Analyzing the Effect of Intensive and Low-Input Agrotechnical Support for the Physiological, Phenometric, and Yield Parameters of Different Maize Hybrids Using Multivariate Statistical Methods.

Autor: Illes, A.¹ (AUTHOR), Bojtor, C.¹ (AUTHOR), Szeles, A.¹ (AUTHOR), Mousavi, S. M. N.¹ (AUTHOR), Toth, B.² (AUTHOR), Nagy, J.¹ (AUTHOR)

Publikováno v: International Journal of Agronomy. 2/18/2021, p1-11. 11p.

Seleção de híbridos de milho com base no genótipo × rendimento × característica (GYT) em diferentes ambientes

Autor: Shojaei, S. H., Mostafavi, K., Bihamta, M., Omrani, A., Bojtor, C., Illes, A., Szabo, A., Vad, A., Nagy, J., Harsányi, E., Mousavi, S. M. N.

Publikováno v: Brazilian Journal of Biology, Volume: 84, Article number: e272093, Published: 02 JUN 2023

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 ra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______608::4cd51f82390fb3387e973d1dbc57535d
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842024000100464&lng=en&tlng=en

Rendimento quantitativo e qualitativo em híbridos de milho doce

Autor: Mousavi,S. M. N., Illés,A., Bojtor,C., Demeter,C., Zsuzsanna,B., Vad,A., Abakeer,R. A., Sidahmed,H. M. I., Nagy,J.

Publikováno v: Brazilian Journal of Biology, Volume: 84, Article number: e265735, Published: 09 SEP 2022
Brazilian Journal of Biology v.84 2024
Brazilian Journal of Biology
Instituto Internacional de Ecologia (IIE)
instacron:IIE

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e754fd3166dad791dcbeb92b4d656b8a
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842024000100380&lng=en&tlng=en

Selection of maize hybrids based on genotype × yield × trait (GYT) in different environments.

Autor: Shojaei SH; Islamic Azad University, Science and Research Branch, Department of Biotechnology and Plant Breeding, Tehran, Iran., Mostafavi K; Islamic Azad University, Department of Agronomy and Plant Breeding, Karaj, Iran., Bihamta M; University of Tehran, College of Agriculture & Natural Resources - UCAN, Karaj, Iran., Omrani A; Ardabil Agricultural and Natural Resources Research and Education Center - AREEO, Crop and Horticultural Science Research Department, Moghan, Iran., Bojtor C; University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Illes A; University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Szabo A; University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Vad A; 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., Nagy J; University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Harsányi E; University of Debrecen, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Mousavi SMN; 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.

Publikováno v: Brazilian journal of biology = Revista brasleira de biologia [Braz J Biol] 2023 Jun 01; Vol. 84, pp. e272093. Date of Electronic Publication: 2023 Jun 01 (Print Publication: 2023).

Stability yield indices on different sweet corn hybrids based on AMMI analysis.

Autor: Mousavi SMN; 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., Illés A; University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Szabó A; University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Shojaei SH; Islamic Azad University, Faculty of Agriculture and Food Science and Technology, Science and Research Branch, Department of Biotechnology and Plant Breeding, Tehran, Iran., Demeter C; University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Bakos Z; University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Vad A; 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., Széles A; University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Nagy J; University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary., Bojtor C; University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, Debrecen, Hungary.

Publikováno v: Brazilian journal of biology = Revista brasleira de biologia [Braz J Biol] 2023 Mar 13; Vol. 84, pp. e270680. Date of Electronic Publication: 2023 Mar 13 (Print Publication: 2023).