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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Main Authors: Farrag F. B. Abu-Ellail, Eman M. A. Hussein, A. El-Bakry
Format: Article
Language:English
Published: SpringerOpen 2020-09-01
Series:Bulletin of the National Research Centre
Subjects:
Online Access:http://link.springer.com/article/10.1186/s42269-020-00417-6
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spelling 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
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