Analyzing rice (Oryza sativa L.) panicle structure of 122 RILs using P-TRAP software for spikelet related traits
Panicle architecture is shown to have a direct impact on rice grain yield, making it an important characteristic for rice varietal improvement. In this study, we focus on the Panicle Trait Phenotyping Tool (P-TRAP), freely accessible, platform-independent software for analyzing rice panicle archit...
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| Format: | Article |
| Language: | English |
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Indian Society of Plant Breeders
2022-12-01
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| Series: | Electronic Journal of Plant Breeding |
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| Online Access: | https://www.ejplantbreeding.org/index.php/EJPB/article/view/4430 |
| _version_ | 1797851720743649280 |
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| author | Hamsa Poorna Prakash*1, Suman Rawte1, Ritu R. Saxena 1, S. B. Verulkar2 and Ravi R. Saxena3 |
| author_facet | Hamsa Poorna Prakash*1, Suman Rawte1, Ritu R. Saxena 1, S. B. Verulkar2 and Ravi R. Saxena3 |
| author_sort | Hamsa Poorna Prakash*1, Suman Rawte1, Ritu R. Saxena 1, S. B. Verulkar2 and Ravi R. Saxena3 |
| collection | DOAJ |
| description | Panicle architecture is shown to have a direct impact on rice grain yield, making it an important characteristic for
rice varietal improvement. In this study, we focus on the Panicle Trait Phenotyping Tool (P-TRAP), freely accessible,
platform-independent software for analyzing rice panicle architecture, as one of the ways for generating comprehensive
and reproducible panicle structure data and identifying superior breeding lines. In this analysis, the rice panicle
structures of 122 RILs along with their parents were analyzed using P-TRAP software. P-TRAP assesses nine spikelet
characteristics and its impact on grain yield. All traits had positive and significant associations and have a direct
influence on grain yield. The findings indicate that most characteristics’ coefficients of variation had lower values,
with the exception of the characteristics spikelet number, spikelet area and grain yield. In comparison to other traits,
the standard error for the traits spikelet number and grain yield had a larger value. To better understand their genetic
basis, these quantitative traits can be exploited in genome-wide association analyses. Hence, analyzing these traits is
crucial. The P-TRAP tool is preferred because it reduces human effort and provides data in a shorter time span when
compared to the traditional method. |
| first_indexed | 2024-04-09T19:21:15Z |
| format | Article |
| id | doaj.art-820882574fcf4010857e3ac8c93cd462 |
| institution | Directory Open Access Journal |
| issn | 0975-928X |
| language | English |
| last_indexed | 2024-04-09T19:21:15Z |
| publishDate | 2022-12-01 |
| publisher | Indian Society of Plant Breeders |
| record_format | Article |
| series | Electronic Journal of Plant Breeding |
| spelling | doaj.art-820882574fcf4010857e3ac8c93cd4622023-04-05T10:06:42ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2022-12-011341226123310.37992/2022.1304.167Analyzing rice (Oryza sativa L.) panicle structure of 122 RILs using P-TRAP software for spikelet related traitsHamsa Poorna Prakash*1, Suman Rawte1, Ritu R. Saxena 1, S. B. Verulkar2 and Ravi R. Saxena301Department of Genetics and Plant Breeding, College of Agriculture, IGKV, Raipur, Chhattisgarh, India 2Department of Plant Molecular Biology and Biotechnology, College of Agriculture, IGKV, Raipur, Chhattisgarh, India 3Department of Agricultural Statistics, College of Agriculture, IGKV, Raipur, Chhattisgarh, India *E-Mail: hamsapoornaprakash143@gmail.comPanicle architecture is shown to have a direct impact on rice grain yield, making it an important characteristic for rice varietal improvement. In this study, we focus on the Panicle Trait Phenotyping Tool (P-TRAP), freely accessible, platform-independent software for analyzing rice panicle architecture, as one of the ways for generating comprehensive and reproducible panicle structure data and identifying superior breeding lines. In this analysis, the rice panicle structures of 122 RILs along with their parents were analyzed using P-TRAP software. P-TRAP assesses nine spikelet characteristics and its impact on grain yield. All traits had positive and significant associations and have a direct influence on grain yield. The findings indicate that most characteristics’ coefficients of variation had lower values, with the exception of the characteristics spikelet number, spikelet area and grain yield. In comparison to other traits, the standard error for the traits spikelet number and grain yield had a larger value. To better understand their genetic basis, these quantitative traits can be exploited in genome-wide association analyses. Hence, analyzing these traits is crucial. The P-TRAP tool is preferred because it reduces human effort and provides data in a shorter time span when compared to the traditional method.https://www.ejplantbreeding.org/index.php/EJPB/article/view/4430ricespikeletp-trapgrain yield |
| spellingShingle | Hamsa Poorna Prakash*1, Suman Rawte1, Ritu R. Saxena 1, S. B. Verulkar2 and Ravi R. Saxena3 Analyzing rice (Oryza sativa L.) panicle structure of 122 RILs using P-TRAP software for spikelet related traits Electronic Journal of Plant Breeding rice spikelet p-trap grain yield |
| title | Analyzing rice (Oryza sativa L.) panicle structure of 122 RILs using P-TRAP software for spikelet related traits |
| title_full | Analyzing rice (Oryza sativa L.) panicle structure of 122 RILs using P-TRAP software for spikelet related traits |
| title_fullStr | Analyzing rice (Oryza sativa L.) panicle structure of 122 RILs using P-TRAP software for spikelet related traits |
| title_full_unstemmed | Analyzing rice (Oryza sativa L.) panicle structure of 122 RILs using P-TRAP software for spikelet related traits |
| title_short | Analyzing rice (Oryza sativa L.) panicle structure of 122 RILs using P-TRAP software for spikelet related traits |
| title_sort | analyzing rice oryza sativa l panicle structure of 122 rils using p trap software for spikelet related traits |
| topic | rice spikelet p-trap grain yield |
| url | https://www.ejplantbreeding.org/index.php/EJPB/article/view/4430 |
| work_keys_str_mv | AT hamsapoornaprakash1sumanrawte1ritursaxena1sbverulkar2andravirsaxena3 analyzingriceoryzasativalpaniclestructureof122rilsusingptrapsoftwareforspikeletrelatedtraits |