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Mousavi SMN, Illés A, Bojtor C, Demeter C, Zsuzsanna B, Vad A, Abakeer RA, Sidahmed HMI, Nagy J. Quantitative and qualitative yield in sweet maize hybrids. BRAZ J BIOL 2024; 84:e265735. [DOI: 10.1590/1519-6984.265735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 07/27/2022] [Indexed: 11/21/2022] Open
Abstract
Abstract Today, sweet corn is considered an important vegetable due to its high sugar content and low starch content. Cluster analysis and variance analysis showed that hybrids had variations in yield indices. GB, DE and GS hybrids had similar performance on indices. SE hybrid that has significant performance on zeaxanthin. Biplot showed that fructose, glucose, sucrose and potassium had stability value on hybrids. All the hybrids had the best performance on fructose, glucose, sucrose and potassium factors. Factor biplot positively correlated with yield indices, including calcium, iron, zinc, magnesium, α-Carotene, 9Z-β-Carotene, phosphorus, and β-carotene. On the other hand, there is a positive correlation with fructose, glucose, potassium, lutein, sucrose, β-Cryptoxanthin, and zeaxanthin. So, to evaluate or increase lutein and zeaxanthin, the other parameters like sugar content (fructose, glucose, and sucrose) are important factors and have an effect together. Factor analysis and biplot showed that ME hybrid had a maximum performance on the first factor of yield indices. Also, the second factor of yield indices had a maxi-mum effect on NO hybrids. SE hybrids had maximum performance in zeaxanthin and GS hybrid had maximum performance in zinc, phosphorus, and iron. The dry matter had stability on DB hybrid.
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Affiliation(s)
| | | | | | | | | | - A. Vad
- University of Debrecen, Hungary
| | | | - H. M. I. Sidahmed
- University of Debrecen, Hungary; National Center for Research, Sudan
| | - J. Nagy
- University of Debrecen, Hungary
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Shojaei SH, Mostafavi K, Bihamta M, Omrani A, Bojtor C, Illes A, Szabo A, Vad A, Nagy J, Harsányi E, Mousavi SMN. Selection of maize hybrids based on genotype × yield × trait (GYT) in different environments. BRAZ J BIOL 2023; 84:e272093. [PMID: 37283408 DOI: 10.1590/1519-6984.272093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 03/16/2023] [Indexed: 06/08/2023] Open
Abstract
This study aimed to identify the best genotypes using the genotype × yield × trait (GYT) method. To investigate the relationships was performed between yield × traits in four regions of Karaj, Birjand, Shiraz and Arak in two cropping years in a randomized complete block design (RCBD) with three replications. The average grain yield in four regions and two years of the experiment was calculated as 5966 kg/ha, and GYT was obtained based on the multiplication of grain yield with different traits. Comparing the average effect of genotype × year in different environments showed that KSC703 and KSC707 hybrids are among the most productive hybrids among the studied genotypes in grain yield. By examining the correlation coefficients between yield × traits in the tested areas, Y × TWG with Y × GW, Y × NRE, Y × NGR and Y × EL, Y × ED with Y × NGR, Y × NRE with Y × GW and the combination of Y × GW with Y × GL had a positive and significant correlation in all regions. The correlation diagrams were drawn on the evaluated areas' data and showed the correlation of most compounds except Y × GT with each other. Based on the analysis of the main components, the first three components explained the greatest diversity in the population. They were named the component ear grain profile, grain thickness component and plant height profile component.
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Affiliation(s)
- S H Shojaei
- Islamic Azad University, Science and Research Branch, Department of Biotechnology and Plant Breeding, Tehran, Iran
| | - K Mostafavi
- Islamic Azad University, Department of Agronomy and Plant Breeding, Karaj, Iran
| | - M Bihamta
- University of Tehran, College of Agriculture & Natural Resources - UCAN, Karaj, Iran
| | - A Omrani
- Ardabil Agricultural and Natural Resources Research and Education Center - AREEO, Crop and Horticultural Science Research Department, Moghan, Iran
| | - C Bojtor
- University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - A Illes
- University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - A Szabo
- University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - A Vad
- University of Debrecen, Institutes for Agricultural Research and Educational Farm - IAREF, Farm and Regional Research Institutes of Debrecen - RID, Experimental Station of Látókép, Debrecen, Hungary
| | - J Nagy
- University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - E Harsányi
- University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - S M N Mousavi
- University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
- Dalhousie University, Faculty of Agriculture, Department of Plant, Food, Environmental Sciences, Truro, Nova Scotia, Canada
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Mousavi SMN, Illés A, Szabó A, Shojaei SH, Demeter C, Bakos Z, Vad A, Széles A, Nagy J, Bojtor C. Stability yield indices on different sweet corn hybrids based on AMMI analysis. BRAZ J BIOL 2023; 84:e270680. [PMID: 36921158 DOI: 10.1590/1519-6984.270680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 01/13/2023] [Indexed: 03/12/2023] Open
Abstract
Currently, sweet corn is considered an important crop due to its high sugar content and low starch content. Important sugars in sweet corn include sucrose, fructose, glucose, and maltose. The purpose of the present study was to use the yield indices of the eight examined sweet corn hybrids and the correlation of the yield indices together. Concentration is important for consumers in terms of yield indices. The research site was located at the Látókép Experimental Station of the University of Debrecen. The small plot experiment had a strip plot design with four replications. The previous crop was sweet corn; the plant density was 64 thousand/ha. The obtained result indicates that Biplot AMMI based on IPCA1 showed that the DB, NO, GS, and GB hybrids had stability and high performance in terms of yield indices. At the same time, fructose and glucose had stable parameters for the hybrids involved in the study. IPCA1 AMMI biplot showed that the ME hybrid had stability and high performance in terms of iron and zinc as well. IPCA2 AMMI biplot showed that DE, GB, and GS hybrids had stability and the highest performance on yield parameters in the scope of the research. Fructose, glucose, and sucrose had stable parameters on hybrids based on IPCA2. The DB and SE hybrids had desirable performance in Lutein and Zeaxanthin based on the biplot. The DE hybrid had a maximum performance on iron and zinc parameters.
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Affiliation(s)
- S M N Mousavi
- University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
- Dalhousie University, Faculty of Agriculture, Department of Plant, Food, and Environmental Sciences, Halifax, Canada
| | - A Illés
- University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - A Szabó
- University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - S H Shojaei
- Islamic Azad University, Faculty of Agriculture and Food Science and Technology, Science and Research Branch, Department of Biotechnology and Plant Breeding, Tehran, Iran
| | - C Demeter
- University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - Z Bakos
- University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - A Vad
- University of Debrecen, Institutes for Agricultural Research and Educational Farm (IAREF), Farm and Regional Research Institutes of Debrecen (RID), Experimental Station of Látókép, Debrecen, Hungary
| | - A Széles
- University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - J Nagy
- University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
| | - C Bojtor
- University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary
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