Integrated selection criteria in sugarcane breeding programs using discriminant function analysis
Abstract Background Selection indices help the plant breeders to discriminate desirable genotypes on the basis of phenotypic performance. Therefore, the present study was conducted to evaluate thirty sugarcane genotypes (clones) along with two check cultivars in two cropping seasons at Mattana Agric...
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doaj-9fcba5ff705a4a85b701484a2970a5582020-11-25T03:22:02ZengSpringerOpenBulletin of the National Research Centre2522-83072020-09-0144111410.1186/s42269-020-00417-6Integrated selection criteria in sugarcane breeding programs using discriminant function analysisFarrag F. B. Abu-Ellail0Eman M. A. Hussein1A. El-Bakry2Sugar Crops Research Institute (SCRI), Agricultural Research CenterCent. Lab. for Design & Stat. Analysis Res., Agricultural Research CenterSugar Crops Research Institute (SCRI), Agricultural Research CenterAbstract Background Selection indices help the plant breeders to discriminate desirable genotypes on the basis of phenotypic performance. Therefore, the present study was conducted to evaluate thirty sugarcane genotypes (clones) along with two check cultivars in two cropping seasons at Mattana Agricultural Research Station. Results The results showed the studied traits observed in all genotypes were significantly different. The results could significantly discriminate between low and high sugar yield genotypes by describing eleven traits including sugar yield (ton/fed), cane yield (ton/fed), number of stalk/m2, stalk weight (kg), stalk height (cm), stalk diameter (cm), number of internodes, Brix %, sucrose %, purity %, and sugar recovery %. High sugar yield genotypes were selected by discriminant analysis. The discriminant score (DS) could explain 79.2% of sugar yield variations and had a significant canonical correlation (0.89**). Results of discriminant function analysis (DFA) indicated that the most important traits, in order of appearance, are stalk weight, stalk height, purity %, Brix%, and cane yields. Conclusions Genotypes, G.2017-43, G.2017-42, G.2017-29, G.2017-33, and G.2017-44, showed the highest values of the discriminant score and were recognized as the highest yielder sugarcane genotypes. While the genotypes named Vis, G.2017-30, G.2017-10, G.2017-27, G.2017-25, G.2017-70, G.2017-41, G.2017-40, G.2017-35, and G.2017-58, recognized as the lowest yielder sugarcane genotypes which represent the lowest values of the discriminant score.http://link.springer.com/article/10.1186/s42269-020-00417-6Sugarcane breedingDiscriminant function analysisSelection criterion |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Farrag F. B. Abu-Ellail Eman M. A. Hussein A. El-Bakry |
spellingShingle |
Farrag F. B. Abu-Ellail Eman M. A. Hussein A. El-Bakry Integrated selection criteria in sugarcane breeding programs using discriminant function analysis Bulletin of the National Research Centre Sugarcane breeding Discriminant function analysis Selection criterion |
author_facet |
Farrag F. B. Abu-Ellail Eman M. A. Hussein A. El-Bakry |
author_sort |
Farrag F. B. Abu-Ellail |
title |
Integrated selection criteria in sugarcane breeding programs using discriminant function analysis |
title_short |
Integrated selection criteria in sugarcane breeding programs using discriminant function analysis |
title_full |
Integrated selection criteria in sugarcane breeding programs using discriminant function analysis |
title_fullStr |
Integrated selection criteria in sugarcane breeding programs using discriminant function analysis |
title_full_unstemmed |
Integrated selection criteria in sugarcane breeding programs using discriminant function analysis |
title_sort |
integrated selection criteria in sugarcane breeding programs using discriminant function analysis |
publisher |
SpringerOpen |
series |
Bulletin of the National Research Centre |
issn |
2522-8307 |
publishDate |
2020-09-01 |
description |
Abstract Background Selection indices help the plant breeders to discriminate desirable genotypes on the basis of phenotypic performance. Therefore, the present study was conducted to evaluate thirty sugarcane genotypes (clones) along with two check cultivars in two cropping seasons at Mattana Agricultural Research Station. Results The results showed the studied traits observed in all genotypes were significantly different. The results could significantly discriminate between low and high sugar yield genotypes by describing eleven traits including sugar yield (ton/fed), cane yield (ton/fed), number of stalk/m2, stalk weight (kg), stalk height (cm), stalk diameter (cm), number of internodes, Brix %, sucrose %, purity %, and sugar recovery %. High sugar yield genotypes were selected by discriminant analysis. The discriminant score (DS) could explain 79.2% of sugar yield variations and had a significant canonical correlation (0.89**). Results of discriminant function analysis (DFA) indicated that the most important traits, in order of appearance, are stalk weight, stalk height, purity %, Brix%, and cane yields. Conclusions Genotypes, G.2017-43, G.2017-42, G.2017-29, G.2017-33, and G.2017-44, showed the highest values of the discriminant score and were recognized as the highest yielder sugarcane genotypes. While the genotypes named Vis, G.2017-30, G.2017-10, G.2017-27, G.2017-25, G.2017-70, G.2017-41, G.2017-40, G.2017-35, and G.2017-58, recognized as the lowest yielder sugarcane genotypes which represent the lowest values of the discriminant score. |
topic |
Sugarcane breeding Discriminant function analysis Selection criterion |
url |
http://link.springer.com/article/10.1186/s42269-020-00417-6 |
work_keys_str_mv |
AT farragfbabuellail integratedselectioncriteriainsugarcanebreedingprogramsusingdiscriminantfunctionanalysis AT emanmahussein integratedselectioncriteriainsugarcanebreedingprogramsusingdiscriminantfunctionanalysis AT aelbakry integratedselectioncriteriainsugarcanebreedingprogramsusingdiscriminantfunctionanalysis |
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