Ridwan Muh Farid Feranita Haring Nuniek Widiayani Ahmad Yani Nirwansyah Amier Muhammad Alfan Ikhlasul Amal Jekvy Hendra Nawab Ali Mekhled Mohamed Alenazi Mahmoud F. Seleiman Willy Bayuardi Suwarno Muhammad Fuad Anshori |
| author_sort | Ifayanti Ridwan |
| collection | DOAJ |
| description | Abstract Developing F3 transgenic segregants has significant potential to improve cayenne pepper varieties. However, current evaluation methods are often inconsistent and inaccurate, hindering the identification of effective traits. Traditional approaches only focus on a few aspects, thus not covering the full potential performance of the genotype. Utilizing morphometric image processing and categorical parameter assessment can fill the gap of traditional approaches to improving accuracy and objectivity in evaluation. In addition, environmental factors affecting the evaluation process are not adequately considered, making the results unreliable. Therefore, a systematic evaluation framework integrating morphometric analysis, categorical assessment, and environmental correction is essential for optimizing F3 cayenne transgressive segregants. The study aims to develop a synchronized assessment and selection approach based on agronomic, fruit morphometric, and categorical traits in evaluating F3 cayenne transgressive segregants. This research was designed with a randomized completed block design with 16 transgressive segregant genotypes and three check varieties. Each genotype was repeated three times, resulting in 57 experimental units. Based on the results of this study, quantitative and categorical indices could be used to selectively and systematically evaluate potential transgressive segregants in F3 cayenne peppers. The quantitative index is formed from outcome selection criteria, number of productive branches, area, and major axes weighted through an unbiased linear estimation approach, heritability, and best path analysis. Seven genotypes demonstrated superior transgressive performance based on quantitative indices, with G10.9.2, G10.7.1, and G6.8.5 excelling in both agronomic traits and categorical evaluations. These lines can be recommended for yield evaluation and hybrid cross-parents. |
| format | Article |
| id | doaj-art-6b81312c400441f588d307d855719ee2 |
| institution | Kabale University |
| issn | 1471-2229 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Plant Biology |
| spelling | doaj-art-6b81312c400441f588d307d855719ee22025-02-09T12:27:47ZengBMCBMC Plant Biology1471-22292025-02-0125111410.1186/s12870-025-06182-wOptimized framework for evaluating F3 transgressive segregants in cayenne pepperIfayanti Ridwan0Muh Farid1Feranita Haring2Nuniek Widiayani3Ahmad Yani4Nirwansyah Amier5Muhammad Alfan Ikhlasul Amal6Jekvy Hendra7Nawab Ali8Mekhled Mohamed Alenazi9Mahmoud F. Seleiman10Willy Bayuardi Suwarno11Muhammad Fuad Anshori12Department of Agronomy, Faculty of Agriculture, Hasanuddin UniversityDepartment of Agronomy, Faculty of Agriculture, Hasanuddin UniversityDepartment of Agronomy, Faculty of Agriculture, Hasanuddin UniversityDepartment of Agronomy, Faculty of Agriculture, Hasanuddin UniversityAgrotechnology Bachelor Study Program, Faculty of Agriculture, Hasanuddin UniversityAgrotechnology Master Study Program, Faculty of Agriculture, Hasanuddin UniversityAgricultural Science Doctoral Program, Graduate School, Hasanuddin UniversityDirectorate of Horticultural Protection, Agricultural MinistryDepartment of Biosystems and Agricultural Engineering (BAE), College of Agriculture and Natural Resources, Michigan State UniversityDepartment of Plant Production, College of Food and Agriculture Sciences, King Saud UniversityDepartment of Plant Production, College of Food and Agriculture Sciences, King Saud UniversityDepartment of Agronomy and Horticulture, Faculty of Agriculture, IPB UniversityDepartment of Agronomy, Faculty of Agriculture, Hasanuddin UniversityAbstract Developing F3 transgenic segregants has significant potential to improve cayenne pepper varieties. However, current evaluation methods are often inconsistent and inaccurate, hindering the identification of effective traits. Traditional approaches only focus on a few aspects, thus not covering the full potential performance of the genotype. Utilizing morphometric image processing and categorical parameter assessment can fill the gap of traditional approaches to improving accuracy and objectivity in evaluation. In addition, environmental factors affecting the evaluation process are not adequately considered, making the results unreliable. Therefore, a systematic evaluation framework integrating morphometric analysis, categorical assessment, and environmental correction is essential for optimizing F3 cayenne transgressive segregants. The study aims to develop a synchronized assessment and selection approach based on agronomic, fruit morphometric, and categorical traits in evaluating F3 cayenne transgressive segregants. This research was designed with a randomized completed block design with 16 transgressive segregant genotypes and three check varieties. Each genotype was repeated three times, resulting in 57 experimental units. Based on the results of this study, quantitative and categorical indices could be used to selectively and systematically evaluate potential transgressive segregants in F3 cayenne peppers. The quantitative index is formed from outcome selection criteria, number of productive branches, area, and major axes weighted through an unbiased linear estimation approach, heritability, and best path analysis. Seven genotypes demonstrated superior transgressive performance based on quantitative indices, with G10.9.2, G10.7.1, and G6.8.5 excelling in both agronomic traits and categorical evaluations. These lines can be recommended for yield evaluation and hybrid cross-parents.https://doi.org/10.1186/s12870-025-06182-wBLUECapsicum frutescensCayenne fruitImage processingSelection index |
| spellingShingle | Ifayanti Ridwan Muh Farid Feranita Haring Nuniek Widiayani Ahmad Yani Nirwansyah Amier Muhammad Alfan Ikhlasul Amal Jekvy Hendra Nawab Ali Mekhled Mohamed Alenazi Mahmoud F. Seleiman Willy Bayuardi Suwarno Muhammad Fuad Anshori Optimized framework for evaluating F3 transgressive segregants in cayenne pepper BMC Plant Biology BLUE Capsicum frutescens Cayenne fruit Image processing Selection index |
| title | Optimized framework for evaluating F3 transgressive segregants in cayenne pepper |
| title_full | Optimized framework for evaluating F3 transgressive segregants in cayenne pepper |
| title_fullStr | Optimized framework for evaluating F3 transgressive segregants in cayenne pepper |
| title_full_unstemmed | Optimized framework for evaluating F3 transgressive segregants in cayenne pepper |
| title_short | Optimized framework for evaluating F3 transgressive segregants in cayenne pepper |
| title_sort | optimized framework for evaluating f3 transgressive segregants in cayenne pepper |
| topic | BLUE Capsicum frutescens Cayenne fruit Image processing Selection index |
| url | https://doi.org/10.1186/s12870-025-06182-w |
| work_keys_str_mv | AT ifayantiridwan optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT muhfarid optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT feranitaharing optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT nuniekwidiayani optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT ahmadyani optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT nirwansyahamier optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT muhammadalfanikhlasulamal optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT jekvyhendra optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT nawabali optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT mekhledmohamedalenazi optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT mahmoudfseleiman optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT willybayuardisuwarno optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper AT muhammadfuadanshori optimizedframeworkforevaluatingf3transgressivesegregantsincayennepepper |